Tag Archives: agriculture

Inseparable from a consideration of foodways is a consideration of labor

Throughout history, humans have obtained much of their food, fuel, and technological needs from the gathering of wild plants, horticulture, agriculture, and arboriculture. Certainly, animal products also have been important components of diet and cuisine , and there has been a recent push to integrate archaeobotanical and faunal datasets to gain fully robust understandings of past food ways . Prehispanic residents of north coastal Peru relied on two main domesticates, camelids and guinea pig, or cuy , and they also exploited white-tailed deer , rodents, small snakes, and lizards, as well as marine resources including marine otter , various near and off shore pelagic fish, sharks, rays, molluscs, and coastal seabirds such as cormorant and pelican , on the coast as well as in middle valley sites 1 . Regardless, the contribution of plant foods to Moche Valley diet was and remains substantial. While the abundance of certain plants in the archaeological record may be the result of differential preservation or ecological constraints, evidence of differential plant use between communities is often conditioned by cultural choices. For example, Morehart and Helmke’s comparison of archaeobotanical data from two Late Classic period Maya sites in the upper Belize Valley, an affluent plazuela group and a commoner farmstead, demonstrated that wood procurement and craft production were socially contingent—some households procured wood from the local environment while others obtained higher quality materials through trade, gifts, or tribute. These practices in turn impacted the organization of household labor, including gendered household tasks such as firewood collection. In addition to status, food selection is often enacted to preserve identity and tradition. In her ethnographic study of Salasacan food ways in the Ecuadorian Andes, Corr found that food informed local construction of personhood and Salasacan identity, in contrast to White/Mestizo identity. Contrasts between local/non-local, processed/natural, cultivated/store-bought, and Spanish/Indian foods served to strengthen individual as well as collective identities . In addition to the types and amounts of foods consumed,hydroponic nft system socially-constructed cuisine preferences can be archaeologically evident from distribution patterns across space.

As Hastorf highlights, ethnographic studies have shown that we can see differential spatial patterning of artifacts in storage contexts, food preparation loci, refuse disposal areas, and in or near domestic structures; such patterns are the result of habitual domestic practices. Archaeologists have successfully used spatial analysis of different contexts to examine the intersection of a variety of food-related activities with status, political economy, gender, ritual, and the public/private division . VanDerwarker and Detwiler’s analysis of Cherokee food ways from the Coweeta Creek site revealed that plant food processing took place near townhouses , complicating assumptions about gendered segregation of space in protohistoric Cherokee communities. Based on her analysis of faunal data from Neolithic Çatalhöyük in central Anatolia, Twiss suggests that each household had separate private and communally advertised identities; whereas certain feast foods were placed publically to announce particular identities to others , quotidian food stores were placed out of sight in private storage rooms on the sides of individual houses. I discuss the intersection of food and social space further in Chapter 5. Silliman explicitly problematizes anthropological conceptions of labor, asserting that a useful definition places it in an economic framework encapsulated within social relations. Citing Wolf , Silliman draws on Marx’s distinction between work and labor: work represents the activities of individuals or groups expending energy to produce, but labor represents a social phenomenon, carried out by human beings bonded to one another in society. Labor’s significance for the anthropology of power and social relations is its ability to be appropriated and enforced as well as its varying impacts on men, women, and children in households and communities. Within prehistoric archaeology, labor primarily has been approached through studies of political economy , elite control of labor and surplus , and craft specialization . Studies in historic archaeology have addressed the relationships between conscripted labor and tribute, material life, and social relations in colonial households, missions, rancherias, and plantation settings.

Many traditional Andean societies considered the control of labor to be the foundation of social power, rather than possession of material wealth or commodities . With respect to the Inka, all categories of people were categorized into different classes on the basis of their productive capabilities. As described by chronicler Guaman Poma de Ayala , the Inka empire “separated the Indians into ten classes to be able to count them, in order that they were employed in work according to their capacity and that there were no idle people in this reign.” Given the emphasis on labor relations noted in the ethnographic and ethnohistoric literature in the Andes , a deeper consideration of ancient labor dynamics seems critical to understanding Andean political economies and shifts toward increasing sociopolitical complexity and inequality. In his studies of laborers in Franciscan mission contexts and Mexican California ranchos in Alta California, Silliman employs explicit practice-based approaches to labor . According to Silliman , labor is more than simply an economic or material activity; rather, it should be conceived of “as social action and as a mechanism, outcome, or medium of social control and domination.” As Hastorf illuminates, the “places where people complete daily tasks are the nexus of grumbling, confrontation, as well as celebration and awe.” Highlighting labor as practice considers how labor regimes are implemented and then carried out on a daily basis; how labor can be a highly routinized set of practices; and how labor tasks and scheduling are experienced bodily and socially. The procurement, production, processing, and consumption of plant foods in households and for larger community events certainly require a unique set of social practices that leave archaeological signatures. Hastorf outlines a range of labor activities related to these three elements of food ways, from production to processing to consumption. Production requires preparing soil, planting, fertilizing, mulching, recultivating, watering, weeding, and collecting/harvesting, all of which may require reaping, beating, plucking, uprooting, or furrowing, which often occurs more than once during a single growth cycle. Production activities require careful attention to seasonality and scheduling, with regards to planting, crop management/maintenance, and harvesting.

With the exception of seed storage, tool production, and the generation of domestic compost, activities related to production take place in fields or home gardens where crops are grown. Archaeologists rarely investigate fields themselves to find evidence of crop production ; rather, they make inferences about production activities based on patterns of field crops, tree crops/other fruits, and wild weed seeds that make their way back to domestic habitation sites. The issue of agricultural intensification looms large in this dissertation. Prehistoric agricultural intensification would have involved increased labor investment along the entire set of tasks associated with farming: canal construction and maintenance, terracing, fertilizing, weeding, mulching, harvesting, processing, etc. Ancient farmers would have paid strict attention to seasonality and scheduling of planting, tending, and harvesting; as a result, changes in agricultural rhythms associated with intensification would have conditioned daily practices related to crop production and processing. Processing relates to a range of activities associated with preparation for immediate consumption or storage, in addition to preparing plant parts for their use as shelter, containers, tools, clothing, and so forth . These activities include threshing, winnowing, milling, leaching, grinding, etc., along with cooking activities such as parching, roasting, toasting, boiling, baking, etc. Most of these activities take place within habitation areas and require the use of various material media as well as movement through various spaces, public and private, that provide opportunities for social interaction or restrictions on visibility and community integration . Archaeobotanical data can be used to indicate the spatial location of on-site processing activities , and can also inform on processing that occurs off-site, near fields at times of harvest. Consumption, the actual intake of foodstuffs, can be reflected in food preparation and cooking strategies . In the absence of direct evidence of consumption in the form of dental calculus, coprolites, or bone chemistry data, consumption practices can be inferred via food remains within hearths, types of cooking and serving vessels, heating techniques , starch grain residues and phytoliths on cooking vessels,nft channel and scatterings around hearths and middens where food was prepared and leftovers were discarded.

Some of the literature focused on the political economy of expansionist states considers the role of food in terms of household labor organization and gender hierarchies. Andean researchers have questioned whether state development implied increases in women’s labor and changes in women’s social status . Important approaches also have been developed in Mesoamerican scholarship for considering these issues . For example, Brumfiel argued that the Aztec state increased tribute demands on households, requiring family members to spend more timing engaging in labor away from the household. She argues that women’s labor investment in food processing increased with the shift from the cooking of stews and porridge to the preparation of portable but more time-consuming tortillas. Bray and Jennings outline the enormous labor input for chicha brewing, concluding that labor investment in chicha production would have been central to Andean leaders’ ability to organize large-scale feasts. Gero and Jennings and Chatfield suggest that large-scale feasting impacted women’s status, arguing that as feasting became more centralized and production more specialized, women lost control and influence formerly held through domestic production and distribution within a household’s social network. This labor endeavor had different consequences with respect to gender and status is terms of consumption as well. In several cases, including the Inka occupation of the Upper Mantaro Valley of central Peru , the Tiwanaku occupation of Moquegua in southern Peru , and the Gallinazo occupation of Cerro Oreja in the Moche Valley , bone chemistry studies and oral health indicators suggest that men had higher maize intakes, likely a result of participation in public commensal events involving chicha. In contrast, these differential consumption patterns led to poorer dental health for women; Andean scholars have reported gendered divisions of labor in which females are responsible for masticating maize kernels for chicha production, resulting in higher dental caries rates among women . In certain parts of the Andes and Amazon it has been documented ethnographically that to sweeten chicha, women chew the maize and spit the masticated mixture into the pot where the chicha is then boiled . These differences would not result in differences in male and female stable isotope ratios, as women were not necessarily consuming the maize; depending on the location in the Andes, chicha can be made from a variety of products, and chewing and spitting is not always part of the preparation. Based on her analysis of bioarchaeological data from the Salinar and Gallinazo burials from the site of Cerro Oreja in the Moche Valley, Gagnon suggests that the men of Cerro Oreja were increasingly drafted by elite into work parties where they were provisioned with meat or marine resources, whereas women and children tended agirucltural fields and consumed the staple crops they produced and processed, resulting in different gendered diets and dental health.Hastorf documents similar patterns in for the Sausa people under Inka hegemony in the Upper Mantaro Valley; stable carbon and nitrogen isotopic values suggest that while women were producing more chicha, only certain men in the Sausa community consumed maize in supra household community events, and men also had greater access to meat. While women increased their labor in terms of chicha preparation, they did not participate in supra household consumption. In the Andes, chicha drinking reinforces social hierarchies; social status is marked by the order in which one is served chicha, and whether one acts as giver or receiver . Dynamics in which women prepared and served chicha that was then consumed by men thus has implications for status as well as traditional gender roles in Andean societies. While a wealth of literature has been devoted to feasting, work parties, etc., less often considered in discussions of political expansion, gender, and labor is a consideration of everyday labor associated with farming, foraging, and processing of foodstuffs for daily household needs in addition to supra household community. Feasts and daily meals are not necessarily mutually exclusive —when distinguishing between feasts and daily meals, often it is not the type of plant that differs but the way in which it was prepared, presented, or combined with other foods, or in terms of the sheer quantity in which it was used and/or deposited.

The sanitary work conditions variable serves as a proxy for other jobrelated dangers

Since such disorders are similar to those caused by intestinal parasites that workers could bring from Mexico or that could result from poor sanitation in a worker’s living environment, we used statistical techniques to isolate the effects of poor sanitation in the work environment. Even if poor sanitation leads to physical discomfort, the health problems may not have a a significant impact on an individual’s ability to work productively. If these health problems are debilitating, individuals suffering from them should be more likely to be on welfare or unemployment compensation or to have lower earnings. This hypothesis is tested in a model where the probability of being in a welfare program and earnings are a function of personal characteristics and poor health. The next section discusses the survey and the data set utilized in this study. The following section, describes the estimation techniques used. Next, three probit equations for gastrointestional disorders, repiratory problems, and muscular problems conditional on measures of demographic characteristics, living environment, and work environment are presented. Conditional on these health measures, the probability of receiving welfare or unemployment compensation is calculated. Next, the effect of these health measures on earnings is examined. The paper concludes with a discussion of the policy implications of these findings.Our data come from Mines and Kearny’s 1981 survey, “The Health of Tulare County farm workers,” sponsored by the Tulare County Department of Health. Interviewers chosen to administer the questionnaire were fluent in colloquial Spanish and either had farm work backgrounds or had extensive familiarity with farm workers.

This farm worker population largely consists of Mexican-born immigrants with varying degrees of experience with and assimilation into American society. While a large segment of the population the long-term settled immigrants have relatively stable living and employment conditions,vertical garden indoor system many of the more recent immigrants do not. The recent immigrants are primarily young Mexican families cr “lone Mexican males” . These workers are usually hired by crew leaders or foremen Who work for several growers, associations, or packing houses. As a result, the immigrants frequently change from job to job on a daily or weekly basis. Many workers frequently switch crew leaders as well during the season. These mercurial employment conditions are often associated with informal housing arrangements including make-shift shacks, public and private labor camps, and overcrowded apartments in small towns. Many such residences provide inadequate sanitation and food preservation facilities.Many of the survey population are foreign nationals without visas. The threat of apprehension by the Immigration and Naturalization Service induces these workers to be wary of government agencies. Thus, even when such workers are located, they are reluctant to provide comprehensive information to government officials about their employment or legal status. Moreover, most county and other government officials these immigrants meet are non-Hispanic and do not speak Spanish . As a result, more general government surveys often overlook this farm worker population, which is probably exposed to greater health risks than other groups. This study is restricted to the 367 farm workers who are the reported head of their household for whom no data are missing on key variables . Table 1 presents the means and standard deviations and formal definitions for the variables used in the analysis. The average worker is a 34 year old male, has lived in Tulare County for nearly 9 years, has access to a refrigerator and water at home, consumes nearly 8 beers a week and 5 cigarettes, has travelled to Mexico to visit his family 1.3 times in the last 5 years, has an observed family of 4 people, has a 1 in 5 chance of having been deported in the last year, is probably a harvester of grapes or citrus, and has a 30% chance that he lives in either a field or a public or private camp. Of these workers, 57% do piece work, 25% receive unemployment compensation, and 17% of their families receive welfare payments. Workers reported whether or not they exhibited various acute or chronic health problems at least once a month, and these self-reported illness are not separately confirmed. These problems are coded as binary dummy variables. As a result, ~ach of these health variables captures both serious and relatively minor problems.

