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Optimizing the Regional Industrial Structure Based on the Environmental Carrying Capacity: An Inexact Fuzzy Multi-Objective Programming Model

Author

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  • Wenyi Wang

    (School of Environment, Beijing Normal University, No. 19, XinJieKouWai Street, HaiDian District, Beijing 100875, China)

  • Weihua Zeng

    (School of Environment, Beijing Normal University, No. 19, XinJieKouWai Street, HaiDian District, Beijing 100875, China)

Abstract

An inexact fuzzy multi-objective programming model (IFMOP) based on the environmental carrying capacity is provided for industrial structure optimization problems. In the IFMOP model, both fuzzy linear programming (FLP) and inexact linear programming (ILP) methods are introduced into a multi-objective programming framework. It allows uncertainties to be directly communicated into the problem solving processing, and it can effectively reflect the complexity and uncertainty of an industrial system without impractical simplification. The two objective functions utilized in the optimization study are the maximum total output value and population size, and the constraints include water environmental capacity, water resource supply, atmospheric environmental capacity and energy supply. The model is subsequently employed in a realistic case for industrial development in the Tongzhou district, Beijing, China. The results demonstrate that the model can help to analyze whether the environmental carrying capacity of Tongzhou can meet the needs of the social economic objectives in the new town plan in the two scenarios and can assist decision makers in generating stable and balanced industrial structure patterns with consideration of the resources, energy and environmental constraints to meet the maximum social economic efficiency.

Suggested Citation

  • Wenyi Wang & Weihua Zeng, 2013. "Optimizing the Regional Industrial Structure Based on the Environmental Carrying Capacity: An Inexact Fuzzy Multi-Objective Programming Model," Sustainability, MDPI, vol. 5(12), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:5:y:2013:i:12:p:5391-5415:d:31322
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    References listed on IDEAS

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    Cited by:

    1. Jianming Xu & Qinfei Yu & Xiaoyang Hou, 2023. "Sustainability Assessment of Steel Industry in the Belt and Road Area Based on DPSIR Model," Sustainability, MDPI, vol. 15(14), pages 1-24, July.
    2. Bowen Shen & Shijie Zhang, 2022. "Determinants of Workplace Choice: How Important Is the City’s Ecological Environment in Attracting Jobseekers in China," Sustainability, MDPI, vol. 14(5), pages 1-15, February.
    3. Zhiping Zhang & Fuqiang Xia & Degang Yang & Yufang Zhang & Tianyi Cai & Rongwei Wu, 2019. "Comparative Study of Environmental Assessment Methods in the Evaluation of Resources and Environmental Carrying Capacity—A Case Study in Xinjiang, China," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    4. Xinhao Min & Yanning Wang & Jun Chen, 2022. "Resource Carrying Capacity Evaluation Based on Fuzzy Evaluation: Validation Using Karst Landscape Region in Southwest China," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    5. Chanhoon Jung & Chanwoo Kim & Solhee Kim & Kyo Suh, 2018. "Analysis of Environmental Carrying Capacity with Emergy Perspective of Jeju Island," Sustainability, MDPI, vol. 10(5), pages 1-12, May.
    6. 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.
    7. Wenqi Wang & Yuhong Sun & Jing Wu, 2018. "Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    8. Xuhui Ding & Zhu Fu & Hongwen Jia, 2019. "Study on Urbanization Level, Urban Primacy and Industrial Water Utilization Efficiency in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(23), pages 1-13, November.

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