IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6641-d1449241.html
   My bibliography  Save this article

Research on Evolution and Recommendations of China’s PM 2.5 and O 3 Pollution Control Policies under the Carbon Peak and Carbon Neutrality Targets

Author

Listed:
  • Yuecheng Jian

    (College of Environmental Science and Engineering, Beijing Forestry University, No. 35 Qinghuadong Road, Beijing 100083, China)

  • Yanshan Gao

    (College of Environmental Science and Engineering, Beijing Forestry University, No. 35 Qinghuadong Road, Beijing 100083, China)

  • Xinyu Cao

    (College of Environmental Science and Engineering, Beijing Forestry University, No. 35 Qinghuadong Road, Beijing 100083, China)

  • Nana Peng

    (College of Environmental Science and Engineering, Beijing Forestry University, No. 35 Qinghuadong Road, Beijing 100083, China)

  • Chao Yang

    (School of Management, Zhejiang University, Hangzhou 310058, China)

  • Xiaoxiu Lun

    (College of Environmental Science and Engineering, Beijing Forestry University, No. 35 Qinghuadong Road, Beijing 100083, China)

  • Qiang Wang

    (College of Environmental Science and Engineering, Beijing Forestry University, No. 35 Qinghuadong Road, Beijing 100083, China)

Abstract

In recent years, the issue of PM 2.5 and O 3 pollution in China has gradually become a hot topic in air pollution control. Powerful, precise, and clear policies are important to guide the efficient control of PM 2.5 and O 3 pollution. However, research on PM 2.5 and O 3 pollution policies is very limited. Moreover, these reports have failed to identify all the specific characteristics of the PM 2.5 and O 3 pollution policies in China, leading to inefficient control of PM 2.5 and O 3 pollution. Therefore, based on the external features and internal structures of relevant policy documents, this paper conducts a detailed bibliometric analysis to elucidate the evolution of PM 2.5 and O 3 pollution control policies in China. The results reveal the following: (1) The PM 2.5 and O 3 pollution control policies in China exhibit a characteristic of “top-down cross-level response lag”, transitioning from individual pollutant control to coordinated control of PM 2.5 and O 3 pollution. (2) The Ministry of Environmental Protection and the Ministry of Ecology and Environment have been the two major policy issuers in China’s government, focusing on “Technology” and “Monitoring”, respectively. However, the aforementioned policies are mainly implemented by local governments, with limited interregional cooperation but an overemphasis on enterprise pollution control and emergency systems. (3) In terms of policy instruments, supply- and environment-oriented policy instruments are predominant, whereas demand-oriented policy instruments are inadequate. Therefore, it is suggested to utilize the synergistic effect of pollution reduction and carbon mitigation to achieve the goal of the “dual carbon” strategy, enhance public participation to strengthen cooperation among diverse stakeholders, strengthen cross-regional cooperation to overcome governance barriers, and reasonably optimize the use of policy instruments to form an effective combination of policy instruments.