The probability that a worker reports a GI problem is 17%; a respiratory problem. 26%; and a muscular problem. 50%. Although the survey only recorded the presense or absence of a job site toilet, this variable probably represents the effects of the lack of toilets, fresh drinking water, and water for washing hands. That is, the lack of toilets is believed to be highly correlated with the lack of water for drinking and washing. Other statistically significant variables also have substantial effects on the probability of having a 01 disorder. Compared to the typical worker, a female worker’s probability of having a 01 disorder is 127% higher than a male’s . Interviewers reported, however, that females were more likely to complain about both major and minor illnesses than men, so that this difference may be due to reporting difference rather than difference in health. Similar results were found in Wisconsin . Not having a refrigerator tripled the probability . An individual who lives in a public camp has a 325% higher probability of 01 disorders. A worker who lived in Mexico six months ago has a 136% higher probability of disease. The likelihood-ratio test statistic that none of the household amenities matter equals 8.46 and hence that hypothesis is rejected at the 0.05 level. Since there are only 35 households headed by a female or lacking a refrigerator and these variables have large coefficients, the health equations were re-estimated dropping those families. The resulting equations were virtually identical in terms of the effects of on the remaining variables on the probability of health problems and the asymptotic t-statistics. Based on this weak robustness test, including these two variables and the entire sample does not qualitatively alter the probit estimates. The elasticity of the probability with respect to the number of times an individual has been deported in the last year, at the sample means, is -0.16. The sign of this variable is puzzling. Other variables that are significant at the 0.10 level include the number of times one visited his or her family in Mexico in the last five years, which has the expected positive effect, and whether one is a non-Mexican foreigner, which has a positive effect. This equation correctly predicts the health of 84% of the sample, but is over-likely to predict that one does not have the disorder. This over-prediction of health is not surprising since only 17% of the sample have GI problems, and probits typically have difficulty predicting relatively rare eventsthat is, events on the tail of the distribution. Four pseudo-R2 measures and Hensher and Johnson, which range from 0.10 to 0.17, are reported in Table 2. least squares interpretation. McFadden has suggested an alternative measure of goodness of fit for an estimated dichotomous model called a prediction success index. This index compares the proportion successfully predicted for an alternative compared to that which would be predicted by chance.

This model’s prediction success index is 0.12. These results suggest that being exposed to a bacteria, parasite, or virus in lexico; lacking sanitation at work; lacking refrigeration at home; other living and working conditions; and gender are the primary factors Only two factors appear to explain respiratory problems. First. and most statistically significant , is whether the individual is a lone Mexican male worker . Nearly half of the lone Mexican male workers, who comprise 29% of the sample, reported respiratory problems, compared to 20% of the rest of the sample. The corresponding figures for GI problems are 22% versus 15%; and for muscular problems, the figures are 60% versus 47%. These lone males are the workers most likely to have recently immigrated from Mexico. They have lived in Tulare County for an average of only 3.4 years compared to 10.5 years for the rest of the sample. Controlling for other factors, a lone Mexican male has a 46.8% probability of having a respiratory problem compared to 15.4% for other males . The second factor that is statistically significant is whether the individual lives in a public camp. Compared to a worker with average characteristics,mobile vertical grow racks someone who lives in a public camp is 83% more likely to have respiratory problems.It was not a statistically significant determinant of respiratory problems, however. The pseudo-R2 measures vary between 0.11 and 0.18. The percentage of correct predictions is 73%. while McFadden’s prediction success index is0.13.As an experiment, we added to the basic specification crop and occupation variables. The coefficient on spraying is positive with an asymptotic tstatistic of 1.86, so that it is statistically significantly different from 0 at the 0.10, but not the 0.05 level. No other occupational or crop coefficient had an asymptotic t-statistic higher than 0.9. The explanatory power of that probit was about the same as the basic specification. Since this extended model produces similar results to the basic model, none of the crop and occupational variables have asymptotic t-statistics that are different from zero at even the 0.10 level in the other equations, and these variables may be endogenous, only the basic equations are reported.Respiratory problems, then, are primarily associated with lone Mexican males, but not with any particular living or working condition except, possibly, spraying and public camps. The factors that put lone Mexican males at greater risk of respiratory problems than others are unknown. Muscular Problems The results indicate that muscular problems have six statistically significant determinants. The number of deportations has an elasticity at the means of 0.05, while the number of trips to visit relatives in Mexico has an elasticity at the means of 0.08.

Presumably these variables are correlated with being a worker who changes employers frequently and who lives in rough conditions, not otherwise measured. The same explanation of frequent employment changes can be applied to the lone Mexican male variable , whether one lived in Mexico six months previously , and the public camp variable as well.Finally, males are 41% less likely to have muscular problems. This variable may reflect physiological differences, since males are more likely to have jobs involving heavier lifting. Females may do jobs that involve more bending over and may suffer from muscular problems relating to giving birth to and raising children or they may report problems more frequently than men. Again, the sanitary work conditions variable was included as a proxy for other dangers at the workplace. However, it did not have a statistically significant effect. The pseudo-R2 measures range between 0.10 and 0.17. The percentage correctly predicted is 64.6, while McFadden’s prediction success index is 0.13. Apparently workers who change jobs often suffer from more muscular problems, although that factor is only indirectly measured in our sample. Presumably they work at jobs that involve more muscular strain or live in worse conditions that are not measured explicitly by the sample questions. Again, no particular crop or activity is statistically significantly related to muscular problems. Thus, individual characteristics and home and job site conditions have statistically significant effects on three health problems. It is possible, however, that these health problems do not have a significant impact on an individual’s ability to work productively. If these health problems are debilitating, individuals suffering from them should be more likely to be partially or totally unemployed or to be less productive on the job. These effects should be reflected in higher probabilities of being on welfare or unemployment compensation or to have lower earnings.We first test the hypothesis that ill-health contributes to higher participation in welfare programs and then the earnings effects are considered. Both welfare and unemployment compensation are modeled as functions of personal characteristics and the three health problems. The sample includes a disproportionate number of employed agricultural workers, so the following results probably underestimate the full effect of ill-health for the population at large. Further, since only three health problems are studied, all ill-health effects are not captured. Indeed, severe health problems were excluded because their effects are self-evident. Since our database does not contain information about the eligibility of individuals or families for the programs, the participation rates examined in the following equations reflect the combined effects of being eligible and applying to the programs.

The impact of the yield-increasing technology  is more complicated

Breakthroughs in higher yields lead to faster spread and replacement of new varieties for some crops but not others. The positive and significant signs of the Yield Frontier variables in the wheat VT equations  demonstrate that when higher yielding wheat varieties appear in their provinces farmers turn their varieties over more frequently. The correlation between a higher yield frontier and more rapid turnover may explain why wheat yields outperformed other major grains during the reform period. In contrast, higher values of Yield Frontier variables in the rice and one of the maize equations are associated with slower turnover . Such a finding is consistent with our gap analysis and may reflect the fact farmers  in the mid- to late-reform period prefer adopting higher quality rice varieties, even though higher yielding varieties are available. The impact of the materials from the CG system is mainly a story of the China’s breeders using IRRI and CIMMYT varieties for the yield enhancement of their seed stock. If it can be assumed that, when China’s breeder incorporate foreign germplasm into its varieties, the material contributes to part of the rise in productivity, then the test of the direct impact of CG material is seen in the results of the TFP equation. If technology is important in all the TFP equations, by virtue of the fact that IRRI’s material is used more frequently by China’s rice breeders, compared to that used by wheat and maize breeders, it is making the largest contribution of the CG system to China’s TFP in the reform era.It is possible, however, that foreign material may be bringing in an extra “boost” of productivity, beyond its contribution to the varieties themselves,hydroponic grow table by increasing the rate of turnover of new varieties.Such an effect would show up in the VT equations. If the coefficients of the CG variables were positive and significant, they would indicate that the presence of material from CG centers makes the varieties more attractive to farmers and contribute to technological change in China in a second way.

In fact, there is not particularly strong evidence that increases in the presence of IRRI material is important in increasing the turnover of rice varieties . If farmers are, in fact, mainly looking for characteristics that are not associated with higher yields, it could be that IRRI material is making its primary impact on yields and only a secondary impact on the other traits that have been more important in inducing adoption in the reform period. A similar cautious interpretation is called for in the case of wheat and maize  where the standard errors are large relative to the size of the coefficient in all but one case. But although the contribution of CIMMYT wheat and maize germplasm to China, according to this analysis, may be smaller, in some provinces the contribution of CIMMYT’s material has been large and may have extraordinary effects on the productivity of some of China’s poorest areas. For example, the CG genetic materials contributes more than 50 percent of Yunnan Province’s wheat varieties and more than 40 percent of Guangxi Province’s maize varieties in the late 1980s and early 1990s. Yunnan and Guangxi Provinces are both very poor provinces and some of the poorest populations in China are in the mountainous maize growing areas. Elsewhere , we have shown that the impact of CG material in poor provinces, in general, is more important than its effect in rich areas—both directly and in some cases in terms of inducing more rapid turnover. Such a pattern of findings is consistent with a story that although the focus of the CG system on tropical and subtropical wheat and maize varieties has limited its impact on China productivity as a whole, it has played a role in increasing technology in poor areas, a chronic weakness of China’s research system .Our results for the TFP equation, presented in Table 4, also generally perform well. The goodness of fit measures  range from 0.80 to 0.85, quite high for determinants of TFP equations. In other work, in India for example, the fit of the specification was only 0.17 . The signs of most of the coefficients also are as expected and many of the standard errors are relatively low.15 For example, the coefficients of the weather indices are negative and significant in the TFP equations in the rice, wheat, and maize specifications . Flood and drought events, as expected, push down TFP measures, since they often adversely affect output but not inputs.

Perhaps the most robust and important finding of our analysis is that technology has a large and positive influence on TFP. The finding holds over all crops, and all measures of technology. The positive and highly significant coefficients on both measures of the rate of varietal turnover  show that as new technology is adopted by farmers it increases TFP . Following from this, the positive contributions of China’s research system and the presence of CG material both imply that domestic investments in agricultural R & D and ties with the international agricultural research system have contributed  to a healthy agricultural sector. Further analysis is conducted to attempt overcome one possible shortcoming of using VT as a measure of technological change. It could be that an omitted variable is obscuring the true relationship between VT and TFP. As varieties age, the yield potential may deteriorate . We add a variable measuring the average age of the varieties  to isolate the age effect from the new technology effect . Although we find no apparent negative age impact on TFP in any of the equations , in a number of the regressions, the coefficient ofVT variable in the TFP equation actually rises, a finding that reinforces the basic message of the importance of technology. The role of extension is less simple. The impact of extension can occur through its effect on spreading new seed technologies  and through its provision of other services enhancing farmer productivity . The positive and significant coefficients on the extension variable in all of the VT technology equations for all crops demonstrate the importance of extension in facilitating farmer adoption . Extension, however, plays less of an independent role in increasing the yield potential of varieties that have been adopted by farmers, perhaps an unsurprising result given the reforms that have shifted the extension from an advisory body to one that is supporting itself, often through the sale of seed .The long-termsustainability of agricultural systems concerns diverse groups of people. They emphasize different aspects of sustainability, from land steward- ship and family farms, to low external-input methods and food safety. Often there are two different themes: sustainability defined primarily in terms of resource conservation and profitability, and sustainability defined in terms of pressing social problems in the food and agriculture system.

