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Distributional impact of climate-smart villages on access to savings and credit and adoption of improved climate-smart agricultural practices in the Nyando Basin, Kenya

Author

Listed:
  • Marcel Asseldonk

    (Wageningen Economic Research, Wageningen University and Research)

  • Remco Oostendorp

    (Vrije Universiteit Amsterdam)

  • John Recha

    (CCAFS East Africa)

  • John Gathiaka

    (University of Nairobi)

  • Richard Mulwa

    (University of Nairobi)

  • Maren Radeny

    (Vrije Universiteit Amsterdam)

  • Cor Wattel

    (Wageningen Economic Research, Wageningen University and Research)

  • Lia Wesenbeeck

    (Vrije Universiteit Amsterdam)

Abstract

Adoption of improved livestock breeds requires, as with other climate-smart agricultural (CSA) practices, upfront investments, which might be a significant barrier for smallholders. For this reason, the climate-smart village (CSV) approach not only includes CSA interventions, but also interventions to improve access to savings and credit among smallholders by means of a community-based approach. In this paper we study smallholders in CSVs in Kenya who were encouraged, among others, to adopt improved livestock breeds for crossbreeding with indigenous breeds to improve their resilience to climate change and variability. The farmers were also encouraged to become part of savings and credit groups to improve smallholder access to finance. The objective of this paper is thus to determine the (distributional) impact of CSVs on access to savings and credit and the adoption of improved CSA practices. Due to the as good as random selection of CSVs, we are able to estimate the treatment effects on the treated for the smallholders who decided to participate in the CSA intervention by means of a linear probability model. The analysis is based on a balanced panel of 118 farm households interviewed in 2017, 2019, and 2020. The main findings of this study are that the CSV intervention increased the adoption of improved livestock breeds. It also stimulated the membership of savings and credit groups which in turn stimulated the adoption of improved livestock breeds. These findings point to the importance of community-based savings and loan initiatives to mobilize finance among farmers enabling them to invest in CSA practices. Also, the introduction of improved breeds in CSVs has benefited especially the larger livestock owners. However, the availability of credit is found to have mitigated the concentration of improved livestock ownership since the diffusion of improved livestock in CSVs was somewhat more equitable than the (spontaneous) spill-over diffusion in the non-CSVs (reducing the Gini by 0.04).

Suggested Citation

  • Marcel Asseldonk & Remco Oostendorp & John Recha & John Gathiaka & Richard Mulwa & Maren Radeny & Cor Wattel & Lia Wesenbeeck, 2024. "Distributional impact of climate-smart villages on access to savings and credit and adoption of improved climate-smart agricultural practices in the Nyando Basin, Kenya," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(4), pages 1-47, April.
    • Handle: RePEc:spr:masfgc:v:29:y:2024:i:4:d:10.1007_s11027-024-10123-7
    DOI: 10.1007/s11027-024-10123-7
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    References listed on IDEAS

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    1. Didier Yélognissè Alia & Aliou Diagne & Patrice Adegbola & Florent Kinkingninhoun, 2018. "Distributional Impact of Agricultural Technology Adoption on Rice Farmers’ Expenditure: The Case of Nigeria in Benin," Journal of African Development, African Finance and Economic Association (AFEA), vol. 20(2), pages 91-103.
    2. Chernozhukov, Victor & Fernández-Val, Iván & Kowalski, Amanda E., 2015. "Quantile regression with censoring and endogeneity," Journal of Econometrics, Elsevier, vol. 186(1), pages 201-221.
    3. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    4. Carpena, Fenella & Zia, Bilal, 2020. "The causal mechanism of financial education: Evidence from mediation analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 143-184.
    5. Simtowe, Franklin & Zeller, Manfred, 2006. "The Impact of Access to Credit on the Adoption of hybrid maize in Malawi: An Empirical test of an Agricultural Household Model under credit market failure," MPRA Paper 45, University Library of Munich, Germany.
    6. de Janvry, Alain & Finan, Frederico & Sadoulet, Elisabeth & Vakis, Renos, 2006. "Can conditional cash transfer programs serve as safety nets in keeping children at school and from working when exposed to shocks?," Journal of Development Economics, Elsevier, vol. 79(2), pages 349-373, April.
    7. S. Wagura Ndiritu, 2021. "Drought responses and adaptation strategies to climate change by pastoralists in the semi-arid area, Laikipia County, Kenya," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(3), pages 1-18, March.
    8. Hoffecker, Elizabeth, 2021. "Understanding inclusive innovation processes in agricultural systems: A middle-range conceptual model," World Development, Elsevier, vol. 140(C).
    9. Wonder Agbenyo & Yuansheng Jiang & Xinxin Jia & Jingyi Wang & Gideon Ntim-Amo & Rahman Dunya & Anthony Siaw & Isaac Asare & Martinson Ankrah Twumasi, 2022. "Does the Adoption of Climate-Smart Agricultural Practices Impact Farmers’ Income? Evidence from Ghana," IJERPH, MDPI, vol. 19(7), pages 1-25, March.
    10. Ogada, Maurice Juma & Rao, Elizaphan J.O. & Radeny, Maren & Recha, John W. & Solomon, Dawit, 2020. "Climate-smart agriculture, household income and asset accumulation among smallholder farmers in the Nyando basin of Kenya," World Development Perspectives, Elsevier, vol. 18(C).
    11. Carter, Michael R., 1989. "The impact of credit on peasant productivity and differentiation in Nicaragua," Journal of Development Economics, Elsevier, vol. 31(1), pages 13-36, July.
    12. Maurice Ogada & Germano Mwabu & Diana Muchai, 2014. "Farm technology adoption in Kenya: a simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-18, December.
    13. Catherine Guirkinger & Stephen R. Boucher, 2008. "Credit constraints and productivity in Peruvian agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 295-308, November.
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