{"title":"What explains rice exports? An analysis of major rice-exporting countries","authors":"Poornima Varma","doi":"10.1002/aepp.13482","DOIUrl":"https://doi.org/10.1002/aepp.13482","url":null,"abstract":"<p>This study examines the drivers of rice trade. The analysis uses the standard comparative advantage model, the Heckscher–Ohlin–Vanek (HOV) framework, supplemented with a gravity-type equation. Using the Poisson pseudo-maximum likelihood (PPML) estimation for data from 2002 to 2020, the analysis broadly confirms HOV model predictions. Results indicate that arable land, along with GDP, distance, precipitation and crop season temperature, significantly influences rice trade dynamics. The results showed that the precipitation play a key role in influencing the rice trade rather than the blue water availability. However, agricultural water stress discouraged exports and encouraged imports.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"47 1","pages":"327-353"},"PeriodicalIF":3.3,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404769","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}
{"title":"EU food price inflation amid global market turbulences during the COVID-19 pandemic and the Russia–Ukraine War","authors":"L. Kornher, T. Balezentis, F. G. Santeramo","doi":"10.1002/aepp.13483","DOIUrl":"https://doi.org/10.1002/aepp.13483","url":null,"abstract":"<p>Since the COVID-19 pandemic and the Russia–Ukraine War, global food markets have been in turmoil. Agricultural input and energy prices doubled between 2020 and 2022, with immediate consequences on food accessibility. We examine the drivers of the EU food inflation patterns, and how trade integration shapes these dynamics. We find that food price inflation has been mainly driven by surges in agricultural production costs and, to a lesser extent, by global food price increases. Trade openness has not exacerbated the inflating dynamics during this period. We conclude with reflections on inflationary, production, and trade policies.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"46 4","pages":"1563-1584"},"PeriodicalIF":3.3,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aepp.13483","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666012","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}
Christine Wieck, Bettina Rudloff, Kristina Mensah, Olayinka Kareem, Jose Ma Luis Montesclaros, David Orden, Niels Søndergaard, Wusheng Yu
{"title":"Geostrategic dimensions of recent food policy decisions","authors":"Christine Wieck, Bettina Rudloff, Kristina Mensah, Olayinka Kareem, Jose Ma Luis Montesclaros, David Orden, Niels Søndergaard, Wusheng Yu","doi":"10.1002/aepp.13479","DOIUrl":"https://doi.org/10.1002/aepp.13479","url":null,"abstract":"<p>This article analyzes the geostrategic dimensions in food policy responses to two recent global shocks: the Corona-SARS-CoV-2 pandemic and the Russian war against Ukraine. The analysis adds to the general assessments of economic security by providing a case study of food policy and food security as an element of economic security. Strong national path dependent trajectories in food policies can be observed. However, geostrategic dimensions related to interstate interaction and political considerations in policymaking that go beyond food security are also observed.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"46 4","pages":"1605-1626"},"PeriodicalIF":3.3,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aepp.13479","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665832","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}
{"title":"The impact of agricultural policy evolution on long-run grain market projection","authors":"Suhwan Lee, Adrienne Ohler, Wyatt Thompson","doi":"10.1002/aepp.13474","DOIUrl":"https://doi.org/10.1002/aepp.13474","url":null,"abstract":"<p>Long-run projections are crucial for climate change policies, food security, and agricultural productivity, yet these projections often overlook recently identified patterns in how trade policies and domestic support evolve as countries develop. The grain market projections over 50 or 100 years presented here take these policy patterns into account, as well as the risks of more significant trade policy disruptions. The results demonstrate that different assumptions about economic development can have far-reaching effects on the market context, greenhouse gas emissions, and grain prices.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"46 4","pages":"1585-1604"},"PeriodicalIF":3.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665993","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}
{"title":"The interplay of geopolitics and agricultural commodity prices","authors":"Raghav Goyal, Edouard Mensah, Sandro Steinbach","doi":"10.1002/aepp.13481","DOIUrl":"https://doi.org/10.1002/aepp.13481","url":null,"abstract":"<p>This article uses the time-varying parameter vector autoregressive model to assess the impact of geopolitical risk and shocks on agricultural commodity markets, accounting for demand—exports; supply—input prices; inventory; speculation; and economic fluctuations. The results show that geopolitical risks significantly impact corn and soybean futures prices and market behaviors with context-specific implications in the short to medium term. In addition, heightened geopolitical risk during the Russia–Ukraine war increased oil prices and indirectly elevated agricultural commodity prices. These insights are crucial for agricultural risk management, informing federal policies and forecasting future price trends in an increasingly uncertain global market environment.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"46 4","pages":"1533-1562"},"PeriodicalIF":3.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665762","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}
Andrew Wright, Jeffrey Wright, Dean McCorkle, Jeffrey Hyde