Each of these perspec- tives has been illustrated by William Lockeretz1 and Miguel Altieri.2 In his review article on sustainability, Lockeretz documented primarily production-oriented components of sustainability. Altieri, on the other hand, has pointed out that concentration on only the technological aspects of sustainability results in, among other things, failure to distill the root causes of nonsustainability in agriculture. While sustainability efforts need to address both social and technical issues, they frequently overemphasize the technical, a problem we see originating in the way sustainability is often defined. Our purpose in this paper is to discuss concerns about current sustainability definitions and suggest a definition based upon a broader perspective.Among those working in sustainability there is often a feeling that we need to devote less time to talking about the meaning of sustainable agriculture and more time to implementing it. While this is an understandable position, especially for those directly involved in production agriculture, it also expresses a contradiction. How can we form an improved agricul- tural system if it has not yet been clearly conceptual- ized? Lockeretz1 queries, “Isn’t something backwards here?” and shows that, although there is a surge of interest in agricultural sustainability, “even its most basic ideas remain to be worked out.” There is no generally accepted set of goals for sustainable agricul- ture, and little agreement even on what and who it is we intend to sustain.3 Is it possible, for example, to both sustain production levels and preserve the natural environment? Who should we work to sustain – farmers, consumers, future generations – or should all of them be our priorities? Can we truly sustain one group without considering others? Without clarifying these goals the necessary changes in cultural, infra- structural, technological, and political arenas are difficult to negotiate. If we want sustainable agricul- ture to pursue a path differentiable from that of conventional agriculture, we need to explicitly state and gain some consensus on these goals. A clear, comprehensive definition of sustainability forms the necessary theoretical foundation for articulating sustainability goals and objectives.The emergence of agricultural sustainability reflects many people’s dissatisfaction with conventional agricultural priorities, especially the extent to which short-term economic goals have been emphasized over environmental and social goals. In response, a number of agricultural sustainability concepts have been developed under the terms “alternative,” “regen-erative,” “organic,” “low-input,” and “sustainable.” In this paper we refer to those definitions most com- monly espoused in the agricultural research commu- nity, definitions which are predominant in the literature and are used as the basis of sustainability programs.

We examine what priorities these defini- tions embody, how these priorities relate to those expressed in conventional agriculture,flood tray and how developing sustainability would benefit by broadening these priorities. Althoughsustainability definitions include a range of environmental, economic, and social characteris- tics, most focus somewhat narrowly on environment, resource conservation, productivity, and farm- and firm-level profitability. Charles Francis4 defines sustainable agriculture as a “management strategy” whose goal is to reduce input costs, minimize envi- ronmental damage, and provide production and profit over time. The National Research Council5 defines alternative agriculture as food or fiber production which employs ecological production strategies to reduce inputs and environmental damage while promoting profitable, efficient, long-term production. For Richard Harwood6 the three principles for sus- tainable agriculture are: “the interrelatedness of all parts of a farming system, including the farmer and his family; the importance of the many biological balances in the system; the need to maximize use of material and practices that disrupt those relation- ships.” According to Vernon Ruttan7 enhanced productivity must be a key factor in any sustainability definition. Rod MacRae, Stuart Hill, John Henning, and Guy Mehuys8 adopt a sustainability definition which emphasizes environmentally sound production practices. They note that sustainable agriculture today is characterized mainly by products and practices which minimize environmental degradation, although they also point out the potential to move beyond this restrictive application. In his review of sustainable agriculture definitions, Lockeretz1 stresses agronomic considerations although he does note the connection between changing production practices and associated socioeconomic transformations. Sustainabilitydefinitions such as the above focus on environmental conservation which is to be achieved through changing farm production practices without reducing farmers’ profits. They challenge some but not all of the assumptions that underlie agriculture’s nonsustainable aspects, generally neglecting questions of equity or social justice, or devoting little specific language to it. Altieri,2 for one, has challenged the narrowness of these approaches and their implicit assumption that taking care of the environmental, production, and economic aspects of sustainability automatically takes care of social aspects: “Intrinsic to these [agroecology] projects is the conviction that, as long as the proposed systems benefit the environment and are profitable, sustainability will eventually be achieved and all people will benefit.” Altieri has noted that without intervention on policy, research, and other levels, the more appropriate technology devel- oping in the name of sustainability will merely perpetuate and enhance the current differentiation between those members of society who benefit from agriculture and those who do not. Furthermore, the technology itself will not be developed and used unless we address the cultural, infrastructural, and political factors which shape how it is designed and implemented. These factors include scientific para- digms, fiscal policy, international trade, domestic commodity programs, and consumer preferences.Pursuing the dialogue on sustainability is essential in order to make visible the often invisible assump- tions and priorities which have governed agricultural research, policy, and business decisions leading to nonsustainable systems.

Farmers also need instances of trust as machinery rings to encourage them to share data

Data that farmers generate and collect are comparable to the business secrecies of other economic actors because the information from data means an advantage in knowledge and competition.However, as data are not physical and are easily duplicable, it was until today not possible to define a right on data ownership.Within the intellectual property law, it is difficult to dispense justice on a copyright law basis, concerning data that are regularly not the result of thinking, creating processes.Mere, unordered collections of “raw data” are not protected in this context, and also the GDPR does not apply in such cases.But farmers’ data in the normal cloud-based communication ways are exposed to several third parties.Data security, data ownership, and data safety, also for impersonalized data, need to be addressed for example by entering the corresponding parties into contracts so that impersonal data are as save as personal data are.Another possibility to personalize data is offered by the block chain technology itself and furthermore the use of NFT.Data stored in this way in a block chain still can be copied but the authenticity of data is safely defined.Furthermore, decentrality amongst clouds is recommendable to increase data security.Vogel summarizes, that data sovereignty is hardly guaranteed and whoever is in possession of the data can use it as wished.Undesirable market dynamics that could lead to extortion of individuals and the lack of criteria defining data sovereignty led the German Conference of Justice Ministers to reject the creation of defined data sovereignty.Contracts with the according service providers could bring data sovereignty to farmers but may also lead to unfavourable “lock-in” effects.To strengthen data sovereignty several activities took and still take place.There was an industry recommendation in Germany heading to assure full control of data sovereignty and rights of use to the farmer.On a European level, there is “The EU code of conduct on agricultural data sharing” heading the same aims and centralizing clear contracts between collaborative parties after the principles of the code.

The number of signatories representing farmers, industries, and cooperatives is gratifying and promising.However, still,vertical rack system several security issues on different layers of digital farming systems are present.Therefore, concepts are needed which provide suggestions of systems that give control to the data originators or trusted parties of them and provide open, simple, and interoperable solutions, facilitating the introduction and continuation in digitization for every farm size.In the authors’ point of view, absolute data sovereignty belongs to the farmers concerning any data which are generated in the fields of their responsibility.Farmers are the owners of these data, this needs to be legally protected and substantiated by unique identification methods of the corresponding data.In the near future, this needs to be taken care of, from the beginning of a cooperation, service, or machine purchase.The EU code of conduct is a good basis for the beginning of a legal process.Farmers are encouraged to use the “Code of conduct” for the critical examination of appropriate solutions.Defining the term IoT as a technology still seems misleading.Paraforos unites numerous definitions to the common denominator of a technological paradigm.One might consider IoT as an integrating network of technologies interacting and exchanging data in an ideally interoperable way.Kim categorizes the applications of IoT fourfold in management systems, monitoring systems, control systems, and unmanned machinery, which include respectively a perception layer where physical properties are recognized, the network layer realizing M2M communication, and the application layer where the data is being used or processed to information.Chaudhary conducted a case study on AGCO’s Fuse Technology’s ‘Connected Farm Services’ as a commercial IoT example covering farm management, standard field works, monitoring, and dealer telemetries.They mention as a major vulnerability issue the centrally connected network and the therefore comprehensive need of cyber security measures.IoT offers practical and also monetary benefits at farm level if it is tailored to the needs of the user as realized in the specific example of sugar cane production shown by van de Vooren.Increased invention and application of IoT solutions lead to a strongly increased number of devices and data traffic which reveals the transmission and computing limits of cloud solutions.

Therefore, applying edge and/or fog computing, data processing is being decentralized from the cloud, on or close to the data acquiring device, to the edge of the network, leveraging this problem.This results in a lowered latency by avoiding edge to cloud or edge to enterprise server round trips.By processing computing workload on edge devices or edge servers/gateways network congestion is minimized.Furthermore, data privacy and security are increased by installing access control options at the corresponding edge device/ gateway.Also, storage and intelligence capacities from the cloud can be mirrored on the edge servers.Fog computing is usually localized one level beyond edge computing in the network.Like this, a decentralized and redundant infrastructure evolves and leads to more independence from centralized cloud solutions.As it was mentioned by Jha and Patidar in a market report: “The global autonomous farm equipment market is projected to expand at over 10% CAGR through 2031, and top a market valuation of US$ 150 billion by 2031”.Numerous Start-Up companies all over the world develop robots and autonomous systems for agricultural purposes.Also here the amount of data that is and will be generated and has to be transferred, increases, and has to be processed in high quality and quantity to ensure continuous functionality to the autonomous systems also using AI.The actual working speed and efficiency of autonomous systems are still low, which makes working hours in narrow time windows of certain works even more crucial/critical.Furthermore, a full customer service is needed, which also is a matter of costs.For technical issues or hardware problems, a service technician needs to be present near-time, and also for remote services in case of software issues farmers need real-time online support.Thus, these solutions need a solid and seamless digital infrastructure to exploit the full potential of each device.Due to the competition of OEMs, whose interest in data sharing is limited, the development of infrastructure is always lagging behind the development of single devices.But to be forearmed for the use of autonomous systems, the infrastructure conceptualization and development should be forced.A nice example shows Saito by using XML standards for directing robots to target plants.Today AI in agriculture is used in decision support systems, expert systems, and agricultural predictive analytics.Digital twin methods are dealt with for modelling future scenarios and preventing disadvantageous circumstances.Furthermore, data over periods of decades could reveal regionally optimized crop rotations, cultivar selections, and cultivation strategies by the application of AI.

However, to reach this, the form of data storage, transmission, and processing must orient on international standards to ease the interoperable interactions of systems that can reflects entire agricultural processes.Slurry application is an often delegated application for small and medium-sized farms today.Customers can order the service of a self propelled slurry applicator using precision farming technologies like auto-steer, online NIRS nutrient analysis, and site specific slurry application including section control, which farmers themselves would not invest for, for their own farms alone.If VRA is conducted, the data transmission goes via a USB stick.Which can be inconvenient, due to the risk of data and hardware loss, and can be time-consuming if changes in the application map are necessary.The data upload to the cloud can be tedious in rural areas because of narrow bandwidth and low mobile network coverage but also occur to be minimized by weak performance of the cloud services.FMISs lack interfaces for seamless data transmission and task execution.Task documentation also demands increased knowledge and skills of drivers to organize and overview data of multiple farms.The billing of the single tasks hereafter is done by hand and transferred to the computer manually for finalizing the invoicing.To summarize, high-tech machines and digital farming components are available and implemented but are barely used to their full potential up to automated documentation and billing, due to the lack of infrastructure and/or not interoperable or isolated components.To meet the responsibility for a critical infrastructure and the weather-dependent and therefore, time-critical conditions in agriculture, specific requirements concerning the digital infrastructure are to be fulfilled.If services or devices, which generate or need data, do not work at the application date, in most cases farmers will continue without it.This chapter aims to specify the requirements of regional and on-farm ICT infrastructures.Farmers’ independence of the susceptibility of centralized systems and the straightforward inclusion of small and middle scaled farms are the main focus.

For the application of field measures like seeding, plant protection, or fertilization, various information can be used and are required to achieve maximum efficiency.The existing, actual, and forecasted data of soil, plants, and weather conditions are decisive.Therefore, these agronomic data need to be easily accessible to farmers if they don’t acquire them themselves.The structure and the format of these data must further be readable and processible in farmers’ FMISs.The combination and systematic processing of these data should be straightforward via accessible algorithms and knowledge bases which are accessed and used by the management software of the farmers.Like this,mobile grow rack farmers have the information to make profound decisions which they need directly in crop management and field applications.Additionally, to existing data like yield maps or satellite images, these data are to be combined and supplemented in the prescription map by merging also dynamic and non-deterministic parameters by farmers as Heiß et al. showed in their work.Most FMISs and other digital farming components are and will be based on cloud computing solutions.Reasons are the advantages for the companies like better customer support, instant new updates, and decentral data management.However, to correspond to the need for resilience, centralized cloud-based services can become redundant and fail-safe by decentralization.In Fig.1 it is highlighted where decentralization can be realized.Decentralization is required within the cloud layer, by placing functionalities redundantly within further clouds ideally with geographically remote located servers.In the lower layer of fog computing, an additional, regional server location, driven by an MR or a local government institution , can be implemented to expand decentralization on a regional level.Server maintenance and corresponding storage, back up and computing capacities must be provided by the responsible institution.At the farm level, a farm server tailored to the farms’ needs is required.It must be able to define the access rights to farm data for third parties and has to ensure the required data protection and data privacy.The red arrows in Fig.1 show the current means of data acquisition, communication, and processing in the corresponding clouds: From sensor/ device to OEM cloud to FMIS and back or further to other destinations.

