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Risk paradigm and risk evaluation of farmers cooperatives' technology innovation

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  • Luo, Jian-Li
  • Hu, Zhen-Hua

Abstract

Technology innovation has become one of the most important factors for cooperatives to gain competitive advantage and to improve farmers' income. However, cooperatives must face huge risks of technology innovation. This paper discusses the risk paradigm of cooperatives' technology innovation from three dimensions of cooperatives' internal factors, technology factors and external environment factors. Then it determines the weight of each risk index with the integration of rough set and information entropy, and determines the risk coefficient with fuzzy comprehensive evaluation method. Lastly it conducts risk evaluation for a specific innovation project by numerical examples.

Suggested Citation

  • Luo, Jian-Li & Hu, Zhen-Hua, 2015. "Risk paradigm and risk evaluation of farmers cooperatives' technology innovation," Economic Modelling, Elsevier, vol. 44(C), pages 80-85.
    • Handle: RePEc:eee:ecmode:v:44:y:2015:i:c:p:80-85
    DOI: 10.1016/j.econmod.2014.10.024
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    References listed on IDEAS

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    1. Luo, Jianli, 2012. "Information acquisition under uncertainty: The case of labor-managed and profit-maximizing firms coexist," Economic Modelling, Elsevier, vol. 29(6), pages 2527-2532.
    2. Amir K. Abadi Ghadim & David J. Pannell & Michael P. Burton, 2005. "Risk, uncertainty, and learning in adoption of a crop innovation," Agricultural Economics, International Association of Agricultural Economists, vol. 33(1), pages 1-9, July.
    3. Luo, Jianli, 2013. "Absorptive capacity and R&D strategy in mixed duopoly with labor-managed and profit-maximizing firms," Economic Modelling, Elsevier, vol. 31(C), pages 433-439.
    4. Beatriz Armendáriz & Jonathan Morduch, 2010. "The Economics of Microfinance, Second Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262014106, April.
    5. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
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    Cited by:

    1. Luo, Jianli & Guo, Hongdong & Jia, Fu, 2017. "Technological innovation in agricultural co-operatives in China: Implications for agro-food innovation policies," Food Policy, Elsevier, vol. 73(C), pages 19-33.
    2. Jia Shi & Jiacheng Zhang & Naiyan Xie & Zhuodong Yang & Jianli Luo, 2022. "An Agricultural Supply Chain Coordination Model: The Case of Trinity Comprehensive Cooperation Organization in China," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    3. Hassan Arabshahi & Hamed Fazlollahtabar, 2018. "Classifying Innovative Activities Using Decision Tree and Gini Index," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-14, June.
    4. Yuxin Meng & Lu Liu & Qiying Ran, 2022. "Can Urban Green Transformation Reduce the Urban–Rural Income Gap? Empirical Evidence Based on Spatial Durbin Model and Mediation Effect Model," Sustainability, MDPI, vol. 14(24), pages 1-24, December.

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