{"title":"Diffusion of climate-resilient seeds and information: evidence from semi-arid regions of Ghana","authors":"Shaibu Mellon Bedi, Lukas Kornher","doi":"10.1080/17565529.2023.2172313","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper examines the drivers of climate-resilient seeds adoption among farm households and their corresponding spatial effects on farmers' neighbours adoption decisions in the semi-arid regions of Ghana, where the impacts of climate change on agriculture are marked. A spatial model was applied to a dataset elicited from farm households in addressing the research objective. The findings indicate the presence of peer or neighbourhood effects in the adoption and diffusion process . The findings also reveal that the socio-economic characteristics of the farm households, plot characteristics, drought condition and the source of information about the climate-resilient seeds influence farmers’ adoption and information diffusion. Finally, the findings imply that drought condition and information from model farmers generate the highest spatial spillover effects on farmers’ neighbours decisions to adopt.","PeriodicalId":47734,"journal":{"name":"Climate and Development","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate and Development","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/17565529.2023.2172313","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT This paper examines the drivers of climate-resilient seeds adoption among farm households and their corresponding spatial effects on farmers' neighbours adoption decisions in the semi-arid regions of Ghana, where the impacts of climate change on agriculture are marked. A spatial model was applied to a dataset elicited from farm households in addressing the research objective. The findings indicate the presence of peer or neighbourhood effects in the adoption and diffusion process . The findings also reveal that the socio-economic characteristics of the farm households, plot characteristics, drought condition and the source of information about the climate-resilient seeds influence farmers’ adoption and information diffusion. Finally, the findings imply that drought condition and information from model farmers generate the highest spatial spillover effects on farmers’ neighbours decisions to adopt.