This paper examines the responses of chicken producers to public disclosure of quality information (or categorization) regarding Salmonella in chicken carcasses. Producers exert effort to attain better categorization and shirk when failing to meet the thresholds required for better categorization. Public disclosure reduces this shirking effect. However, some producers shirk even under public disclosure when the threshold for disclosure is too stringent. The results suggest that the most effective quality disclosure policies would either disclose continuous (noncategorical) information or impose fines or other sanctions on producers attaining the poorest quality.
{"title":"Shaming, stringency, and shirking: Evidence from food-safety inspections","authors":"John Bovay","doi":"10.1111/ajae.12480","DOIUrl":"10.1111/ajae.12480","url":null,"abstract":"<p>This paper examines the responses of chicken producers to public disclosure of quality information (or categorization) regarding <i>Salmonella</i> in chicken carcasses. Producers exert effort to attain better categorization and shirk when failing to meet the thresholds required for better categorization. Public disclosure reduces this shirking effect. However, some producers shirk even under public disclosure when the threshold for disclosure is too stringent. The results suggest that the most effective quality disclosure policies would either disclose continuous (noncategorical) information or impose fines or other sanctions on producers attaining the poorest quality.</p>","PeriodicalId":55537,"journal":{"name":"American Journal of Agricultural Economics","volume":"107 1","pages":"152-180"},"PeriodicalIF":4.2,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ajae.12480","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141680789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Choices by farmers—notably what crop to grow, where—are not only influenced by spatially sensitive environmental attributes but also economic factors that respond to changes in government policies. In South Africa, the policy stance toward agriculture swung toward an extended period of support spanning the middle of the 20th century. Subsequently, the agricultural support policies were eliminated in the post-Apartheid period beginning in the 1990s. Using a purpose-built, spatially explicit data set for South African agriculture spanning the period 1918–2015, we show these structural shifts in agricultural policy regimes concord with major shifts in national corn price trends and variability, and the area planted to corn (accounting for half the country's cropped area). More subtly, and much less studied, we reveal that these switching policy regimes also aligned with changes in the location of crop production, with pronounced consequences for crop output and climate risk. At its peak, policy-aligned crop movement in South Africa reduced corn output by between 7.9% and 15.3%, and placed production in areas with reduced and riskier rainfall patterns. Upon removal of the policy distortions, the decline in total corn area continued, and the crop largely reverted to its predistorted, less climate-risky geographical locations. The geographical sensitivities of the agricultural policy–production–climate risk nexus we reveal suggest these locational aspects deserve more concerted analytical and policy design attention, especially in light of the longer run, spatially sensitive production and food security risk implications of the changing climate realities facing agriculture the world over.
{"title":"Agricultural policy and crop location: Long-run output and spatial climate risk consequences","authors":"Jan C. Greyling, Phillip G. Pardey, Senait Senay","doi":"10.1111/ajae.12482","DOIUrl":"https://doi.org/10.1111/ajae.12482","url":null,"abstract":"<p>Choices by farmers—notably what crop to grow, where—are not only influenced by spatially sensitive environmental attributes but also economic factors that respond to changes in government policies. In South Africa, the policy stance toward agriculture swung toward an extended period of support spanning the middle of the 20th century. Subsequently, the agricultural support policies were eliminated in the post-Apartheid period beginning in the 1990s. Using a purpose-built, spatially explicit data set for South African agriculture spanning the period 1918–2015, we show these structural shifts in agricultural policy regimes concord with major shifts in national corn price trends and variability, and the area planted to corn (accounting for half the country's cropped area). More subtly, and much less studied, we reveal that these switching policy regimes also aligned with changes in the location of crop production, with pronounced consequences for crop output and climate risk. At its peak, policy-aligned crop movement in South Africa reduced corn output by between 7.9% and 15.3%, and placed production in areas with reduced and riskier rainfall patterns. Upon removal of the policy distortions, the decline in total corn area continued, and the crop largely reverted to its predistorted, less climate-risky geographical locations. The geographical sensitivities of the agricultural policy–production–climate risk nexus we reveal suggest these locational aspects deserve more concerted analytical and policy design attention, especially in light of the longer run, spatially sensitive production and food security risk implications of the changing climate realities facing agriculture the world over.</p>","PeriodicalId":55537,"journal":{"name":"American Journal of Agricultural Economics","volume":"107 1","pages":"181-207"},"PeriodicalIF":4.2,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In their in situ habitat, renewable resource populations are subject to stochastic growth caused by environmental variability such as fluctuations in upwelling conditions or temperature. In this paper, we examine the effects of this type of uncertainty on the noncooperative harvest decisions made by harvesters exploiting a common-pool renewable resource. To do this, we extend the related literature on dynamic resource extraction games based on Markov strategies to allow for asymmetric extraction costs and general economic, biological, and environmental conditions. We find equilibrium behaviors that can reverse conventional wisdom. For example, in response to increasing risk caused by anticipated higher variability in biological growth, a harvester may choose to enhance conservation efforts, whereas another harvester diminishes his escapement. Increasing risk can lead to conflicts as it may increase a harvester's payoff while causing a loss to another harvester. In response to an increase in the discount rate, we find that strategic interactions can give rise to greater conservation efforts. Overall, this paper highlights the importance of adequately accounting for uncertainty and strategic behaviors in renewable resource management.
{"title":"Effects of increasing risk in common resource exploitation under cost asymmetry","authors":"Bruno Nkuiya","doi":"10.1111/ajae.12483","DOIUrl":"https://doi.org/10.1111/ajae.12483","url":null,"abstract":"<p>In their in situ habitat, renewable resource populations are subject to stochastic growth caused by environmental variability such as fluctuations in upwelling conditions or temperature. In this paper, we examine the effects of this type of uncertainty on the noncooperative harvest decisions made by harvesters exploiting a common-pool renewable resource. To do this, we extend the related literature on dynamic resource extraction games based on Markov strategies to allow for asymmetric extraction costs and general economic, biological, and environmental conditions. We find equilibrium behaviors that can reverse conventional wisdom. For example, in response to increasing risk caused by anticipated higher variability in biological growth, a harvester may choose to enhance conservation efforts, whereas another harvester diminishes his escapement. Increasing risk can lead to conflicts as it may increase a harvester's payoff while causing a loss to another harvester. In response to an increase in the discount rate, we find that strategic interactions can give rise to greater conservation efforts. Overall, this paper highlights the importance of adequately accounting for uncertainty and strategic behaviors in renewable resource management.</p>","PeriodicalId":55537,"journal":{"name":"American Journal of Agricultural Economics","volume":"107 1","pages":"108-124"},"PeriodicalIF":4.2,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ryan Abman, Eric C. Edwards, Danae Hernandez-Cortes
Water diversions for agriculture reduce ecosystem services provided by saline lakes around the world. Exposed lakebed surfaces are major sources of dust emissions that may exacerbate existing environmental inequities. This paper studies the effects of water diversions and their impacts on particulate pollution arising from reduced inflows to the Salton Sea in California via a spatially explicit particle transport model and changing lakebed exposure. We demonstrate that lakebed dust emissions increased ambient