Skip to main content
SpringerLink
Log in

Research on the Impact of Producer Services Industry Agglomeration on the High Quality Development of Urban Agglomerations in the Yangtze River Economic Belt

  • Conference paper
  • First Online:
Services – SERVICES 2021 (SERVICES 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12996))

Included in the following conference series:

Abstract

This paper uses the green total factor productivity (GTFP) to measure the level of high-quality economic development, and uses the partial Durbin model and Partial differential method for spatial regression model to explore the impact of producer service industry agglomeration on high-quality economic development and its sources. This paper analyzes the heterogeneity effect of producer services specialized agglomeration and diversified agglomeration on high-quality economic development in Chengdu Chongqing three urban agglomerations, and empirically tests the local direct effect and intercity indirect effect of producer services agglomeration on high-quality economic development in urban agglomerations. Based on the empirical results, this paper discusses the mode selection and policy recommendations of industrial agglomeration of producer services to promote the high-quality economic development of urban agglomeration.

Fund Project: ShenZhen Institute of information technology, school level doctoral program of Social Sciences–Research on the high quality development of ShenZhen industrial system under the new development pattern of double cycle, SZIIT2021SK010.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    GTFP considers “energy consumption” and “environmental pollution”, Scientific integration of innovation driven and green development concept, relative to total factor productivity (TFP), can better reflect the requirements of high-quality economic development in the new era.

References

  • Sun, B., Ding, S.: Is big city beneficial to the economic growth of small city: evidence from the Yangtze River Delta urban agglomeration. Geograph. Res. 35(9), 1615–1625 (2016)

    Google Scholar 

  • Mei, Z., Xu, S., Ou, Y., et al.: Spatiotemporal evolution of urban spatial interaction in Pearl River Delta Urban Agglomeration in recent 20 years. Geoscience 32(6), 694–701 (2012)

    Google Scholar 

  • Ke, S., Xia, J.: Agglomeration effect and backflow effect of Central Plains urban agglomeration. China Soft Sci. (10), 93–103 (2010)

    Google Scholar 

  • Sun, D., Zhang, J., Hu, Y., et al.: Analysis of the formation mechanism of “metropolitan shadow area” based on industrial spatial connection – a comparative study of Yangtze River Delta urban agglomeration and Beijing Tianjin Hebei urban agglomeration. Geograph. Sci. 33(9), 1043–1050 (2013)

    Google Scholar 

  • Wang, T., Zeng, J.: Spatial pattern analysis of intercity competition and cooperation of urban agglomeration in the middle reaches of the Yangtze River – based on the perspective of urban competitiveness and spatial interaction. Trop. Geograp. 34(3), 390–398 (2014)

    Google Scholar 

  • Zhang, X., Chen, S., Liao, C., et al.: Spatial spillover effect of economic development in Beijing Tianjin Hebei region. Geograph. Res. 35(9), 1753–1766 (2016)

    Google Scholar 

  • Yu, Y., Gao, X., Wei, P.: The impact of producer services agglomeration on the high quality economic development of urban agglomerations: a case study of the three major urban agglomerations in the Yangtze River economic belt. Urban Probl. (7), 56–66 (2020)

    Google Scholar 

  • Chen, A., Partridge, M.D.: When are cities engines of growth in China? Spread and backwash effects across the urban hierarchy. Reg. Stud. 47(8), 1313–1331 (2013)

    Article  Google Scholar 

  • Wang, F., Xie, J.: A study on the growth rate of green total factor productivity of provinces in China. China Popul. Sci. (2), 53–62 (2015)

    Google Scholar 

  • Li, B., Qi, Y., Li, Q.: Fiscal decentralization, FDI and green total factor productivity: an empirical test based on panel data dynamic GMM method. Int. Trade Issues (7), 119–129 (2016)

    Google Scholar 

  • Zhang, J., Tan, W.: Study on the green total factor productivity in main cities of China. Proc. Rijeka Sch. Econ. 34(1), 215–234 (2016)

    Google Scholar 

  • Liu, H., Li, C., Peng, Y.: Research on the regional gap and regional collaborative improvement of green total factor productivity in China. China Popul. Sci. (4), 32–43 (2018)

