Enhancing resilience through seed system plurality and diversity: challenges and barriers to seed sourcing during (and in spite of) a global pandemic.

The effects of the COVID-19 pandemic have rippled across the United States' (US) agri-food system, illuminating considerable issues. US seed systems, which form the foundation of food production, were particularly marked by panic-buying and heightened safety precautions in seed fulfillment facilities which precipitated a commercial seed sector overwhelmed and unprepared to meet consumer demand for seed, especially for non-commercial growers. In response, prominent scholars have emphasized the need to support both formal (commercial) and informal (farmer- and gardener-managed) seed systems to holistically aid growers across various contexts. However, limited attention to non-commercial seed systems in the US, coupled with a lack of consensus surrounding what exactly a resilient seed system looks like, first warrants an exploration into the strengths and vulnerabilities of existing seed systems. This paper seeks to examine how growers navigated challenges in seed sourcing and how this may reflect the resilience of the seed systems to which they belong. Using a mixed-methods approach which includes data from online surveys (n = 158) and semi-structured interviews (n = 31) with farmers and gardeners in Vermont, findings suggest that growers were able to adapt - albeit through different mechanisms depending on their positionality (commercial or non-commercial) within the agri-food system. However, systemic challenges emerged including a lack of access to diverse, locally adapted, and organic seeds. Insights from this study illuminate the importance of creating linkages between formal and informal seed systems in the US to help growers respond to manifold challenges, as well as promote a robust and sustainable stock of planting material.

Estimating the recreational use value of Tis-Abay Waterfall in the upstream of the Blue Nile River, North-West Ethiopia.

Tis-Abay Waterfall is a famous tourist destination in northern Ethiopia, attracting both domestic and international visitors. Although the site's recreation and tourism potential are enormous, the value of the waterfall remains underestimated; an application of economic valuation methods can provide information to better utilize the resource. This study estimates the recreational value of Tis-Abay Waterfall and analyzes the consumer characteristics associated with recreational demand. Drawing on data from 1044 on-site surveys, the study uses the Individual Travel Cost Method (ITCM) with a Zero-Truncated Poisson (ZTP) regression model. Results of the ZTP regression suggest that visitors' age, monthly income, and interest in alternative recreation sites like Lake Tana and Gondar Fasiledes Royal Castle are variables significantly and positively related with recreational demand for the Tis-Abay Waterfall. However, visitors' recreational demand is negatively associated with respondents' distance from the site, leisure time, and total cost of site access. The appraisal suggests that the Tis-Abay Waterfall has a significant annual recreational value of $9.5 million. But it also shows that the waterfall's value would increase significantly, up to $17.3 million, with hypothetical quality improvements in the waterfall settings. The value attachment suggests that estimating the recreation value for Tis-Abay Waterfall is a central component in the sustainable use and management of the resource. However, the presence of unfavorable trade-offs with the electric power plant and the inadequate infrastructure and services for reaching the site are major concerns that require immediate attention to make better use of Tis-Abay Waterfall's recreational services.

Methods of crop yield measurement on multi-cropped plots: Examples from Tanzania.

Precise agricultural statistics are necessary to track productivity and design sound agricultural policies. Yet, in settings where multi-cropping is prevalent, even crop yield-perhaps the most common productivity metric-can be challenging to measure. In a survey of the literature on crop yield in low-income settings, we find that scholars specify how they estimate the area denominator used to measure yield in under 10% of cases. Using household survey data from Tanzania, we consider four alternative methods of allocating land area on multi-cropped plots, ranging from treatment of the entire plot as the yield denominator to increasingly precise approaches that account for the space taken up by other crops. We then explore the implications of this measurement decision for analyses of yield, focusing on one staple crop that is often grown on its own (rice) and one that is frequently found on mixed plots and in intercropped arrangements (maize). A majority (64%) of cultivated plots contain more than one crop, and average yield estimates vary with different methods of calculating area planted-particularly for maize. Importantly, the choice among area methods influences which of these two crops is found to be more calorie-productive per hectare. This choice also influences the statistically significant correlates of crop yield, such that the benefits of intercropping and including legumes on a maize plot are only evident when using an area measure that accounts for mixed cropping arrangements. We conclude that the literature would benefit from greater clarity regarding how yield is measured across studies.

