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A multi-attribute decision-making model for improving inefficient industrial parks

Author

Listed:
  • Sheng-Hau Lin

    (Nanjing University)

  • Danyang Wang

    (Nanjing University)

  • Xianjin Huang

    (Nanjing University)

  • Xiaofeng Zhao

    (Hohai University)

  • Jing-Chzi Hsieh

    (Feng Chia University)

  • Gwo-Hshiung Tzeng

    (National Taipei University)

  • Jia-Hsuan Li

    (Nanjing University of Information Science and Technology)

  • Jia-Tsong Chen

    (Chinese Culture University)

Abstract

Although certain countries have proposed revitalization to address the issue of inefficient industrial parks in recent years, there is little research exploring the causes of inefficient industrial parks—although this would help in formulating improvement strategies and further resource allocation. This study presents an evaluation framework for the causes of inefficient urban industrial parks based on a novel hybrid modified multi-attribute decision-making model in real cases, which includes three dimensions and 10 criteria. Two cases of “industrial parks designated by urban planning” in Taiwan were examined. The results of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and the DEMATEL technique based on the basic concept of the analytic network process indicated that the parcel dimension (A1) and policy dimension (A3) had more influence on causing inefficiency in industrial parks. The criteria with bigger impact were “property rights (B1),” “size and shape (B2),” “location (B3),” “planning and development mechanisms (B8),” “management mechanisms (B9),” and “spatial planning policy for industry (B10).” The modified Vlse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) revealed that policy dimension (A3) and its criteria have relatively poor performance in two cases; solving the policy dimension is the most critical strategy for IPDUP. This presented decision-making model not only identifies the key causes of the inefficient industrial park and further improvements to it, but also provides a direction for evaluating, planning, and developing sustainable industrial parks.

Suggested Citation

  • Sheng-Hau Lin & Danyang Wang & Xianjin Huang & Xiaofeng Zhao & Jing-Chzi Hsieh & Gwo-Hshiung Tzeng & Jia-Hsuan Li & Jia-Tsong Chen, 2021. "A multi-attribute decision-making model for improving inefficient industrial parks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 887-921, January.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:1:d:10.1007_s10668-020-00613-4
    DOI: 10.1007/s10668-020-00613-4
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    Cited by:

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    3. N. Aktaş & N. Demirel, 2021. "A hybrid framework for evaluating corporate sustainability using multi-criteria decision making," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15591-15618, October.
    4. Lin, Sheng-Hau & Huang, Xianjin & Fu, Guole & Chen, Jia-Tsong & Zhao, Xiaofeng & Li, Jia-Hsuan & Tzeng, Gwo-Hshiung, 2021. "Evaluating the sustainability of urban renewal projects based on a model of hybrid multiple-attribute decision-making," Land Use Policy, Elsevier, vol. 108(C).
    5. Lin, Sheng-Hau & Zhang, Hejie & Li, Jia-Hsuan & Ye, Cheng-Zhou & Hsieh, Jing-Chzi, 2022. "Evaluating smart office buildings from a sustainability perspective: A model of hybrid multi-attribute decision-making," Technology in Society, Elsevier, vol. 68(C).

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