B. Kinuthia, A. Araar, L. N. Lalampaa, Stephene Maende, Faith Mariera
{"title":"Off-Farm Participation, Agricultural Production and Farmers’ Welfare in Tanzania and Uganda","authors":"B. Kinuthia, A. Araar, L. N. Lalampaa, Stephene Maende, Faith Mariera","doi":"10.2139/ssrn.3344558","DOIUrl":null,"url":null,"abstract":"Panel data from the Living Standards Measurement Study-Integrated Surveys on Agriculture for Tanzania and Uganda were analyzed to investigate the impact of off-farm participation on agricultural production and farmers’ welfare. Using strategies ranging from simple least squares to a dynamic panel model, we demonstrated how each of the intermediate models, such as the random effects Tobit model, could tackle censoring bias. Our results reveal that off-farm participation had a negative impact on agricultural production in both countries, though the impact was positive on welfare for Tanzania only. Policy makers should consider the complexities surrounding the formulation of pro-agriculture and pro-welfare policies aimed at producing desirable outcomes from off-farm participation. In that effort, policies that minimize the trade-off between agricultural production and off-farm participation and which enhance positive welfare effects are vital.","PeriodicalId":111133,"journal":{"name":"ERN: Agricultural Economics (Topic)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Agricultural Economics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3344558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Panel data from the Living Standards Measurement Study-Integrated Surveys on Agriculture for Tanzania and Uganda were analyzed to investigate the impact of off-farm participation on agricultural production and farmers’ welfare. Using strategies ranging from simple least squares to a dynamic panel model, we demonstrated how each of the intermediate models, such as the random effects Tobit model, could tackle censoring bias. Our results reveal that off-farm participation had a negative impact on agricultural production in both countries, though the impact was positive on welfare for Tanzania only. Policy makers should consider the complexities surrounding the formulation of pro-agriculture and pro-welfare policies aimed at producing desirable outcomes from off-farm participation. In that effort, policies that minimize the trade-off between agricultural production and off-farm participation and which enhance positive welfare effects are vital.