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A Document Analysis of Peak Carbon Emissions and Carbon Neutrality Policies Based on a PMC Index Model in China

Author

Listed:
  • Chenrui Lu

    (School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Bing Wang

    (School of Artificial Intelligence and Electronic Commerce, Hangzhou College of Commerce, Zhejiang Gongshang University, Hangzhou 311500, China)

  • Tinggui Chen

    (School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
    School of Artificial Intelligence and Electronic Commerce, Hangzhou College of Commerce, Zhejiang Gongshang University, Hangzhou 311500, China)

  • Jianjun Yang

    (Department of Computer Science and Information Systems, University of North Georgia, Oakwood, GA 30566, USA)

Abstract
With the commitment to peaking carbon emissions by 2030 and achieving carbon neutrality by 2060, the text analysis of policies related to peak carbon emissions and carbon neutrality has become a hot research topic in China. However, current domestic and foreign research mainly focuses on the impact and enlightenment of carbon emission measurement and other aspects and rarely optimizes the road to carbon neutrality through the analysis of policy texts. Based on both domestic and international research results, this paper takes 11 central government, ministry, province, and city policies as the research object, uses the PMC index model to calculate the PMC indices of the 11 representative documents, and draws surfaces. The results indicate that nearly half of the policies have excellent scores, but some policies still have deficiencies in terms of guarantee incentives and policy coverage. Given these shortcomings, this paper proposes that the government should provide technical assistance to industrial enterprises in addition to certain subsidies to reduce the energy consumption of enterprises in production and achieve sustainable development. While popularizing and developing low-carbon technology, enterprises should pay attention to personnel training and management, and use the digital economy to empower the transition to eco-friendly production. Based on the above research, the main contributions of this paper are as follows: to make theoretical and practical preparations for carbon neutralization and to provide suggestions for optimizing policies.

Suggested Citation

  • Chenrui Lu & Bing Wang & Tinggui Chen & Jianjun Yang, 2022. "A Document Analysis of Peak Carbon Emissions and Carbon Neutrality Policies Based on a PMC Index Model in China," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9312-:d:875666
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    References listed on IDEAS

    as
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    Citations

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    Cited by:

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    2. Yan Yang & Yingli Zhang, 2022. "The Impact of the Green Credit Policy on the Short-Term and Long-Term Debt Financing of Heavily Polluting Enterprises: Based on PSM-DID Method," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    3. Jie Gao & Wu Zhang & Chunbaixue Yang & Qun Wang & Rui Yuan & Rui Wang & Limiao Zhang & Zhijian Li & Xiaoli Luo, 2023. "A Comparative Study of China’s Carbon Neutrality Policy and International Research Keywords under the Background of Decarbonization Plans in China," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    4. Xinwen Lin & Angathevar Baskaran & Yajie Zhang, 2023. "Watershed Horizontal Ecological Compensation Policy and Green Ecological City Development: Spatial and Mechanism Assessment," IJERPH, MDPI, vol. 20(3), pages 1-21, February.
    5. Ying Zhao & Lin Wu, 2022. "Research on Emergency Response Policy for Public Health Emergencies in China—Based on Content Analysis of Policy Text and PMC-Index Model," IJERPH, MDPI, vol. 19(19), pages 1-23, October.
    6. Zhenxing Wang & Yunjun Yu & Kallol Roy & Cheng Gao & Lei Huang, 2023. "The Application of Machine Learning: Controlling the Preparation of Environmental Materials and Carbon Neutrality," IJERPH, MDPI, vol. 20(3), pages 1-4, January.
    7. Yongmin Shang & Guoqing Lyu & Zefeng Mi, 2022. "Green Technology Transfer, Environmental Regulation, and Regional Green Development Chasm: Based on the Empirical Evidence from Yangtze River Delta," IJERPH, MDPI, vol. 19(21), pages 1-22, October.

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