{"title":"The impact of credit on the technical efficiency of food crop producing smallholder farmers in Ethiopia","authors":"Melkamu Girma Koricho, M. H. Ahmed","doi":"10.1108/afr-08-2021-0108","DOIUrl":null,"url":null,"abstract":"PurposeThis study examines the impact of access to credit on the technical efficiency (TE) of maize-producing smallholder farmers in Ethiopia and explores factors determining credit utilization.Design/methodology/approachThe study relies on nationally representative data collected in 2015/2016. The data are analyzed by combining the Propensity Score Matching technique with a stochastic frontier model that corrects selectivity bias arising from unobserved variables.FindingsThe result shows that credit service improves TE and helps smallholder farmers to achieve the maximum possible output level from a given set of inputs used.Originality/valueTo the best of author’s knowledge, no study has yet measured the impact of access to credit on TE by controlling for both observed and unobserved heterogeneities. Existing research relied on a single production frontier model, assuming that credit users and non-users have similar production characteristics or ignored selection bias due to observable and unobservable characteristics.","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Finance Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/afr-08-2021-0108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
引用次数: 4
Abstract
PurposeThis study examines the impact of access to credit on the technical efficiency (TE) of maize-producing smallholder farmers in Ethiopia and explores factors determining credit utilization.Design/methodology/approachThe study relies on nationally representative data collected in 2015/2016. The data are analyzed by combining the Propensity Score Matching technique with a stochastic frontier model that corrects selectivity bias arising from unobserved variables.FindingsThe result shows that credit service improves TE and helps smallholder farmers to achieve the maximum possible output level from a given set of inputs used.Originality/valueTo the best of author’s knowledge, no study has yet measured the impact of access to credit on TE by controlling for both observed and unobserved heterogeneities. Existing research relied on a single production frontier model, assuming that credit users and non-users have similar production characteristics or ignored selection bias due to observable and unobservable characteristics.
期刊介绍:
Agricultural Finance Review provides a rigorous forum for the publication of theory and empirical work related solely to issues in agricultural and agribusiness finance. Contributions come from academic and industry experts across the world and address a wide range of topics including: Agricultural finance, Agricultural policy related to agricultural finance and risk issues, Agricultural lending and credit issues, Farm credit, Businesses and financial risks affecting agriculture and agribusiness, Agricultural policies affecting farm or agribusiness risks and profitability, Risk management strategies including the use of futures and options, Rural credit in developing economies, Microfinance and microcredit applied to agriculture and rural development, Financial efficiency, Agriculture insurance and reinsurance. Agricultural Finance Review is committed to research addressing (1) factors affecting or influencing the financing of agriculture and agribusiness in both developed and developing nations; (2) the broadest aspect of risk assessment and risk management strategies affecting agriculture; and (3) government policies affecting farm profitability, liquidity, and access to credit.