IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10785-d1539774.html
   My bibliography  Save this article

Research on Industrial CO 2 Emission Intensity and Its Driving Mechanism Under China’s Dual Carbon Target

Author

Listed:
  • Jinfang Sun

    (College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Wenkai Li

    (College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Kaixiang Zhu

    (College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Mengqi Zhang

    (College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Haihao Yu

    (College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Xiaoyu Wang

    (College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Guodong Liu

    (College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

Abstract

As global climate change becomes increasingly severe, industrial CO 2 emissions have received increasing attention, but the impact factors and driving mechanisms of industrial CO 2 emission intensity remain unclear. Based on panel data from 2010 to 2021 in Shandong Province, a key economic region in eastern China, the industrial CO 2 emission intensity under China’s dual carbon target was analyzed using multivariate ordination methods. The results showed that (1) total CO 2 emissions from industry are increasing annually, with an average growth rate of 3.74%, and electricity, coal, and coke are the primary sources of CO 2 emissions. (2) Total CO 2 emissions originated primarily from the heavy manufacturing, energy production, and high energy intensity industry categories, and the CO 2 emission intensity of different types of energy increased by 21.24% from 2010 to 2021. (3) CO 2 emission intensity is significantly positively correlated with the proportion of high energy intensive industry, energy consumption intensity, and investment intensity and significantly negatively correlated with gross industrial output. In addition, the effects of different types of energy on industrial CO 2 emission intensity varied, and coal, coke, electricity, and diesel oil were significantly positively correlated with CO 2 emission intensity. Therefore, to reduce the CO 2 emission intensity of the industrial sector in the future and to achieve China’s dual carbon target, it is necessary to adjust and optimize the industrial and energy structure, strengthen technological progress and innovation, improve energy utilization efficiency, improve and implement relevant policies for industrial carbon reduction, and then ensure the sustainable development of the economy, society, and environment.

