IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p2125-d1351052.html
   My bibliography  Save this article

How Does Diversification of Producer Services Agglomeration Help Reduce Carbon Emissions Intensity? Evidence from 252 Chinese Cities, 2005–2018

Author

Listed:
  • Langsha Luo

    (School of Marxism, Central University of Finance and Economics, Beijing 100081, China)

  • Tianyu Bi

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Haochen Yu

    (College of Economics and Management, Qingdao University of Science and Technology, Qingdao 266061, China)

Abstract

Mitigating carbon emissions intensity (CEI) and promoting carbon neutrality at the city level are essential for addressing the challenges of global climate change and advancing sustainable development. This study examines the influence of producer services agglomeration diversification (PSAD) on CEI using an unbalanced panel dataset including 252 Chinese prefectural-level cities from 2005 to 2018 for empirical analyses. We find that improving PSAD in a city can significantly mitigate CEI. Stronger PSAD accelerates a city’s industrial structure transformation from secondary- to tertiary-dominated in addition to boosting green development capabilities, both of which are confirmed to have concrete carbon emissions reduction effects. Furthermore, PSAD only significantly alleviates CEI in non-eastern cities in China, and the benefits of carbon emissions reduction are stronger after 2010. Our policy insights highlight land utilization in shaping the intracity layouts of producer services agglomerations (PSAs) and stress regional-level measures. Recognizing regional differences and integrating PSAs allocation with broader institutional measures can amplify PSAD’s benefits.

Suggested Citation

  • Langsha Luo & Tianyu Bi & Haochen Yu, 2024. "How Does Diversification of Producer Services Agglomeration Help Reduce Carbon Emissions Intensity? Evidence from 252 Chinese Cities, 2005–2018," Sustainability, MDPI, vol. 16(5), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2125-:d:1351052
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/2125/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/5/2125/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Jun & Dong, Xiucheng & Dong, Kangyin, 2021. "How does producer services’ agglomeration promote carbon reduction?: The case of China," Economic Modelling, Elsevier, vol. 104(C).
    2. Olga Alonso-Villar & José-María Chamorro-Rivas, 2001. "How do Producer Services Affect the Location of Manufacturing Firms? The Role of Information Accessibility," Environment and Planning A, , vol. 33(9), pages 1621-1642, September.
    3. Cole, Matthew A. & Elliott, Robert J.R. & Wu, Shanshan, 2008. "Industrial activity and the environment in China: An industry-level analysis," China Economic Review, Elsevier, vol. 19(3), pages 393-408, September.
    4. Zhang, Pingdan & Yuan, Haoming & Bai, Fuli & Tian, Xin & Shi, Feng, 2018. "How do carbon dioxide emissions respond to industrial structural transitions? Empirical results from the northeastern provinces of China," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 145-154.
    5. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    6. repec:eco:journ2:2017-04-23 is not listed on IDEAS
    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. Han, Yonghui & Zhang, Fan & Huang, Liangxiong & Peng, Keming & Wang, Xianbin, 2021. "Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence," Energy Policy, Elsevier, vol. 154(C).
    2. Weidong Sun & Zhigang Chen & Danyang Wang, 2019. "Can Land Marketization Help Reduce Industrial Pollution?," IJERPH, MDPI, vol. 16(12), pages 1-16, June.
    3. Wu, Linfei & Sun, Liwen & Qi, Peixiao & Ren, Xiangwei & Sun, Xiaoting, 2021. "Energy endowment, industrial structure upgrading, and CO2 emissions in China: Revisiting resource curse in the context of carbon emissions," Resources Policy, Elsevier, vol. 74(C).
    4. Wang, Feng & Sun, Xiaoyu & Reiner, David M. & Wu, Min, 2020. "Changing trends of the elasticity of China's carbon emission intensity to industry structure and energy efficiency," Energy Economics, Elsevier, vol. 86(C).
    5. Zhao, Jun & Dong, Xiucheng & Dong, Kangyin, 2021. "How does producer services’ agglomeration promote carbon reduction?: The case of China," Economic Modelling, Elsevier, vol. 104(C).
    6. Shoufu Yang & Hanhui Zhao & Yiming Chen & Zitian Fu & Chaohao Sun & Tsangyao Chang, 2023. "The Impact of Digital Enterprise Agglomeration on Carbon Intensity: A Study Based on the Extended Spatial STIRPAT Model," Sustainability, MDPI, vol. 15(12), pages 1-33, June.
    7. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    8. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    9. Matthew A. Cole & Robert J.R. Elliott & Jing Zhang, 2011. "Growth, Foreign Direct Investment, And The Environment: Evidence From Chinese Cities," Journal of Regional Science, Wiley Blackwell, vol. 51(1), pages 121-138, February.
    10. Bu, Yan & Wang, Erda & Möst, Dominik & Lieberwirth, Martin, 2022. "How population migration affects carbon emissions in China: Factual and counterfactual scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    11. Karine Constant & Marion Davin, 2019. "Unequal Vulnerability to Climate Change and the Transmission of Adverse Effects Through International Trade," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 727-759, October.
    12. Dana C. Andersen, 2016. "Credit Constraints, Technology Upgrading, and the Environment," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(2), pages 283-319.
    13. Brucal, Arlan & Javorcik, Beata & Love, Inessa, 2019. "Good for the environment, good for business: Foreign acquisitions and energy intensity," Journal of International Economics, Elsevier, vol. 121(C).
    14. Larivière, Jean-Michel & He, Jie, 2012. "L’impact de la taille des firmes industrielles sur la courbe de Kuznets environnementale : le cas des émissions de SO2 en Chine," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 5-36, mars.
    15. Feng Liu & Kangning Xu & Meina Zheng, 2018. "The Effect of Environmental Regulation on Employment in China: Empirical Research Based on Individual-Level Data," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    16. Songping Zhu & Gaofeng Yu, 2022. "The Impact of Economic Policy Uncertainty on Industrial Output: The Regulatory Role of Technological Progress," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    17. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    18. Ke Liu & Xinyue Xie & Mingxue Zhao & Qian Zhou, 2022. "Carbon Emissions in the Yellow River Basin: Analysis of Spatiotemporal Evolution Characteristics and Influencing Factors Based on a Logarithmic Mean Divisia Index (LMDI) Decomposition Method," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    19. Jiachen Ning & Pingyu Zhang & Qifeng Yang & Zuopeng Ma, 2023. "Spatial Pattern of Farmland Transfer in Liaoning Province, China," Agriculture, MDPI, vol. 13(7), pages 1-19, July.
    20. Sun, Hongye & Kim, Giseung, 2021. "The composite impact of ICT industry on lowering carbon intensity: From the perspective of regional heterogeneity," Technology in Society, Elsevier, vol. 66(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:5:p:2125-:d:1351052. 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.