Agricultural Economics最新文献

Improved agricultural inputs—including seeds, fertilizer, and pest control products—are necessary for raising farm productivity in Africa. Yet, in many locations, variable input quality and a proliferation of unregistered brands make product selection and calibration of optimal dosages difficult for farmers. Unregistered pesticides pose two specific quality problems: frequent underdosage and, in some cases, inclusion of banned substances. In response to widespread farmer complaints, this study estimates the prevalence of unregistered pesticide products by conducting a detailed survey of agricultural input retailers in 10 major agricultural markets across Mali. The article explores resulting risks and responses by private and public sector stakeholders through structured interviews with key informants in those same markets. The findings suggest widespread sales of low-cost, unregistered pesticides. In the 10 markets surveyed, unregistered products accounted for 26% of total pesticide volumes sold, posing risks to farmers, traders, and the environment. In response, farmer support groups and pesticide trade associations have begun to fight back through education and awareness campaigns, agro-input dealer training, farmer outreach, and in some cases, joint bulk procurement. To reinforce these initiatives, the survey results suggest two low-cost indicators for spatially targeting regulatory enforcement efforts.

Food systems have significant externalities that are not reflected in market prices. A first step to correct parts of these externalities is to make them transparent through “true-” or full-cost accounting. Estimates of the external health and environmental costs of food systems at a global level suggest that they may be about two times larger than food valued at market prices, that is, about 20 trillion US$ of externalities versus 9 trillion US$ of food value in the markets. The agricultural economics profession is challenged to move the true cost research agenda forward by identifying realistic pathways for internalizing some of the large food system externalities. Moving from true cost accounting (TCA) to policy action needs to involve citizens and policy-making bodies because internalizing externalities requires buy-in. This relates for instance, to policy instruments such as product labeling, nudging, and differential taxes and subsidies to incentivize healthy diets and disincentivize food waste. Agricultural economics will need to accompany the implementation of any true cost approaches with scrutiny in terms of the efficiency, welfare, ecological, and distributional effects of such policies.

Occupational sex segregation is a key driver of the gender gap in earnings. Using data from 11,691 aspiring agribusiness entrepreneurs in Nigeria, this article explores factors that drive sectoral choice, gender differences in the choice decision, and especially the role played by norms around gender roles. When given a choice of 11 agricultural value chains in a government program, we find the majority (54 percent) of the applicants chose to enter into the poultry value chain, and women were more likely to choose poultry than men. This article finds evidence of more restrictive gender norms in Northern Nigeria states, which lowers women's likelihood of entering into agricultural value chains where the potential for profit may be higher. The gender bias in sectoral choice is also attributed to differences in work experience especially in agricultural activities and in the chosen value chain, as well as in land ownership. Women with more experience in male-dominated agricultural value chains exhibit lower self-efficacy, which could reflect the challenges they face when deviating from social norms to operate within nontraditional value chains.

Using panel data on a statistically representative sample of Iowa farmland parcels from 1997 to 2017, we analyze the factors determining whether land is farmed by the owner or rented out under a cash rent or crop share contract. The landowner's decision to rent or operate the land depends on the distribution of expected net returns to the land, and so estimates of the factors affecting rental terms will be biased if the sample only includes rental contracts and excludes the owner-operator. Land with higher mean and/or lower variance of expected net returns is most likely to be rented out. Participants in the rental market will include the most risk-averse landowners and the least risk-averse tenants, while the least risk-averse landowners operate their own land. Our empirical results suggest that the rising use of cash rent contracts and declining incidence of owner-operation and crop-share rental contracts is consistent with falling coefficient of variation in expected net returns per acre.

Modern cooling technologies that utilize renewable energy sources have been increasingly recognized as promising tools to address various challenges emerging in progressively complex agrifood systems in developing countries. Knowledge gaps about the actual impacts of these technologies in developing countries remain, especially in Africa south of the Sahara (SSA). This study fills this knowledge gap by providing evidence from the evaluation of recent interventions in northeast Nigeria in which seven small solar-powered cold storages were installed across seven horticulture markets. Combinations of difference-in-difference (DID) and variants of propensity-score-based methods suggest that cold storage significantly increased horticulture sales volumes and revenues of market agents. Back-of-the-envelope calculations indicate that increased net revenues for market agents may be sufficiently large to recoup cold storage investments and operating costs within a reasonable time frame. Using cold storage also reduced the share of food loss. It lengthened the products' shelf-life while raising prices received by market agents and farmers, which were associated with improved product quality, expanded value-adding activities by market agents, and increased use of advance payments.

