IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i7d10.1007_s10668-023-03331-9.html
   My bibliography  Save this article

Is producer services agglomeration a “new engine” for urban green economic development? an econometric analysis of Chinese cities

Author

Listed:
  • Jinling Yan

    (Xinjiang Institute of Technology
    Xinjiang University
    Center for Innovation Management Research of Xinjiang)

  • Junfeng Zhao

    (Xinjiang University
    Chongqing Technology and Business University
    Center for Innovation Management Research of Xinjiang)

  • Xiaodong Yang

    (Xinjiang Institute of Technology
    Xinjiang University
    Center for Innovation Management Research of Xinjiang)

  • Zhimeng Zhu

    (Xinjiang Institute of Technology
    Xinjiang University)

  • Qiying Ran

    (Center for Innovation Management Research of Xinjiang
    Shanghai Business School)

Abstract

Green economic development is an effective tactic for China to cope with the predicament of resources and the environment. As “smoke-free industries”, producer services are becoming the main contributors to urban green economic development (UGED). The paper adopts the super-efficiency EBM model to estimate the UGED index of 268 Chinese cities from 2005 to 2019. Based on the theoretical analysis, econometric models are constructed to systematically test how the specialized and diversified agglomeration of producer services impacts UGED. The findings reveal that both agglomeration modes considerably enhance UGED in the local area and its surroundings. Diversified agglomeration exerts a stronger radiation and promotion effect than specialized agglomeration. In addition, the impact of the two agglomeration modes on UGED demonstrates pronounced heterogeneity in urban scales, economic development stages, and industries. Furthermore, mechanism studies suggest that agglomeration substantially boosts UGED by improving human capital, technological innovation, and upgrading industrial structure. As such, our findings serve as an empirical basis for understanding the mechanism of the impact of PSA on UGED and also offer significant insight for local governments to adopt differentiated industrial policies to enhance the positive agglomeration effect on UGED.

