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Multicriteria analysis of sustainable development indicators in the construction minerals industry in China

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  • Chen, Rong-Hui
  • Lin, Yuanhsu
  • Tseng, Ming-Lang

Abstract

Mining and minerals is an important industry in China. Construction projects, in particular, are on the rise in Beijing. The construction minerals sector has already started responding to sustainability challenges, as demonstrated by the construction group. Thus, construction minerals are important in city development. The aim of this study was to develop a set of measurement and proposed hybrid method to analyze sustainable development indicators within economic categories under uncertainty. Evaluating the perceptions of sustainable indicators is a complex process because the requirements for environmental compliance tend to be vague and contradictory. In this study, the uncertainties in the evaluation process were resolved using a hybrid approach, which combines fuzzy set theory, the Delphi method, and a discrete multi-criteria method based on prospect theory for uncertainty (known as TODIM in Portuguese). The advantages of the developed hybrid approach are illustrated using a case study. The results show that the fuzzy TODIM approach can easily and effectively accommodate criteria for gain and loss functions, thereby enabling managers to improve sustainability indicators and reduce the overall environmental impact under uncertainty.

Suggested Citation

  • Chen, Rong-Hui & Lin, Yuanhsu & Tseng, Ming-Lang, 2015. "Multicriteria analysis of sustainable development indicators in the construction minerals industry in China," Resources Policy, Elsevier, vol. 46(P1), pages 123-133.
    • Handle: RePEc:eee:jrpoli:v:46:y:2015:i:p1:p:123-133
    DOI: 10.1016/j.resourpol.2014.10.012
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    2. Zhou, Jianli & Liu, Dandan & Sha, Ru & Sun, Jingbing & Wang, Yubao & Wu, Yunna, 2024. "Geospatial simulation and decision optimization towards identifying the layout suitability and priority for wind-photovoltaic-hydrogen-ammonia project: An empirical study in China," Energy, Elsevier, vol. 286(C).
    3. Wang, Xu & Fang, Hong & Fang, Siran, 2020. "An integrated approach for exploitation block selection of shale gas—based on cloud model and grey relational analysis," Resources Policy, Elsevier, vol. 68(C).
    4. Juntao Tan & Pingyu Zhang & Kevin Lo & Jing Li & Shiwei Liu, 2016. "The Urban Transition Performance of Resource-Based Cities in Northeast China," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    5. Tseng, Ming-Lang & Lim, Ming K. & Wu, Kuo-Jui, 2019. "Improving the benefits and costs on sustainable supply chain finance under uncertainty," International Journal of Production Economics, Elsevier, vol. 218(C), pages 308-321.
    6. Tröster, Rasmus & Hiete, Michael, 2019. "Do voluntary sustainability certification schemes in the sector of mineral resources meet stakeholder demands? A multi-criteria decision analysis," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    7. Wang, Ran & Cheng, Jinhua & Zhu, Yali & Xiong, Weiwei, 2016. "Research on diversity of mineral resources carrying capacity in Chinese mining cities," Resources Policy, Elsevier, vol. 47(C), pages 108-114.
    8. Yifan Liu & Tiantian Bao & Dan Zhao & Huiyun Sang & Benwei Fu, 2022. "Evaluation of Student-Perceived Service Quality in Higher Education for Sustainable Development: A Fuzzy TODIM-ERA Method," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
    9. Long Zhang & Wuliyasu Bai & Jing Yu & Linmao Ma & Jingzheng Ren & Weishi Zhang & Yuanzheng Cui, 2018. "Critical Mineral Security in China: An Evaluation Based on Hybrid MCDM Methods," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    10. Tang, Xu & Li, Chunyan & Hu, Shiyuan & Liu, Yaolin & Geng, Hong, 2016. "Evaluating extended land consumption in building life cycle to improve land conservation: A case study in Shenyang, China," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 78-89.
    11. Guangdong Wu & Guofeng Qiang & Jian Zuo & Xianbo Zhao & Ruidong Chang, 2018. "What are the Key Indicators of Mega Sustainable Construction Projects? —A Stakeholder-Network Perspective," Sustainability, MDPI, vol. 10(8), pages 1-18, August.
    12. Jin, Haifeng, 2023. "Analyzing factors and resource policymaking options for sustainable resource management and carbon neutrality in mining industry: Empirical study in China," Resources Policy, Elsevier, vol. 86(PB).
    13. Bui, Nuong Thi & Kawamura, Akira & Kim, Kyoung Woong & Prathumratana, Lunchakorn & Kim, Tae-Heok & Yoon, Suk-Ho & Jang, Min & Amaguchi, Hideo & Bui, Duong Du & Truong, Ngoc Tu, 2017. "Proposal of an indicator-based sustainability assessment framework for the mining sector of APEC economies," Resources Policy, Elsevier, vol. 52(C), pages 405-417.

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    More about this item

    Keywords

    Fuzzy set theory; Sustainable development indicators; Fuzzy Delphi method (FDM); Interval-valued fuzzy; TODIM;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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