Volume 47, Issue 3, September 2022

September, 2022

By: Khanal, Aditya R. ; Mishra, Ashok K. ; Lien, Gudbrand
Using primary survey data of onion growers in India, this study tests the relationship between and predictability of risk attitude measures on farmersÕ risk management decisions. We find that farmers with high risk aversion are more likely to adopt farm diversification strategies, good agricultural practices, government-recommended seed varieties, and preventive measures against diseases and pests than farmers with low risk aversion. The likelihood of farmers adopting good agricultural practices decreases with perceived higher risks of low-quality production, a higher risk of losing crops due to weather, and insects and pests.

September, 2022

By: Santeramo, Fabio G.
The Law of One Price is a dated but still puzzling economic concept. Studies have found that violations of the law are frequent and numerous, although scholars have pointed that these failures are likely to be due to a lack of informative datasets. In addition, for storable commodities, the possible interactions of spatial and temporal arbitrage may hide the implications of the law, invalidating the conclusions of the studies. Based on a simplified two-market model of spatiotemporal arbitrage, I review the implications of the Law of One Price and test for them with a rich dataset of weekly prices of storable commodities and information on transaction costs, trade, and storage. I conclude that most statements implied by the Law of One Price are not empirically violated.

September, 2022

By: Calil, Yuri Clements Daglia ; Ribera, Luis A. ; Anderson, David P. ; Koury Filho, William
The Nellore breed is the cornerstone of BrazilÕs successful beef production. However, Nellore seedstock pricing has yet to be understood. We performed a hedonic analysis under a hierarchical model to explore how physical, morphological, genetic, and market factors affect the prices of purebred animals sold at auctions. The findings indicated that visual scores, expected progeny differences, farm reputation, and auction type explain variations in prices. In addition, the morphological index brought higher premiums than the genetic index. The results have implications for farmers, genetic improvement programs, and policymakers as they indicate relevant factors in the seedstock cattle price formation process.

September, 2022

By: Chen, Bowen ; Dennis, Elliott J. ; Featherstone, Allen M.
Many studies have explored the determinants of technical efficiency in crop production, but fewer have examined how weather might change technical efficiency over time. We estimate weather effects on technical efficiency using data from 540 Kansas winter wheat farms from 2007/08 to 2016/17 using a panel stochastic frontier model that controls for farm-specific heterogeneity with farm fixed effects. Results show that precipitation is nonlinearly related to technical efficiency and that extreme temperature is associated with lower technical efficiency. Improving resilience to precipitation shocks is key to sustained efficient wheat production in Kansas.

September, 2022

By: Gardner, Grant ; Sampson, Gabriel S.
We examine capitalization of ethanol plant construction and capacity expansion into surrounding irrigated and non-irrigated farmland values using data on every land transaction in Kansas from 1995 to 2017 in a hedonic price model. We hypothesize that corn prices and thus land values are higher near ethanol plants. We further hypothesize that ethanol market expansion is capitalized into irrigated parcels to a greater extent than into nonirrigated parcels due to differences in water demand and precipitation. We estimate that an irrigated (nonirrigated) parcel within 50 km of an ethanol plant experiences an average price premium of 8.8% (6.3%) relative to more distant parcels.

September, 2022

By: Tian, Zheng ; Schmidt, Claudia ; Goetz, Stephan J.
We use state-level Census Household Pulse Survey data to examine the role of community food services such as food banks and pantries in reducing food insufficiency during the COVID-19 pandemic in the United States. Food insufficiency increased for all income classes during the pandemic, and especially for the lower and middle classes. We adopt a fixed effects filtered estimator to estimate the coefficients on time-invariant regressors in a fixed effects panel model. Estimation results suggest community food services contribute to mitigating food insufficiency, especially for the middle class and in the early months of the pandemic.

September, 2022

By: Devadoss, Stephen ; Ugwuanyi, Blessing ; Ridley. William
While comparative advantage factors expand agricultural trade, trade and domestic policies and gravity factors can either promote or hinder commodity trade. We use a theoretical multicountry trade model to analyze how various factors impact agricultural trade. Following previous literature, we model cross-country productivity differences using a probabilistic distribution. We then empirically implement the theoretical model to quantify the effects of various determinants of agricultural trade. Production-inhibiting policies and tariffs hinder bilateral trade, while domestic institutional quality, support programs, and land endowments expand bilateral trade.

September, 2022

By: Lee, Juhee ; Hendricks, Nathan P.
Understanding the interaction between groundwater salinity and irrigation decision making has important implications for groundwater management. Econometrics models were estimated using observed farmer behavior in response to different groundwater salinity levels in a region of Kansas. Estimation results demonstrate that farmers in the face of groundwater salinity change their irrigation decisions on irrigated acreage (i.e., extensive margin), crop choice (i.e., indirect intensive margin), and water application depth (i.e., direct intensive margin). The empirical results indicate an overall decrease in water use due to higher salinity, primarily through a decrease at the extensive margin.

September, 2022

By: Park, Eunchun ; Harri, Ardian ; Coble, Keith H.
Crop yield densities are often estimated at the county level. However, county-level yield data providers often omit county records due to low participation or other reasons. The data omission can undermine insurance premiumsÕ credibility and thereby lead to restrictions on the provision of area insurance products in specific locations. To address this problem, we propose a novel Bayesian spatial interpolation method to estimate crop yield densities for counties with missing data. Empirical results indicate that our approach is consistently superior to the benchmark approaches. Importantly, our approach offers noticeable estimation accuracy even at a significant level of data omission.