Suggested Citation

  • Yuecheng Jian & Yanshan Gao & Xinyu Cao & Nana Peng & Chao Yang & Xiaoxiu Lun & Qiang Wang, 2024. "Research on Evolution and Recommendations of China’s PM 2.5 and O 3 Pollution Control Policies under the Carbon Peak and Carbon Neutrality Targets," Sustainability, MDPI, vol. 16(15), pages 1-19, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6641-:d:1449241
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6641/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/15/6641/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chengyu Han & Dongwen Hua & Juan Li, 2023. "A View of Industrial Agglomeration, Air Pollution and Economic Sustainability from Spatial Econometric Analysis of 273 Cities in China," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    2. Longwu Liang & Zhenbo Wang, 2021. "Control Models and Spatiotemporal Characteristics of Air Pollution in the Rapidly Developing Urban Agglomerations," IJERPH, MDPI, vol. 18(11), pages 1-16, June.
    3. Zhang, Pengpeng & Zhang, Lixiao & Tian, Xin & Hao, Yan & Wang, Changbo, 2018. "Urban energy transition in China: Insights from trends, socioeconomic drivers, and environmental impacts of Beijing," Energy Policy, Elsevier, vol. 117(C), pages 173-183.
    4. Yang, Chao & Huang, Cui & Su, Jun, 2020. "A bibliometrics-based research framework for exploring policy evolution: A case study of China's information technology policies," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    5. Bing ZHOU & Tong CUI & Duo LI, 2015. "Climate Monitoring and Formation Mechanism of Smog Pollution in China," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 1-21.
    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. Safdar, Sarah & Ren, Minglun & Chudhery, Muhammad Adnan Zahid & Huo, Jiazhen & Rehman, Hakeem-Ur & Rafique, Raza, 2022. "Using cloud-based virtual learning environments to mitigate increasing disparity in urban-rural academic competence," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Yang, Chao & Huang, Cui, 2022. "Quantitative mapping of the evolution of AI policy distribution, targets and focuses over three decades in China," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Xiang, Yue & Wu, Gang & Shen, Xiaodong & Ma, Yuhang & Gou, Jing & Xu, Weiting & Liu, Junyong, 2021. "Low-carbon economic dispatch of electricity-gas systems," Energy, Elsevier, vol. 226(C).
    4. Wang, Xiaomin & Tian, Guanghui & Yang, Dongyang & Zhang, Wenxin & Lu, Debin & Liu, Zhongmei, 2018. "Responses of PM2.5 pollution to urbanization in China," Energy Policy, Elsevier, vol. 123(C), pages 602-610.
    5. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    6. Liu, Yang & Zhang, Yuchen & Zhao, Xiaoli & Farnoosh, Arash & Ma, Ruoran, 2024. "Synergistic effect of environmental governance instruments embedded in social contexts: A case study of China," Ecological Economics, Elsevier, vol. 220(C).
    7. Shi, Kehan & Wang, Jinfang, 2024. "The influence and spatial effects of high-speed railway construction on urban industrial upgrading: Based on an industrial transfer perspective," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    8. Tian, Jing & Andraded, Celio & Lumbreras, Julio & Guan, Dabo & Wang, Fangzhi & Liao, Hua, 2018. "Integrating Sustainability Into City-level CO2 Accounting: Social Consumption Pattern and Income Distribution," Ecological Economics, Elsevier, vol. 153(C), pages 1-16.
    9. Li, Zihao & Yuan, Bingbing & Bai, Tingting & Dong, Xu & Wu, Haitao, 2024. "Shooting two hawks with one arrow: The role of digitization on the coordinated development of resources and environment," Resources Policy, Elsevier, vol. 90(C).
    10. Wang, Jiaxi & Zhang, Jingjing, 2023. "The impact of policy collaboration networks and policy topic networks on policy diffusion: Empirical evidence from the energy field," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    11. Mingzhao Xiong & Wenqi Li & Chenjie Jenny & Peixu Wang, 2023. "Financial Inclusion through Digitalization: Improving Emerging Drivers of Industrial Pollution—Evidence from China," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    12. Meng, Jia-Hui & Wang, Jian, 2023. "The policy trajectory of dual-use technology integration governance in China: A sequential analysis of policy evolution," Technology in Society, Elsevier, vol. 72(C).
    13. Sun, Yutao & Jiang, Lin & Cao, Cong & Tseng, Fang-Mei, 2024. "From contributors to boundary spanners: Evolving roles of government agencies in China’s innovation policy network (1980–2019)," Technovation, Elsevier, vol. 132(C).
    14. Qiang Wang & Xinhua Wang & Rongrong Li, 2024. "Geopolitical risks and energy transition: the impact of environmental regulation and green innovation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.
    15. Zeba, Gordana & Dabić, Marina & Čičak, Mirjana & Daim, Tugrul & Yalcin, Haydar, 2021. "Technology mining: Artificial intelligence in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    16. Dong Wang & Ben White & Amin Mugera & Bei Wang, 2022. "Energy Transition and Economic Development in China: A National and Sectorial Analysis from a New Structural Economics Perspectives," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    17. Zeng, Jingjing & Bao, Rui & McFarland, Michael, 2022. "Clean energy substitution: The effect of transitioning from coal to gas on air pollution," Energy Economics, Elsevier, vol. 107(C).
    18. Wang, Jie & Xiong, Yiling & Tian, Xin & Liu, Shangwei & Li, Jiashuo & Tanikawa, Hiroki, 2018. "Stagnating CO2 emissions with in-depth socioeconomic transition in Beijing," Applied Energy, Elsevier, vol. 228(C), pages 1714-1725.
    19. Guo, Li-Yang & Feng, Chao & Yang, Jun, 2022. "Can energy predict the regional prices of carbon emission allowances in China?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    20. Yang, Mian & Hou, Yaru & Fang, Chao & Duan, Hongbo, 2020. "Constructing energy-consuming right trading system for China's manufacturing industry in 2025," Energy Policy, Elsevier, vol. 144(C).

    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:16:y:2024:i:15:p:6641-:d:1449241. 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.