Dealing with weather extremes is a major challenge for farmers and often comes at high costs for public budgets. Therefore, we investigate the influence of specific simplified decision rules, so-called heuristics, on farmers’ willingness to pay (WTP) for protecting themselves against low-probability and high-consequence weather shocks. To this end, we conducted a framed field experiment with 237 farmers in Germany, using incentivized lottery-based multiple price lists. We explored the effects of different heuristics within the prospect theory framework. Our results indicate that, on average, farmers exhibit risk-loving behavior towards monetary losses, leading to a low WTP for risk mitigation. The results also suggest that the imitation heuristic, shock experience heuristics, and the threshold of concern heuristic influence farmers’ WTP. Farmers specifically imitate successful farmers when these are risk-loving. The lack of personal experience with low-probability events induces farmers to assign less weight to low-probability shocks, which lowers their WTP. Farmers also systematically assign less weight to low-probability shocks that they consider “too rare to be concerned about.” Accounting for the use of these heuristics can help design improved risk management instruments and policies.

We investigate the spillover effects in farmers’ adoption decisions of a novel pesticide-free wheat production system. To this end, we exploit the variability and asymmetry in the social ties among neighboring farmers. We find evidence of spillover effects in farmers’ adoption decisions as well as in farm and farmer characteristics. Our results further highlight the importance of accounting for potentially heterogeneous social ties in farmer networks beyond pure measures of spatial proximity: spillover effects are only robust once we account for the strength of social ties through farmers’ stated tendency to consult peers on agricultural decisions. Our findings highlight the relevance of peer influence in the diffusion of sustainable agriculture practices even in contexts of well-functioned institutions and high interest in environmental protection such as European agriculture. We discuss implications for the design of policies and programs for sustainable agriculture, which are currently in the center of attention in agricultural policymaking.

Many researchers, policy makers, and food activists view Short Food Supply Chains (SFSC) as attractive levers for improving farm income and the sustainability of farming systems. However, the empirical evidence documenting the association between SFSC participation and farm economic performance has been mixed. In this study, through a meta-analysis using a logistic regression, we identify key factors to explain differences between studies that find better economic performance in SFSC and those that do not. Our meta-analysis consists of 48 studies published in English and French from 2000 to 2022 that examine the economic performance of farms engaged in SFSC. Based on far more empirical evidence than previous reviews, we find that the relationship between SFSC participation and farmer income remains ambiguous. More specifically the findings indicate that the reported effect of SFSC on a farm economic performance varies depending on location and the indicator used to capture the economic performance of farms. Studies conducted in Europe are more likely to report higher farmer income as are studies that use profit satisfaction metrics rather than measures of gross or net income. We also emphasize the need to interpret the reported results cautiously because few are based on causal inference methods. Furthermore, the very few studies that account for selection bias often do so with inadequate corrections.

This study investigates consumer preferences for newly introduced gene-edited (GE) food. We focus on how risk and ambiguity aversion affect consumers’ willingness to pay (WTP) to avoid genetically modified (GM) food or GE food and whether the impacts of risk and ambiguity aversion differ between GM and GE food. We collected the data in 2020 through a nationwide online survey in China. The multiple price list method is used to estimate the premiums that consumers are willing to pay for conventional rice to avoid GM/GE rice. Our results show that Chinese urban consumers are more concerned about the health, environmental, and ethical impacts of genetic modification than gene editing technology. They are willing to pay lower premiums when the alternative is GE rice than when it is GM rice. We further find that both risk aversion and ambiguity aversion have significant negative impacts on respondents’ WTP for food derived from gene technologies, with ambiguity aversion being more influential than risk aversion for both GM and GE rice. However, there is no significant difference in how risk aversion and ambiguity aversion affect the respondents’ WTP to avoid GM or GE rice.

This study estimates the distributional heterogeneity in the effects of climate change on yields of three major cereal crops: rice, maize, and wheat in India using district-level information for the period 1966–2015. We distinguish between the effects of changes in growing season weather from those due to changes in long-term climate trends and the heterogeneity in these effects across the distribution of crop yields by estimating naïve and climate penalty inclusive models using fixed-effect quantile panel models. We observe an absence of adaptation against rising temperatures for rice and wheat. However, we find a statistically significant presence of adaptation for wheat and maize for changes in precipitation, though the magnitude is small. Moreover, we find that the effects are asymmetric, and are larger at the lower tail of productivity distribution and smaller at the upper tail of the distribution. A 1°C increase in temperature lowers rice and wheat productivity by 23% and 9%, respectively at the first quantile, but the damage is only 6% and 5% at the ninth quantile. Heterogeneity in impacts and adaptation estimates over the yield distribution curve and across crops suggests the importance of customizing strategies for adaptation to changing weather and climate conditions across regions, crops, and current productivity levels.