IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v42y2021ics1544612321000167.html
   My bibliography  Save this article

Do regional financial resources affect the concentration of high-end service industries in Chinese cities?

Author

Listed:
  • Wu, Dailong
  • Tong, Xin
  • Liu, Liping
  • Wang, Joe

Abstract

Using data from 285 prefecture-level cities in China from 2005–2016, this paper investigates the impact of regional financial resources on high-end service industry agglomeration through spatial error and threshold models. The results show that the high-end service industry agglomeration has a significant spatial correlation. Financial resources play a significant positive role in promoting the agglomeration of the high-end service industry, but the influence is non-linear. Constrained by level of economic development level, this effect has an inverted U-shape. Constrained by financing capacity, this effect is positive under different threshold intervals but shows a decreasing trend.

Suggested Citation

  • Wu, Dailong & Tong, Xin & Liu, Liping & Wang, Joe, 2021. "Do regional financial resources affect the concentration of high-end service industries in Chinese cities?," Finance Research Letters, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612321000167
    DOI: 10.1016/j.frl.2021.101935
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612321000167
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2021.101935?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. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    2. Martin, Philippe & Ottaviano, Gianmarco I P, 2001. "Growth and Agglomeration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 947-968, November.
    3. Era Dabla-Norris & Erasmus K. Kersting & Geneviève Verdier, 2012. "Firm Productivity, Innovation, and Financial Development," Southern Economic Journal, John Wiley & Sons, vol. 79(2), pages 422-449, October.
    4. Hansen, Bruce E, 1994. "Autoregressive Conditional Density Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(3), pages 705-730, August.
    5. Asli Demirgüç-Kunt & Ross Levine, 2008. "Finance, Financial Sector Policies, and Long-Run Growth," World Bank Publications - Books, The World Bank Group, number 28021.
    6. Zhang, Dongyang & Guo, Yumei & Wang, Zhaorui & Chen, Yanbin, 2020. "The impact of US monetary policy on Chinese enterprises’ R&D investment," Finance Research Letters, Elsevier, vol. 35(C).
    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. Tianshu Quan & Tianli Quan, 2023. "A Study of the Spatial Mechanism of Financial Agglomeration Affecting Green Low-Carbon Development: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.

    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. Allegret, Jean-Pierre & Couharde, Cécile & Coulibaly, Dramane & Mignon, Valérie, 2014. "Current accounts and oil price fluctuations in oil-exporting countries: The role of financial development," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 185-201.
    2. Thomas Straubhaar & Marc Suhrcke & Dieter Urban, 2002. "Divergence. Is it Geography?," Development Working Papers 158, Centro Studi Luca d'Agliano, University of Milano.
    3. Ruijia Wu & Rafael Alvarado & Priscila Méndez & Brayan Tillaguango, 2024. "Impact of Informational and Cultural Globalization, R&D, and Urbanization on Inequality," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1666-1702, March.
    4. Simone Salotti & Carmine Trecroci, 2016. "The Impact of Government Debt, Expenditure and Taxes on Aggregate Investment and Productivity Growth," Economica, London School of Economics and Political Science, vol. 83(330), pages 356-384, April.
    5. Jingyuan Yang & Ling Wang & Ziyuan Sun & Fangming Zhu & Yihui Guo & Yan Shen, 2021. "Impact of Monetary Policy Uncertainty on R&D Investment Smoothing Behavior of Pharmaceutical Manufacturing Enterprises: Empirical Research Based on a Threshold Regression Model," IJERPH, MDPI, vol. 18(21), pages 1-17, November.
    6. Chiu, Chien-Liang & Chang, Ting-Huan, 2009. "What proportion of renewable energy supplies is needed to initially mitigate CO2 emissions in OECD member countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1669-1674, August.
    7. Nicolas Canry & Julien Fouquau & Sébastien Lechevalier, 2011. "Sectoral Price Dynamics in Japan: A Threshold Approach," Economics Bulletin, AccessEcon, vol. 31(2), pages 1322-1335.
    8. Arcalean, Calin & Glomm, Gerhard & Schiopu, Ioana, 2012. "Growth effects of spatial redistribution policies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 988-1008.
    9. Jean C. Kouam & Simplice Asongu, 2022. "The non-linear effects of fixed broadband on economic growth in Africa," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(5), pages 881-895, August.
    10. Rand Kwong Yew Low, 2018. "Vine copulas: modelling systemic risk and enhancing higher‐moment portfolio optimisation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 423-463, November.
    11. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    12. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "Insurance Policy Thresholds for Economic Growth in Africa," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(3), pages 672-689, July.
    13. Michele Fratianni & Francesco Marchionne, 2011. "The Limits to Integration," Chapters, in: Miroslav N. Jovanović (ed.), International Handbook on the Economics of Integration, Volume I, chapter 9, Edward Elgar Publishing.
    14. Li, Xiao-Ming & Rose, Lawrence C., 2009. "The tail risk of emerging stock markets," Emerging Markets Review, Elsevier, vol. 10(4), pages 242-256, December.
    15. Becker, Sascha S. & Nautz, Dieter, 2012. "Inflation, price dispersion and market integration through the lens of a monetary search model," European Economic Review, Elsevier, vol. 56(3), pages 624-634.
    16. Jingwen Lu & Lihua Dai, 2023. "Examining the Threshold Effect of Environmental Regulation: The Impact of Agricultural Product Trade Openness on Agricultural Carbon Emissions," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    17. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    18. Benjamin Montmartin & Nadine Massard, 2015. "Is Financial Support For Private R&D Always Justified? A Discussion Based On The Literature On Growth," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 479-505, July.
    19. Delis, Manthos & Savva, Christos & Theodossiou, Panayiotis, 2020. "A Coronavirus Asset Pricing Model: The Role of Skewness," MPRA Paper 100877, University Library of Munich, Germany.
    20. Granger, Clive W.J. & Teräsvirta, Timo & Patton, Andrew J., 2002. "Common factors in conditional distributions," SSE/EFI Working Paper Series in Economics and Finance 515, Stockholm School of Economics.

    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:eee:finlet:v:42:y:2021:i:c:s1544612321000167. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.