The path over the cloud is the preferred way in the suggested FDFS.Alternatively, and/or additionally, in case of disconnection or outage, data can be sent to the farm server and be processed there or on the district servers to maintain functionalities.For the interpretation of this data, a certain level of intelligence in offline software on the farm server or secondary servers is needed because farmers hardly deal with raw data.The prerequisite for the common communication path in Fig.1 and as well for the connection between farm and regional server locations is the expansion of broadband internet over landline connection and mobile network coverage especially to rural areas where farms are located.For realizing the resilient communication path , a local on-farm network is required to sustain data communication between sensors/devices and farm server/farm PC.To enable communication during internet outages between farmers, farmers and contractors/MR, etc., a network communication technology is required which ensures data communication over an area expansion that covers the region of the farmers, their partners, and contractors.Here only small and necessary amounts of data need to be sent for example to communicate basic data of an application task.Furthermore, especially for small and middle scaled farmers who have to communicate with different brands through MR and contractors, interoperability of digital technologies is a major requirement.This concerns all components of an FDFS beginning at data structures on sensor level and ending at interfaces to sales and purchase.Finally, the FDFS needs to ensure data safety and security.The more digitization proceeds the more important this requirement becomes.The systems must be protectable against unwanted and malicious access.Traceability of data must be given so that it is known to the farmers who use their data and for which purpose.Furthermore, information about the production process is offered to the customer which increases trust in farmers’ practices.

N2O emissions increase exponentially with increasing N fertilizer at rates greater than the crops need

Although only 16% of households practiced AWD, this technique proved to be effective for paddy producers who reached a higher efficiency score of 1.144 in the AW season.This implies that the positive differences in the efficiency of the two farmer groups were mainly due to input reduction strategies.A similar circumstance amongst other groups was also evident; however, these figures were not statistically significant in the AW season.difficulties for farmers in 1M5R and AWD application still exist, including weather conditions , the surface of rice field not adequately leveling, and inefficient operation of irrigation systems and water management by small households that are some distance from canals.In addition to SBM scores, it is important that the information on input slacks is fully understood because it demonstrates the excessive usage of inputs and how well the farmers respond in managing their resources during production in order to achieve the greatest efficiency.The slacks of the main input components by rice group are shown in Table 5.First, in the SA season, the largest and smallest slacks of seed density belonged to HR at 45.46 kg/ha and AR group at 29.70 kg/ha, respectively.In the AW season, farmers decided to reduce the amount and not waste seeds.The seed slack of the AR group appeared unchanged at approximately 29 kg/ha.The MR group generated equal slack of seeds at 30.21 kg/ha to AR; meanwhile,vertical grow rack of the figure for the HR group was up to 38.24 kg/ha although it was reduced by 7 kg/ha compared to the SA season.

The largest slacks of N, P2O5, and K2O fertilizers were observed in the HR group in the SA season, followed by the MR and AR groups.Second, in the AW crop, farmers used N at 35 kg/ha with AR varieties.Due to the high risk of pests and disease in the SA season, farmers wanted to spray more pesticides and herbicides, which led to larger slacks in every rice variety group.Irrigation slacks between AR, HR, and MR in the AW season were much higher than those in the SA season.Producers have to pay for water pumped in and out of the field to maintain the continuous flooding status of rice plants.Between the rice groups categories, MR cultivation required an irrigation cost approximately 1.78 times higher than that of AR.In AW season, it is feasible to apply multiple drainage or AWD techniques to reduce water use , while simultaneously reducing the GWP of CH4 emissions.Water-saving irrigation and field drying will reduce CH4 emissions, while reducing the use of chemical fertilizers which will reduce N2O emissions from rice cultivation.The same conclusions were drawn from studies by Linquist et al., Snyder et al., Yang et al.and Zhang et al.; i.e., reducing the flooding status in paddy fields by applying AWD and N fertilizer management will help households mitigate GHG emissions.Therefore, it is important to understand information on input slacks combined with CSA practices as presented in Table 6.Regarding N fertilizer use, the 1M5R adopters had significantly smaller slacks than non-adopters in the two seasons of 13.27 kg/ha and 12.84 kg/ha, respectively.In addition, CSA practice was also effective in reducing the wastage of water, as evidenced by smaller slacks in irrigation costs for 1M5R and AWD adopters.In the SA season, the difference in excessive irrigation cost between 1M5R and conventional farmers was approximately 177,000 VND/ha, while the difference between AWD adopters and non-adopters was 148,000 VND/ha.In the AW season, although the slacks were all larger than in the SA season, 1M5R and AWD were still efficient when the participants had significantly smaller slacks than non-participants.Managing nitrogen and irrigation slacks more efficiently by practicing 1M5R and AWD, farmers can better adapt to climate change, sequester more carbon in the soil, and reduce GHG emissions, such as N2O emission intensity.Thus, paddy producers can significantly reduce N2O emissions from their fields by more precisely estimating N fertilizer needs and reducing N slack in each production step.Based on the manual of GHG emissions estimation in agriculture , we attempted to connect GHG mitigation with the reduction strategy of N.GHG emissions from synthetic N fertilizer consist of direct and indirect N2O emissions.

Direct N2O emissions occur at the source by microbial processes of nitrification and de-nitrification and indirect N2O emissions are produced from atmospheric after re-deposition and leaching processes from managed soils.Since there has been no regional N2O emission factor for paddy cultivation in the MKD, China’s direct N2O EF  for rice production, and the FAO N2O EF are available for reference.However, China’s EF does not provide an indirect EF for rice production.Thus, we used the FAO N2O EF for synthetic fertilizer use for both direct and indirect emissions.Table 7 presents the possible reduction of N2O emissions by rice groups when the slacks of N fertilizer were reduced by 100% and 50%.In the SA season, it was estimated that if the slacks of N could possibly be reduced by 100%, AR, HR, and MR households can mitigate N2O emissions by 62, 74.2 and 70.7 kg/km2, respectively.If farmers can only reduce 50% of slacks, those figures will be 31, 37 and 35.35 kg/km2 of N2O, respectively, for the three rice groups.In the AW season, although the N application rate was similar to the SA season, the AR group had a larger slack of N.Thus, there was no need to apply approximately 100 kg of N per ha for AR production in the AW season.If it is possible to minimize 100% of N slacks, AR, HR and MR paddy producers should be able to decrease the amount of N2O at 73, 64.7 and 66.3 kg/km2, respectively.Regarding mitigation strategies, it is important to apply nitrogen fertilizer following these four principal management factors: right source at the right rate, right time, and right place.These 4Rs should be used together in a comprehensive plan appropriate for the cropping system and also account for all sources of nitrogen input to crop fields.If the 4Rs are practiced and monitored well, they will increase crop yield and profitability, while also greatly reducing GHG emissions.Information on the 20 most super-efficient paddy farms is presented in Table 8.The AW season with advantageous weather conditions helped households reach much higher super-efficiency scores.Households with super-SBM scores > 4 were super-efficient DMUs and could be considered as outliers in the sample.There were households that appeared to be super-efficient in the two seasons with their unchanged AR and HR varieties, including BL032, BL034, and BL036 with Nang Hoa 9 variety; AG078 and DT032 with OM5451 variety; and BL028 and DT100 with Dai Thom 8 variety.BL032, BL034, and BL036 were cooperative members, which is why they were confident of the support from cooperatives when producing AR in the wet and rainy seasons.Although both AG078 and DT032 produced the same OM5451 variety, their products were sold at very dif-ferent prices during the two seasons.AG078 sold their paddy to traders at a price of 4950 VND/kg and 5200 VND/kg in the SA and AW seasons, respectively.DT032, with a pre-arranged farming contract, could obtain much higher prices at 6100 and 6200 VND/kg in the two seasons.Moreover, AG078, DT032, BL028, and DT100 all belonged to local paddy cooperatives.In addition, some households preferred to change their rice varieties when the AW season began.They were: AG062 and CT027 changed from OM5451 to Dai Thom 8; BL081 changed from Nang Hoa 9 to Dai Thom 8; BL047 changed from Dai Thom 8 to Nang Hoa 9; and CT019 changed from sticky rice CK92 to Dai Thom 8.

Among those households that practiced variety switching and were still super-efficient, household CT019 produced sticky rice CK92 in the SA season and was even more successful when changing to AR Dai Thom 8 in the AW season, with super-SBM scores of 3.77 and 6.48, respectively.This was good evidence of efficient farming owing to their cooperative membership and 1M5R package application in the field.Household BL047 changed from Dai Thom 8 in the SA season to Nang Hoa 9 in the AW season because of the contract between the enterprise and farmer.Thus, the selling price of paddy rice was also very high at 6300 VND/kg and 7200 VND/kg in the SA and AW seasons, respectively.Households AG062 and CT027 changed from OM5451 to Dai Thom 8 because they wanted to obtain higher output prices from individual traders at harvest.The appearance of Dai Thom 8 and OM5451 varieties in the list of super-efficient households confirmed their super-efficiency when grown in different ecological zones in the MKD.In particular,vertical grow tables aromatic Dai Thom 8 and Nang Hoa 9 varieties cultivated by households in Bac Lieu province appeared to be strongly adaptive to the environment and continued to be efficient overall.Thus, producing AR and HR using CSA techniques can not only bring economic benefits to farmers but can also protect the environment and mitigate GWP by reducing GHG emissions.The farming area and quantity of MR should strictly follow the government’s recommendations.Agricultural businesses face a vast number of simultaneous challenges.Shrinking marginals, complicated pan-European regulations and external, as well as internal, demands to mitigate their environmental footprint are all examples of requirements to be met.As a response, several different techniques are proposed to meet the needs of farmers.Even though farming has been developing technologically for centuries, the 21st century offers a wide range of technological possibilities that could deeply affect the future of farming.One of them is Artificial Intelligence.AI is to a large extent responsible for the smartness in smart farming.The term ‘smart farming’ constitutes a wide scope and demanding expectations.In this paper, smart farming is defined as the system of data driven tools for decision support in one or several parts of a farm’s production, not restricted to nor limited by the agricultural sector they belong to.Smart farming could enable increased yield volumes, mitigate the workload for farmers, contribute to climate change adaptation and future-proof farming for the coming centuries.With this in mind, smart farming is expected to affect several areas within the agricultural sector.To mention a few, some trained AI models are implemented to predict the optimal time for planting and harvesting crops, prevent nutrient deficiencies and the spread of diseases, and guarantee food safety.

Contrary to most earlier research, this study investigates technical aspects as well as non-technical aspects of smart farming.Several earlier studies have scrutinized technical aspects such as optimal remote sensing picture resolution and important cyber security aspects to sensor systems.Here, those aspects are considered but other essential, practical aspects such as data ownership and data sharing are also analyzed.Furthermore, non-technical aspects to smart farming, for instance trust and profitability, are discussed.By this interdisciplinary approach, new insights into the possible application of AI in agriculture are provided.Additionally, the wide scope allows for a comparison between three different agricultural sectors: arable farming, milk production and beef production.The study took place in Sweden, but a large part of the findings may be relevant in an international context as well.Thereafter, qualitative data was collected through a semi-structured interview study examining how different agricultural stakeholders regard smart farming technology.All interviews took place in the first half of 2021.In total, 21 respondents were interviewed from different parts of the agricultural sector in Sweden.Table 1 shows an overview of the respondents.The respondents were grouped by their occupation, where ten are individual farmers , seven are people working at commercial enterprises and cooperatives in the agricultural sector , two are researchers at Swedish research institutes and the remaining two work at a governmental agency.Out of the seven respondents from commercial enterprises and cooperatives, four come from organisations that are deemed to have some economic interest in the agricultural sector, although they also have a cooperative function.Two other respondents in the same categorization are strictly cooperatives, one with ties to the public sector.The final is a certification organ.The interviewed researchers are hired by a Swedish university with agricultural focus, and the respondents from the governmental agency are also tied to different functions within a Swedish authority focused on agriculture.The interview questions are included in the Supplementary Materials.The lists of questions were created prior to the interviews and have not been altered.different lists of questions were used for farmers and for organizations, companies, governmental authorities and researchers.For farmers, a different set of questions was used for those farmers familiar with the concept of smart farming , vs.those farmers not familiar with the concept of smart farming.For organizations, companies, governmental authorities and researchers, only one list of questions was used, since all were selected based on their experience with smart farming.

