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Determinants of farmers’ preference for adaptation strategies to climate change: evidence from north shoa zone of Amhara region Ethiopia

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  • Mulatu Debalke, Negash
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    Abstract

    Studies on climate change adaptation recognize the importance of agro-ecology based research for designing context-specific policies and programs to climate change. This study, therefore, applied a case-study approach to examine farmers’ preference for climate change adaptation strategies and the factors deriving their preference. Thus, households’ preference for five types of climate change adaptation strategies (multiple cropping, livestock, soil conservation, irrigation, and changing planting dates) is identified and the determinants of the preference are analyzed using Rank-Ordered Logit Model. The result shows that multiple cropping is the most preferred and frequently applied adaptation strategy to climate change, while livestock production is the least. The result also indicates that gender, age, farming experience and education level of the household head, household size, and farm and nonfarm income; farm size and farm distance to homestead; agricultural extension services and access to climate forecast information; farmers’ perceptions on long-term average temperature and rainfall affect farmers’ preference for the climate change adaptation strategies. Thus, policies and programs with the aim of reducing climate change impacts through adaptation need to consider important roles of these factors. The main barriers to climate change adaptation are lack of information or knowledge, shortage of money, shortage of land, and unsuitability of land and poor potential for irrigation. Although adaptation is one of the policy options for reducing the negative impacts of climate change, it is challenged by these constraints. Therefore, promoting investments and strengthening efforts to address these constraints is suggested to enhance farmers’ adaptation capacity and thus adaptation to climate change.

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    File URL: http://mpra.ub.uni-muenchen.de/48753/
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    Bibliographic Info

    Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 48753.

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    Date of creation: May 2011
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    Handle: RePEc:pra:mprapa:48753

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    Related research

    Keywords: Climate change; Adaptation preference; Perception; Rank-Ordered Logit Model;

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    1. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, vol. 67(1), pages 109-116, August.
    2. Deressa, Temesgen Tadesse, 2007. "Measuring the economic impact of climate change on Ethiopian agriculture : Ricardian approach," Policy Research Working Paper Series 4342, The World Bank.
    3. Edward Kato & Claudia Ringler & Mahmud Yesuf & Elizabeth Bryan, 2011. "Soil and water conservation technologies: a buffer against production risk in the face of climate change? Insights from the Nile basin in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 42(5), pages 593-604, 09.
    4. Asfaw, Abay & Admassie, Assefa, 2004. "The role of education on the adoption of chemical fertiliser under different socioeconomic environments in Ethiopia," Agricultural Economics, Blackwell, vol. 30(3), pages 215-228, May.
    5. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-71, September.
    6. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    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(1), March.
    8. Koop, G & Poirier, D J, 1994. "Rank-Ordered Logit Models: An Empirical Analysis of Ontario Voter Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(4), pages 369-88, Oct.-Dec..
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