Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali
Climate change is negatively affecting agricultural production in the Sahel region. Climate-Smart Agricultural Technologies (CSATs) are disseminated to reduce these negative effects, and particularly those on resource-poor farm households. This article investigates the distributional impacts of the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/12/11/1853 |
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| author | Bola Amoke Awotide Adebayo Ogunniyi Kehinde Oluseyi Olagunju Lateef Olalekan Bello Amadou Youssouf Coulibaly Alexander Nimo Wiredu Bourémo Kone Aly Ahamadou Victor Manyong Tahirou Abdoulaye |
| author_facet | Bola Amoke Awotide Adebayo Ogunniyi Kehinde Oluseyi Olagunju Lateef Olalekan Bello Amadou Youssouf Coulibaly Alexander Nimo Wiredu Bourémo Kone Aly Ahamadou Victor Manyong Tahirou Abdoulaye |
| author_sort | Bola Amoke Awotide |
| collection | DOAJ |
| description | Climate change is negatively affecting agricultural production in the Sahel region. Climate-Smart Agricultural Technologies (CSATs) are disseminated to reduce these negative effects, and particularly those on resource-poor farm households. This article investigates the distributional impacts of the adoption of CSAT on-farm households’ welfare using a dataset that covers four regions, 32 communes, 320 villages, and 2240 households in Mali. Using an instrumental variable quantile treatment effects model, the paper addresses the potential endogeneity arising from the selection bias and the heterogeneity of the effect across the quantiles of the outcome variables’ distribution. The results show that the adoption of CSAT is positively associated with improved households’ welfare. The farmers’ decision to adopt any CSAT is influenced by access to credit, contact with extension agents, participation in training, access to information through the television, and being a member of any organization such as a cooperative society. Moreover, the effect of the adoption of CSAT on household welfare varies across the different households. In particular, the results show that the impact of the adoption of CSAT on households’ welfare is generally higher for the poorest (farmers located at the bottom tail of the distribution) end of the welfare distribution. The findings, therefore, highlight the pro-poor impact of the adoption of CSAT in the rural Malian context, as well as the need to tailor the CSAT interventions toward specific socio-economic segments of the rural population in Mali. |
| first_indexed | 2024-03-09T19:22:28Z |
| format | Article |
| id | doaj.art-eaa24072b33d4ca09eac0323707e5ca9 |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-09T19:22:28Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-eaa24072b33d4ca09eac0323707e5ca92023-11-24T03:18:07ZengMDPI AGAgriculture2077-04722022-11-011211185310.3390/agriculture12111853Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in MaliBola Amoke Awotide0Adebayo Ogunniyi1Kehinde Oluseyi Olagunju2Lateef Olalekan Bello3Amadou Youssouf Coulibaly4Alexander Nimo Wiredu5Bourémo Kone6Aly Ahamadou7Victor Manyong8Tahirou Abdoulaye9Centre for Agrarian Transformation and Development (CATD), Bamako 91094, MaliInternational Fund for Agricultural Development (IFAD), Abuja 90021, NigeriaEconomics and Evaluation Branch, Department of Agriculture, Environment and Rural Affairs, Belfast BT4 3SB, UKDepartment of Global Agricultural Science, The University of Tokyo, Tokyo 113-8657, JapanInstitut de Pedagogie Universitaire (IPU), Bamako 91094, MaliAKDE Solutions Ghana Ltd., Accra P.O. Box LG 68, GhanaInstitut d’Economie Rurale (IER), Bamako 91092, MaliInstitut d’Economie Rurale (IER), Bamako 91092, MaliSocial Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Dar es Salam 34441, TanzaniaSocial Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Bamako 91094, MaliClimate change is negatively affecting agricultural production in the Sahel region. Climate-Smart Agricultural Technologies (CSATs) are disseminated to reduce these negative effects, and particularly those on resource-poor farm households. This article investigates the distributional impacts of the adoption of CSAT on-farm households’ welfare using a dataset that covers four regions, 32 communes, 320 villages, and 2240 households in Mali. Using an instrumental variable quantile treatment effects model, the paper addresses the potential endogeneity arising from the selection bias and the heterogeneity of the effect across the quantiles of the outcome variables’ distribution. The results show that the adoption of CSAT is positively associated with improved households’ welfare. The farmers’ decision to adopt any CSAT is influenced by access to credit, contact with extension agents, participation in training, access to information through the television, and being a member of any organization such as a cooperative society. Moreover, the effect of the adoption of CSAT on household welfare varies across the different households. In particular, the results show that the impact of the adoption of CSAT on households’ welfare is generally higher for the poorest (farmers located at the bottom tail of the distribution) end of the welfare distribution. The findings, therefore, highlight the pro-poor impact of the adoption of CSAT in the rural Malian context, as well as the need to tailor the CSAT interventions toward specific socio-economic segments of the rural population in Mali.https://www.mdpi.com/2077-0472/12/11/1853Climate-Smart Agricultural Technologiesquantile regressionendogeneitySahel regionMali |
| spellingShingle | Bola Amoke Awotide Adebayo Ogunniyi Kehinde Oluseyi Olagunju Lateef Olalekan Bello Amadou Youssouf Coulibaly Alexander Nimo Wiredu Bourémo Kone Aly Ahamadou Victor Manyong Tahirou Abdoulaye Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali Agriculture Climate-Smart Agricultural Technologies quantile regression endogeneity Sahel region Mali |
| title | Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali |
| title_full | Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali |
| title_fullStr | Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali |
| title_full_unstemmed | Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali |
| title_short | Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali |
| title_sort | evaluating the heterogeneous impacts of adoption of climate smart agricultural technologies on rural households welfare in mali |
| topic | Climate-Smart Agricultural Technologies quantile regression endogeneity Sahel region Mali |
| url | https://www.mdpi.com/2077-0472/12/11/1853 |
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