There are at least three major obstacles to more widespread use of the agricultural easement technique

Not included in these estimates were other agricultural acres protected by easements primarily for environmental purposes, such as wetlands, habitat and riparian corridors . Anecdotal evidence suggests that there are many thousands of such acres throughout the state, with easements acquired and held by local land trusts and open space districts, national conservation organizations such as The Nature Conservancy, and state and federal wildlife agencies . Of the 34 organizations, only 24 had acquired agricultural easements by 2000, reflecting that many new programs are still in the formative stage. The programs studied held 29,600 acres in non-agricultural easements and owned outright another 90,900 acres in natural resources and recreational areas, indicating that many programs pursue multiple conservation goals. Only about one-fifth of the total agricultural easement acres were cropland; four-fifths were grazing land. By comparison, cropland and grazing acres represent much larger and smaller shares, respectively, of California’s total farmland base — about one-third and two-thirds of the total . One explanation for the prevalence of grazing acres in easement programs is the relatively large size of cattle ranches and the preference of some programs to put an easement on one large ranch in a single transaction, rather than undertaking the more difficult task of seeking multiple easements from numerous owners of smaller cropland farms. Farms under easement are an infinitesimal share of California’s total 27 million agricultural acres. These are located in only 19 of the state’s 58 counties . They are concentrated in eight coastal counties from Mendocino to the north and Santa Barbara to the south, and in three adjacent Bay Area counties . The coastal counties alone contain more than 80% of all easement acres. Three Central Valley counties are also represented in the easement ranks. This geographical pattern is also notable for the regions that lacked any agricultural easement activity in 2000: the southern and northern thirds of the state. Just as striking is the absence of many important agricultural counties.

Among the 11 counties that lead the state in agricultural production value, each with at least $1 billion in market receipts in 1999,round plastic pots only three contained agricultural easements as of mid-2000 . Counties with farm market values of $1 billion or more in 1999 that did not have agriculture easements were Imperial, Kern, Riverside, San Diego, San Joaquin, Stanislaus, Tulare and Ventura. On the other hand, Sonoma and Marin — the top counties in agricultural easement acres — ranked 16th and 44th, respectively, in farm market value among all California counties. The pattern of varying easement activity among top agricultural counties can be explained, in part, by underlying differences in the conservation sentiments of local populations. For example, Central Coast voters have shown higher levels of support for environmental measures on statewide ballots than voters in inland and southern counties . As a result, citizen coalitions with land conservation or other environmental agendas are more likely to form in Central Coast communities, which may explain the relatively larger number of land trusts in these areas. Yet not all Central Coast counties have active agricultural easement programs. Santa Cruz, Santa Clara and Ventura counties, for example, had recorded no agricultural easements or far fewer than nearby areas as of mid- 2000. In interviews, conservation organization managers cited as reasons the higher costs of acquiring easements on farmland in some of these locations and the greater interest of local land trusts in conserving environmental lands and engaging in educational and other activities.Each of a dozen programs — 11 land trusts and one open space district — had acquired easements on 1,000 or more agricultural acres as of 2000. Their collective holdings totaled about 79,000 acres, 94% of the state total. Among the 12 programs are six coastal programs, three in adjacent counties, two in the Central Valley and one statewide program . The two largest programs combined held more than 46,000 farmland easement acres, or slightly more than half of the statewide total. Serving adjacent North Bay counties, Marin Agricultural Land Trust and the Sonoma County Agricultural Preservation and Open Space District have been the two most active farmland easement programs in California since the mid-1990s. More than 150 separate transactions were represented by these easements. In some cases, the number of separate transactions is a better measure than total acres of the organization’s achievements, since each transaction is the result of a complex process that includes extensive landowner negotiations.

Most of the 12 programs exclusively or primarily hold easements on grazing land. Only the Monterey, Yolo and South Livermore Valley land trusts are exclusively or primarily involved in acquiring and holding easements on cropland, although several others with large holdings in acres overall also have significant cropland acres. The crops grown on easement-protected land include artichokes, strawberries, vegetables and grapes in coastal counties, and field and orchard crops in the Central Valley.The first agricultural easement in California was acquired by MALT in 1983. In fact, most of the easements accumulated by all agricultural programs by 2000 had been acquired only in the previous 5 or 6 years, since the early and mid-1990s. The 12 leading programs quickly established successful records. Other programs in our sample had accomplished far less or had yet to acquire their first agricultural easements, although some had placed significant amounts of non-agricultural land under environmental easements. Each of the leading programs followed a unique path, but they have several underlying factors in common. The most critical element seems to have been early access to funds or other acquisition resources, in part a result of fortunate timing, location and community support. But success was also the result of the skill and persistence of program staff and community leaders in working with landowners and putting together the resources to complete easement deals.The coastal location of four programs gave them access to state conservation funds earmarked for this region. California state government for several decades has targeted the long, narrow Pacific coastline for special conservation measures, starting with the creation in 1972 of the Coastal Commission, a land use regulatory agency. A more beneficial action for landowners was the formation in 1976, by state legislation, of the Coastal Conservancy, which was given the non-regulatory task of preserving coastal areas through landowner compensation. State appropriations began to flow to local agencies after the 1988 passage of Proposition 70. This bond issue generated $776 million for state and local land conservation programs, mainly to acquire and improve parks and wildlife habitat. A small portion of the total, some allocated through the Coastal Conservancy, eventually was used to acquire easements on farmland that had other resource values .

At least four of the successful programs benefited from these actions shortly after their formations. MALT, the Sonoma Land Trust and the Monterey County Agricultural and Historical Land Conservancy, either independently or with their county governments, each received a $1 million grant from the Coastal Conservancy in the mid-1980s. All three land trusts, together with the Peninsula Open Space Trust , a few years later obtained Proposition 70 funds for easement activities. Two land trusts among the 12 leading agricultural programs have prospered from a different type of funding stimulus — local government mitigation of farmland loss, which requires urban development projects to pay for easements on comparable farmland. The Yolo Land Trust received its initial easements as the result of a mitigation ordinance passed by the city of Davis in 1995,the first such municipal action in California. The South Livermore Valley Agricultural Land Trust was formed and acquired many of its easements as the result of litigation,hydroponic bucket in which the city of Livermore successfully challenged a large residential project. Another trust that has concentrated on environmental easements, the Solano County Farmland and Open Space Foundation, also benefits from a mitigation arrangement as a result of litigation involving the city of Fairfield. The Sonoma County Agricultural Preservation and Open Space District is in a different funding category because of its countywide 0.25-cent sales tax, approved by voters in 1990. The district, which relies exclusively on this 20-year revenue source for its operations and purchases, was the only California entity with a dedicated tax for acquiring farmland easements until November 2000, when voters in Davis approved a parcel tax to fund a land conservation program that includes easements.Several of the other leading programs depended largely or primarily on landowner donations of easements, including Napa County Land Trust, Land Trust for Santa Barbara County, California Rangeland Trust and Sonoma Land Trust. All four have broader open space and conservation interests than just farmland protection, and their donated easements have come primarily from owners of large ranches who are generally motivated by the tax benefits or preservation of the environmental qualities of their properties. Beyond their formative years, most of the successful programs have been able to tap a variety of sources to fund easement acquisitions . External sources and landowner donations of easements were most frequently used, particularly grants from state and federal governments and from private foundations. Internal sources, including both private funds and public revenues, were less widely used. California’s strict rules for funding local government programs, especially the restricted property tax and two thirds voter approval requirements for new or increased taxes, severely limit the ability of communities to support easement programs with local taxes.The less tangible elements of program entrepreneurship were also important to the success of the leading programs. Even with early funding opportunities, the leaders of the better-funded programs had to apply skill, focus and persistence, and to work hard over long periods of time, to get their organizations going.

To build a record of acquisitions, they had to look for funds from competitive sources and/or seek landowner donations. Program leaders had to match funding with landowner interests, a process that involved a time sensitive juggling of several interrelated factors: dealing with foundations and state government as funding sources, selecting or seeking out appropriate parcel candidates according to the trust’s priorities, matching available funding with available landowners and negotiating with landowners. Each easement transaction is process unto itself. One land trust manager estimated that the average direct cost of completing a transaction was $15,000 in staff time and other expenses. Another estimated that putting an easement together required several hundred hours in staff time. As much as funding or landowner donations, the critical resources in this process were the personal skill, focus and persistence of program leaders. The successful programs generally have small professional staffs, but they also rely extensively on the work of volunteer boards, which typically include members with expertise in law, resource management, agriculture, finance, land appraisal and other relevant areas. Land trusts with boards composed substantially of farmland owners, such as the Yolo and Merced trusts, are especially equipped to use board members’ local knowledge and personal contacts in persuasive discussions with other farmers and ranchers who own desirable parcels. Explaining this strategy, one land trust manager noted: “The [founders of the trust] knew that they couldn’t be an urban group going out to the farmers and telling them how to change their land. The message had to come from colleagues — other farmers and ranchers in the community.If you want to be effective in agricultural preservation, you need to get along with the people of the land. . . and that includes the Farm Bureau” .Despite recent achievements of the leading programs and general popularity of this non-regulatory technique for preserving farmland, agricultural easement programs have not yet caught on in a substantial way in most of California’s agricultural counties. The limited progress so far may be understandable, considering the still-new status of the technique as a farmland protection tool. In time, with greater familiarity and acceptance in agricultural and other community circles, and fueled by the achievements of the first active programs, there could be a rapid expansion in the number and geographical extent of programs and acres covered . This is not a certain scenario in the near future, however.It takes a high degree of citizen interest or local government support to form a land trust or open space district, qualities not currently present in many agricultural areas. Local and regional organizations run the easement programs, rather than more distant state government and other outside agencies, because successful easement transactions depend on close relations with landowners.

Alameda is the benchmark county for the coefficient estimates in our empirical analysis

This negative coefficient could capture the allocation of a higher value of resources for counties that have experienced low performance during that fiscal year, or cutbacks for a particular county that has performed well. As Foster and Rosenzweig found new technology takes a while to be adopted, and its full impact is observed over time. So, a combination of the two may explain the results we obtained. Therefore, consideration of only the current period expenditures on measuring the impact of UCCE research and outreach expenditures on productivity only tells part of the story. A more complete picture requires understanding how the current stock of research-based knowledge impacts productivity. The current knowledge stock is the sum of old and new knowledge produced through expenditures on R&D and outreach, thereby providing a more complete understanding of the long-term impact of UCCE expenditure on county productivity.22 The trend we observe in the UCCE extension expenditure coefficients as the rate of depreciation grows from 0 to 100 percent presents an increase up to 50 percent depreciation and then a decline. At that range, we observe either insignificant coefficients or negative coefficients.One possible interpretation is that the more frequent the replacement of knowledge the higher the impact of funds spent on knowledge creation and dissemination. This is up to a given point at which the effectiveness of the knowledge stock decreases/drops. When knowledge replacement is 100 percent, meaning every year all knowledge becomes obsolete and needs to be replaced, the UCCE system is not efficient, leading to a negative coefficient of its expenditures stock.Empirical results in Table 2 inform how UCCE impacts average county-level productivity. However, we now want to test how the impact of UCCE expenditure on productivity varies across counties. Heterogeneous impact across counties can result from various reasons. In particular, differences in the resource base in the various counties,microgreen fodder system and the composition of the crops grown, can lead to differences in extension productivity.

From a policy perspective, this analysis is an important contribution to the literature, because it allows evaluating policies that affect certain localities that face different climatic or soil fertility. To achieve this, we have made some modifications to our original model. The main empirical model remains unchanged, but we include interaction terms between dummy variables representing each county and its UCCE expenditures into the old model. Regression coefficients for 23 counties are reported in Table 3 for knowledge depreciation rates ranging from 0 to 20 percent, and it includes only the estimates of the coefficients for the counties that interacted with the UCCE expenditures.The first row in Table 3 reports the impact of UCCE in Alameda County on total value of sales, which is negative for all used knowledge depreciation rates, and is statistically insignificant.Fresno County records the highest positive coefficient of UCCE expenditures stock. It varies from $25 to $191, depending on total value of sales per acre, for knowledge depreciation rates ranging between 0 and 20 percent, respectively. The coefficients for Fresno County are the highest and statistically different from 0 at 1 percent level of significance. San Bernardino County has the next highest impact on total value of sales per acre, which ranges between $10 and $82. Thethird highest statistically significant impact is obtained for Tulare County, which ranges between $10 and $72. The coefficient estimates for Los Angeles and Santa Clara counties indicate no significant impact of UCCE expenditures stock. Kern, Monterey, San Joaquin, Stanislaus, and Ventura counties, which are among the top 10 agricultural counties, have positive and statistically significant impacts reported in columns – of Table 3. Amador, Calaveras, Humboldt-Del Norte, Modoc, and Siskiyou counties have negative statistically significant coefficient estimates for knowledge depreciation rates ranging from 0 to 20 percent.For Imperial County, we observe that for 20 percent knowledge depreciation rate, the value of the coefficient estimate does not remain statistically different from 0. This result implies that adoption of new technologies at these rates may incur high costs and can stop impacting productivity positively. Los Angeles, San Francisco-San Mateo, and Santa Cruz counties do not report high impact on productivity, even though they are among the counties recording some of the highest expenditures made by UCCE.Overall, Fresno, Kern, Monterey, Tulare, and San Bernardino counties record the largest impacts of UCCE expenditure stock.

