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The role of climate and loan financing information on solar irrigation adoption among cocoa farmers in Ghana

Author

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  • Muller, Lotte C.F.E.
  • Bell, Andrew R.
  • Buisson, Marie-Charlotte
  • Calvo-Hernandez, Carlos
  • Gbodji, Kekeli
  • Obahoundje, Salomon
  • Zane, Giulia
  • Schaafsma, Marije

Abstract

While climate change poses increasing risks to cocoa production, the adoption of irrigation in Ghana's cocoa sector remains low. In this context, this study examined farmers' preferences for climate and loan financing information for solar irrigation adoption. A discrete choice experiment was conducted with cocoa farmers across seven regions of Ghana. In treatment groups, we varied the availability of major season consecutive dry days information, while both groups received major season rainfall amount information, forecast spread, and financial conditions for solar irrigation adoption. The climate information projected conditions over a five-year horizon. Using mixed logit and latent class models, we found that farmers responded strongly to loan costs per month and the fraction of their farm that would be irrigated. In contrast, farmers showed limited sensitivity to climate and forecast spread information. We found that farmers were not willing to pay for rainfall amount and consecutive dry days information. We did not detect a significant difference in cocoa farmer preferences for solar irrigation when additional dry days information was provided. However, we did detect that consecutive dry days information was used during decision making. Preferences were shaped by perceptions of climate change and education levels, and not by stated attribute non-attendance. The findings highlight the importance of financial support and that transmission of climate information to farmers and actual use of this information for decision making is complex and requires a context-specific combination of climate and behavioural sciences.

