IDEAS home Printed from https://ideas.repec.org/p/hhs/gunefd/2021_008.html
   My bibliography  Save this paper

Understanding the Adoption and Impact of Multiple Climate Smart Agricultural Practices: Panel Data Evidence from Nigeria

Author

Listed:
  • Chukwuone, Nnaemeka Andegbe

    (Resource and Environmental Policy Research Centre and Department of Agricultural Economics, University of Nigeria Nsukka)

  • Teklewold, Hailemariam

    (Environment and Climate Research Center, Policy Studies Institute, Ethiopia)

  • Onyekuru, Anthony NwaJesus

    (Resource and Environmental Policy Research Centre and Department of Agricultural Economics, University of Nigeria Nsukka)

  • Achike, Anthonia

    (Resource and Environmental Policy Research Centre and Department of Agricultural Economics, University of Nigeria Nsukka)

  • Amaechina, Ebele Chinelo

    (Resource and Environmental Policy Research Centre and Department of Agricultural Economics, University of Nigeria Nsukka)

  • Ajaero, Chukwuedozie

    (Resource and Environmental Policy Research Centre and Department of Geography, University of Nigeria Nsukka)

Abstract

Farm-level adoption of a portfolio of climate-smart agricultural (CSA) practices remains important to climate change adaptation and agricultural development in Sub-Saharan Africa. This paper uses nationally representative panel data sets in rural Nigeria to understand farm households’ decisions on choices of a range of CSA practices – such as cropping system diversification, improved seeds, and inorganic and organic fertilizers – and assess their combined effect on net farm returns using an endogenous switching treatment effects method. Our results reveal that adoption of CSA practices differs according to the level of asset ownership and incidence of shocks. While adoption of an individual CSA practice increases income compared with non-adoption, the highest farm income was achieved when farmers adopted all practices jointly. We conclude that adoption of multiple CSA practices can enhance farm income.

Suggested Citation

  • Chukwuone, Nnaemeka Andegbe & Teklewold, Hailemariam & Onyekuru, Anthony NwaJesus & Achike, Anthonia & Amaechina, Ebele Chinelo & Ajaero, Chukwuedozie, 2021. "Understanding the Adoption and Impact of Multiple Climate Smart Agricultural Practices: Panel Data Evidence from Nigeria," EfD Discussion Paper 21-8, Environment for Development, University of Gothenburg.
    • Handle: RePEc:hhs:gunefd:2021_008
    as

