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Beyond the Ecological Boundary: A Quasi-Natural Experiment on the Impact of National Marine Parks on Eco-Efficiency in Coastal Cities

Author

Listed:
  • Xiao Zhang

    (School of Business, Ningbo University, Ningbo 315211, China)

  • Di Wang

    (School of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China)

Abstract

National marine parks (NMPs) are a crucial form of marine protected areas that serve an essential function in safeguarding marine ecosystems and the related inland urban ecosystems. Though 30 coastal cities in China have established NMPs, little is known about the ecological benefits national marine parks contribute to surrounding areas. This study takes China’s coastal cities as an example and employs a multi-period DID model to investigate how eco-efficiency responds to the establishment of national marine parks, based on panel data from 2003 to 2020. The results show that the establishment of NMPs contributed to a 3.87% enhancement in the eco-efficiency of coastal cities. This finding remains robust after a series of robustness tests such as PSM-DID. In addition, significant heterogeneities are captured, with NMPs exhibiting a more substantial enhancement effect for cities along the East China Sea and South China Sea. NMPs with a large area increased the eco-efficiency of coastal cities by 5.18%, but small-area NMPs failed the significance test. A mechanism analysis further reveals that NMPs could improve the eco-efficiency of coastal cities by optimizing the industrial structure, enlivening the local economy, and inhibiting sewage pollution behaviors. This study provides evidence of the impact of NMPs on local eco-efficiency in developing countries.

Suggested Citation

  • Xiao Zhang & Di Wang, 2023. "Beyond the Ecological Boundary: A Quasi-Natural Experiment on the Impact of National Marine Parks on Eco-Efficiency in Coastal Cities," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14856-:d:1259435
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    References listed on IDEAS

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    1. Liu, Yunqiang & Zhu, Jialing & Li, Eldon Y. & Meng, Zhiyi & Song, Yan, 2020. "Environmental regulation, green technological innovation, and eco-efficiency: The case of Yangtze river economic belt in China," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    2. Cai, Xiqian & Lu, Yi & Wu, Mingqin & Yu, Linhui, 2016. "Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi-natural experiment in China," Journal of Development Economics, Elsevier, vol. 123(C), pages 73-85.
    3. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    4. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    5. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Yu, Yantuan & Peng, Chong & Li, Yushuang, 2019. "Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 456-465.
    8. Emily S. Nocito & Jenna Sullivan-Stack & Elizabeth P. Pike & Kristina M. Gjerde & Cassandra M. Brooks, 2022. "Applying Marine Protected Area Frameworks to Areas beyond National Jurisdiction," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    9. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    10. Thur, Steven M., 2010. "User fees as sustainable financing mechanisms for marine protected areas: An application to the Bonaire National Marine Park," Marine Policy, Elsevier, vol. 34(1), pages 63-69, January.
    11. Zhaohui Chong & Chenglin Qin & Xinyue Ye, 2016. "Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China," Sustainability, MDPI, vol. 8(5), pages 1-21, May.
    12. Wang, Rong & Zhao, Xing & Zhang, Ling, 2022. "Research on the impact of green finance and abundance of natural resources on China's regional eco-efficiency," Resources Policy, Elsevier, vol. 76(C).
    13. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
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