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Evaluating Environmentally Sustainable Development Based on the PSR Framework and Variable Weigh Analytic Hierarchy Process

Author

Listed:
  • Fan Wang

    (School of Accounting, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Yao Lu

    (School of Accounting, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Jin Li

    (School of Management and E-Business, Modern Business Research Center, Key Research Institute, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Juan Ni

    (School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan 430073, China)

Abstract

Environmentally sustainable development is a multidimensional concept that emphasizes the integration of economy, society and environment within a region and the realization of dynamic balance. How to objectively environmentally sustainable development has been a major concern for scholars and policy makers. To address this problem effectively, we first obtain the indicators of environmentally sustainable development based on the pressure-state-response (PSR) framework. Then, we introduce variable weight factors in the traditional analytic hierarchy process (AHP), so that the weights assigned by experts to sustainable development indicators can change with time or space. In this way, we propose a new and improved weight distribution method called variable weigh analytic hierarchy process. Finally, we employ indicators of environmentally sustainable development based on PSR and variable weigh analytic hierarchy process to evaluate the sustainable development of cities in a case country. Our study found that: (1) indicators of environmentally sustainable development should consist of three parts: pressure indicators of environmentally sustainable development, state indicators of environmentally sustainable development, and response indicators of sustainable development; (2) with the variable weigh analytic hierarchy process, our ranking hierarchy process can handle dynamic changes among indicators better than the traditional AHP method and better reflect the true states of indicators.

Suggested Citation

  • Fan Wang & Yao Lu & Jin Li & Juan Ni, 2021. "Evaluating Environmentally Sustainable Development Based on the PSR Framework and Variable Weigh Analytic Hierarchy Process," IJERPH, MDPI, vol. 18(6), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:2836-:d:514582
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    References listed on IDEAS

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    2. Chenying Li & Tiantian Zhang & Xi Wang & Zefeng Lian, 2022. "Site Selection of Urban Parks Based on Fuzzy-Analytic Hierarchy Process (F-AHP): A Case Study of Nanjing, China," IJERPH, MDPI, vol. 19(20), pages 1-27, October.
    3. Li Li & Dezhong Kong & Qinzhi Liu & Yu Xiong & Fei Chen & Haibing Zhang & Yunyun Chu, 2022. "Comprehensive Identification of Surface Subsidence Evaluation Grades of Mines in Southwest China," Mathematics, MDPI, vol. 10(15), pages 1-16, July.
    4. Wang, Ye, 2023. "What drives sustainable development? Evaluating the role of oil and coal resources for selected resource rich economies," Resources Policy, Elsevier, vol. 80(C).
    5. Chien, FengSheng, 2022. "How renewable energy and non-renewable energy affect environmental excellence in N-11 economies?," Renewable Energy, Elsevier, vol. 196(C), pages 526-534.
    6. Saeed Siyal & Munawar Javed Ahmed & Riaz Ahmad & Bushra Shahzad Khan & Chunlin Xin, 2021. "Factors Influencing Green Purchase Intention: Moderating Role of Green Brand Knowledge," IJERPH, MDPI, vol. 18(20), pages 1-22, October.
    7. You-Shyang Chen & Jerome Chih-Lung Chou & Yu-Sheng Lin & Ying-Hsun Hung & Xuan-Han Chen, 2023. "Identification of SMEs in the Critical Factors of an IS Backup System Using a Three-Stage Advanced Hybrid MDM–AHP Model," Sustainability, MDPI, vol. 15(4), pages 1-29, February.
    8. Alfonso Carfora & Giuseppe Scandurra, 2024. "Forecasting Energy Poverty in European Countries: The Effect of Increasing Energy Commodities Prices," Energies, MDPI, vol. 17(5), pages 1-14, March.
    9. Yiting Zhu & Xueru Pang & Chunshan Zhou & Xiong He, 2022. "Coupling Coordination Degree between the Socioeconomic and Eco-Environmental Benefits of Koktokay Global Geopark in China," IJERPH, MDPI, vol. 19(14), pages 1-25, July.

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