{"title":"Are we measuring impact accurately? Identifying potential sources of bias in the evaluation of extension personnel and programs","authors":"Andrew Wright, Jeffrey Wright, Dean McCorkle, Jeffrey Hyde","doi":"10.1002/aepp.13478","DOIUrl":"https://doi.org/10.1002/aepp.13478","url":null,"abstract":"<p>Agricultural extension programs must demonstrate their value to compete for limited government funding. As extension professionals measure the value of their programs, the risk exists that the information they report will provide a biased or an inaccurate measure of value. We examine the evaluation process for extension programs and extension personnel to identify potential sources of bias or inaccuracies. We find that bias and inaccuracy in program evaluation often stems from a focus on short-term outcomes, rather than long-term impacts, while bias in personnel evaluation can result from information asymmetries that exist between extension personnel and their evaluators.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"47 1","pages":"49-64"},"PeriodicalIF":3.3,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aepp.13478","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404818","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}
{"title":"Combine harvester outsourcing services and seasonal rural non-farm employment in Myanmar","authors":"Ben Belton, Peixun Fang, Thomas Reardon","doi":"10.1002/aepp.13480","DOIUrl":"https://doi.org/10.1002/aepp.13480","url":null,"abstract":"<p>Prior research on mechanization outsource services has not explored seasonal variations in drivers and outcomes of adoption by smallholders. These omissions are important because seasonality of crop cultivation may influence intensity of demand for machines, while seasonality of demand for non-farm labor may influence the availability and cost of agricultural workers and the opportunity costs of on-farm self-employment. We analyze seasonal correlates of combine harvester outsource service use in Myanmar. Surprisingly, adoption is not associated with lower labor costs or higher net margins from paddy cultivation. Rather, using combines releases family labor into more remunerative dry season non-farm employment.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"47 1","pages":"97-124"},"PeriodicalIF":3.3,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aepp.13480","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404710","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}
Alexis H. Villacis, Syed Badruddoza, Ashok K. Mishra
{"title":"A machine learning-based exploration of resilience and food security","authors":"Alexis H. Villacis, Syed Badruddoza, Ashok K. Mishra","doi":"10.1002/aepp.13475","DOIUrl":"10.1002/aepp.13475","url":null,"abstract":"<p>Leveraging advancements in remote data collection and using the Food Insecurity Experience Scale (FIES) as a proxy measure of resilience, we show that machine learning models (such as Gradient Boosting Classifier, eXtreme Gradient Boosting, and Artificial Neural Networks), can predict resilience with relatively high accuracy (up to 81%). Key household-level predictors include access to financial institutions, asset ownership, the adoption of agricultural mechanization as evidenced by the use of tractors, the number of crops cultivated, and ownership of nonfarm enterprises. Our analysis offers insights to researchers and policymakers interested in the development of targeted interventions to bolster household resilience.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"46 4","pages":"1479-1505"},"PeriodicalIF":3.3,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aepp.13475","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142247529","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}
{"title":"Food assistance programs in China: Evolution, challenges and potential for improvement","authors":"Jingjing Wang, Xinyue Ding, Shenggen Fan","doi":"10.1002/aepp.13476","DOIUrl":"https://doi.org/10.1002/aepp.13476","url":null,"abstract":"<p>Food assistance, in its various forms, has played a significant role in tackling food insecurity and improving nutrition in many countries. Through an examination of the historical development and a comparison with other countries, the paper reviews the experiences and lessons of the evolution of Chinese food assistance programs and proposes pathways forward to further strengthen food assistance in China. Future efforts of food assistance should focus more on improving the effectiveness of programs through enhancing governance and public-private partnerships, conducting evidence-based evaluations of existing programs using data-driven methods, adopting innovative technologies and digital tools, and employing a targeted approach to address the issue of double burden of malnutrition.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"47 1","pages":"65-79"},"PeriodicalIF":3.3,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143404819","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}
{"title":"Environmental policy behavioral spillovers: The impact of California's single-use carryout bag ban on the use of unregulated single-use plastics","authors":"Sungeun Yoon, Lisa House, Zhifeng Gao","doi":"10.1002/aepp.13473","DOIUrl":"10.1002/aepp.13473","url":null,"abstract":"<p>This study examines the spillover effect of California's 2016 single-use bag ban (SB 270) on unregulated single-use plastics (SUPs) like cutlery, cups, and plates. We observed an insignificant 4.8% decrease in SUP sales over the entire post-policy period, but a larger 8.1% drop in the second post-year, which was only marginally significant. The findings suggest weak spillover effects from such environmental policies, indicating that direct regulations on certain environmentally harmful products might be more effective if jurisdictions aim to prohibit citizens from excessive use, rather than relying on the positive spillover effect from existing policies.</p>","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"47 1","pages":"372-393"},"PeriodicalIF":3.3,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219235","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}