    Google Scholar 

  • Zheng, Q.: The impact of urbanization on green total factor productivity – an analysis based on the threshold effect of public expenditure. Urban Issues (3), 48–56 (2018)

    Google Scholar 

  • Li, M., Wang, J.: The quality of foreign direct investment and the growth of green total factor productivity in China. Soft Sci. 33(9), 13–20 (2019)

    Google Scholar 

  • Jin, B.: Economic research on “high quality development”. China's Ind. Econ. (4), 5–18 (2018)

    Google Scholar 

  • Ma, R., Luo, H., Wang, H., Wang, T.: Research on evaluation index system and measurement of high quality development of regional economy in China. China Soft Sci. (7), 60–67 (2019)

    Google Scholar 

  • Liu, S., Zhang, S., Zhu, H.: Measurement of national innovation driving force and its effect on high-quality economic development. Res. Quant. Econ. Technol. Econ. (4), 3–23 (2019)

    Google Scholar 

  • Zhang, Y., Dong, Q., Ni min.: Differentiation between the development of service industry and “structural slowdown” –also on building a modern economic system with high quality development. Econ. Trends (2), 23–35 (2018)

    Google Scholar 

  • Li, H., Shi, J.F.: Energy efficiency analysis on Chinese industrial sectors: an improved super - SBM model with undesirable outputs. J. Clean. Prod. (65), 97–107 (2014)

    Google Scholar 

  • Shan, H.: Re estimation of China's capital stock K: 1952–2006. Res. Quant. Econ. Technol. Econ. (10), 17–31 (2008)

    Google Scholar 

  • Hall, R.E., Jones, C.I.: Why do some countries produce so much more output per worker than others? Q. J. Econ. 144(1), 83–116 (1999)

    Article  Google Scholar 

  • Tu, Z.: Coordination of environment, resources and industrial growth. Econ. Res. (2), 93–105 (2008)

    Google Scholar 

  • Duranton, G., Puga, D.: Diversity and specialization in cities: why, where and when does it matter? Urban Stud. (3), 533–555 (1999)

    Google Scholar 

  • Ke, S., Ming, H., Yuan, C.: Synergy and co - agglomeration of producer services and manufacturing: a panel data analysis of Chinese cities. Reg. Stud. 48(11), 1829–1841 (2014)

    Article  Google Scholar 

  • Xi, Q., Chen, X., Li, G.: Research on the mode selection of China's Urban Producer Services – guided by the improvement of industrial efficiency. China's Ind. Econ. (2), 18–30 (2015)

    Google Scholar 

  • Keller, W.: Geographic localization of international technology diffusion. Am. Econ. Rev. 92(1), 120–142 (2002)

    Article  Google Scholar 

  • Elhorst, J.P.: Applied spatial econometrics: raising the bar. Spat. Econ. Anal. 5(1), 9–28 (2010)

    Article  Google Scholar 

  • LeSage, J., Pace, R.K.: Introduction to Spatial Econometrics, pp. 34–48. CRC Press, Taylor & Francis Group (2009)

    Google Scholar 

  • Liu, Y., Xia, J., Li, Y.: Agglomeration of producer services and upgrading of manufacturing industry. China’s Ind. Econ. 35(7), 24 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ShenZhen Institute of Information Technology, Shenzhen, 517000, China

    Jinhong Xu & Yi Li

Authors
  1. Jinhong Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. United Arab Emirates University, Al Ain, United Arab Emirates

    Mohamed Adel Serhani

  2. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, J., Li, Y. (2022). Research on the Impact of Producer Services Industry Agglomeration on the High Quality Development of Urban Agglomerations in the Yangtze River Economic Belt. In: Serhani, M.A., Zhang, LJ. (eds) Services – SERVICES 2021. SERVICES 2021. Lecture Notes in Computer Science(), vol 12996. Springer, Cham. https://doi.org/10.1007/978-3-030-96585-3_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-96585-3_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96584-6

  • Online ISBN: 978-3-030-96585-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation