The purpose of this study is to analyze agricultural producers’ willingness to adopt regenerative cover crop practices in their operation and the effects of producer and farm characteristics on willingness to accept (WTA) values. The paper utilizes the double-bounded contingent valuation method to analyze survey responses submitted by producers and non-operating landowners in the Texas and Oklahoma portions of the Southern Great Plains. Results showed an average WTA of $26.38/acre for producers to adopt cover crops and that programs aimed at increasing adoption rates may require more substantial investment compared to those focused on continuity with current adopters.

In Africa, rangeland ecosystems have been exploited due to heavy and unsustainable grazing. Policy and institutional mechanisms such as integrating silvopastoral systems with sustainable grazing practices have been devised to mitigate the negative effects. In this study, we investigated whether the uptake of sustainable grazing management in the form of controlled grazing spurs investment in multipurpose trees (MPTs) and enhances income. Using instrumental variable regression, we find that controlled grazing increases not only the propensity to plant MPTs but also the number of tree species. More importantly, IV and treatment effect results indicate that controlled grazing enhances income from MPTs.

Consumers often struggle to make their choice in the highly diversified wine market. With wine being an experience good, consumers must rely on extrinsic characteristics, e.g., information on the label. Thus, easily available quality signals like consumer ratings have become an increasingly useful and widespread tool. Vivino is one of the largest online wine communities with over 60 million users, which have more than doubled since 2018. Hence, users have easy access to peer ratings, while established wine expert ratings are being challenged. This study analyzes data from Vivino to explore factors affecting consumer ratings at different price points, considering several wine attributes like geographical indications, brand, and the so-called “community effect.” We show that there is a small but significant community effect on wine's perceived quality related to its popularity among users of the Vivino community, as well as effects from specific wine attributes. Moreover, we estimate a hedonic quantile model on similar price ranges to compare the effect of the same regressors on wine prices. Results contribute to a better understanding of how different factors affect consumers’ wine evaluations, allowing to compare their effect on the “pure” consumer preference (i.e., consumer ratings) and market value.

This paper uses a difference-in-differences approach to analyze the treatment effect of a hail weather shock in a specific Swiss wine-growing region. We exploit a natural experiment from Switzerland's Three Lakes wine region in 2013 and examine its impact on the country's retail market. We find statistically significant (1%-level) effects of –22.8% and +2.8% for the volume and price of wine consumed, respectively. These effects can be interpreted as average treatment effects, which is the difference in outcomes between treatment and control groups using a pre-post shock study methodology. Several robustness checks confirm the statistical significance of the estimated effects and the initial assumptions.

A recent contribution to research on age and well-being asserts that the impact of age on happiness is ‘u-shaped’ virtually everywhere. I evaluate that finding for European countries, considering whether it is robust to alternative methodological approaches. The analysis excludes control variables that are affected by age (noting that those variables are not antecedents of age) and explores the relationship via models that do not impose a quadratic functional form. The article shows that these alternative approaches do not produce a u-shape ‘everywhere’: u-shapes are evident for some countries, but for others, the pattern is quite different.

Although the impacts of income, population growth, and other important determinants of land-use change have been widely studied, there is less understanding of how spatial spillovers matter. Utilizing a spatial econometric approach, we investigate the main determinants of natural landscape conversion, focusing on quantifying local and global spatial spillovers. The empirical investigation applies to the Edmonton Metropolitan Region and the Calgary Regional Partnership in Canada. Key results include: (1) determinants of land conversion have significant spillover effects; (2) income, population density, road density, natural land endowment and land suitability for agriculture are all found to have influences on natural land conversion both in the own and neighboring areas; and (3) local (i.e., within the immediate neighboring areas) and global (in the entire study region) spillovers are different in strength and direction. Our work provides useful information for understanding the spillover issues in land conservation, resource governance, and optimal conservation design.

In this article, we examine the joint influence of land access and gender of household head on household food insecurity by employing a logit model and using data from the 2015/2016 Nigerian General Household Survey. Our results show that female-headed households (FHHs) are more food insecure than male-headed households. However, with a 1-acre increase in their access to land, FHHs are 16 percent less likely to be food insecure. This finding provides policy insights into how improving access to arable land for land-poor FHHs can enhance food security in Nigeria.

We study the effects of food safety awareness on consumers’ milk purchasing behavior in Nepal. We conducted consumer survey and employed an instrumental variable regression. We find education, income, and social network to influence food safety consciousness (FSC). Our results indicate the positive impact of FSC on weekly milk expenditure and probability of purchasing milk from milk cooperatives. Any policy that helps to improve the FSC levels will likely increase the purchase of safe milk from the modern market outlet, and lack of such awareness raising policies has prevented the market for safe food from evolving and expanding.

This study evaluates the effects of vegetative soil conservation practices (afforestation and/or bamboo planting) on farm profit and its components, revenue and variable cost. Since farmers self-select themselves as adopters of conservation measures, there could be a problem of selection bias in evaluating their soil conservation practices. We address the selection bias by using propensity score matching. We also check if there exists spatial spillover in adoption of vegetative conservation measures and how it affects matching. We use primary survey data from the Darjeeling district of the Eastern Himalayan region for the year 2013. Our results suggest strong spatial correlation. We find that the propensity score estimated from the spatial model provides better matches than the non-spatial model. While the results show that vegetative soil conservation can lead to significant gains in revenue, it also increases costs so that no significant gains in profit accrue to farmers.

One of the major findings of this paper, which studied the multiplier effects of pensions received at each Portuguese municipality since 2003, is that pensions stimulate the incomes of municipalities. We studied these effects also considering the spillovers from/to the surrounding areas. After discussing several models of spatial analysis, we chose the Dynamic Spatial Durbin Model. Our results were obtained after considering a proper set of control variables.