Suggested Citation

  • Jinling Yan & Junfeng Zhao & Xiaodong Yang & Zhimeng Zhu & Qiying Ran, 2024. "Is producer services agglomeration a “new engine” for urban green economic development? an econometric analysis of Chinese cities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17157-17183, July.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03331-9
    DOI: 10.1007/s10668-023-03331-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03331-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-023-03331-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Paul Krugman & Anthony J. Venables, 1995. "Globalization and the Inequality of Nations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 857-880.
    3. Eswaran, Mukesh & Kotwal, Ashok, 2002. "The role of the service sector in the process of industrialization," Journal of Development Economics, Elsevier, vol. 68(2), pages 401-420, August.
    4. Duranton, Gilles & Puga, Diego, 2005. "From sectoral to functional urban specialisation," Journal of Urban Economics, Elsevier, vol. 57(2), pages 343-370, March.
    5. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    6. Siyu Ren & Zhiyuan Liu & Zhiyuan Liu & Mingyue Du, 2022. "Does the internet development put pressure on energy-saving potential for environmental sustainability? Evidence from China," Journal of Economic Analysis, Anser Press, vol. 1(1), pages 50-65, September.
    7. Wu, Jie & Ma, Zhenzhong & Liu, Zhiyang, 2019. "The moderated mediating effect of international diversification, technological capability, and market orientation on emerging market firms' new product performance," Journal of Business Research, Elsevier, vol. 99(C), pages 524-533.
    8. Alwyn Young, 2003. "Gold into Base Metals: Productivity Growth in the People's Republic of China during the Reform Period," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1220-1261, December.
    9. Peter Wood, 2006. "Urban Development and Knowledge‐Intensive Business Services: Too Many Unanswered Questions?," Growth and Change, Wiley Blackwell, vol. 37(3), pages 335-361, September.
    10. Talberth, John & Bohara, Alok K., 2006. "Economic openness and green GDP," Ecological Economics, Elsevier, vol. 58(4), pages 743-758, July.
    11. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    12. Wang, Shuhong & Zhao, Danqing & Chen, Hanxue, 2020. "Government corruption, resource misallocation, and ecological efficiency," Energy Economics, Elsevier, vol. 85(C).
    13. Sinha, Avik & Sengupta, Tuhin & Alvarado, Rafael, 2020. "Interplay between Technological Innovation and Environmental Quality: Formulating the SDG Policies for Next 11 Economies," MPRA Paper 104247, University Library of Munich, Germany, revised 2020.
    14. Zhao, Junfeng & Yan, Jinling & Ran, Qiying & Yang, Xiaodong & Su, Xufeng & Shen, Jianliang, 2022. "Does the opening of high-speed railways improve urban livability? Evidence from a quasi-natural experiment in China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    15. Lin, Boqiang & Zhou, Yicheng, 2022. "Measuring the green economic growth in China: Influencing factors and policy perspectives," Energy, Elsevier, vol. 241(C).
    16. Demena, Binyam Afewerk & Afesorgbor, Sylvanus Kwaku, 2020. "The effect of FDI on environmental emissions: Evidence from a meta-analysis," Energy Policy, Elsevier, vol. 138(C).
    17. Shanzi Ke & Ming He & Chenhua Yuan, 2014. "Synergy and Co-agglomeration of Producer Services and Manufacturing: A Panel Data Analysis of Chinese Cities," Regional Studies, Taylor & Francis Journals, vol. 48(11), pages 1829-1841, November.
    18. Zhao, Hongli & Lin, Boqiang, 2019. "Will agglomeration improve the energy efficiency in China’s textile industry: Evidence and policy implications," Applied Energy, Elsevier, vol. 237(C), pages 326-337.
    19. Udemba, Edmund Ntom & Yalçıntaş, Selin, 2021. "Interacting force of foreign direct invest (FDI), natural resource and economic growth in determining environmental performance: A nonlinear autoregressive distributed lag (NARDL) approach," Resources Policy, Elsevier, vol. 73(C).
    20. Li, Xiaoyan & Xu, Hengzhou, 2020. "The Energy-conservation and Emission-reduction Paths of Industrial sectors: Evidence from Chinas 35 industrial sectors," Energy Economics, Elsevier, vol. 86(C).
    21. Zhang, Yonggang & Dilanchiev, Azer, 2022. "Economic recovery, industrial structure and natural resource utilization efficiency in China: Effect on green economic recovery," Resources Policy, Elsevier, vol. 79(C).
    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. Chen, Xu & Xu, Huilin & Zhang, Liang & Cao, Huiping, 2022. "Spatial functional division, infrastructure and carbon emissions: Evidence from China," Energy, Elsevier, vol. 256(C).
    2. Zhang, Songlin & Miao, Xuaner & Zheng, Haoqing & Chen, Weihong & Wang, Huafeng, 2024. "Spatial functional division in urban agglomerations and carbon emission intensity: New evidence from 19 urban agglomerations in China," Energy, Elsevier, vol. 300(C).
    3. Mei Song & Yujin Gao & Furong Dong & Yunan Feng, 2023. "Research on the Spatial Spillover Effect of Industrial Agglomeration on the Economic Growth in the Yellow River Basin," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    4. Chen, Xu & Chen, Xueli & Song, Malin, 2021. "Polycentric agglomeration, market integration and green economic efficiency," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 185-197.
    5. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    6. Wilman-Santiago Ochoa-Moreno & Byron Alejandro Quito & Carlos Andrés Moreno-Hurtado, 2021. "Foreign Direct Investment and Environmental Quality: Revisiting the EKC in Latin American Countries," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    7. Haochang Yang & Faming Zhang & Yixin He, 2021. "Exploring the effect of producer services and manufacturing industrial co-agglomeration on the ecological environment pollution control in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16119-16144, November.
    8. Pierre Philippe Combes & Gilles Duranton & Henry G. Overman, 2005. "Agglomeration and the adjustment of the spatial economy§," Papers in Regional Science, Wiley Blackwell, vol. 84(3), pages 311-349, August.
    9. Nicole Litzel & Joachim Möller, 2011. "Industrial Clusters and Economic Integration: Theoretic Concepts and an Application to the European Metropolitan Region Nuremberg," Chapters, in: Miroslav N. Jovanović (ed.), International Handbook on the Economics of Integration, Volume II, chapter 12, Edward Elgar Publishing.
    10. Appiah, Michael & Li, Mingxing & Sehrish, Saba & Abaji, Emad Eddin, 2023. "Investigating the connections between innovation, natural resource extraction, and environmental pollution in OECD nations; examining the role of capital formation," Resources Policy, Elsevier, vol. 81(C).
    11. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    12. Qin, Quande & Yu, Ying & Liu, Yuan & Zhou, Jianqing & Chen, Xiude, 2023. "Industrial agglomeration and energy efficiency: A new perspective from market integration," Energy Policy, Elsevier, vol. 183(C).
    13. Du, Mengfan & Zhang, Yue-Jun, 2023. "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, vol. 124(C).
    14. Peng, Hui & Lu, Yaobin & Wang, Qunwei, 2023. "How does heterogeneous industrial agglomeration affect the total factor energy efficiency of China's digital economy," Energy, Elsevier, vol. 268(C).
    15. Wang, Bin & Yu, Minxiu & Zhu, Yucheng & Bao, Pinjuan, 2021. "Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective," Energy Policy, Elsevier, vol. 158(C).
    16. Xie, Xiaoyu & Guo, Kaige, 2024. "How does productive service agglomeration promote manufacturing servitisation from an innovation perspective?," International Review of Financial Analysis, Elsevier, vol. 92(C).
    17. Junsong Wang & Yehua Dennis Wei & Bingquan Lin, 2021. "Functional division and location choices of Chinese outward FDI: The case of ICT firms," Environment and Planning A, , vol. 53(5), pages 937-957, August.
    18. Kristian Behrens & Frédéric Robert‐Nicoud, 2009. "Krugman's Papers in Regional Science: The 100 dollar bill on the sidewalk is gone and the 2008 Nobel Prize well‐deserved," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 467-489, June.
    19. Yizhou Wu & Peilei Fan & Heyuan You, 2018. "Spatial Evolution of Producer Service Sectors and Its Influencing Factors in Cities: A Case Study of Hangzhou, China," Sustainability, MDPI, vol. 10(4), pages 1-23, March.
    20. Stef Proost & Jacques-François Thisse, 2019. "What Can Be Learned from Spatial Economics?," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 575-643, 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:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03331-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.