Relating Seasonal Hunger and Prevention and Coping Strategies: A Panel Analysis of Malawian Farm Households.

Relative to chronic hunger, seasonal hunger in rural and urban areas of Africa is poorly understood. This paper examines the extent and potential correlates of seasonal hunger in Malawi using panel data from 2011-2013. We find that both urban and rural households report seasonal hunger in the pre-harvest months. Certain strategies to smooth consumption, including crop storage and livestock ownership, are associated with fewer months of hunger. In addition, we find that Malawian households that experience seasonal hunger harvest their crops earlier than average - a short-term coping mechanism that can reduce the crop's yield and nutritional value, possibly perpetuating hunger.

Variability in Cross-Domain Risk Perception among Smallholder Farmers in Mali by Gender and Other Demographic and Attitudinal Characteristics.

Previous research has shown that men and women, on average, have different risk attitudes and may therefore see different value propositions in response to new opportunities. We use data from smallholder farm households in Mali to test whether risk perceptions differ by gender and across domains. We model this potential association across six risks (work injury, extreme weather, community relationships, debt, lack of buyers, and conflict) while controlling for demographic and attitudinal characteristics. Factor analysis highlights extreme weather and conflict as eliciting the most distinct patterns of participant response. Regression analysis for Mali as a whole reveals an association between gender and risk perception, with women expressing more concern except in the extreme weather domain; however, the association with gender is largely absent when models control for geographic region. We also find lower risk perception associated with an individualistic and/or fatalistic worldview, a risk-tolerant outlook, and optimism about the future, while education, better health, a social orientation, self-efficacy, and access to information are generally associated with more frequent worry-with some inconsistency. Income, wealth, and time poverty exhibit complex associations with perception of risk. Understanding whether and how men's and women's risk preferences differ, and identifying other dominant predictors such as geographic region and worldview, could help development organizations to shape risk mitigation interventions to increase the likelihood of adoption, and to avoid inadvertently making certain subpopulations worse off by increasing the potential for negative outcomes.

Mobile money and branchless banking regulations affecting cash-in, cash-out networks in low- and middle-income countries.

Background: We examined recent trends in mobile money and branchless banking regulations related to cash-in, cash-out (CICO) networks (physical access points allowing users to exchange physical cash and electronic money) in low- and middle-income countries, and reviewed evidence on the impacts of CICO regulations on markets and financial inclusion.  Methods: Regulation and literature searches began in August 2017 and concluded in June 2018. For the regulatory search we compiled an original database of regulations targeting CICO networks in Bangladesh, India, Indonesia, Kenya, Nigeria, Pakistan, Tanzania, and Uganda. To review evidence of impacts of regulations we conducted additional global searches on Scopus, Google Scholar, and Google using keywords for specific regulatory approaches (e.g., regulation of CICO agents) or hypothesized impacts (e.g., financial inclusion). Results: The resulting database of CICO regulations in the eight focus countries includes 127 regulatory documents, which we coded for four groups of regulations, namely: Business Channel Requirements; Agent Requirements; Regulations on Caps, Fees and Charges; and Customer Identification Requirements. Early CICO regulations focused on agent selection rules, limits on fees, and know-your-customer requirements. More recent waves of regulation have expanded or restricted services CICO agents provide, and also imposed reporting requirements on service providers in an effort to prevent fraud or enhance financial inclusion. Our search for evidence of impacts of CICO regulations resulted in a sample of 90 documents published since 2005, of which only 31 provided evidence on CICO regulation impacts, with most limited in scope-suggesting rigorous policy analysis remains lacking in this quickly expanding sector. Conclusions: Many low- and middle-income countries have introduced regulations that may affect CICO networks, with regulatory approaches differing across geographies and over time. While anecdotal reports of regulatory impacts exist, we found limited evidence of impacts of regulations on CICO networks or on CICO-related financial inclusion.

