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Selection decision-making mechanism of “zero-waste city” in the yangtze river economic zone

Author

Listed:
  • Congjun Rao

    (Wuhan University of Technology)

  • Yawen He

    (Wuhan University of Technology)

  • Xinping Xiao

    (Wuhan University of Technology)

Abstract

At present, China is actively piloting the construction of “zero-waste city”. Aiming at the decision-making problem in the selection of pilot cities for the construction of “zero-waste city”, this paper proposed a multi-source heterogeneous multi-attribute decision-making model based on a two-tuple grey relational bidirectional projection (TT-GRBP) method. Firstly, based on the theoretical support of sustainable development, a comprehensive evaluation index system for “zero-waste city” was constructed with four aspects, i.e. economic level, environmental pollution, resource consumption, and waste utilization which includes 13 secondary indexes. Secondly, considering the index values have the characteristics of multi-source heterogeneity (the real numbers, fuzzy language variables, and interval numbers coexist simultaneously), the multi-source heterogeneous data were uniformly converted into 2 tuples. Considering the variability and correlation of indexes, a two-tuple criteria importance though intercriteria correlation (TT-CRITIC) method was proposed to determine the index weights. Thirdly, combining the grey relational analysis with projection ideas, a TT-GRBP method was proposed to make the selection decision-making of “zero-waste city”. Finally, an empirical analysis was carried out on the “zero-waste city” selection for the 39 cities of Yangtze River Economic Zone in China. According to the ranking results, some suggestions and reform directions for the construction and development of “zero-waste city” were provided from economic, environmental, and social aspects.

Suggested Citation

  • Congjun Rao & Yawen He & Xinping Xiao, 2023. "Selection decision-making mechanism of “zero-waste city” in the yangtze river economic zone," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11421-11454, October.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:10:d:10.1007_s10668-022-02534-w
    DOI: 10.1007/s10668-022-02534-w
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    References listed on IDEAS

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    1. Congjun Rao & Yue Gao, 2022. "Evaluation Mechanism Design for the Development Level of Urban-Rural Integration Based on an Improved TOPSIS Method," Mathematics, MDPI, vol. 10(3), pages 1-32, January.
    2. Bin Meng & Guotai Chi, 2018. "Evaluation Index System Of Green Industry Based On Maximum Information Content," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 229-248, March.
    3. Congjun Rao & Mark Goh & Junjun Zheng, 2017. "Erratum: "Decision Mechanism for Supplier Selection Under Sustainability"," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 591-591, March.
    4. Congjun Rao & Mark Goh & Junjun Zheng, 2017. "Decision Mechanism for Supplier Selection Under Sustainability," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 87-115, January.
    5. Gao, Mingyun & Yang, Honglin & Xiao, Qinzi & Goh, Mark, 2022. "A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector," Renewable Energy, Elsevier, vol. 181(C), pages 803-819.
    6. Yunpeng Yang & Zhiqiang Liu & Hongmin Chen & Yaqiong Wang & Guanghui Yuan, 2020. "Evaluating Regional Eco-Green Cooperative Development Based on a Heterogeneous Multi-Criteria Decision-Making Model: Example of the Yangtze River Delta Region," Sustainability, MDPI, vol. 12(7), pages 1-20, April.
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