Agricultural Economics最新文献_第10页

Will the “True” Productivity Series Please Stand Up? Identifying Inconsistencies Across Productivity Series “真正的”生产力系列会站起来吗？识别跨生产力系列的不一致性

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-08-03 DOI: 10.1111/agec.70056

Sergio H. Lence, Alejandro Plastina

引用次数: 0

Information Delivery in Times of Crisis: Evaluating Digitally-Supported Agricultural Extension in Myanmar 危机时期的信息传递：评估缅甸数字支持农业推广

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-08-03 DOI: 10.1111/agec.70058

Joseph Goeb, Mywish K. Maredia, Caitlin L. Herrington, A. Myint Zu

{"title":"Information Delivery in Times of Crisis: Evaluating Digitally-Supported Agricultural Extension in Myanmar","authors":"Joseph Goeb, Mywish K. Maredia, Caitlin L. Herrington, A. Myint Zu","doi":"10.1111/agec.70058","DOIUrl":"https://doi.org/10.1111/agec.70058","url":null,"abstract":"Agricultural extension can have direct and important impacts on vulnerable populations, strengthening both rural livelihoods and urban food security through technology adoption and increased agricultural production. Digitally-supported extension utilizing mobile phones can be a cost-effective method for delivering information to farmers. However, different digitally-supported extension delivery mechanisms may have differential impacts on farmer knowledge and behavior, especially (i) in the face of new and emergent threats to farm production, and (ii) in crises or violent conflict when trust in outside information is low and conventional extension channels are disrupted. We conducted a randomized controlled trial to evaluate two digitally-supported extension designs—direct SMS and a novel hybrid lead-farmer-supported SMS method—in delivering fall armyworm management guidance to maize farmers in Myanmar after a military coup. Both approaches improved farmer knowledge. There is suggestive evidence that the lead-farmer-supported group spent more on pesticides and hired labor compared to the control group and used pesticides more effectively in damage control than the SMS group.","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 6","pages":"1225-1240"},"PeriodicalIF":4.0,"publicationDate":"2025-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/agec.70058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145601006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impacts of Climate Change on Agricultural Chemical Inputs: Evidence from Pesticide Usage in China 气候变化对农业化学品投入的影响：来自中国农药使用的证据

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-08-03 DOI: 10.1111/agec.70057

Fujin Yi, Huilin Liu, Quan Quan

引用次数: 0

Unpacking Side-Selling: Experimental Evidence From Rural Mexico 拆封副业销售：来自墨西哥农村的实验证据

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-07-20 DOI: 10.1111/agec.70051

Stephen Pitts, Chris M. Boyd, Grant X. Storer

引用次数: 0

The Environmental Bias of Trade Policy in the Agri-Food Sector 农业食品部门贸易政策的环境偏见

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-07-10 DOI: 10.1111/agec.70054

Valentina Raimondi, Daniele Curzi, Riccardo Lucarno, Chiara Falco, Alessandro Olper

{"title":"The Environmental Bias of Trade Policy in the Agri-Food Sector","authors":"Valentina Raimondi, Daniele Curzi, Riccardo Lucarno, Chiara Falco, Alessandro Olper","doi":"10.1111/agec.70054","DOIUrl":"https://doi.org/10.1111/agec.70054","url":null,"abstract":"The agri-food sector is a key contributor to greenhouse gas emissions and is also the economic sector most at risk from climate change. The sector is heavily protected by government intervention, particularly through trade policy, which can have significant environmental implications by either promoting or hindering the trade of polluting versus clean goods. In this paper, we study to what extent the pattern of trade policy hinders or promotes GHG emissions embedded in imported agri-food goods, focusing on three main pollutants as follows: carbon dioxide, methane, and nitrous oxide. Our findings reveal a significant environmental bias in agri-food trade policy, with most countries effectively applying a negative carbon tax—that is, an implicit subsidy—for all the pollutants considered. Notably, the structure of the trade policy of the European Union countries implies a substantial implicit carbon subsidy, while more polluting countries, such as China and Brazil, apply smaller carbon subsidies or even a carbon tax. The results have important implications for current mitigation policy.","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 6","pages":"1150-1167"},"PeriodicalIF":4.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/agec.70054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145601128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating the Effect of Attribute Non-Attendance in Different Elicitation Formats: Single Discrete Choice, Rank-Order Discrete Choice, and Best Worst Scaling 不同启发形式下属性不出席的影响研究：单一离散选择、秩序离散选择和最佳最差尺度

