{"title":"The corporatization of veterinary medicine and its impact on independent practices","authors":"Sandro Steinbach","doi":"10.1002/jaa2.70024","DOIUrl":"https://doi.org/10.1002/jaa2.70024","url":null,"abstract":"<p>This paper examines the corporatization of veterinary medicine and its impact on independent veterinary practices in the United States using a longitudinal data set from 2000 to 2021. Results show independent practices are 1.9% more likely to exit after corporate entry, with employment and revenue dropping 5.7% and 6.9%, respectively. Urban areas experience nearly double the impact of rural ones. Event studies reveal a delayed response, with revenue effects becoming statistically significant 6 years post-entry, reaching 18.7% in urban and 13.3% in rural areas. Co-location benefits have diminished since 2010, highlighting rising market power and adverse competition from corporate practices.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"405-423"},"PeriodicalIF":0.0,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Valuing recreational fishing using creel survey statistics","authors":"Luke Boehm, Richard T. Melstrom, Kevin L. Pope","doi":"10.1002/jaa2.70016","DOIUrl":"https://doi.org/10.1002/jaa2.70016","url":null,"abstract":"<p>Recreation demand analysis has relied on mail and internet surveys to collect information on individual recreators. However, conducting these surveys is costly and time-consuming. Alternative sources that report aggregate visitation may go unused due to a lack of information about trip starting points. We set up and solve a system of equations that predict reservoir visits and the home locations of recreational anglers. Using mode-level effort statistics from Nebraska creel surveys, we separate the effects of travel cost and site attributes between bank and boat anglers, which allows us to measure heterogenous values for public reservoir access.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"378-390"},"PeriodicalIF":0.0,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145013095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How does increasing the minimum wage affect household food insecurity?","authors":"Eugene K. Nuworsu, Bhagyashree Katare","doi":"10.1002/jaa2.70019","DOIUrl":"https://doi.org/10.1002/jaa2.70019","url":null,"abstract":"<p>Research suggests that higher minimum wages can act as an antipoverty tool, potentially resulting in improved welfare outcomes such as reducing food insecurity. This study examines the impact of state minimum wage increases on food insecurity from 2010 to 2019. Using household-level data and quasi-experimental approaches, we find evidence that suggests state minimum wage increases reduce the prevalence of very low food insecurity. Also, we find some limited evidence suggesting that minimum wage increases reduce the severity of food insecurity. Our results on the effects of minimum wage increases on very low food security for low-income households hold across alternative methods.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"391-404"},"PeriodicalIF":0.0,"publicationDate":"2025-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145013242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do consumers value biodegradable plastic packaging?","authors":"Wei Yang, Rodolfo M. Nayga Jr., Di Fang","doi":"10.1002/jaa2.70020","DOIUrl":"https://doi.org/10.1002/jaa2.70020","url":null,"abstract":"<p>Biodegradable plastics are slowly being introduced in the food industry to protect the environment, but consumer willingness to pay a premium remains uncertain. This study uses a choice experiment and latent class logit model to assess consumers' valuation for biodegradable plastic packaging and examines the impact of different information types on the willingness to pay estimates. Findings suggest that consumers are willing to pay a premium ($1.32) for biodegradable packaging over conventional options, with additional information increasing the willingness to pay by over $0.50. These results imply that higher prices may not deter consumers from choosing biodegradable plastic packaging.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"363-377"},"PeriodicalIF":0.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145013167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of the continuity of tillage choices with aggregated and incomplete data: An application of the entropy approach","authors":"Dat Q. Tran, Lyubov A. Kurkalova","doi":"10.1002/jaa2.70022","DOIUrl":"https://doi.org/10.1002/jaa2.70022","url":null,"abstract":"<p>The environmental benefits of conservation tillage (CT) are fully realized when the practice is used continuously. Little is known about farmer's tillage choice dynamics due to the scarcity of panel tillage data. Using publicly available data, we estimate rotational and continuous CT (CCT) probabilities for 1992–2008 for Iowa, U.S. The results show that approximately one million acres of corn and soybeans moved away from CCT to greater tillage intensity practices in 2001–2008 when corn prices increased sharply. Spatially, more acreage in lower soil productivity and more likely classified as highly erodible land were taken out of CCT during 2001–2008.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"350-362"},"PeriodicalIF":0.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Younghyeon Jeon, Hayk Khachatryan, Xuan Wei, Bachir Kassas, Lisa House, Rodolfo M. Nayga Jr.
