Journal of the Agricultural and Applied Economics Association最新文献

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.

Planting fungus-resistant grapevines is an effective way to reduce pesticide use in grapevine production, but their uptake remains low. We explore whether providing personalized or general information on growers' use of environmentally toxic fungicides changes their planting intentions of fungus-resistant varieties (i.e., salience nudging), conducting a randomized experiment with 436 grapevine growers in Switzerland. We find no effect of providing personalized or general information on the intended plantation share of fungus-resistant varieties. However, exploratory analyses suggest that growers' perceptions about fungus-resistant varieties may cause the null result, with growers having noncompliant environmental perceptions being particularly prone to boomerang effects.

This study investigates the economic effects of foot-and-mouth disease (FMD) by employing a regional, dynamic computable general equilibrium model in tandem with results from an epidemiological model to simulate an FMD outbreak in Brazil. Outbreaks located in Paraná and Mato Grosso negatively impact other states in Brazil, demonstrating a spillover effect of economic losses beyond the region directly affected by the disease. Results highlight the distributive effects of FMD outbreaks with most of the negative impacts falling predominantly on lower income workers and households. This study shows the importance of animal disease surveillance and control and provides estimates of the potential economywide effects of an FMD outbreak in Brazil.