Suggested Citation

  • Jinfang Sun & Wenkai Li & Kaixiang Zhu & Mengqi Zhang & Haihao Yu & Xiaoyu Wang & Guodong Liu, 2024. "Research on Industrial CO 2 Emission Intensity and Its Driving Mechanism Under China’s Dual Carbon Target," Sustainability, MDPI, vol. 16(23), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10785-:d:1539774
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10785/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/23/10785/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    2. Beibei Shi & Lei Wu & Rong Kang, 2021. "Clean Development, Energy Substitution, and Carbon Emissions: Evidence from Clean Development Mechanism (CDM) Project Implementation in China," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    3. Xiaoyi Wen & Shangjiu Wang & Shaoyong Li & Liang Cheng & Keqiang Li & Qing Zheng & Baoreng Zhang, 2024. "Impact Factors of Industrial Pollution and Carbon Reduction under the “Dual Carbon” Target: A Case Study of Urban Aggregation in the Pearl River Delta and Yangtze River Delta," Sustainability, MDPI, vol. 16(5), pages 1-16, February.
    4. Lin, Boqiang & Xu, Bin, 2020. "Effective ways to reduce CO2 emissions from China's heavy industry? Evidence from semiparametric regression models," Energy Economics, Elsevier, vol. 92(C).
    5. Tianmiao Guo & Jian Li & Fengyue Gao & Shuhua Zhang, 2023. "Examining the Impact of Market Segmentation on Carbon Emission Intensity in China," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    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. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    2. Adedayo Johnson Ogungbile & Geoffrey Qiping Shen & Ibrahim Yahaya Wuni & Jin Xue & Jingke Hong, 2021. "A Hybrid Framework for Direct CO 2 Emissions Quantification in China’s Construction Sector," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    3. Xie, Qichang & Ma, Di & Raza, Muhammad Yousaf & Tang, Songlin & Bai, Dingchuan, 2023. "Toward carbon peaking and neutralization: The heterogeneous stochastic convergence of CO2 emissions and the role of digital inclusive finance," Energy Economics, Elsevier, vol. 125(C).
    4. Li, Shuqi & Xu, Nuo, 2024. "Fair Competition Review System and cross-regional capital flow: Evidence from China," Finance Research Letters, Elsevier, vol. 70(C).
    5. Lin, Boqiang & Raza, Muhammad Yousaf, 2021. "Analysis of electricity consumption in Pakistan using index decomposition and decoupling approach," Energy, Elsevier, vol. 214(C).
    6. Liu, Yang & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing energy vulnerability and its impact on carbon emissions: A global case," Energy Economics, Elsevier, vol. 119(C).
    7. Cui, Yanfang & Li, Li & Lei, Yalin & Wu, Sanmang & Wang, Zengchuan, 2024. "The decoupling effect of CO2 emissions and economic growth in China's iron and steel industry and its influencing factors," Resources Policy, Elsevier, vol. 97(C).
    8. Liu, Zhen & Diao, Ziyu & Lu, Yuan, 2024. "Can the opening of high-speed rail boost the reduction of air pollution and carbon emissions? Quasi-experimental evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    9. Zhang, Weipan & Wu, Xianhua & Chen, Jihong, 2024. "Low-carbon efficiency analysis of rail-water multimodal transport based on cross efficiency network DEA approach," Energy, Elsevier, vol. 305(C).
    10. Sheng, Pengfei & Li, Jun & Zhai, Mengxin & Huang, Shoujun, 2020. "Coupling of economic growth and reduction in carbon emissions at the efficiency level: Evidence from China," Energy, Elsevier, vol. 213(C).
    11. Zhen Liu & Trong Lam Vu & Thi Thu Hien Phan & Thanh Quang Ngo & Nguyen Ho Viet Anh & Ahmad Romadhoni Surya Putra, 2022. "Financial inclusion and green economic performance for energy efficiency finance," Economic Change and Restructuring, Springer, vol. 55(4), pages 2359-2389, November.
    12. Bamadev Mahapatra & Mohd Irfan, 2024. "Asymmetric adjustments between energy and labour efficiencies in India: new evidence using sectoral panel data analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3921-3948, August.
    13. Yang, Xue & Xu, He & Su, Bin, 2022. "Factor decomposition for global and national aggregate energy intensity change during 2000–2014," Energy, Elsevier, vol. 254(PB).
    14. Xie, Pinjie & Gong, Ningyu & Sun, Feihu & Li, Pin & Pan, Xianyou, 2023. "What factors contribute to the extent of decoupling economic growth and energy carbon emissions in China?," Energy Policy, Elsevier, vol. 173(C).
    15. Weiguo Fan & Mengmeng Meng & Jianchang Lu & Xiaobin Dong & Hejie Wei & Xuechao Wang & Qing Zhang, 2020. "Decoupling Elasticity and Driving Factors of Energy Consumption and Economic Development in the Qinghai-Tibet Plateau," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    16. Goh, Tian & Zhong, Sheng & Ang, B.W. & Su, Bin & Ng, Szu Hui & Chai, Kah-Hin, 2021. "Driving factors of changes in international maritime energy consumption: Microdata evidence 2014–2017," Energy Policy, Elsevier, vol. 154(C).
    17. Mahapatra, Bamadev & Irfan, Mohd, 2021. "Asymmetric impacts of energy efficiency on carbon emissions: A comparative analysis between developed and developing economies," Energy, Elsevier, vol. 227(C).
    18. Jiang, Meizhi & Wang, Benmei & Hao, Yingjun & Chen, Shijun & Wen, Yuanqiao & Yang, Zaili, 2024. "Quantification of CO2 emissions in transportation: An empirical analysis by modal shift from road to waterway transport in Zhejiang, China," Transport Policy, Elsevier, vol. 145(C), pages 177-186.
    19. Zou, Weitao & Li, Jianwei & Yang, Qingqing & Wan, Xinming & He, Yuntang & Lan, Hao, 2023. "A real-time energy management approach with fuel cell and battery competition-synergy control for the fuel cell vehicle," Applied Energy, Elsevier, vol. 334(C).
    20. Liqiang Chen & Ming Gao, 2020. "The effects of three types of China's official turnover on air quality: A regression discontinuity study," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1081-1101, September.

    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:23:p:10785-:d:1539774. 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.