Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali

Bola Amoke Awotide (), Adebayo Ogunniyi, Kehinde Oluseyi Olagunju, Lateef Olalekan Bello, Amadou Youssouf Coulibaly, Alexander Nimo Wiredu, Bourémo Kone, Aly Ahamadou, Victor Manyong and Tahirou Abdoulaye
Additional contact information
Bola Amoke Awotide: Centre for Agrarian Transformation and Development (CATD), Bamako 91094, Mali
Adebayo Ogunniyi: International Fund for Agricultural Development (IFAD), Abuja 90021, Nigeria
Kehinde Oluseyi Olagunju: Economics and Evaluation Branch, Department of Agriculture, Environment and Rural Affairs, Belfast BT4 3SB, UK
Lateef Olalekan Bello: Department of Global Agricultural Science, The University of Tokyo, Tokyo 113-8657, Japan
Amadou Youssouf Coulibaly: Institut de Pedagogie Universitaire (IPU), Bamako 91094, Mali
Alexander Nimo Wiredu: AKDE Solutions Ghana Ltd., Accra P.O. Box LG 68, Ghana
Bourémo Kone: Institut d’Economie Rurale (IER), Bamako 91092, Mali
Aly Ahamadou: Institut d’Economie Rurale (IER), Bamako 91092, Mali
Victor Manyong: Social Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Dar es Salam 34441, Tanzania
Tahirou Abdoulaye: Social Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Bamako 91094, Mali

Agriculture, 2022, vol. 12, issue 11, 1-16

Abstract: 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.

Keywords: Climate-Smart Agricultural Technologies; quantile regression; endogeneity; Sahel region; Mali (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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