IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i6p2478-d1358172.html
   My bibliography  Save this article

The Influencing Factors of Carbon Emissions in the Industrial Sector: Empirical Analysis Based on a Spatial Econometric Model

Author

Listed:
  • Pinjie Xie

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Yue Lu

    (School of Economics and Management, Shanghai University of Electric Power, Shanghai 201306, China)

  • Yuwen Xie

    (Zhanjiang Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhanjiang 524000, China)

Abstract

To promote the low-carbon, high-quality development of China’s industrial sector and achieve the national carbon peak goal as soon as possible, this study explores the influencing factors of carbon emissions among industrial sectors. Based on the panel data of 36 industrial sectors in China from 2009 to 2021, the spatial effects and characteristics of industrial sectors are examined by the spatial Durbin model (SDM) based on analyzing the spatial correlation among industrial sectors. The results show the following: (1) Moran’s I statistical results show that China’s industrial carbon emissions have a strong positive spatial correlation, and with time, the spatial correlation between industrial sectors gradually increases. (2) The empirical results of the whole industrial sector show that the property rights structure, capital intensity, and energy structure are the main driving forces promoting carbon emission reduction; the grouping analysis results show that the impact of FDI and property rights structure on the carbon emissions of the industrial sector in different sample groups is different. Among them, the energy structure and research and development play a role in reducing carbon emissions in each sample group. (3) Therefore, in the future, to reduce carbon emissions in the industrial sector, it is necessary to inhibit growth factors and promote the role of reduction factors; optimizing the energy structure and improving the rationality of the property rights structure are effective ways to achieve energy conservation and emission reduction.

Suggested Citation

  • Pinjie Xie & Yue Lu & Yuwen Xie, 2024. "The Influencing Factors of Carbon Emissions in the Industrial Sector: Empirical Analysis Based on a Spatial Econometric Model," Sustainability, MDPI, vol. 16(6), pages 1-24, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2478-:d:1358172
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/6/2478/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/6/2478/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sonia Ben Kheder & Natalia Zugravu, 2008. "The pollution haven hypothesis: a geographic economy model in a comparative study," Documents de travail du Centre d'Economie de la Sorbonne v08083, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    2. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    3. Shao, Shuai & Liu, Jianghua & Geng, Yong & Miao, Zhuang & Yang, Yingchun, 2016. "Uncovering driving factors of carbon emissions from China’s mining sector," Applied Energy, Elsevier, vol. 166(C), pages 220-238.
    4. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    5. H. Damon Matthews & Nathan P. Gillett & Peter A. Stott & Kirsten Zickfeld, 2009. "The proportionality of global warming to cumulative carbon emissions," Nature, Nature, vol. 459(7248), pages 829-832, June.
    6. Lin, Boqiang & Xu, Bin, 2018. "Growth of industrial CO2 emissions in Shanghai city: Evidence from a dynamic vector autoregression analysis," Energy, Elsevier, vol. 151(C), pages 167-177.
    7. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    8. Kuishuang Feng & Yim Ling Siu & Dabo Guan & Klaus Hubacek, 2012. "Analyzing Drivers of Regional Carbon Dioxide Emissions for China," Journal of Industrial Ecology, Yale University, vol. 16(4), pages 600-611, August.
    9. Pan, Xianyou & Shen, Zhiyang & Song, Malin & Shu, Yalin, 2023. "Enhancing green technology innovation through enterprise environmental governance: A life cycle perspective with moderator analysis of dynamic innovation capability," Energy Policy, Elsevier, vol. 182(C).
    10. Pan, Xiongfeng & Wang, Yuqing & Tian, Mengyuan & Feng, Shenghan & Ai, Bowei, 2023. "Spatio-temporal impulse effect of foreign direct investment on intra- and inter-regional carbon emissions," Energy, Elsevier, vol. 262(PA).
    11. Chen, Changhua & Luo, Yuqing & Zou, Hong & Huang, Junbing, 2023. "Understanding the driving factors and finding the pathway to mitigating carbon emissions in China's Yangtze River Delta region," Energy, Elsevier, vol. 278(PB).
    12. 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).
    13. Wang, Yuan & Zhang, Chen & Lu, Aitong & Li, Li & He, Yanmin & ToJo, Junji & Zhu, Xiaodong, 2017. "A disaggregated analysis of the environmental Kuznets curve for industrial CO2 emissions in China," Applied Energy, Elsevier, vol. 190(C), pages 172-180.
    14. Zhang, Wei & Li, Guoxiang & Guo, Fanyong, 2022. "Does carbon emissions trading promote green technology innovation in China?," Applied Energy, Elsevier, vol. 315(C).
    15. Liu, Yisheng & Yang, Meng & Cheng, Feiyu & Tian, Jinzhao & Du, Zhuoqun & Song, Pengbo, 2022. "Analysis of regional differences and decomposition of carbon emissions in China based on generalized divisia index method," Energy, Elsevier, vol. 256(C).
    16. Lyu Jun & Shuang Lu & Xiang Li & Zeng Li & Chenglong Cao, 2023. "Spatio-Temporal Characteristics of Industrial Carbon Emission Efficiency and Their Impacts from Digital Economy at Chinese Prefecture-Level Cities," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    17. Yu, Xiang & Chen, Hongbo & Wang, Bo & Wang, Ran & Shan, Yuli, 2018. "Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks," Applied Energy, Elsevier, vol. 212(C), pages 1553-1562.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thi Phuong Thuy Mai & Bich Ha Dam & Thi Thuy Van Ha & Thanh Van Pho & Gia Quyen Phan & Tran Thai Ha Nguyen, 2025. "Revisiting Emissions: How Economic Structure, Financial Development, Urbanisation, Trade Openness, and Natural Resource Rent Shape CO 2 and N 2 O," Sustainability, MDPI, vol. 17(11), pages 1-22, May.

