Journal of the Agricultural and Applied Economics Association最新文献

We utilize over 190,000 historical farm-level dryland row-crop yield observations (corn, sorghum, soybeans, and winter wheat) spanning over 7000 Kansas farms from 1973 to 2018 coupled with agroclimatic variables to assess the performance of a broad range of weather- and area-based insurance products. Results showed substantial levels of basis risk across agroclimatic-based indices, limited ability to reduce income variability under fair pricing, and underperformance relative to area-based yield products. Growth-stage specific heat indices for corn and soybeans may offer an effective risk management tool. Implications in the context of current agricultural policy initiatives and climate change adaptation are discussed.

This study investigates the link between risk preferences of agricultural students and their willingness to become a farmer. We conducted an incentivized experiment with 577 students of an agricultural university in Indonesia. Discriminating between alternative theories of decision-making under risk, we find that students' risk preferences behave in accordance with cumulative prospect theory, but risk preferences are not predictive of students' willingness to become a farmer. Framing the experimental lottery task in either an agricultural or a general entrepreneurship context does not alter the predictive power for the willingness to become a farmer. Our results contribute to the debates on risk and farm generational renewal, as well as the (lack of) parallelism in behavioral field experiments.

The COVID-19 pandemic profoundly affected food security by disrupting supply chains through border closures Our study concentrates on South Asia and examines the interplay between COVID-19, agri-food trade, and inflation using monthly panel data spanning 2018–2021. Our findings demonstrate that the pandemic notably escalated food inflation in the region. Nevertheless, the robust interaction of agri-food trade with COVID-19 helped alleviate this effect. This underscores the significance of trade policies in controlling food inflation during the pandemic in South Asia.

In this study, a hedonic pricing model with a stochastic frontier is applied to a sample of 183,717 observations of product sales of sausages in Germany to determine the valuation of attributes in the market. The average price of sausages is 1.14€/100 g, with meat substitutes valued at 1.53€/100 g and meat sausages at 1.01€/100 g. Our results show that credence attributes can induce a price premium, but that the effect strongly depends on the type of attribute. This may be important for deriving marketing strategies, as uniform measures may not be effective for both markets.

This study empirically estimates the effects of climate on land-use change across the conterminous United States and uses the empirical model to simulate the effects of a range of future climate change scenarios on the allocation of land to forestry, agriculture, and development. Ricardian estimation linking climate with the net returns to land production is integrated with a discrete-choice estimation of plot-level land-use change. Comparing projected land-use changes across scenarios, we find that drier and warmer climate scenarios favor forest land, wetter and cooler climate scenarios favor developed land, and wetter and warmer climate scenarios favor crop lands.

The United States Department of Agriculture's (USDA) agricultural baseline projections are important in shaping US agricultural policy. We investigate the degree to which previous findings of bias and inefficiency of USDA baseline projections of farm income and its components are driven by underlying macroeconomic assumptions. Once we control for the deviation of underlying macroeconomic assumptions from their observed path, we find that USDA projections of net cash income and its components are optimal for 73.3% of the projection horizons and the length of informative horizons improves. These findings may help USDA projection users, adjust their expectations when making plans and decisions.

Beginning and female farmers are crucial for the succession of the next generation of farming. Despite policy interventions to provide access to credit, land, and capital, little is known about whether the end-market consumers support the business ventures of beginning farmers and their products. Using an incentivized online experiment, this study assesses consumers' willingness to support beginning and female farmers in direct monetary donations, real effort volunteerism support, and willingness-to-pay for products. The results show that consumers, in general, do not differentiate their support for beginning farmers relative to generic farmers except in the case of voluntary effort exertion.

Cooperative management of shared groundwater resources in the High Plains region of the United States is critical to support sustainable agricultural-based economies. This research uses a repeat-sample survey of agricultural producers in the states of Colorado and Nebraska to analyze how seasonal changes and variation in stress and salience influence support for groundwater management. We find that support for groundwater management tends to be lower in the fall, when agricultural producers are engaged in harvest activities. The results also reveal that changes in the salience of commodity prices and water availability can drive changes in support for groundwater management.

International trade continues to drive biological invasions. We investigate the drivers of global nonnative ant establishments over the last two centuries using a Cox proportional hazards model. We use country-level discovery records for 36 of the most widespread nonnative ant species worldwide from 1827 to 2012. We find that climatic similarity combined with cumulative imports during the 20 years before a species discovery in any given year is an important predictor of establishment. Accounting for invasions from both the native and previously invaded “bridgehead” regions substantially improves the model's fit, highlighting the role of spatial spillovers. These results are valuable for targeting biosecurity efforts.

This study focuses on clustering irrigation and nutrient best management practices (BMPs) that help to improve water quality and quantity using a multiple indicator multiple causation model. Data from a survey of Florida growers' irrigation and nutrient practices are used to identify bundles that growers adopt using a cluster analysis. Identified bundles are regressed on grower and farm characteristics. Growers with a college degree or more, income greater than $100,000, greater farm experience, larger operations, organic production, and who produce multiple crops are more likely to adopt the specified practice bundles. Our results can help increase participation in BMPs adoption programs.