The first four counties are among the top 10 agricultural producers in the state. All these counties are also among the biggest producers of some of the most high-profile agricultural products in terms of receipts, e.g. grapes, almonds, strawberries, and citrus among fruits and nuts, tomatoes and lettuce among vegetables, and dairy, livestock, and poultry. The results discussed above provide better understanding of UCCE’s impact on individual county-level productivity. More productive counties in general report higher impact of UCCE presence.A pertinent issue with respect to this paper is the substitutability between UCCE expenditure stock and other inputs of production. This is particularly relevant because some counties may face scarcity of one or more of the traditional inputs, and it would be an important contribution if expenditures on UCCE can be a substitute for the said input. For this analysis, we use the inputs that have been found to have a statistically significant positive impact on productivity, such as hired labor, and acres of chemical application. Since number of primary occupation farmers brings down productivity, it is a ‘bad’ input. We have used a linear model in this paper, which makes the calculations simpler, under the assumption of constant marginal productivity. This means that a $1 increase in UCCE extension expenditure stock per acre of farmland will lead to a reduction in hired labor per acre by nearly 0.0003 workers, keeping total value of sales per acre constant. This is a reduction of nearly 1.5 percent, compared to the mean value of this variable . For the next significant input, which is acres of chemicals applied as a share of total farmland acres, we find that MRTS equals −0.00556 . This means that a $1 increase in UCCE expenditure stock per acre of farmland will lead to reduction in the share of chemicals applied per acre by nearly 0.006, keeping total value of sales per acre constant. This again is a reduction of about 1 percent, compared to the mean value of this variable . Similar trends in substitution were reported in Goodhue, Klonsky, and Mohapatra , suggesting that almond grower education programs can have a significant effect on pesticide use decisions.

We observe that substitution effect is low between the aforementioned traditional inputs and UCCE expenditures, thereby hinting at complementarity between each of them and UCCE expenditures. These estimates are a starting point in the discussion on the topic, which has very important policy implications not only for California but also for the entire nation. Using the coefficient estimates, we calculate the rise in total value of sales per acre for our sample, using mean UCCE extension expenditures per acre. That amounts to $41 . Multiplying this $ value by mean farmland acres in our dataset over the analyzed period provides a total increase in value of sales amounting to $22,165,359 , on average, per county. The average per county real UCCE extension expenditure for the 20-year period between 1992 and 2012 amounts to $1,778,146, which implies an average per county profit of nearly $20 million , due to the UCCE extension expenditures on research and development, and outreach. This provides some evidence of the scale of impact UCCE expenditures stock has on average county productivity. The same calculations for individual counties can provide a more in-depth understanding of the effects on them for policy planning.We observe allocated extension expenditures per acre with a mean of 6.21 and a standard deviation of 8.59, suggesting a wide difference across the counties. Decisions on allocation of extension funding at the county level depend on many criteria, including the county’s productivity and long-term planning criteria , and even political considerations and lobbying, as was already suggested in our paper. While we are running contemporaneous regressions , the decision making does not take place contemporaneously. That is, the yearly spending budgets are set prior to whatever economic activity goes on in the county during that year. The budget process happens before the total sales for that year are known. It seems natural to think that the effect runs from spending budget to sales,barley fodder system rather than the other way around. Nevertheless, we have only five years of production and sales data, and it may be reasonable to think that productive counties in a year can be favored with larger budgets the following years. But this is not the case. Scrutiny of Figure 1 suggests, for example, that Fresno, which is one of the most productive counties, had UCCE expenditure of about $3 per acre in 1992 and in 2007. On the other extreme, Alameda, which is one of the least productive counties, had UCCE expenditure of about $7 per acre in 1992 and in 2007. Thus, over time we do not observe overall big changes in UCCE expenditure that are triggered by the productivity of the county, and the case for endogeneity becomes weaker, if not irrelevant.

The large SD of the extension expenditures reinforces the aim of our analysis that explains the variation in sales as a function of the variability of UCCE expenditures. A caveat of this paper is that spillover effects across counties have not been included in the model. The empirical model assumes that there is no spillover, but this effect can be incorporated in future work. This paper estimates a simplified model of agricultural sales as a function of inputs, including UCCE expenditures stock, to provide a county-level impact of UCCE expenditures on R&D and outreach on productivity, which can provide policymakers with a reference point for policy decisions in California. Another caveat is the relatively short period of time , considered in our analysis. Longer time-series data would lead to higher values of benefits from the estimated impact equations.We estimate the impact of the University of California Cooperative Extension on county-level agricultural productivity in California, using a model representing a relationship between value of agricultural sales as a proxy for productivity, and quantitative inputs of production, including UCCE expenditures. Our analysis is aggregated to the county level because UCCE operates from county offices across the state. We obtained data for UCCE budgets for all agricultural research and development , and outreach/dissemination projects for 50 county offices statewide for the years 1992–2012 . Stock of knowledge produced through UCCE extension expenditures on R&D and outreach is modeled as a function of a stream of current and depreciated past expenditures, and used as our independent variable. Data on factors of agricultural production, such as harvested acreage, hired labor, chemical applications, machinery, average farmer age, and number of primary occupation farmers were obtained from the Census of Agriculture conducted by United States Department of Agriculture for five census years, spanning over 1992–2012. Productivity is represented by total value of sales per acre of farmland, using data from the Census of Agriculture. To estimate the impact of UCCE expenditures on agricultural R&D and outreach/dissemination on productivity, we construct a stock of expenditures. We use current and five lagged values of UCCE expenditures, and a range of different depreciation rates from the literature. The intuition is that old knowledge depreciates over time, therefore older expenditures enter the model at a depreciated value. We analyze our model using depreciation rates ranging from 0 to 9 percent, and then 10, 15, and 20 percent following Griliches . Regression results indicate that UCCE’s stock of expenditures has a statistically significant impact on total value of sales per acre, which varies from nearly $1 to $9, for depreciation rates between 0 and 20 percent. For higher rates of depreciation of expenditure, the coefficient becomes statistically insignificant. Results therefore suggest that for more dynamic systems with frequent innovations, UCCE’s efforts have a higher impact on productivity. This effect, however, becomes insignificant with very high levels of depreciation. For a knowledge depreciation rate of 100 percent, we find that the coefficient becomes negative , and this effect is statistically different from 0. This result likely captures the allocation of higher expenditures on counties that have reported lower performance during the year, or cutbacks for a particular county that is performing well.

The farmers who had more than one source of income scored a higher level of adaptive capacity

According to Berry et al., farmers’ health is a critical component of their ability to adapt to climate change; thus, providing improved health care facilities would be a useful support tool for the Dalsinghpara village.Most of the households having a moderate and high adaptive capacity level are found in the Ballalguri village.This village has scored well in most capital assets except for the main road accessibility during the monsoon season.During the rainy season, the village becomes isolated from the rest of the district since all roads get submerged under the water.Moreover, there are no bridges over the rivers in this area, and the river bed is used as a means of transportation.Consequently, during the monsoon months, access to health care units and marketplaces becomes extremely difficult, and sample farmers from the Ballalguri village stated that they need to stockpile dry foods for this period in order to survive.However, the rivers are mainly rainfed and remain dry the rest of the year.Therefore, improving road conditions, especially in this area, should help to reduce the vulnerability.This result is consistent with the empirical findings of Nelson et al.and Choden et al., which stressed the need for investments towards the improvements of the rural roads for enhancing the adaptive capacity of the farmers.Improvement of physical capital would provide households with more opportunities not only for making profits via better farming practices but also for generating incomes from offfarm and non-farm activities.This would help enhance the adaptive capacity of rural households in these areas by diversifying their income sources.The households having a high level of adaptive capacity also attained relatively higher scores in financial capital.

Also, the households having at least one member working outside face lesser financial stress,stacking pots and they are relatively less vulnerable.However, owing to the COVID-19 pandemic and lock downs to prevent the spread of such a deadly infection, many migrants were forced to return to their villages.In 14.77 percent of the surveyed households, the respondents stated that their household members lost work during the pandemic and were unable to find alternative employment owing to a lack of employment opportunities.Apart from these, access to credit is comparatively high amongst the high adaptive capacity households.Although, only 7.38 percent of the households accessed credit during the last five years.Low educational level, distance to the formal financial institutes, and lack of land ownership rights could be constraints for accessing the credit facilities.It was also found that the farmers who owned larger farms had more adaptive capacity.Likewise, Jamshidi et al.reported that larger landholders are less vulnerable due to their higher adaptive capacity.However, our study also pointed out that soil quality and land ownership are more important than the landholding size.In this line, the households with higher adaptive capacity also scored more in the aforementioned natural capital indicators.Adaptation to climate change at the agricultural level entails farmers’ strategies/measures to reduce their crop damage or utilize different beneficial opportunities in response to the current or expected impacts of climate change.However, it is difficult to compile all of these strategies and determine whether or not those are climate induced.Therefore, in this study, firstly, we identified the local-level climatic stressors and finally reported the farm-level adaptation measures that are specifically targeted to minimize the impacts of the identified stressors.In Fig.6, different adaptation measures as opted by the farming households from different levels of adaptive capacity have been reported.A large number of farming households with low adaptive capacity from the village Turturi Khanda left their land as fallow as their land has filled with stones and pebbles from flood, making it uncultivable.Whereas the households whose landholdings are partially infertile cultivate paddy in small land that is not affected by the floods, and some also planted woody trees like Teak and Sal in those flood-affected lands.

These woody trees, according to the respondents, are quite resistant to flooding and pest attacks and also generate additional income for the household.Likewise, Dhungana et al.also reported that several farmers from the Nepal Himalaya planted trees in response to floods.The moderate and higher adaptive capacity households were found growing different crops and trees such as paddy, areca nuts, and woody trees.Meanwhile, only one sample household in the TurturiKhanda village had access to irrigation water by means of channeling the spring water into the field.In the Dalsinghpara village, irrespective of the adaptive capacity, all the households switched from the cultivation of traditional cereals to cash crops.The respondents reported that they perceived an irregular and decreased rainfall which was not sufficient for paddy cultivation.Over the years, low rainfall in the region coupled with decreased yields and pest intensifications have induced farmers to stop cultivating the cereals and moving to less water-intensive cash crops like areca nuts , black pepper , cassava , and pineapple.All these crops are low maintenance and increased households’ income.Similarly, a shift from traditional staple cereals to commercial crops in the Western-Himalayan landscape was reported in Rana et al.and.Some farmers also planted different woody trees to increase their income which requires minimal water and low maintenance.All the horticultural crops and woods are sold to the wholesalers, who collect those directly from the farms or households.The sample households from Dalsinghpara village mainly use watering buckets to water in their fields as there were no improved irrigation facilities.Both the moderate and high adaptive capacity households from the Ballalguri village were found to be engaged in paddy cultivation, and a large proportion of them also diversified their production system by planting areca nuts.Plantation of areca nut as a commercial crop recently became popular in the Sub-Himalayan region of West Bengal.As few households have access to improved irrigation facilities , paddy cultivation is mainly done in the monsoon season only.Also, all the sample households are found to use shorter-duration varieties of paddy as traditional varieties are no longer available in the markets.The farmers also reported that the onset and withdrawal of monsoon have become irregular, and they alter their transplantation of paddy as per the arrival of monsoon for obtaining the benefits of natural rainfall.

