{"title":"Dealing with endogeneity in risk analysis within the stochastic frontier approach in agricultural economics: A scoping review","authors":"Simone Russo, Lerato Phali, M. Prosperi","doi":"10.36253/bae-13516","DOIUrl":null,"url":null,"abstract":"Literature on farm productivity and efficiency was reviewed using a scoping review methodology, focusing on studies that have included risk and risk management tools within the stochastic frontier analysis in agricultural economics. This study contributes to investigating the methods used to account for endogeneity by using a risk-accommodating stochastic frontier approach when analysing farmers’ performance. Despite the increasing methodologies proposed in the literature, only a few studies have treated endogeneity in farm risk-performance evaluations. According to our findings, it can be concluded that there is a literature gap regarding the adoption of a comprehensive approach capable of dealing with endogeneity when assessing farm performances. Endogeneity and risk issues need to be concurrently addressed to make strides in achieving economic and environmental sustainability. Neglecting endogeneity in these analyses may lead to biased estimates and thus inappropriate policy recommendations failing to boost the productivity and technical efficiency of farmers.","PeriodicalId":44385,"journal":{"name":"Bio-based and Applied Economics","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bio-based and Applied Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36253/bae-13516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Literature on farm productivity and efficiency was reviewed using a scoping review methodology, focusing on studies that have included risk and risk management tools within the stochastic frontier analysis in agricultural economics. This study contributes to investigating the methods used to account for endogeneity by using a risk-accommodating stochastic frontier approach when analysing farmers’ performance. Despite the increasing methodologies proposed in the literature, only a few studies have treated endogeneity in farm risk-performance evaluations. According to our findings, it can be concluded that there is a literature gap regarding the adoption of a comprehensive approach capable of dealing with endogeneity when assessing farm performances. Endogeneity and risk issues need to be concurrently addressed to make strides in achieving economic and environmental sustainability. Neglecting endogeneity in these analyses may lead to biased estimates and thus inappropriate policy recommendations failing to boost the productivity and technical efficiency of farmers.
期刊介绍:
The journal Bio-based and Applied Economics (BAE) provides a forum for presentation and discussion of applied research in the field of bio-based sectors and related policies, informing evidence-based decision-making and policy-making. It intends to provide a scholarly source of theoretical and applied studies while remaining widely accessible for non-researchers. BAE seeks applied contributions on the economics of bio-based industries, such as agriculture, forestry, fishery and food, dealing with any related disciplines, such as resource and environmental economics, consumer studies, regional economics, innovation and development economics. Beside well-established fields of research related to these sectors, BAE aims in particular to explore cross-sectoral, recent and emerging themes characterizing the integrated management of biological resources, bio-based industries and sustainable development of rural areas. A special attention is also paid to the linkages between local and international dimensions.