Husband and Wife Perspectives on Farm Household Decision-making Authority and Evidence on Intra-household Accord in Rural Tanzania.

We use OLS and logistic regression to investigate variation in husband and wife perspectives on the division of authority over agriculture-related decisions within households in rural Tanzania. Using original data from husbands and wives (interviewed separately) in 1,851 Tanzanian households, the analysis examines differences in the wife's authority over 13 household and farming decisions. The study finds that the level of decision-making authority allocated to wives by their husbands, and the authority allocated by wives to themselves, both vary significantly across households. In addition to commonly considered assets such as women's age and education, in rural agricultural households women's health and labor activities also appear to matter for perceptions of authority. We also find husbands and wives interviewed separately frequently disagree with each other over who holds authority over key farming, family, and livelihood decisions. Further, the results of OLS and logistic regression suggest that even after controlling for various individual, household, and regional characteristics, husband and wife claims to decision-making authority continue to vary systematically by decision-suggesting that decision characteristics themselves also matter. The absence of spousal agreement over the allocation of authority (i.e., a lack of "intra-household accord") over different farm and household decisions is problematic for interventions seeking to use survey data to develop and inform strategies for reducing gender inequalities or empowering women in rural agricultural households. Findings provide policy and program insights into when studies interviewing only a single spouse or considering only a single decision may inaccurately characterize intra-household decision-making dynamics.

Now what do people know about global climate change? Survey studies of educated laypeople.

In 1992, a mental-models-based survey in Pittsburgh, Pennsylvania, revealed that educated laypeople often conflated global climate change and stratospheric ozone depletion, and appeared relatively unaware of the role of anthropogenic carbon dioxide emissions in global warming. This study compares those survey results with 2009 data from a sample of similarly well-educated laypeople responding to the same survey instrument. Not surprisingly, following a decade of explosive attention to climate change in politics and in the mainstream media, survey respondents in 2009 showed higher awareness and comprehension of some climate change causes. Most notably, unlike those in 1992, 2009 respondents rarely mentioned ozone depletion as a cause of global warming. They were also far more likely to correctly volunteer energy use as a major cause of climate change; many in 2009 also cited natural processes and historical climatic cycles as key causes. When asked how to address the problem of climate change, while respondents in 1992 were unable to differentiate between general "good environmental practices" and actions specific to addressing climate change, respondents in 2009 have begun to appreciate the differences. Despite this, many individuals in 2009 still had incorrect beliefs about climate change, and still did not appear to fully appreciate key facts such as that global warming is primarily due to increased concentrations of carbon dioxide in the atmosphere, and the single most important source of this carbon dioxide is the combustion of fossil fuels.

U.S. consumer demand for restaurant calorie information: targeting demographic and behavioral segments in labeling initiatives.

PURPOSE: To identify different segments of U.S. consumers based on food choices, exercise patterns, and desire for restaurant calorie labeling. DESIGN: Using a stratified (by region) random sample of the U.S. population, trained interviewers collected data for this cross-sectional study through telephone surveys. SETTING: Center for Rural Studies U.S. national health survey. SUBJECTS: The final sample included 580 responses (22% response rate); data were weighted to be representative of age and gender characteristics of the U.S. population. MEASURES: Self-reported behaviors related to food choices, exercise patterns, desire for calorie information in restaurants, and sample demographics. ANALYSIS: Clusters were identified using Schwartz Bayesian criteria. Impacts of demographic characteristics on cluster membership were analyzed using bivariate tests of association and multinomial logit regression. RESULTS: Cluster analysis revealed three clusters based on respondents' food choices, activity levels, and desire for restaurant labeling. Two clusters, comprising three quarters of the sample, desired calorie labeling in restaurants. The remaining cluster opposed restaurant labeling. Demographic variables significantly predicting cluster membership included region of residence (p < .10), income (p < .05), gender (p < .01), and age (p < .10). CONCLUSIONS: Though limited by a low response and potential self-reporting bias in the phone survey, this study suggests that several groups are likely to benefit from restaurant calorie labeling. Specific demographic clusters could be targeted through labeling initiatives.