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-07-02 DOI: 10.1111/agec.70053

Ahmed Yangui, Faical Akaichi, José Maria Gil

{"title":"Investigating the Effect of Attribute Non-Attendance in Different Elicitation Formats: Single Discrete Choice, Rank-Order Discrete Choice, and Best Worst Scaling","authors":"Ahmed Yangui, Faical Akaichi, José Maria Gil","doi":"10.1111/agec.70053","DOIUrl":"https://doi.org/10.1111/agec.70053","url":null,"abstract":"This paper investigates methodological issues related to attribute non-attendance (ANA) in choice experiments (CEs). First evaluates the variation in the prevalence of ANA across various non-hypothetical choice experiments (NHCEs) elicitation formats compared to hypothetical choice experiments (HCEs). Second, it investigates whether eliciting respondents’ self-reported ANA after each choice set (choice task (CT)) or at the end of the choice task (seria task (ST)yields comparable results. Finally, it examines how incorporating self-reported ANA information affects respondents’ willingness to pay (WTP) and the external predictive powers of the estimated choice models. To answer these research questions, four treatments were conducted: HCE, NHCE, non-hypothetical rank-order discrete choice experiment (NHROCE), and non-hypothetical best worst scaling (NHBWS). The results indicate that accounting for ANA information significantly improves the goodness-of-fit of the estimated choice models, especially when full ranking information (NHROCE and NHBWS) is used. In terms of marginal WTP estimates, the results show that modeling ANA, independently of the elicitation approach of ANA (ST or CT), significantly influences consumers’ WTP values. However, the results suggest that incorporating ANA information does not substantially enhance the predictive power of the estimated choice model.","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 6","pages":"1079-1102"},"PeriodicalIF":4.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/agec.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145601021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk Preferences and Rural Self-Employment Behavior: Theory and Empirical Evidence From China 风险偏好与农村个体经营行为：来自中国的理论与经验证据

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-06-29 DOI: 10.1111/agec.70052

Ruojin Zhang, Gene Lai

引用次数: 0

Unlocking Agricultural Productivity: The Role of Land Rental Markets in Reducing Resource Misallocation 释放农业生产力：土地租赁市场在减少资源错配中的作用

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-06-26 DOI: 10.1111/agec.70049

Ricardo Troncoso Sepúlveda

引用次数: 0

Place-Based Policies, New Agricultural Operating Entities Development, and Structural Transformation in China 中国地方政策、新型农业经营主体发展与结构转型

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-06-24 DOI: 10.1111/agec.70050

Cheng Luo, Yu Du, Yu Xia, Zhen Yan

引用次数: 0

On the Extent That Changing Climate Has Structurally Changed Marginal Crop Yield Distributions and Crop Losses 气候变化对作物边际产量分布和作物损失的结构性影响

IF 4 3区经济学

Agricultural Economics Pub Date : 2025-05-30 DOI: 10.1111/agec.70048

Hanjun Lu, Alan P. Ker

{"title":"On the Extent That Changing Climate Has Structurally Changed Marginal Crop Yield Distributions and Crop Losses","authors":"Hanjun Lu, Alan P. Ker","doi":"10.1111/agec.70048","DOIUrl":"https://doi.org/10.1111/agec.70048","url":null,"abstract":"The Biden Administration significantly raised its Social Cost of Carbon because of revised predictions that increased global crop yield losses under a changing climate. Although previous studies have estimated and predicted the impact of climate on crop yield distributions—highlighting differences in conditional moments or distributions (given climate)—no one has yet explored whether a changing climate has structurally altered marginal crop yield distributions, particularly with regard to tail probabilities, in a statistically significant way. To that end, we apply a new test for the presence of distributional structural change to U.S. county-level crop yields for corn and soybean. We then investigate the extent to which the spatio-temporal variation in the structural change results is explained by the spatio-temporal variation in climate change measures. Interestingly, we find that the climate change measures are jointly statistically significant and explain a notable extent of the variation despite mitigating factors like on-farm adaptation efforts and measurement error. Our results are consistent across different structural change measures, different regions of the marginal yield distribution, various methods to account for technological change in mean yields, and correcting or not for temporal changes in variance. Importantly, our results statistically justify current approaches that consider the effect of climate on the entire distribution rather than those that only consider the trend and variance.","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 6","pages":"1030-1041"},"PeriodicalIF":4.0,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/agec.70048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145601120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0