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Determinants of choice of crop variety as climate change adaptation option in arid regions of Zimbabwe

Author

Listed:
  • Zivanomoyo James

    (Department of Economics, Great Zimbabwe University)

  • Mukarati Julius

    (Department of Agricultural Economics, Midlands State University)

Abstract

Impacts of climate change in developing countries remain poorly understood because few studies have successfully analyses the overall impact of climate on developing country economies. Agricultural growth is widely viewed as an effective and most important way to reduce poverty in developing countries which are hardly hit by the adverse effects of climate change (Datt and Ravallion, 1996). Despite this knowledge the main challenge is how to increase agricultural productivity to improve household welfare and increase food security in these changing and challenging climatic conditions. This study used the multinomial logit model to analyse the determinants of farmers' choice of crop variety in the face of climate change. The estimation of the multinomial logit was done by using the sorghum variety options as dependent variable and where farmers grow other crop different from sorghum as the reference state. Results show that the key determinants of choosing crop variety are; the price of existing crop variety, level of education of farmers, the size of the farms, government policies and incentives and credit availability.

Suggested Citation

  • Zivanomoyo James & Mukarati Julius, 2013. "Determinants of choice of crop variety as climate change adaptation option in arid regions of Zimbabwe," Russian Journal of Agricultural and Socio-Economic Sciences, CyberLeninka;Редакция журнала Russian Journal of Agricultural and Socio-Economic Sciences, vol. 15(3), pages 54-62.
  • Handle: RePEc:scn:031261:14498276
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    Cited by:

    1. Zengwei Xu & Jing Li & Jiliang Ma, 2022. "Impacts of Extension Contact on the Adoption of Formulated Fertilizers and Farm Performance among Large-Scale Farms in Rural China," Land, MDPI, vol. 11(11), pages 1-19, November.
    2. Yir-Hueih Luh & Yun-Cih Chang & Shuay-Tsyr Ho, 2022. "Crop Switching and Farm Sustainability: Empirical Evidence from Multinomial Treatment-Effect Modeling," Sustainability, MDPI, vol. 14(3), pages 1-12, January.

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