    Download full text from publisher

    File URL: https://www.efdinitiative.org/sites/default/files/publications/MS%201132%20DP%2021-08%20to%20Global%20Hub%20Aug%2024.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    2. Jonathan Morduch, 1995. "Income Smoothing and Consumption Smoothing," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 103-114, Summer.
    3. Kar, Gouranga & Singh, Ravender & Verma, H. N., 2004. "Alternative cropping strategies for assured and efficient crop production in upland rainfed rice areas of eastern India based on rainfall analysis," Agricultural Water Management, Elsevier, vol. 67(1), pages 47-62, June.
    4. Jeetendra Prakash Aryal & Dil Bahadur Rahut & Sofina Maharjan & Olaf Erenstein, 2018. "Factors affecting the adoption of multiple climate‐smart agricultural practices in the Indo‐Gangetic Plains of India," Natural Resources Forum, Blackwell Publishing, vol. 42(3), pages 141-158, August.
    5. Bryan, Elizabeth & Ringler, Claudia & Okoba, Barrack & Koo, Jawoo & Herrero, Mario & Silvestri, Silvia, 2011. "Agricultural management for climate change adaptation, greenhouse gas mitigation, and agricultural productivity: Insights from Kenya," IFPRI discussion papers 1098, International Food Policy Research Institute (IFPRI).
    6. Paswel P. Marenya & Christopher B. Barrett, 2009. "State-conditional Fertilizer Yield Response on Western Kenyan Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 991-1006.
    7. Hassan, Rashid M. & Nhemachena, Charles, 2008. "Determinants of African farmers’ strategies for adapting to climate change: Multinomial choice analysis," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 2(01), pages 1-22, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hailemariam Teklewold & Alemu Mekonnen & Gunnar Kohlin & Salvatore Di Falco, 2017. "Does Adoption Of Multiple Climate-Smart Practices Improve Farmers’ Climate Resilience? Empirical Evidence From The Nile Basin Of Ethiopia," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 1-30, February.
    2. Teklewold, Hailemariam & Gebrehiwot, Tagel & Bezabih, Mintewab, 2019. "Climate smart agricultural practices and gender differentiated nutrition outcome: An empirical evidence from Ethiopia," World Development, Elsevier, vol. 122(C), pages 38-53.
    3. Martey, Edward & Etwire, Prince Maxwell & Abdoulaye, Tahirou, 2020. "Welfare impacts of climate-smart agriculture in Ghana: Does row planting and drought-tolerant maize varieties matter?," Land Use Policy, Elsevier, vol. 95(C).
    4. Jane Kabubo-Mariara & Richard Mulwa, 2019. "Adaptation to climate change and climate variability and its implications for household food security in Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(6), pages 1289-1304, December.
    5. Mustafa, Ghulam & Latif, Ismail Abd & Ashfaq, Muhammad & Bashir, Muhammad Khalid & Shamsudin, Mad Nasir & Wan Daud, Wan Mohamed Noordin, 2017. "Adaptation Process To Climate Change In Agriculture- An Empirical Study," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 5(4), October.
    6. Jongwoo Kim & Nicole M. Mason & David Mather & Felicia Wu, 2021. "The effects of the national agricultural input voucher scheme (NAIVS) on sustainable intensification of maize production in Tanzania," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 857-877, September.
    7. Elias, Hailu, 2019. "Impact of Credit Constraints on Agricultural Productivity in the face of Climate Variability: Panel Data Evidence from Rural Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 28(02), October.
    8. Eleni Yitbarek & Wondimagegn Tesfaye, 2022. "Climate-Smart Agriculture, Non-Farm Employment and Welfare: Exploring Impacts and Options for Scaling Up," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    9. Antonelli, Chiara & Coromaldi, Manuela & Pallante, Giacomo, 2022. "Crop and income diversification for rural adaptation: Insights from Ugandan panel data," Ecological Economics, Elsevier, vol. 195(C).
    10. Beyene, Abebe D. & Mekonnen, Alemu & Kassie, Menale & Di Falco, Salvatore & Bezabih, Mintewab, 2017. "Determinants of Adoption and Impacts of Sustainable Land Management and Climate Smart Agricultural Practices (SLM-CSA): Panel Data Evidence from the Ethiopian Highlands," EfD Discussion Paper 17-10, Environment for Development, University of Gothenburg.
    11. Kabubo-Mariara, Jane & Mulwa, Richard M. & Di Falco, Salvatore, 2017. "Adaptation to Climate Change and Variability and Its Implications for Household Nutrition in Kenya," EfD Discussion Paper 17-5, Environment for Development, University of Gothenburg.
    12. Jose, Anu, 2024. "Income shocks and intrahousehold resource allocation: evidence from rural Ethiopia," MPRA Paper 121873, University Library of Munich, Germany.
    13. Teklewold, Hailemariam & Adam, Rahma I. & Marenya, Paswel, 2020. "What explains the gender differences in the adoption of multiple maize varieties? Empirical evidence from Uganda and Tanzania," World Development Perspectives, Elsevier, vol. 18(C).
    14. Mahmud, Mahreen & Riley, Emma, 2021. "Household response to an extreme shock: Evidence on the immediate impact of the Covid-19 lockdown on economic outcomes and well-being in rural Uganda," World Development, Elsevier, vol. 140(C).
    15. Giuseppe Maggio & Marina Mastrorillo & Nicholas J. Sitko, 2022. "Adapting to High Temperatures: Effect of Farm Practices and Their Adoption Duration on Total Value of Crop Production in Uganda," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 385-403, January.
    16. Oostendorp, Remco H. & Doan, Quang Hong, 2013. "Have the returns to education really increased in Vietnam? Wage versus employment effect," Journal of Comparative Economics, Elsevier, vol. 41(3), pages 923-938.
    17. Ariu, Andrea & Breinlich, Holger & Corcos, Gregory & Mion, Giordano, 2019. "The interconnections between services and goods trade at the firm-level," Journal of International Economics, Elsevier, vol. 116(C), pages 173-188.
    18. Evan J. Miller-Tait & Sandeep Mohapatra & M. K. (Marty) Luckert & Brent M. Swallow, 2019. "Processing technologies for undervalued grains in rural India: on target to help the poor?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(1), pages 151-166, February.
    19. Kassie, Menale & Fisher, Monica & Muricho, Geoffrey & Diiro, Gracious, 2020. "Women’s empowerment boosts the gains in dietary diversity from agricultural technology adoption in rural Kenya," Food Policy, Elsevier, vol. 95(C).
    20. Monsueto, Sandro Eduardo & Simão, Rosycler Cristal Santos, 2008. "The impact of gender discrimination on poverty in Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.

    More about this item

    Keywords

    climate-smart agriculture; farm income; climate change; panel data; Nigeria;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:gunefd:2021_008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Franklin Amuakwa-Mensah (email available below). General contact details of provider: https://www.efdinitiative.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.