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Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model

Author

Listed:
  • Yingxue Rao

    (South-Central University for Nationalities
    South-Central University for Nationalities)

  • Min Zhou

    (Huazhong University of Science and Technology)

  • Chunxia Cao

    (Hubei Biopesticide Engineering Research Center)

  • Shukui Tan

    (Huazhong University of Science and Technology)

  • Yan Song

    (The University of North Carolina at Chapel Hill)

  • Zuo Zhang

    (Central China Normal University)

  • Deyi Dai

    (Center of Hubei Cooperative Innovation for Emissions Trading System (CHCIETS)
    Hubei University of Economics)

  • Guoliang Ou

    (Shenzhen Polytechnic)

  • Lu Zhang

    (Huazhong University of Science and Technology)

  • Xin Nie

    (Guangxi University)

  • Aiping Deng

    (Huazhong University of Science and Technology)

  • Zhuoma Cairen

    (Huazhong University of Science and Technology)

Abstract

Industrial structure optimization model can effectively support sustainable economic development. This study firstly summarized four types existing industrial structure optimization models. Based on reviews of these models, this study proposed an inexact chance-constrained fuzzy programming model for industrial structure optimization. This model has three features: (1) the model considers many social economic and ecological environment factors which can provide various of sustainable development strategies; (2) the model considers three uncertainties which are discrete intervals, fuzzy sets and probabilities; therefore, the model can reflect uncertain features of the industrial structure system without excessive hypothesis; (3) the model can effectively reflect the quantitive relationship between economic benefit increasing and ecological environmental cost retardant in the industrial system. The proposed model is applied to industrial structure optimization of Hefeng County, Hubei Province, China. The results provided a series of desired industrial structure patterns and environmental emission scenarios under uncertainty which could help government and industry decision makers in the study area to formulate appropriate industrial policies which could balance the social economic development and ecological environment protection. The modelling results can support quantity and deeply analysis of industrial structure patterns and trade-off between economical development and ecological environment protection.

Suggested Citation

  • Yingxue Rao & Min Zhou & Chunxia Cao & Shukui Tan & Yan Song & Zuo Zhang & Deyi Dai & Guoliang Ou & Lu Zhang & Xin Nie & Aiping Deng & Zhuoma Cairen, 2019. "Exploring the quantitive relationship between economic benefit and environmental constraint using an inexact chance-constrained fuzzy programming based industrial structure optimization model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2199-2220, July.
    • Handle: RePEc:spr:qualqt:v:53:y:2019:i:4:d:10.1007_s11135-019-00865-x
    DOI: 10.1007/s11135-019-00865-x
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    References listed on IDEAS

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    1. Pan Jiang & Hanwen Zhang & Mengyue Li & Yuhan Zhang & Xiujuan Gong & Dong He & Liang Liu, 2023. "Research on the Structural Optimization of the Clean Energy Industry in the Context of Dual Carbon Strategy—A Case Study of Sichuan Province, China," Sustainability, MDPI, vol. 15(4), pages 1-21, February.

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