Changing the transplanting date as an adaptation measure is widely reported throughout the world.All the sample households who grow paddy also sow a higher quantity of seeds in order to get some extra paddy seedlings.These excess seedlings are re-transplanted if the previously transplanted seedlings are damaged due to heavy rainfalls.Whereas during the time of harvesting, if households face crop failure due to heavy rainfall, they usually dry the wet paddy, and later on, depending on the quality, those are either used for their own consumption or as animal fodder.The farmers also reported that during the non-monsoon period, this area faces a water crisis; however, as the households diversified their production by incorporating areca nuts and by selling these nuts, their vulnerability has significantly reduced.Even those households which are not cultivating areca nuts are planning to invest in it.On the other hand, irrespective of perceiving increased pest attacks, the application of chemical pesticides was limited in all the villages as the farmers believed that chemicals would deteriorate soil fertility.The contribution of greenhouse gasses from agriculture is estimated to be 11−15% of the entire emissions.In which, the release from agricultural soils and rice cultivation report 39% and 9% of the total release, respectively.Nitrous oxide , which accounts for a third of the agricultural sector GHG emissions, has a global warming potential of 265 over a hundred year lifespan.The potential for N2O emissions increases when the availability of N rises because it is claimed that N2O production in agricultural soil arises mostly through the microbial transformation of inorganic N.Until 2030, the Intergovernmental Panel on Climate Change – IPCC evaluates that GHG emissions will increase by 35% to 60%.The increasing GHG emissions from paddy cultivation have become a major concern in recent years.It is reported that, together with the intensive farming policy, the total GHG emissions from the agriculture sector in Vietnam increased significantly from 1994 to 2013.specifically, the emissions were at 52.4, 65.1, 88.3, 89.4 million tons of CO2 equivalent in 1994, 2000, 2010, and 2013, respectively.According to the data reported in the two national GHG emission inventories in 2010 and 2013,sawtooth greenhouse the amount of emitted CO2 from irrigated rice cultivation increased from 41.31 million tons to 42.51 million tons, respectively.In addition, the direct N2O emissions from agricultural soils increased from 12.91 million tons in 2010 to 13.17 million tons in 2013.Therefore, the most important criterion in the socioeconomic development progress of Vietnam and the Mekong Delta is to develop crops that simultaneously ensure food production and reduce GHG emissions.Regarding N2O flux from agricultural soils, a significant source of this effusion comes from the consumption of synthetic N fertilizers in crop cultivating steps.Chai et al.recognized the application of N as the major cause to direct N2O emissions.In paddy cultivation, increasing N use increases 4.56–7.11 g N2O/kg N of the seasonal N2O flux; the GWP also shows a squared reaction to N rate, peaking at 122–130 kg N/ ha.

Moreover, the experiments by Zhang et al.in China helped to calculate the cumulative N2O emissions during the 2011 growing season under different levels of N application.The results were at 23.09, 40.10, and 71.08 mg N2O/m2 at low-150 kg/ha, moderate-210 kg/ha and high-300 kg/ha of N application, respectively.Thus, it is recommended that the cultivators should reduce the high N fertilizer application in order to lessen the GWP while the optimum paddy yield is still maintained.It is claimed that the intensive farming and expanded demand scenario create such an extreme pressure on the rice fields, thereby causing soil degradation and imbalanced paddy ecosystem resulting in increasing environmental GHG emissions.About 90% of the world’s rice is produced by Asian countries , and 90% of the CH4 produced in the world’s paddy fields comes from this region.For this reason, understanding the CH4 and N2O release mechanisms in rice fields is necessary for developing well-organized strategies and changing conventional crop management regimes.Therefore, reducing GHG emissions becomes potential.Zou et al., with their on- field assessment, concluded that the seasonal total N2O is equivalent to 0.02% of the nitrogen applied under continuous flooding of paddy fields.The emission factor of nitrogen for N2O was proposed to be 0.42% from the result of the ordinary least squared regression model.Moreover, Yan et al.also indicated that CH4 emissions are significantly affected by organic fertilizer modification and water regimes in the growing seasons.Regarding the climate smart strategies for paddy cultivation, controlled irrigation or the alternative wetting and drying 1 technique is believed to be effective for mitigating the CO2 equivalents of CH4 and N2O emissions from fields.Multiple drainage , a simplified form of AWD, has also been practiced in the MKD.Uno et al.evaluated the consequence of this technique on yield and GHG emissions in paddy fields in An Giang province, where full dike systems are constructed for fresh water paddy production.The authors concluded that multiple drainage system can at the same time improve the output and reduce CH4 emissions in paddy fields if it is adequately implemented.Specifically, MD fields report a significant increase at 22% in yield compared to traditional flooding fields.Although there is no difference in N2O emissions found, seasonal total CH4 emissions were markedly declined by 35% in MD plots.A study of CH4 measurement by Vo et al.was conducted in paddy farms from different agro-ecological zones of the MKD.Through the emissions collected by using the closed chamber method, the overall emission factor of the entire delta is approximately 1.92 kg CH4/ha/day, which is about 48% higher compared to the globally default value set by the IPCC.However, this study by Vo et al.did not record the difference in farming patterns.Interestingly, the rice-beef-biogas integrated system presented in the study by Ogino et al.is believed to mitigate GHG emissions and energy consumption compared to the specialized rice and beef production system in Vietnam.Hanh et al.evaluated the nitrogen use efficiency of six rice varieties, including Chiem Tay, Te Tep, Re Bac Ninh, IR24, P6DB, and Khang Dan 18 in North Vietnam.P6DB and CT vari-eties, which present the smallest and largest effectiveness of nitrogen use, were chosen for a genetic testing in the next step.The results on nitrogen use efficiency are considered useful for further genetic analyses of sustainable agriculture.

Moisture is crucial for the survival and activity of the microbes in compost

Ten mL of the upper layer was transferred to a 15 mL centrifuge tube containing 500 mg of Primary Secondary Amine and 1.5 g of anhydrous magnesium sulfate.The centrifuge tube was shaken for 30 s followed by centrifugation for one min.at 1500 rpm.Six mL from the upper layer was taken, concentrated to dryness using Turbovap , and the final volume was made up to one mL using n-hexane and analyzed by Gas Chromatograph.For recovery studies, pesticides at two levels organochlorines at 0.01 and 0.05 mg kg−1 and organophosphates at 0.025 and 0.125 mgkg−1 were undertaken.Certified reference materials of pesticides were purchased from Sigma Aldrich and stock solutions were prepared using pesticide grade solvents.Single laboratory method validation was carried out to found the recovery of pesticides.Spiking solutions were prepared from stock solution for measuring percentage recovery.For calibration were undertaken with six levels of serially diluted standard mixture prepared from stock solutions.Based on these working standard solutions, calibration curves were obtained and were used to evaluate the linearity of the gas chromatograph response helps to quantify the pesticide residue of the samples.The data on the moisture and nutrient composition of different types of weeds used in the study are illustrated in Table 2.0.Among the different types of weeds, moisture content varied from 68.8 to 86.7%, with higher value in mikania and lower in macranga.Normally a certain amount of moisture is essential for composting because the main site of microbial activity is in the thin water film on the surface of particles.The chemical nature of all the weeds under study was acidic in reaction with pH values varying between 5.1 and 6.3.

Content of oxidizable OC in general varied from 30.6 to 55.0%, higher values with lantana and lower with mikania.As in the case of oxidizable OC, relatively higher N was also observed in lantana followed by macranga , chromolaena and mikania.C:N ratio was almost similar in all the species,hydroponic nft ranging between 26.0:1.0 and 30.0:1.0.However, the substrate materials with higher N content or with narrow C/N ratio are always desirable in decomposition process, since N is supposed to promote the multiplication and activity of microorganisms, there by shooting up the decomposition at an increasing rate.Among the other major nutrients, P varied between 0.09 and 0.29%and K between 1.8 and 2.2%.Both P and K were higher in chromolaena.The percentage content of important mineral nutrients did not vary widely between the weeds, whereas the C:N ratio of the weeds varied between 26.0 and 30.0, the desired value being 25.0–30.0.The optimal start up conditions helps to promote the decomposition of weeds.The proper balancing of nutrients, content of moisture and aeration were noted as essential factors for effective conversion to humic mass.All the weeds such as chromolaena, lantana, macaranga and mikania used as feed stock in this study meet the required C:N with adequate content of nutrients.Temperature is one of the most important indicators, which rebound in the process of decomposition of organics and changes in microbial activities.The change in temperature occurred in the weed biomass with the elapsed time are illustrated in Fig.1.This figure portrayed that the temperature in the weed stack, applied with various inocula viz; cow dung, urea, microbial consortium and jeevamrutham got elevated and reached to a peak of about 54.0 °C, 63.0 °C, 53.0 °C and 66.0 °C respectively after 10 days of decomposition process while the control pile remained with 48.0 °C.It was also noted that all the piles attained thermophilic temperature shortly after stack establishment.The temperature in the weed biomass applied with urea, microbial consortium and jeevamrutham reached the highest levels on 3rd day and continued to remain at higher levels in the following days.This high temperature was enough for destroying the microbial pathogens, and to assure rapid degradation of weeds.During the formation of humic substance, the heap applied with urea attained the highest temperature at 4th day and the lowest at 50th day of composting.However, the maximum temperature attained in the heap applied with jeevamrutham was on par with urea and microbial consortium, and the same heaps attained a temperature of >70.0 °C on 3rd day itself, which is definitely due to the intense activity of microorganisms.During the initial activation days, the simple organic compounds such as sugars are mineralized by microbial communities and produced CO2, NH3, organic acids and heat.The optimum range of temperature in the decomposition process was 40.0–65.0 °C allowing to kill pathogens above 55.0 °C.During this phase, thermophilic microorganisms deteriorate cellulose and lignin in the substrate materials.

Finally, during the maturation stage, the temperature slowly decreased owing to the reduced microbial activity resulting from a diminishing stock of biodegradable compounds.The hike in temperature during the initial days of the experiment is due to mineralization and transformation of organic matter,whereas in the later stage, the stabilized condition resulted in scaling down the production of heat.The initial boosting of temperature varying between 48.0 °C and 72.0 °C within a short time of stack establishment in this study is due to the intense microbial activities triggered by the application of additives; cow dung, urea, microbial consortium and the farm derived microbial formulation.Normally, temperature varies over time and by the shape of the decomposing stack, and followed a pattern consistent with degradation of organic feed stock by microorganisms.In the last phase of maturation, bacterial numbers decline and fungal population increases in all the treatments as easily decomposed material got exhausted.At this stage recalcitrant materials dominate and temperature decline to the ambient level.Application of additives to decomposing organics is supposed to have significant impact on the period of decomposition.In the present study, the time taken for decomposition of weed biomass without any additives was 120 days.But, the period got reduced to 100, 70, 94 and 75 days with the addition of cow dung, urea, microbial consortium and jeevamrutham respectively.Application of microbial consortium and jeevamrutham could reduce the decomposition period from 120 days to 70–75 days, while the reduction was only up to 100 days with cow dung.The intense activity of vast numbers of microorganisms such as bacteria, fungi and actinomycetes coupled with relatively higher content of N, contributed from cow urine as well as pulse flour might be the probable reason for intense decomposition and subsequent reduction in jeevamrutham applied piles.Results of the study pointed out that microbial formulation namely jeevamrutham was equally effective with laboratory produced microbial consortium in reducing the period for converting weed biomass to humic substance.Moreover, the practice of application of urea during the process of decomposition can be eliminated by the use of microbial inoculum.Quality evaluation of humic mass produced from weeds was carried out with respect to various basic physico-chemical properties, nutrient potential, and presence of toxic contaminants.Those humic substances in general were with acceptable color, i.e., coffee brown.The heat generated during the initial period of experiment is believed to have profound effect on the color of the final product.

The heat generated during the process generally depends up on the type of feed stock and activity of microorganisms.The coffee brown color of humic substances generally indicates high content of OC, which is considered as the key factor for organic farming.The content of moisture in the final humic substances were 20.3%, 20.8%, 22.3%, 22.1% and 23.6% in control, cow dung, urea, microbial consortium and jeevamrutham applied treatments respectively.The higher content of moisture was associated with jeevamrutham applied treatment and lower in weed biomass alone.In the composting technology, moisture content between 40.0–60.0% of raw materials is normally recommended for the success of composting.Biological activity will be slow if the compost heaps start to dry and virtually cease if it dries out.During the maturation stage, lower moisture content is desirable as the compost become lighter, hydroponic channel making it easier to mix and increasing the shelf life.Content of moisture in the compost samples normally varied with the type of the raw material and season of the climate.According to the FAI , 15.0– 25.0% is the desired level of moisture in the finished composts.Moisture content less in the composts may not have been stored for longer period due to the preeminent moisture loss, whereas the excessively dry composts is usually dusty and unpleasant to handle.The bulk density of composts varied from 0.56 to 0.82 g/cm3 dry matter, with highest values with control.Application of various inocula could reduce the bulk density of final compost as observed in the treatments with urea , microbial con-sortium , cow dung and jeevamrutham.According to Indian regulatory rule of organic manure, bulk density is measured on dry weight basis as an indicator of particle size, and also indicates organic matter as well as inert material/ash content.The lower bulk density of the composts is desirable because it helps to increase the water holding capacity of soil when applied continuously for longer period of time.The important chemical characteristics of humic mass such as pH, TOC, oxidizable OC, N, C/N are given in the Fig.6.pH is an important property deciding the quality of this final decomposed product.In the present study the humic mass produced in all the treatments were alkaline in reaction with the values varying between 7.7– 8.3.

