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Climate change adaptation strategies and technical efficiency of maize producers in Benin, West Africa.

Authors :
Akpa, Armand Fréjuis
Amegnaglo, Cocou Jaurès
Chabossou, Augustin Foster
Source :
International Journal of Productivity & Performance Management; 2024, Vol. 73 Issue 4, p1071-1087, 17p
Publication Year :
2024

Abstract

Purpose: This study aims to discuss climate change, by modifying the timing of several agricultural operations, reduce the efficiency and yield of inputs leading to a lower production level. The reduction of the effects of climate change on production yields and on farmers' technical efficiency (TE) requires the adoption of adaptation strategies. This paper analyses the impact of climate change adaptation strategies adopted on maize farmers' TE in Benin. Design/methodology/approach: This paper uses an endogeneity-corrected stochastic production frontier approach based on data randomly collected from 354 farmers located in three different agro-ecological zones of Benin. Findings: Estimation results revealed that the adoption of adaptation strategies improve maize farmers' TE by 1.28%. Therefore, polices to improve farmers' access to climate change adaptation strategies are necessarily for the improvement of farmers' TE and yield. Research limitations/implications: The results of this study contribute to the policy debate on the enhancement of food security by increasing farmers' TE through easy access to climate change adaptation strategies. The improvement of farmers' TE will in turn improve the livelihoods of the communities and therefore contribute to the achievement of Sustainable Development Goals 1, 2 and 13. Originality/value: This study contributes to theoretical and empirical debate on the relationship between adaptation to climate change and farmers' TE. It also adapts a new methodology (endogeneity-corrected stochastic production frontier approach) to correct the endogeneity problem due to the farmers' adaptation decision. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17410401
Volume :
73
Issue :
4
Database :
Complementary Index
Journal :
International Journal of Productivity & Performance Management
Publication Type :
Academic Journal
Accession number :
177901616
Full Text :
https://doi.org/10.1108/IJPPM-06-2022-0284