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Analysis on the symbiosis stability of agricultural equipment manufacturing value network based on Lotka–Volterra

Author

Listed:
  • Xiaohui Dong

    (Yancheng Institute of Technology)

  • Ruhong Ma

    (Yancheng Institute of Technology)

Abstract

The agricultural equipment manufacturing value network is a symbiotic organization with stability serving as its important sustaining mechanism. Higher stability corresponds with stronger self-sustainability. In light of this, in accordance with the theory of biologic population symbiosis and the internal relationship of agricultural equipment manufacturing value network, the Lotka–Volterra ecosystem dynamic model is established and the enterprise income under the state of stable equilibrium analyzed and compared so as to study the conditions and reasons for their stable symbiosis. The analysis results clearly explain the operational risk of the symbiosis of value network, which could provide a reference for the policy formulation in the agricultural equipment manufacturing enterprises and the positive role of value network organization in advancing the development of agricultural equipment manufacturing.

Suggested Citation

  • Xiaohui Dong & Ruhong Ma, 2017. "Analysis on the symbiosis stability of agricultural equipment manufacturing value network based on Lotka–Volterra," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 499-504, January.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-015-0381-3
    DOI: 10.1007/s13198-015-0381-3
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    References listed on IDEAS

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    1. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    2. Block, Zenas & Ornati, Oscar A., 1987. "Compensating corporate venture managers," Journal of Business Venturing, Elsevier, vol. 2(1), pages 41-51.
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