The lower pH was reported in weed biomass alone and the higher value in the treatment applied with jeevamrutham.Compared to the substrate materials, pH was high in the finished products of all the treatments.A good quality compost is supposed to have a pH between 6.5 and 7.5.However, considering the acidic nature of the soils of Kerala, the matured decomposed mass with pH more than 6.0 are beneficial for improving the chemical condition of the soil.pH was found to scale down at the end of decomposition, and this decline is mainly due to the volatilization of ammoniacal N and hydrogen ions released through the nitrification activities of nitrifying bacteria as well as the emission of large volumes of CO2.Carbon farming is mainly intended to enrich the soil with carbon, which is mainly dictated by the total organic carbon and dichromate oxidizable OC, and the values in this study varied between 22.8 – 39.4% dm and 19.6 – 33.8% respectively.There has been a strong relationship between oxidizable organic C and TOC valuesin the humic mass produced from weeds.They were with higher content of TOC obviously due to the higher carbon stock in the feed stock.As per the FAI guide lines, the oxidizable organic C in an ideal compost for soil application must be ≥ 16.0%.The decline in oxidizable organic C observed during the process of decomposition is definitely due to the microbial decomposition of organic substrates , as microorganisms consume carbon for energy.A decrease of oxidizable OC was considered as an indicator of maturity and stability of composts.C/N ratio is an important property governing the quality of humic substances produced after decomposition, the ideal value being < 20.0:1.0.The C/N ratios of most of the humic mass produced in this study were below 16.0:1.0, indicating a relatively higher content of N than C, which automatically leads to faster mineralization process, on application to soil.The CFU values of bacteria, fungus actinomycetes were more in the humic mass produced using farm derived jeevamrutham and comparatively very less in control and urea applied treatment.The treatment with microbial consortium ranked second after jeevamrutham.The species isolated were Bacillus sp, Pseudomonas sp, Erwinia sp.etc.Among these, Bacillus sp.are normal inhabitants in soil.Some fungal pathogens were present in all the samples and the major fungal species were aspergillus, rhizopus, mucor etc.The fungi Fusarium oxysporium was isolated from the treatment without any inoculum.These organisms prevent the proliferation of bacterial pathogens by increasing temperature, and thus facilitating the growth of thermophilic microbes.The phenolic and carboxylic acid groups of phyto chemicals present in the humic mass are also supposed to impart resistance against pathogens.The world population is expected to increase to 9.5 billion people in the next 40 years.This calls for an increase of over 60% in food production worldwide at least by 2050 to combat the crisis faced by the continuously increasing population.Unfortunately, natural resources such as: land meant to sustain food production and meet the demands of such an expected population increase are diminishing coupled with the high cost of the limited existing land.

A noteworthy strength of our observational data is that it reflects actual mask use

The management of this crop by flooding requires more water per unit area than in other irrigation systems.In Brazil, the Federal States that produce rice in greater quantities are Rio Grande do Sul, Santa Catarina, and Tocantins, responsible for, respectively, 73%, 8%, and 11% of national production.In general, the rice crop is produced from irrigation by furrows or flooding.Although the levels of exposure of receptors to hazard may differ among the irrigation methods, the similar approach was adopted in the application of the methodology, as both take into account the flooding of the area.It is also worth noting that the SqMRA methodology must be applied in each project, individually, considering that the exposure levels may vary depending on the local characteristics and operational conditions of irrigation, harvesting, and storage.Thus, this generalized approach, adopted in the present study, is configured only for scientific studies, since the action can lead to a high degree of uncertainty.The data adopted for the application of the SqMRA methodology in rice cultivation in Brazil are presented in Table 8, according to the model previously described its stages and steps.Notes: 1 The SqMRA was applied in two scenarios, in which the first considers the effluent to be disinfected , and the second considers the reality of sewage treatment conditions in Brazil.2 Inhalation is attributed to aerosols,hydroponic gutter generally produced in a sprinkler irrigation system.Although intense winds can also produce these types of micro-droplets in flooded systems, inhalation was not scenarioized in the present paper, for simplification purposes.

However, in cases of application of the methodology in places with the possibility of high winds, it should be adopted for farmers and neighborhoods.The barriers adopted, defined as actions after the harvest, relate only to consumers since the farmer harvests the rice in nature.Given the perspectives and the Brazilian reality, in terms of the quality of treated wastewater, the SqRMA was applied in two different scenarios.In the first one, we chose to adopt Hazard equal to 7, due to the prerogative that a disinfected effluent guarantees more safety to the practice.However, the reality about wastewater treatment in Brazil shows that most of the effluent is treated at a secondary level, without disinfection.Thus, the second scenario relies on the application of the methodology, considering Hazard equal to 9.The complete spreadsheet is available as Supplementary Material.This spreadsheet was developed to facilitate the use of the methodology in other applications and regions, but care must be taken, each case is a case and this methodology represents a real portrait of this case.However, it is important to pay attention to the indiscriminate use of the available spreadsheet, since the user must always apply it with great care, considering the real local characteristics of each irrigation water reuse project.The results presented in Table 6 demonstrate the feasibility of applying water reuse for rice cultivation in Brazil, about aspects of epidemiological risk.As expected, and in accordance with previous observations from other authors, there is an estimate of a higher risk of microbiological contamination for the farmer than for other receptors.Despite the high possibility of contact between the farmer and the RW, the estimated global risk is still in the acceptable level.

In the case of the neighborhood, the risk is greatly reduced because the irrigation method is different from sprinkling and presents a lower possibility of producing micro-droplets that could be inhaled, as already mentioned.But still, it is in the acceptable category.For the consumer, low risk was also expected, due to the processing and cooking of the rice before consumption.However, it should be noted that these risk values may vary depending on the specifics of the configuration of each reuse system, since there may be situations that enhance certain types of contact.For this reason, to calculate the global risk, two procedures were adopted: i) considering the three receptors adopted in the study; and ii) considering only the 2 main receptors involved since the possibility of several receptors, with multiple handling criteria, involved after harvest could change the final value of the global risk.Thus, should be emphasized that for the application of the methodology in a real project, all possible receptors, from irrigation to the final consumer, must be taken into account in conjunction with the food safety procedures needs according to respective regulations, when in place.It should also be noted that when considering all workers involved in the production process of rice irrigated with RW, is possible to minimize risks by introducing capacity building and systematic use of equipment and safety habits.The States of Rio Grande do Sul and Santa Catarina, identified in the present study as responsible for 80% of the Brazilian production of rice, are comprised, almost entirely, in the River Basin of Uruguai andAtl^antico Sul and require, in general, approximately 382 m3 /s of water for irrigation.However, the two RBs present a service rate with domestic wastewater treatment at 30%.

Similarly, the RB Tocantins-Araguaia, which involves practically the entire State of Tocantins, has a demand of approximately 60 m3 /s for irrigation but also has a low rate of wastewater treatment.The relationship between the Brazilian states highlighted in the study and the River Basin Districts also highlighted can be seen in the schematic map in Fig.3.The scenario of high demand for water for irrigation and low production of treated effluent shows the difficulty of structuring water reuse, although the water demand for rice crop production in these regions is high and the risk of contamination of human beings is moderate, as demonstrated by the application of methodology.The RW was defined in two categories to assess the potential for reuse in Brazilian RB, as a function of water quality: Category 1 – RW from wastewater treatment plants that have an organic matter removal higher than 80%; and Category 2 – RW from wastewater treatment plants which, in addition to having an organic matter removal of more than 80%, have disinfection.In this sense, considering the three RB , the potential for supply of reclaimed water in Category 1 is 2.53 m3 /s and in Categories 2 , of 1.12 m3 /s.Since Category 2 , equivalent to Hazard equal to 7 , represents the lowest available water potential for reuse, it was decided to repeat the process of applying the SqRMA methodology, considering hazard equal to 9, which represents Category 1.The results for this reiteration can be seen in Table 10.This reiteration in the application of the methodology presents a very relevant result, in which when offering water corresponding to a secondary effluent , even the estimation of risk for the farmer changing from acceptable to unacceptable, the overall risk remains in the acceptable level, although quite close to the limit of the maximum value.Furthermore, the risk for the farmer can be reduced with equivalent barriers, such as rubber gloves and boots, consequently reducing overall risk.In this sense, it can be highlighted that Uruguai, Atlantico Sul, and Tocantins-Araguaia River Basin have a high potential for the application of water reuse in the irrigation of rice crops by furrows or by flooding, with an acceptable risk of microbiological contamination of human beings involved in the practice.

However, it should be noted that the study deals with a generalized scientific approach and, in the case of a real application, all those involved must be carefully evaluated and the scenarios must be exhaustively studied, also considering the use of additional risk minimization means, such as equipment and safety habits among the workers in each sector, to provide more safety for the practice.It is also noteworthy that in Asia, the largest producer of irrigated rice in the world, the crop represents 40–46% of the irrigated area among all other crops.The water reuse in China has become the main objective of WWTP in the new era of wastewater treatment in the country.In this sense, a good way to solve the problem of water scarcity is to increase water productivity, corroborates the results of the present research.In the case of irrigated rice, it is important to determine the economic and energy implications when considering water reuse options to improve water productivity at the system level.The novel coronavirus has killed millions and shut down entire countries.Yet the danger was not always this clear.In late December 2019, China reported over 40 cases of unusual pneumonia to the World Health Organization.By January 25th, Beijing, Shanghai,u planting gutter and many other provinces had declared public health emergencies, and most cities in Hubei went into lockdown.During this time span, it was unclear whether the virus was a rumor, how deadly it was, or how it spread.In three studies, we investigate how people in China reacted to COVID-19 during this early window of uncertainty.We find evidence that people in some regions reacted more proactively to this ambiguous threat.We test two broad categories of predictors: objective risk factors and subjective cultural factors.Analyses reveal that culture—not simply objective risk—explains meaningful differences in how people responded.At the onset of the COVID-19 pandemic, our research team observed whether people wore masks in public spaces.Day 0 of our observations was January 23rd, 2020, the day Wuhan went into lockdown.We observed people at eight sites across seven Chinese cities for two weeks.We ended our observations when mask use was nearly universal.However, a limitation to the data was the number of researchers we could deploy quickly and safely.Thus, to supplement the data, we surveyed people from a broader range of provinces on when they started wearing masks.Finally, we triangulated the findings against web searches for “masks,” which are less direct but provide more data points and a complete geographic coverage.

In reviewing previous studies on mask use, we identified three limitations.First, most studies relied solely on self-reported data.This could be problematic as people may feel pressured to report that they wore masks even if they did not—meaning self-reports may not reflects actual mask use.In this study, we measure both self-reports and observed behavior, which allowed us to test whether the results converge.Second, few studies have tracked mask use over time.One notable exception is a Hong Kong study, which found that mask use increased from 12% to 67% during the first seven days of the SARS outbreak.Studying response change over time is crucial as early action can save lives.For example, analyses estimated that implementing COVID-19 measures seven days earlier in the United States could have drastically reduced cases.Third, the few observational studies of mask use we found were limited in the locations and lengths of time tracked.For example, a study of mask use during H1N1 only observed two subway stations in Mexico City.Our study expands on this approach by covering multiple, diverse regions.This richer dataset allows us to explore a range of cultural factors beyond basic demographics like age and gender.We move beyond prior research on masks by testing for less obvious cultural differences that might influence mask use.One feature of collectivistic cultures is interdependence—a view that people are, or should be, dependent on each other.Such a worldview could increase mask use because, even if people are unafraid of risking their own health, masks could prevent them from transmitting the virus to others.Even before the COVID-19 outbreak, some cultural observers argued that wearing masks in Japan symbolized an obligation to protect others from the wearer.In contrast, some people argue that mask mandates infringe on individual freedoms in individualistic cultures like the US.One important study found that mask use was higher in more collectivistic nations and US states that scored higher on collectivism measures.Another cultural influence on mask use could be norm tightness.All societies have social norms—ideas about what behaviors are proper and not.Yet some societies have tighter norms than others.Recent research suggests that tightness varies within China.Specifically, norms are tighter in more developed provinces, as well as provinces that farmed rice in the past.Tight norms come with costs and benefits.Tight societies generally have stricter rules— which seems to conflict with out-of-the-box thinking and innovation.For example, tighter societies have fewer patents for inventions.However, tight norms can help societies respond to danger.Tighter societies tend to have more social order , which might facilitate strict mask policies.