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The research of ecological security evaluation for mineral-resource enterprises-a case of China

Author

Listed:
  • Yun-hong Zheng

    (Northeastern University)

  • Kai Li

    (Northeastern University)

Abstract

As the rapid development of economy and society in the world, the situation of ecological security has become more and more severe. The problem on ecological security is concerned with whether the continuous development of economy and society can realize or not, as well as the regional stability and international safety, so ecological security has become the primary measurement of the continuous development. Meanwhile there are a lot of research on ecological security of hometown and abroad, and the research range is becoming wider and in depth. With this background, this paper analyses the meaning of mineral-resource ecological security, sets up ecological security index system of mineral-resource enterprises based on the pressure-state-response (P-S-R) model, then determined the weights of the indices by analytical hierarchy process (AHP), and presents a method to evaluating it. After empirical analysis, the paper pointed out that evaluating the ecological environment security of mineral- resource enterprise is not only necessary but also the base of building ecological security alarming mechanism.

Suggested Citation

  • Yun-hong Zheng & Kai Li, 2009. "The research of ecological security evaluation for mineral-resource enterprises-a case of China," Fuzzy Information and Engineering, Springer, vol. 1(3), pages 329-341, September.
    • Handle: RePEc:spr:fuzinf:v:1:y:2009:i:3:d:10.1007_s12543-009-0025-x
    DOI: 10.1007/s12543-009-0025-x
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    References listed on IDEAS

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    1. Bojan Srdjevic & Yvonilde Medeiros, 2008. "Fuzzy AHP Assessment of Water Management Plans," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(7), pages 877-894, July.
    2. Cheng, Ching-Hsue, 1997. "Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function," European Journal of Operational Research, Elsevier, vol. 96(2), pages 343-350, January.
    3. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    4. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.
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