IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3183-d1063141.html
   My bibliography  Save this article

Impact of New and Old Driving Force Conversion on Air Quality: Empirical Analysis Based on RDD

Author

Listed:
  • Yan Zhu

    (School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan 250014, China)

  • Hongfeng Zhang

    (School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan 250014, China)

  • Xu He

    (School of Economics, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

This paper evaluates the impact of the conversion of new and old driving forces of economic growth on air quality. Based on the policy shock of the establishment of the Shandong pilot zone, this paper took the monthly air quality index (AQI) as a measurement indicator and adopted the Regression Discontinuity Design (RDD) method. It was found that the conversion of new and old driving forces significantly improved air quality, and this effect was still robust for different bandwidths. The examination of individual pollutants revealed that the improvement in air quality (AQI) came mainly from the reduction in the levels of five pollutants in the air: PM 2.5 , PM 10 , SO 2 , CO, and NO 2 . Moreover, through the convergence analysis, it was found that the air pollution governance effect of the conversion of new and old driving forces had significant β convergence characteristics. The convergence characteristics were still robust even considering control variables and spatial factors, thus indicating that the conversion of new and old driving forces had a synergistic governance effect on air pollution control.

Suggested Citation

  • Yan Zhu & Hongfeng Zhang & Xu He, 2023. "Impact of New and Old Driving Force Conversion on Air Quality: Empirical Analysis Based on RDD," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3183-:d:1063141
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3183/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3183/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bugni, Federico A. & Canay, Ivan A., 2021. "Testing continuity of a density via g-order statistics in the regression discontinuity design," Journal of Econometrics, Elsevier, vol. 221(1), pages 138-159.
    2. Jihai Yu & Lung-Fei Lee, 2012. "Convergence: A Spatial Dynamic Panel Data Approach," Global Journal of Economics (GJE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-36.
    3. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    4. Viard, V. Brian & Fu, Shihe, 2015. "The effect of Beijing's driving restrictions on pollution and economic activity," Journal of Public Economics, Elsevier, vol. 125(C), pages 98-115.
    5. Selden Thomas M. & Song Daqing, 1994. "Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 27(2), pages 147-162, September.
    6. Yunpeng Luo & Huai Chen & Qiu'an Zhu & Changhui Peng & Gang Yang & Yanzheng Yang & Yao Zhang, 2014. "Relationship between Air Pollutants and Economic Development of the Provincial Capital Cities in China during the Past Decade," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-14, August.
    7. Fu, Shihe & Viard, V. Brian & Zhang, Peng, 2022. "Trans-boundary air pollution spillovers: Physical transport and economic costs by distance," Journal of Development Economics, Elsevier, vol. 155(C).
    8. Buehn, Andreas & Farzanegan, Mohammad Reza, 2013. "Hold your breath: A new index of air pollution," Energy Economics, Elsevier, vol. 37(C), pages 104-113.
    9. Shen, Yuxin & Xu, Hanwen & Yu, Shuangli & Xu, Wei & Shen, Yongjian, 2022. "Air pollution and tax avoidance: New evidence from China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 402-420.
    10. Qi Zou & Jinhui Zhao & Yingying Sun & Chao He & Zhouxiang Zhang, 2022. "Interprovincial Differences in Air Pollution in the Background of China’s Carbon Neutrality Target," Sustainability, MDPI, vol. 14(10), pages 1-14, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Atı̇la Abdulkadı̇roğlu & Joshua D. Angrist & Yusuke Narita & Parag Pathak, 2022. "Breaking Ties: Regression Discontinuity Design Meets Market Design," Econometrica, Econometric Society, vol. 90(1), pages 117-151, January.
    2. B. Venkatraja, 2021. "Does China exhibit any evidence of an Environmental Kuznets Curve? An ARDL bounds testing approach," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 88-110,111-.
    3. Babii, Andrii & Kumar, Rohit, 2023. "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 234(2), pages 371-393.
    4. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    5. Shihe Fu & V Brian Viard, 2019. "Commute costs and labor supply: evidence from a satellite campus," Journal of Economic Geography, Oxford University Press, vol. 19(3), pages 723-752.
    6. Takuya Ishihara & Masayuki Sawada, 2020. "Manipulation-Robust Regression Discontinuity Designs," Papers 2009.07551, arXiv.org, revised Sep 2024.
    7. Hsu, Yu-Chin & Shiu, Ji-Liang & Wan, Yuanyuan, 2024. "Testing identification conditions of LATE in fuzzy regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 241(1).
    8. Gu, Wentao & Zheng, Xiaoyan, 2021. "An empirical study on the impact of sustainable entrepreneurship: Based on the environmental Kuznets model," Journal of Business Research, Elsevier, vol. 123(C), pages 613-624.
    9. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    10. Dang, Hai-Anh H. & Trinh, Trong-Anh, 2021. "Does the COVID-19 lockdown improve global air quality? New cross-national evidence on its unintended consequences," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    11. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    12. Jia Yu Xie & Dong Hee Suh & Sung-Kwan Joo, 2021. "A Dynamic Analysis of Air Pollution: Implications of Economic Growth and Renewable Energy Consumption," IJERPH, MDPI, vol. 18(18), pages 1-15, September.
    13. Cavalcanti, T. & Mohaddes, K. & Nian, H. & Yin, H., 2023. "Air Pollution and Firm-Level Human Capital, Knowledge and Innovation," Cambridge Working Papers in Economics 2301, Faculty of Economics, University of Cambridge.
    14. Nian, Yongwei, 2023. "Incentives, penalties, and rural air pollution: Evidence from satellite data," Journal of Development Economics, Elsevier, vol. 161(C).
    15. Yue Hua & Yue Lu & Ruili Zhao, 2022. "Global value chain engagement and air pollution: Evidence from Chinese firms," Journal of Economic Surveys, Wiley Blackwell, vol. 36(3), pages 708-727, July.
    16. Noelia Bernal & Javier Olivera & Marc Suhrcke, 2024. "The effects of social pensions on nutrition‐related health outcomes of the poor: Quasi‐experimental evidence from Peru," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 971-991, May.
    17. Ziwei Yan & Chunying Cui, 2022. "How Natural Gas Infrastructure Affects Carbon Emission Indicators in Guangdong Province?," Sustainability, MDPI, vol. 14(13), pages 1-26, July.
    18. Fu, Shihe & Gu, Yizhen, 2017. "Highway toll and air pollution: Evidence from Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 32-49.
    19. Zhang, Jin & Shi, Dan & Ma, Lianrui & Wu, Yuan & Liu, Shoulin & Li, Jinkai, 2024. "The role of household energy consumption behavior in environmental policy outcomes —the case of driving restriction policy in zhengzhou," Energy Policy, Elsevier, vol. 188(C).
    20. Leopoldo Fergusson & Arturo Harker & Carlos Molina & Juan Camilo Yamín, 2023. "Political incentives and corruption evidence from ghost students," Documentos CEDE 20732, Universidad de los Andes, Facultad de Economía, CEDE.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3183-:d:1063141. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.