    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. Wang, Xianzhu & Huang, He & Hong, Jingke & Ni, Danfei & He, Rongxiao, 2020. "A spatiotemporal investigation of energy-driven factors in China: A region-based structural decomposition analysis," Energy, Elsevier, vol. 207(C).
    2. Hongli Zhang & Lei Shen & Shuai Zhong & Ayman Elshkaki, 2020. "Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    3. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    4. Yiyang Liu & Jue Wang, 2024. "Unlocking Sustainable Growth in Urban Agglomerations: A Case Study of Carbon Emissions Trading in China," Sustainability, MDPI, vol. 16(20), pages 1-24, October.
    5. Wang, Dan & Sun, Mili & Meng, Bo & An, Yunbi & Cheng, Wenyin & Ye, Bin, 2024. "Can carbon market efficiency promote green technology innovation for Chinese companies?," Energy, Elsevier, vol. 309(C).
    6. Yunqing Zhao & Debao Dai & Wei Shao & Liang Ye, 2024. "Can the Carbon Trading Policy Enhance Resource Allocation Efficiency?—An Analysis of the Synergistic Effect of Market Mechanism and Government Intervention," Sustainability, MDPI, vol. 16(22), pages 1-24, November.
    7. Nadiia Charkovska & Mariia Halushchak & Rostyslav Bun & Zbigniew Nahorski & Tomohiro Oda & Matthias Jonas & Petro Topylko, 2019. "A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 907-939, August.
    8. Weng, Zhixiong & Liu, Tingting & Wu, Yufeng & Cheng, Cuiyun, 2022. "Air quality improvement effect and future contributions of carbon trading pilot programs in China," Energy Policy, Elsevier, vol. 170(C).
    9. Jiang, Lei & He, Shixiong & Zhong, Zhangqi & Zhou, Haifeng & He, Lingyun, 2019. "Revisiting environmental kuznets curve for carbon dioxide emissions: The role of trade," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 245-257.
    10. Zhang, Yue-Jun & Cheng, Hao-Sen, 2021. "The impact mechanism of the ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. Xie, Pinjie & Shu, Yalin & Sun, Feihu & Li, Pin, 2024. "Decoupling economic development from carbon emissions: Insights from Chinese provinces," Energy, Elsevier, vol. 308(C).
    12. Zhang, Xinhua & Zhang, Qianqian & Dai, Zhifeng & Zhang, Xiaotong, 2023. "The impact of carbon markets on the financial performance of power producers: Evidence based on China," Energy Economics, Elsevier, vol. 127(PA).
    13. Tian, Lingyue & Chai, Jian & Zhang, Xiaokong & Pan, Yue, 2024. "Spatiotemporal evolution and driving factors of China's carbon footprint pressure: Based on vegetation carbon sequestration and LMDI decomposition," Energy, Elsevier, vol. 310(C).
    14. Yang Ding & Qing Yang & Lanjuan Cao, 2021. "Examining the Impacts of Economic, Social, and Environmental Factors on the Relationship between Urbanization and CO 2 Emissions," Energies, MDPI, vol. 14(21), pages 1-23, November.
    15. Liu, Feng & Zheng, Meina & Wang, Meichang & Jin, Yanqi, 2025. "Do emission trading schemes induce green FDI? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 101(C).
    16. Na Yu & Jianghua Chen & Lei Cheng, 2022. "Evolutionary Game Analysis of Carbon Emission Reduction between Government and Enterprises under Carbon Quota Trading Policy," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    17. Shangjiu Wang & Shaohua Zhang & Liang Cheng, 2023. "Drivers and Decoupling Effects of PM 2.5 Emissions in China: An Application of the Generalized Divisia Index," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    18. Luyao Xu & Hui Sun, 2024. "Study on the Impact of Carbon Emission Trading Pilot on Green Land Use Efficiency in Cities," Land, MDPI, vol. 13(4), pages 1-21, April.
    19. Wang, Bo & Gong, Siyu & Yang, Yang, 2024. "Unveiling the relation between digital technology and low-carbon innovation: Carbon emission trading policy as an antecedent," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    20. Xie, Pinjie & Guo, Weinan & Lin, Xinyi & Shu, Yalin & Sun, Feihu & Huang, Bin, 2025. "Study on the measurement of interprovincial carbon emission performance, regional gaps, and spatial convergence in China," Energy, Elsevier, vol. 317(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:6:p:2478-:d:1358172. 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.