{"title":"Nudging local: Do information treatments work?","authors":"Younghyeon Jeon, Hayk Khachatryan, Xuan Wei, Bachir Kassas, Lisa House, Rodolfo M. Nayga Jr.","doi":"10.1002/jaa2.70017","DOIUrl":"https://doi.org/10.1002/jaa2.70017","url":null,"abstract":"<p>This study examines how information nudges shape consumer preferences for locally grown foods. Using an online discrete choice experiment with blueberries, we assess the effectiveness of tailored information emphasizing local economy support, quality, and environmental benefits in increasing consumer valuation of state-branded products. Results indicate that consumers respond positively to all information treatments, with quality—particularly freshness—having the strongest effect. State ethnocentrism plays a key role, as consumers with higher state ethnocentrism exhibit greater willingness to pay for the state-branded logo across all treatments. These findings provide insights for improving local food marketing strategies and strengthening state-level marketing programs.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"333-349"},"PeriodicalIF":0.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measuring the estimation bias of yield response to N using combined on-farm experiment data","authors":"Qianqian Du, Taro Mieno, David S. Bullock","doi":"10.1002/jaa2.70015","DOIUrl":"https://doi.org/10.1002/jaa2.70015","url":null,"abstract":"<p>Accurately evaluating yield response to nitrogen is essential for increasing farm profitability. Data often come from randomized experiments, ensuring nitrogen is independent of other factors. However, when data from multiple experiments are combined, as many studies do, correlations between nitrogen and unobserved field heterogeneity can arise, potentially leading to biased results if the endogeneity problem is not addressed in regression analysis. This study examines the bias caused by this endogeneity using data from 41 large-scale on-farm precision experiments. We find that this bias can be both statistically and economically significant.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"321-332"},"PeriodicalIF":0.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jaime R. Luke, Ted C. Schroeder, Glynn T. Tonsor, LaPorchia A. Collins, Danielle J. Ufer
{"title":"What's the price of meat? Sources of variation in retail meat price data and impacts on market performance analysis","authors":"Jaime R. Luke, Ted C. Schroeder, Glynn T. Tonsor, LaPorchia A. Collins, Danielle J. Ufer","doi":"10.1002/jaa2.70021","DOIUrl":"https://doi.org/10.1002/jaa2.70021","url":null,"abstract":"<p>Retail meat price data, an essential element of market analysis, can differ substantially across data sources. Volume-weighted retail meat prices calculated using scanner data are lower than Bureau of Labor Statistics (BLS) prices. Generally, the difference between BLS prices and scanner-based prices increases as the volume sold increases and as the concentration of retail sales decreases. We explore the impacts of alternative data sources on meat price spreads and the farmers' share of the retail meat dollar. When estimated using scanner-based versus BLS prices, farmers receive, on average, 9.0 and 3.1 percentage points more of retail beef and pork dollars, respectively.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"304-320"},"PeriodicalIF":0.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factors affecting U.S. sorghum and cotton exports: A dynamic ARDL simulation approach","authors":"Tanmoy Kumar Ghose, Darren Hudson","doi":"10.1002/jaa2.70018","DOIUrl":"https://doi.org/10.1002/jaa2.70018","url":null,"abstract":"<p>The U.S. faces increasing competition from Argentina and Brazil for sorghum and cotton exports. Using a dynamic Auto Regressive Distributed Lag model, this study shows that U.S. sorghum and cotton exports are positively affected by area harvested, yield, and export price. The positive causal relationship between yield, export price, and exports are further confirmed by the Kernel Based Least Square results. Therefore, the U.S. must prioritize developing locally adapted high-yielding varieties while maintaining quality to increase competitiveness. Reducing overreliance on a few markets, the U.S. needs to diversify its export markets to strengthen its resilience against external shocks and trade barriers.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"285-303"},"PeriodicalIF":0.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reporting willingness to pay estimates from random parameters models","authors":"Matthew G. Interis, Alba J. Collart","doi":"10.1002/jaa2.70023","DOIUrl":"https://doi.org/10.1002/jaa2.70023","url":null,"abstract":"<p>Value estimates such as willingness to pay and their confidence intervals are commonly calculated from estimated random-parameters logit models. That parameters in these models have a distribution within the population as well as a sampling distribution poses a challenge for how to best help an audience understand variation in willingness to pay. We detail this issue, discuss the ways in which willingness to pay and related distributional information have been conveyed in the literature, and review and propose several ways to meaningfully but relatively succinctly convey both sources of variation to audiences.</p>","PeriodicalId":93789,"journal":{"name":"Journal of the Agricultural and Applied Economics Association","volume":"4 3","pages":"274-284"},"PeriodicalIF":0.0,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jaa2.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}