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Coordination of Cooperative Knowledge Creation for Agricultural Technology Diffusion in China’s “Company Plus Farmers” Organizations

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  • Dengke Yu

    (School of Management, Nanchang University, Nanchang 330031, Jiangxi, China)

  • Rong Zhou

    (School of Economics and Management, Jiangxi Science & Technology Normal University, Nanchang 330038, Jiangxi, China)

Abstract

Cooperative knowledge creation is important for the promotion of agricultural technology diffusion in “company plus farmers” alliance organizations in China. A coordination mechanism is necessary to improve cooperative knowledge creation. A game model was developed to explain the mechanism. The model’s equilibrium was analyzed in noncoordination and coordination scenarios. Eight propositions and two corollaries were proposed and then verified by numeric analysis. We found that (1) the coordination of cooperative knowledge creation is valuable for increasing profit in agricultural technology diffusion; (2) companies and farmers are playing a game, and subsidy coefficients and degree of effort mainly influence their decisions; (3) key factors in the game are success probability and profit sharing proportion that influence the profits of a company and the farmers; (4) discount factors also influence profits, but do not influence the total profit in the coordination scenario; and (5) enhancing success probability, choosing a proper profit sharing proportion, and improving other parameters would be beneficial to the development of knowledge creation, as well as agricultural knowledge diffusion. This research provides a novel illustration of the coordination mechanism for cooperative knowledge creation for increasing the efficiency of agricultural technology diffusion in the future.

Suggested Citation

  • Dengke Yu & Rong Zhou, 2017. "Coordination of Cooperative Knowledge Creation for Agricultural Technology Diffusion in China’s “Company Plus Farmers” Organizations," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1906-:d:115986
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    References listed on IDEAS

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    1. Awudu Abdulai & Wallace E. Huffman, 2005. "The Diffusion of New Agricultural Technologies: The Case of Crossbred-Cow Technology in Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 645-659.
    2. Wozniak, Gregory D, 1993. "Joint Information Acquisition and New Technology Adoption: Late versus Early Adoption," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 438-445, August.
    3. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    4. Heinrich von Stackelberg, 2011. "Market Structure and Equilibrium," Springer Books, Springer, number 978-3-642-12586-7, December.
    5. Gao, Deng & Zhao, Xiaobo & Geng, Wei, 2014. "A delay-in-payment contract for Pareto improvement of a supply chain with stochastic demand," Omega, Elsevier, vol. 49(C), pages 60-68.
    6. Colombo, Massimo G & Mosconi, Rocco, 1995. "Complementarity and Cumulative Learning Effects in the Early Diffusion of Multiple Technologies," Journal of Industrial Economics, Wiley Blackwell, vol. 43(1), pages 13-48, March.
    7. Martin J. Osborne & Ariel Rubinstein, 1994. "A Course in Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262650401, April.
    8. Arieh Gavious & Oded Lowengart, 2012. "Price–quality relationship in the presence of asymmetric dynamic reference quality effects," Marketing Letters, Springer, vol. 23(1), pages 137-161, March.
    9. Lisa A. Cameron, 1999. "The Importance of Learning in the Adoption of High-Yielding Variety Seeds," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 83-94.
    10. Yasuyuki Todo & Petr Matous & Dagne Mojo, 2015. "Effects of social network structure on the diffusion and adoption of agricultural technology: Evidence from rural Ethiopia," Working Papers 1505, Waseda University, Faculty of Political Science and Economics.
    11. Arega D. Alene & V. M. Manyong, 2006. "Farmer‐to‐farmer technology diffusion and yield variation among adopters: the case of improved cowpea in northern Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 203-211, September.
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