Using remotely sensed land-cover data in 1994 and 2014, and cross-sectional survey data in 2014, this study examines the association between land use and cover change and agricultural productivity in northern Ghana. We document a significant expansion of crop land and settlements (productive use) at the expense of natural vegetation cover. Land areas converted from natural cover to productive use have higher maize yield (0.17 tons per hectare) and harvest value (1,021 Ghanaian Cedi) compared with those converted from bare soil to productive cover. Moreover, areas that were covered by shrubs or savannah in 1994 were more productive in 2014 relative to bare soils in 1994. Although our data do not allow us to establish causality, the evidence suggests the importance of past land-cover conditions in affecting current agricultural performance, especially in resource-stricken settings where conservation and restoration practices are not as common.

This paper asks whether the level of integration of world countries in the international network of temporary human mobility can explain differences in their per-capita income and labor productivity. We disentangle the role played by global country centrality in the network from traditional openness measures, which only account for local, nearest-neighbor linkages through which ideas and knowledge can flow. Using 1995-2010 data, we show that global country centrality in the international temporary human-mobility network enhances both per-capita income and labor productivity. Our results hold cross-sectionally, as well as in a dynamic-panel estimation, and take into account potential endogeneity issues. Our findings imply that how close a country is to the theoretical technological frontier, depends not only on how much she is open to temporary human mobility, but mostly on whether she is embedded in a web of relationships connecting her with other influential partners in the network. Our exercises also suggest that most of the gain in income and productivity can be attained if country centrality in the network comes mostly from influential partners that lie not too far away from, but neither too close to them in the network.

Technical regulations are increasingly visible in agricultural trade, yet their idiosyncratic nature has limited prior aggregate analysis. This article draws on a unique data source for systematic enumeration of the technical regulations questioned by one exporter among all of its trading partners in mid-1996. Political economy analysis indicates that barriers decrease when the relative contribution of agriculture to an economy increases, when the anticipated future level of protection through other forms of government intervention increases, and when economies are more open. Despite increased scrutiny and discipline by the World Trade Organization, technical barriers remain a significant impediment in world agricultural markets.

South Africa is emerging as a major player in the world agricultural products market. This study investigates aggregate food demand patterns in South Africa using a linear approximate almost ideal demand system (LA/AIDS) modeling framework. Data from a 1993 integrated national household survey are employed in the analysis. Empirical results show that demand for meat and fish, grains, dairy products, fruits, vegetables, and other foods are generally price elastic. The expenditure elasticities imply that meat and fish and grains are luxury products, whereas dairy products, fruits, vegetables, and other foods are necessities in the household diet. The results also indicate that if income of households increases food expenditure on meat and fish and grains would increase, whereas that on dairy products, fruits, vegetables, and other foods would decrease. Race, age, and gender of household head, urbanization, and family size affect food demand in South Africa.

Cross-sectional data sets containing expenditure and quantity information are typically used to calculate quality-adjusted imputed prices. Do sample size and quality adjustment of price statistically alter estimates for own-price elasticities? This paper employs a data set pertaining to three food categories—pork, cheese, and food away from home—with four sample sizes for each food category. Twelve sample sizes were used for both adjusted and unadjusted prices to derive elasticities. No statistical differences were found between own-price elasticities among sample sizes. However, elasticities that were based on adjusted price imputations were significantly different from those that were based on unadjusted prices.

To understand the factors that influence farm direct marketing, a linear regression model is estimated to test the relationships between county-level direct market sales and socioeconomic, agricultural production, and location characteristics for West Virginia. The results show that higher median housing value, increased population density, a younger population, a greater number of direct market farms, more diversity of fruit and vegetable production and closer proximity to Washington, D.C., increase direct market sales. The results have implications for other states with a large proportion of small and part-time farmers, many of whom are located in close proximity to metropolitan areas.

This paper proposes a model of network interactions in the interbank market. Our innovation is to model systemic risk in the interbank network as the propagation of incentives or strategic behavior rather than the propagation of losses after default. Transmission in our model is not based on default. Instead, we explain bank profitability based on competition incentives and the outcome of a strategic game. As competitors' lending decisions change, banks adjust their own decisions as a result: generating a “transmission” of shocks through the system. We provide a unique equilibrium characterization of a static model, and embed this model into a full dynamic model of network formation. We also determine the key bank, which is the bank that is crucial for the stability of the financial network.

A Censored Incomplete Demand System is applied to household expenditures for edible oil in India. The results show that edible peanut oil is still a luxury good in India, whereas expenditure elasticities for other edible oils are relatively low. The food habit, location, education of household heads, and other demographic variables have significant effects on the choice of edible oils.

Business establishment growth in the Appalachian region (2000-2007) was regressed on industry sector composition controlling for demographic, physical, and economic determinants. We test the hypothesis that local response to growth determinants is geographically heterogeneous using Smooth Transition spatial process models. This class of models exhibiting endogenous regime switching behavior provides another tool for exploring the spatially heterogeneous effects of local determinants on economic growth.

This paper reviews three UK-based welfare-to-work programmes featuring time-limited financial incentives to leave out-of-work benefits for employment. The policies considered are (i) the Employment Retention and Advancement demonstration, aimed at lone parents and the long-term unemployed; (ii) In-Work Credit, aimed at lone parents on welfare; (iii) Pathways to Work, aimed at recipients of incapacity benefits. I illustrate the difficulties in extrapolating from specific findings to general policy-relevant conclusions. Finally, I depict the challenge facing evaluators in future and point to the directions in which evaluation will need to develop if it is to contribute more fully to policy-relevant evaluation.