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On the Unbalanced Atmospheric Environmental Performance of Major Cities in China

Author

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  • Yongrok Choi

    (Department of International Trade, Inha University, Inharo100, Nam-gu, Incheon 402-751, Korea)

  • Fan Yang

    (Program in Industry Security Governance, Inha University, Inharo 100, Nam-gu, Incheon 402-751, Korea)

  • Hyoungsuk Lee

    (East Asia Environment Research Center, Inha University, Inharo 100, Nam-gu, Incheon 402-751, Korea)

Abstract

As the largest emitter of CO 2 , China has also serious air pollution issues. Is it possible to catch these two rabbits under heterogenetic conditions of urbanization? To answer this, this study examines atmospheric environmental performance (SO 2 , NO x , and PMs) of 30 major cities in China using streaming data from 2011 to 2017. A non-radial SBM-DEA approach is adopted with a meta-frontier model to evaluate regional heterogeneity in atmospheric environmental management. Our results suggest that pollution prevention and regulation policies encouraged synergic development of most cities in the economy and atmospheric environment. On average, atmospheric environmental efficiency of the cities improved from 0.556 to 0.691. However, significantly unbalanced development exists in the regions, requiring customized policies. Eastern cities achieved continuing improvement owing to stringent air pollutant emission policies. Central cities showed a strong improvement but lacked momentum after they achieved certain targets. Western cities lagged behind in the studying period due to both technology gap as well as weak regulation. Furthermore, we identify heterogeneous paths for inefficient cities to enhance their performance using benchmark information. Economically developed eastern cities, such as Beijing, Fuzhou, are facing an over-supply issue. Reshaping their economic structure may be necessary to attain better environmental performance. Central cities face diversified issues. The emphasis of different cities may vary from stringent emission policies to proactive supply-side transition to achieve strong atmospheric management performance. For under-developed cities, preferential policies for investment and tax incentives may be needed to improve their production scale for higher efficiency.

Suggested Citation

  • Yongrok Choi & Fan Yang & Hyoungsuk Lee, 2020. "On the Unbalanced Atmospheric Environmental Performance of Major Cities in China," Sustainability, MDPI, vol. 12(13), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5391-:d:380155
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    References listed on IDEAS

    as
    1. Ling Tang & Jiabao Qu & Zhifu Mi & Xin Bo & Xiangyu Chang & Laura Diaz Anadon & Shouyang Wang & Xiaoda Xue & Shibei Li & Xin Wang & Xiaohong Zhao, 2019. "Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards," Nature Energy, Nature, vol. 4(11), pages 929-938, November.
    2. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    3. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    4. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    5. Yongrok Choi & Chao Qi, 2019. "Is South Korea’s Emission Trading Scheme Effective? An Analysis Based on the Marginal Abatement Cost of Coal-Fueled Power Plants," Sustainability, MDPI, vol. 11(9), pages 1-12, April.
    6. Lee, Hyoungsuk & Choi, Yongrok, 2018. "Greenhouse gas performance of Korean local governments based on non-radial DDF," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 13-21.
    7. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    8. Joan A. Casey & Jason G. Su & Lucas R. F. Henneman & Corwin Zigler & Andreas M. Neophytou & Ralph Catalano & Rahul Gondalia & Yu-Ting Chen & Leanne Kaye & Sarah S. Moyer & Veronica Combs & Grace Simra, 2020. "Improved asthma outcomes observed in the vicinity of coal power plant retirement, retrofit and conversion to natural gas," Nature Energy, Nature, vol. 5(5), pages 398-408, May.
    9. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    10. Lee, Hyoungsuk & Choi, Yongrok & Seo, Hyungjun, 2020. "Comparative analysis of the R&D investment performance of Korean local governments," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    11. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    12. A. Assaf & K. M. Matawie, 2010. "Improving the accuracy of DEA efficiency analysis: a bootstrap application to the health care foodservice industry," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3547-3558.
    13. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    14. Álvarez, Inmaculada & Barbero, Javier & Zofío, Jose Luis, 2016. "A Data Envelopment Analysis Toolbox for MATLAB," Working Papers in Economic Theory 2016/03, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    15. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    16. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    17. Hyoung Seok Lee & Yongrok Choi, 2019. "Environmental Performance Evaluation of the Korean Manufacturing Industry Based on Sequential DEA," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
    18. Yongrok Choi & Yanni Yu & Hyoung Seok Lee, 2018. "A Study on the Sustainable Performance of the Steel Industry in Korea Based on SBM-DEA," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
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    Cited by:

    1. Yongrok Choi & Hyoungsuk Lee & Hojin Jeong & Jahira Debbarma, 2023. "Urbanization Paradox of Environmental Policies in Korean Local Governments," Land, MDPI, vol. 12(2), pages 1-15, February.
    2. Fan Yang & Yongrok Choi & Hyoungsuk Lee, 2021. "Convergence or Divergence? Emission Performance in the Regional Comprehensive Economic Partnership Countries," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    3. Jahira Debbarma & Hyoungsuk Lee & Yongrok Choi, 2021. "Sustainable Feasibility of the Environmental-Friendly Policies on Agriculture and Its Related Sectors in India," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    4. Mengxue Ji & Zhenming Wu & Dandan Zhu, 2023. "Environmental Vertical Management and Enterprises’ Performance: Evidence from Water Pollution Reduction in China," Sustainability, MDPI, vol. 15(19), pages 1-17, September.
    5. Xiao Han & Yining Chen & Hehua Zhao, 2023. "Temporal–Spatial Evolution, Influencing Factors, and Driving Mechanisms of Environmental Regulation Performance Disparities: Evidence from China," Sustainability, MDPI, vol. 15(15), pages 1-26, July.
    6. Ji, Yuhang & Lei, Yalin & Li, Li & Zhang, An & Wu, Sanmang & Li, Qun, 2021. "Evaluation of the implementation effects and the influencing factors of resource tax in China," Resources Policy, Elsevier, vol. 72(C).
    7. Yongrok Choi & Hua Wen & Hyoungsuk Lee & Hang Yang, 2020. "Measuring Operational Performance of Major Chinese Airports Based on SBM-DEA," Sustainability, MDPI, vol. 12(19), pages 1-17, October.

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