Segmentation of overweight Americans and opportunities for social marketing.

BACKGROUND: The food industry uses market segmentation to target products toward specific groups of consumers with similar attitudinal, demographic, or lifestyle characteristics. Our aims were to identify distinguishable segments within the US overweight population to be targeted with messages and media aimed at moving Americans toward more healthy weights. METHODS: Cluster analysis was used to identify segments of consumers based on both food and lifestyle behaviors related to unhealthy weights. Drawing from Social Learning Theory, the Health Belief Model, and existing market segmentation literature, the study identified five distinct, recognizable market segments based on knowledge and behavioral and environmental factors. Implications for social marketing campaigns designed to move Americans toward more healthy weights were explored. RESULTS: The five clusters identified were: Highest Risk (19%); At Risk (22%); Right Behavior/Wrong Results (33%); Getting Best Results (13%); and Doing OK (12%). Ninety-nine percent of those in the Highest Risk cluster were overweight; members watched the most television and exercised the least. Fifty-five percent of those in the At Risk cluster were overweight; members logged the most computer time and almost half rarely or never read food labels. Sixty-six percent of those in the Right Behavior/Wrong Results cluster were overweight; however, 95% of them were familiar with the food pyramid. Members reported eating a low percentage of fast food meals (8%) compared to other groups but a higher percentage of other restaurant meals (15%). Less than six percent of those in the Getting Best Results cluster were overweight; every member read food labels and 75% of members' meals were "made from scratch." Eighteen percent of those in the Doing OK cluster were overweight; members watched the least television and reported eating 78% of their meals "made from scratch." CONCLUSION: This study demonstrated that five distinct market segments can be identified for social marketing efforts aimed at addressing the obesity epidemic. Through the identification of these five segments, social marketing campaigns can utilize selected channels and messages that communicate the most relevant and important information. The results of this study offer insight into how segmentation strategies and social marketing messages may improve public health.

Sex and cultural differences in the acceptance of functional foods: a comparison of American, Canadian, and French college students.

OBJECTIVE: Functional foods (FF)--foods containing nutritional supplements in addition to natural nutrients--have an increasing presence in the marketplace. Expanding on previous research, the authors investigated college students' acceptance of FF. PARTICIPANTS: In September--March 2004, 811 undergraduates in Canada, the United States, and France participated in the study. METHODS: A self-administered questionnaire measured students' general food attitudes and beliefs as well as FF-related knowledge, attitudes, beliefs, and purchase intention. RESULTS: Overall, participants slightly favored FF over traditional foods. However, although most respondents associated FF with positive health benefits, many remained dubious of currently available FF information. In terms of culture and sex, the authors found small but significant divergences in FF knowledge, attitudes, and behaviors. CONCLUSIONS: Stronger labeling and education efforts may increase cross-cultural acceptance of FF by college students.

Knowledge of current dietary guidelines and food choice by college students: better eaters have higher knowledge of dietary guidance.

College students enrolled in university dining plans are exposed daily to a food environment characterized by foods high in energy, fats, and added sugars, and low in nutrient density. Their decisions about what to eat are currently made in an environment where no nutrition labeling is required. To fill the gap in current literature regarding whether or not increased nutrition knowledge of dietary guidance actually translates into positive behavior, this cross-sectional study investigated self-reported eating patterns of 200 college students. An Internet-based survey was used to identify how closely respondents followed the Dietary Guidelines for Americans 2005, and whether their eating patterns were related to their knowledge of dietary guidance. It was observed that, for fruit, dairy, protein, and whole grains, increased knowledge is related to increased likelihood of meeting dietary guidelines. Moreover, when asked about individual food choices, nutrition knowledge was related to making more healthful choices in every case. Ultimately, increased knowledge of dietary guidance appears to be positively related to more healthful eating patterns. This suggests that guidelines such as the Dietary Guidelines for Americans 2005, in conjunction with effective public-awareness campaigns, may be a useful mechanism for promoting change in what foods consumers choose to eat.