Applied Economic Perspectives and Policy最新文献_第3页

Have agricultural and applied economists lost sight of the land-grant mission? A textual analysis of Presidential Addresses and Invited Papers from 1919–2022 农业和应用经济学家是否忘记了赠地学院的使命？对 1919-2022 年总统演讲和特邀论文的文本分析

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-06-03 DOI: 10.1002/aepp.13456

Norbert L. W. Wilson, Natalie Hochhaus

引用次数: 0

Leveraging unsupervised machine learning to examine women's vulnerability to climate change 利用无监督机器学习研究妇女面对气候变化的脆弱性

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-06-01 DOI: 10.1002/aepp.13444

German Caruso, Valerie Mueller, Alexis Villacis

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Using machine-learning methods in meta-analyses: An empirical application on consumer acceptance of meat alternatives 在荟萃分析中使用机器学习方法：消费者对肉类替代品接受度的经验应用

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-05-27 DOI: 10.1002/aepp.13446

Jiayu Sun, Vincenzina Caputo, Hannah Taylor

{"title":"Using machine-learning methods in meta-analyses: An empirical application on consumer acceptance of meat alternatives","authors":"Jiayu Sun, Vincenzina Caputo, Hannah Taylor","doi":"10.1002/aepp.13446","DOIUrl":"10.1002/aepp.13446","url":null,"abstract":"Meta-analyses are widely used in various academic fields, including applied economics. However, the high labor intensity involved in paper searching and small sample sizes remain two dominant limiting factors. We conducted a meta-analysis of studies on consumer preferences for plant-based and lab-grown meat alternatives using machine-learning techniques at both the data collection and the data analysis phases. We demonstrated that machine learning reduces the workload in the manual title-abstract screen phase by 69% accounting for 24% of total workload in data collection. We also found that machine learning improves out-of-sample of sample prediction accuracy by 48–78 percentage points when compared to econometric model. Notably, we showed that integrating machine learning can also improve the predictive performance of econometric methods, thereby improving their out-of-sample predictions. Our empirical findings further revealed that demand for meat alternatives is higher among younger consumers, especially when the products displayed benefit information.","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"46 4","pages":"1506-1532"},"PeriodicalIF":3.3,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aepp.13446","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141196744","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}

引用次数: 0

Agricultural land use modeling and climate change adaptation: A reinforcement learning approach 农业土地利用建模与气候变化适应：强化学习方法

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-05-27 DOI: 10.1002/aepp.13448

Christian Stetter, Robert Huber, Robert Finger

引用次数: 0

Economic freedom, the minimum wage, and food insecurity 经济自由、最低工资和粮食不安全

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-05-23 DOI: 10.1002/aepp.13438

Dean Stansel, Fengyu Wu

引用次数: 0

Complementary technology adoption and smallholder commercialization: Panel data evidence from Ethiopia 补充技术的采用与小农商业化：来自埃塞俄比亚的面板数据证据

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-05-23 DOI: 10.1002/aepp.13439

Martin Paul Tabe-Ojong Jr., Abebayehu Girma Geffersa

{"title":"Complementary technology adoption and smallholder commercialization: Panel data evidence from Ethiopia","authors":"Martin Paul Tabe-Ojong Jr., Abebayehu Girma Geffersa","doi":"10.1002/aepp.13439","DOIUrl":"10.1002/aepp.13439","url":null,"abstract":"Agricultural transformation involves the transition from subsistence agriculture marked by cultivating crops for auto-consumption to cultivating crops for output markets. This transition from subsistence agriculture to market-oriented agriculture can be a key policy boost to economic development, but evidence on the key entry points to increasing smallholder commercialization remains scarce. We examine the relationship between the adoption of improved maize varieties (IMVs), inorganic fertilizers, and smallholder commercialization. We model commercialization as a two-step decision process involving market participation and the extent of participation (sales quantity) conditional on participation. Given these two related steps, we estimate a double-hurdle model in both linear and non-linear forms. Employing a three-wave panel dataset from Ethiopia, we use the household fixed effects and correlated random effects model with the control function approach. We find the adoption of IMVs to be significantly associated with both market participation and the extent of participation. This relationship is also true for fertilizers, where we show a positive association between fertilizer use and commercialization. Given the seeming complementarity in the use of both IMVs and fertilizers, we further estimate their joint adoption. We use the multinomial endogenous switching regression model where we show greater commercialization gains under joint adoption. These findings are in line with a growing literature supporting the bundling of agricultural technologies. Given these insights, we provide empirical and policy support to the scaling of agricultural technologies as they have the potential to induce agricultural transformation by unlocking market opportunities.","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"46 3","pages":"1151-1174"},"PeriodicalIF":3.3,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aepp.13439","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141106880","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}

引用次数: 0

Whither Goeth agricultural economics? 农业经济学何去何从？

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-05-21 DOI: 10.1002/aepp.13453

Ron C. Mittelhammer, Barry K. Goodwin, Jill J. McCluskey, David Zilberman

引用次数: 0

A statistical learning approach to pasture, rangeland, forage (PRF) insurance coverage selection 草场、牧场和饲草（PRF）保险范围选择的统计学习方法

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-05-20 DOI: 10.1002/aepp.13447

Samuel D. Zapata, Xavier Villavicencio, Anderson Xicay

引用次数: 0

Forecast combination in agricultural economics: Past, present, and the future 农业经济学中的预测组合：过去、现在和未来

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-05-16 DOI: 10.1002/aepp.13445

A. Ford Ramsey, Michael K. Adjemian

{"title":"Forecast combination in agricultural economics: Past, present, and the future","authors":"A. Ford Ramsey, Michael K. Adjemian","doi":"10.1002/aepp.13445","DOIUrl":"10.1002/aepp.13445","url":null,"abstract":"Forecasts are common in agricultural settings where they are routinely used for decision-making. The advent of the computer age has allowed for rapid generation of individual forecasts that can be updated in real time. It is well known that the selection and use of a single forecast can expose the forecaster to serious error as a result of model mis-specification. Forecast combination avoids this problem by combining information from different forecasts. Although forecast combination can be as simple as averaging across forecasts, advances in machine learning have made it possible to combine forecasts according to more complicated weighting schemes and criteria. We provide an overview of forecast combination techniques, including those at the frontier of current practice and involving machine learning. We also provide a retrospective on the use of forecast combination in agricultural economics and prospects for the future. Several of the techniques are illustrated in an application to forecasting nationwide corn and soybean planted acreage and we demonstrate how forecast combination can improve expert USDA projections.","PeriodicalId":8004,"journal":{"name":"Applied Economic Perspectives and Policy","volume":"46 4","pages":"1450-1478"},"PeriodicalIF":3.3,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aepp.13445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140970059","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}

引用次数: 0

Can the American Community Survey provide new insight into household food security? An illustration of cross-survey multiple imputation 美国社区调查能否提供有关家庭粮食安全的新见解？跨调查多重估算说明

IF 3.3 2区经济学

Applied Economic Perspectives and Policy Pub Date : 2024-05-16 DOI: 10.1002/aepp.13441

Judith Bartfeld, Madeline Reed-Jones

引用次数: 0