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Analysis of the Environmental Sustainability of a Megacity through a Cobenefits Indicator System—The Case of Shanghai

Author

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  • Wen Qiao

    (School of Management, Hefei University of Technology, Hefei 230009, China)

  • Xing Sun

    (Department of Environmental Science and Engineering, Fudan Tyndall Centre, Fudan University, Shanghai 200433, China)

  • Ping Jiang

    (Department of Environmental Science and Engineering, Fudan Tyndall Centre, Fudan University, Shanghai 200433, China)

  • Linji Wang

    (Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47906l, USA)

Abstract

Based on the synergistic control of greenhouse gas emissions and air pollution, a co-benefits indicator system was established to evaluate the co-benefits of city policies for megacities with regard to energy conservation and environmental sustainability. Shanghai was chosen as a typical case study, owing to its relatively high level of progress in terms of urbanization and its complex economic, social, and ecological development problems. In this indicator system, 23 indicators were screened, based on the driver-pressure-state-impact-response (DPSIR) framework. Economic, social, and ecological development data for Shanghai from 2005 to 2018 were collected and analyzed using an entropy method. This was followed by the application of a weighted average method to determine the indicator weights and co-benefits index (CBI) for Shanghai. The results yield variations in the weights of the indexes. The weight of the tertiary industry production proportion in the GDP was the highest, owing to the government promotional policies, whereas the weight of the annual average temperature was the smallest, as global warming only becomes significant when the time span is much longer. In such a short time span (i.e., 14years), the change in the annual average temperature is relatively insignificant. The Co-benefit Index also varied over time; it showed a growing trend over the 14 years, increasing from 0.375 in 2005 to 1.365 in 2018, i.e., a 264% increase. This indicates that the efforts taken in Shanghai and their effects were positive, overall. Four suggestions were proposed, based on the results of the analysis: a) control the amount of total energy consumption and change the energy structure to reduce carbon and air pollution emissions; b) adjust the structure of industry, especially by increasing the proportion of tertiary industries; c) increase investments in environmental protection; and d) cooperate with regional partners to limit the occurrence of acid rain. The applicability of this approach and research prospects are also discussed.

Suggested Citation

  • Wen Qiao & Xing Sun & Ping Jiang & Linji Wang, 2020. "Analysis of the Environmental Sustainability of a Megacity through a Cobenefits Indicator System—The Case of Shanghai," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5549-:d:382502
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    References listed on IDEAS

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    1. Pedro Núñez-Cacho & Valentín Molina-Moreno & Francisco A. Corpas-Iglesias & Francisco J. Cortés-García, 2018. "Family Businesses Transitioning to a Circular Economy Model: The Case of “Mercadona”," Sustainability, MDPI, vol. 10(2), pages 1-19, February.
    2. Martina Keitsch, 2018. "Structuring Ethical Interpretations of the Sustainable Development Goals—Concepts, Implications and Progress," Sustainability, MDPI, vol. 10(3), pages 1-9, March.
    3. Noah Scovronick & Mark Budolfson & Francis Dennig & Frank Errickson & Marc Fleurbaey & Wei Peng & Robert H. Socolow & Dean Spears & Fabian Wagner, 2019. "The impact of human health co-benefits on evaluations of global climate policy," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    4. Mark Ryan & Josephina Antoniou & Laurence Brooks & Tilimbe Jiya & Kevin Macnish & Bernd Stahl, 2020. "The Ethical Balance of Using Smart Information Systems for Promoting the United Nations’ Sustainable Development Goals," Sustainability, MDPI, vol. 12(12), pages 1-22, June.
    5. Albrecht, Johan & Francois, Delphine & Schoors, Koen, 2002. "A Shapley decomposition of carbon emissions without residuals," Energy Policy, Elsevier, vol. 30(9), pages 727-736, July.
    6. Jiang, Lu & Xue, Bing & Ma, Zhixiao & Yu, Lu & Huang, Beijia & Chen, Xingpeng, 2020. "A life-cycle based co-benefits analysis of biomass pellet production in China," Renewable Energy, Elsevier, vol. 154(C), pages 445-452.
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    2. Sheng Gao & Huihui Sun & Jingyi Wang & Wei Liu, 2022. "Evaluation and Countermeasures of High-Quality Development of China’s Marine Economy Based on PSO-SVM," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    3. Zhongyao Cai & Xiaohui Yang & Huaxing Lin & Xinyu Yang & Ping Jiang, 2022. "Study on the Co-Benefits of Air Pollution Control and Carbon Reduction in the Yellow River Basin: An Assessment Based on a Spatial Econometric Model," IJERPH, MDPI, vol. 19(8), pages 1-15, April.
    4. Yingbing Liu & Wenying Du & Nengcheng Chen & Xiaolei Wang, 2020. "Construction and Evaluation of the Integrated Perception Ecological Environment Indicator (IPEEI) Based on the DPSIR Framework for Smart Sustainable Cities," Sustainability, MDPI, vol. 12(17), pages 1-25, August.

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