Suggested Citation

  • Muller, Lotte C.F.E. & Bell, Andrew R. & Buisson, Marie-Charlotte & Calvo-Hernandez, Carlos & Gbodji, Kekeli & Obahoundje, Salomon & Zane, Giulia & Schaafsma, Marije, 2026. "The role of climate and loan financing information on solar irrigation adoption among cocoa farmers in Ghana," Ecological Economics, Elsevier, vol. 243(C).
  • Handle: RePEc:eee:ecolec:v:243:y:2026:i:c:s0921800926000108
    DOI: 10.1016/j.ecolecon.2026.108925
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    1. Meyerhoff, Jürgen & Liebe, Ulf, 2010. "Determinants of protest responses in environmental valuation: A meta-study," Ecological Economics, Elsevier, vol. 70(2), pages 366-374, December.
    2. Amfo, Bismark & Ali, Ernest Baba, 2020. "Climate change coping and adaptation strategies: How do cocoa farmers in Ghana diversify farm income?," Forest Policy and Economics, Elsevier, vol. 119(C).
    3. Lechthaler, Filippo & Vinogradova, Alexandra, 2017. "The climate challenge for agriculture and the value of climate services: Application to coffee-farming in Peru," European Economic Review, Elsevier, vol. 99(C), pages 5-30.
    4. Durga, Neha & Schmitter, Petra & Ringler, C. & Mishra, Shrishti & Magombeyi, Manuel S. & Ofosu, Abena & Pavelic, Paul & Hagos, Fitsum & Melaku, Dagmawi & Verma, Shilp & Minh, Thai & Matambo, Chamunorw, 2024. "Barriers to the uptake of solar-powered irrigation by smallholder farmers in Sub-Saharan Africa: a review," Papers published in Journals (Open Access), International Water Management Institute, pages 1-51:101294.
    5. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    7. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    8. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    9. Tesfaye, Abonesh & Hansen, James & Kassie, Girma Tesfahun & Radeny, Maren & Solomon, Dawit, 2019. "Estimating the economic value of climate services for strengthening resilience of smallholder farmers to climate risks in Ethiopia: A choice experiment approach," Ecological Economics, Elsevier, vol. 162(C), pages 157-168.
    10. Krinsky, Itzhak & Robb, A Leslie, 1990. "On Approximating the Statistical Properties of Elasticities: A Correction," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 189-190, February.
    11. Schrieks, Teun & Botzen, W.J. Wouter & Haer, Toon & Aerts, Jeroen C.J.H., 2025. "Preferences for drought risk adaptation support in Kenya: Evidence from a discrete choice experiment and three decision-making theories," Ecological Economics, Elsevier, vol. 227(C).
    12. Daniel K. Lew & John C. Whitehead, 2020. "Attribute Non-attendance as an Information Processing Strategy in Stated Preference Choice Experiments: Origins, Current Practices, and Future Directions," Marine Resource Economics, University of Chicago Press, vol. 35(3), pages 285-317.
    13. Jean‐Paul Chavas & Céline Nauges, 2020. "Uncertainty, Learning, and Technology Adoption in Agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 42-53, March.
    14. Meyerhoff, Jurgen & Liebe, Ulf, 2006. "Protest beliefs in contingent valuation: Explaining their motivation," Ecological Economics, Elsevier, vol. 57(4), pages 583-594, June.
    15. Mariel, Petr & Meyerhoff, Jürgen, 2018. "A More Flexible Model or Simply More Effort? On the Use of Correlated Random Parameters in Applied Choice Studies," Ecological Economics, Elsevier, vol. 154(C), pages 419-429.
    16. Gregory L. Poe & Kelly L. Giraud & John B. Loomis, 2005. "Computational Methods for Measuring the Difference of Empirical Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 353-365.
    17. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    18. Balasubramanya, Soumya & Buisson, Marie-Charlotte & Mitra, Archisman & Stifel, David, 2023. "Price, credit or ambiguity? Increasing small-scale irrigation in Ethiopia," World Development, Elsevier, vol. 163(C).
    19. P. Läderach & A. Martinez-Valle & G. Schroth & N. Castro, 2013. "Predicting the future climatic suitability for cocoa farming of the world’s leading producer countries, Ghana and Côte d’Ivoire," Climatic Change, Springer, vol. 119(3), pages 841-854, August.
    20. Afi Amen Christèle Attiogbé & Udo Nehren & Emmanuel Quansah & Enoch Bessah & Seyni Salack & Jean Mianikpo Sogbedji & Sampson K. Agodzo, 2024. "Cocoa Farmers’ Perceptions of Drought and Adaptive Strategies in the Ghana–Togo Transboundary Cocoa Belt," Land, MDPI, vol. 13(11), pages 1-20, October.
    21. Felix Akrofi-Atitianti & Chinwe Ifejika Speranza & Louis Bockel & Richard Asare, 2018. "Assessing Climate Smart Agriculture and Its Determinants of Practice in Ghana: A Case of the Cocoa Production System," Land, MDPI, vol. 7(1), pages 1-21, March.
    22. Tesfaye, Abonesh & Hansen, James & Kagabo, Desire & Birachi, Eliud & Radeny, Maren & Solomon, Dawit, 2023. "Modeling farmers' preference and willingness to pay for improved climate services in Rwanda," Environment and Development Economics, Cambridge University Press, vol. 28(4), pages 368-386, August.
    23. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    24. Asmamaw Getnet Wassie & Shegaw Getu Nesibu & Yismaw Ayelign Mengistu, 2024. "Estimating farmers’ willingness to pay for crop insurance with application of choice experiment: case study in South Gondar Zone, Ethiopia," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 85(1), pages 19-37, November.
    25. Czajkowski, Mikołaj & Budziński, Wiktor, 2019. "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, vol. 31(C), pages 73-85.
    26. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    27. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    28. Alcorta, Peio & Mariel, Petr, 2025. "Beyond biases: Exploring endogeneity in the allocation function of latent class models for environmental valuation," Resource and Energy Economics, Elsevier, vol. 83(C).
    29. B. Fosu-Mensah & P. Vlek & D. MacCarthy, 2012. "Farmers’ perception and adaptation to climate change: a case study of Sekyedumase district in Ghana," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 14(4), pages 495-505, August.
    30. Adet, Lucette & Rozendaal, Danaë M.A. & Tapi, Arthur & Zuidema, Pieter A. & Vaast, Philippe & Anten, Niels P.R., 2024. "Negative effects of water deficit on cocoa tree yield are partially mitigated by irrigation and potassium application," Agricultural Water Management, Elsevier, vol. 296(C).
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