IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0289866.html
   My bibliography  Save this article

Impact of regional accessibility on urban residents’ income in China: A bidirectional-fixed panel model

Author

Listed:
  • Yahong Liu
  • Daisheng Tang
  • Fengyu Wang
  • Naila Bano

Abstract

The income gap between regions and its expansion are the main manifestations of the imbalanced and inadequate economic development in China. High-speed railway (HSR) construction is regarded as an important method to drive domestic demand, drive the pulse of the economy, and promote the coordinated development of regions. Based on the opening of HSR and the acceleration of ordinary railways, we used the weighted average travel time model and accessibility coefficient to estimate the changes on accessibility in 286 cities at prefecture-level and above from 2000 to 2018. Then, the influence mechanisms of improving regional accessibility on urban residents’ income were estimated by using the bidirectional-fixed effects panel model and the recursive model respectively. We found that: (1) The accessibility of urban areas has been greatly improved due to the opening of HSR and the acceleration of ordinary railway, among which the improvement of HSR cities is greater. (2) The improvement of regional accessibility significantly promoted the income growth of urban residents, and the increase of the regional accessibility coefficient by 1 unit led to an average increase of 2140 yuan in the per capita disposable income of urban residents. (3) There is regional heterogeneity in the impact of improving regional accessibility on urban residents’ income, and it has a significant effect on the eastern and northeastern regions. It has a greater positive effect on improving the income of residents in central cities compared with peripheral cities. (4) Regional accessibility can promote urban income growth through regional employment and fixed asset investment. In the future, the transportation network should be further improved to facilitate the regional economic cycle, strengthen the coordination and complementarity of regional economies, and promote regional economic integration so as to promote the improvement of resident income level and the common prosperity of the people.

Suggested Citation

  • Yahong Liu & Daisheng Tang & Fengyu Wang & Naila Bano, 2023. "Impact of regional accessibility on urban residents’ income in China: A bidirectional-fixed panel model," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-19, October.
  • Handle: RePEc:plo:pone00:0289866
    DOI: 10.1371/journal.pone.0289866
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0289866
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0289866&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0289866?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
    ---><---

    References listed on IDEAS

    as
    1. César Calderón & Alberto Chong, 2004. "Volume and Quality of Infrastructure and the Distribution of Income: An Empirical Investigation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(1), pages 87-106, March.
    2. Jeffrey P. Cohen & Catherine J. Morrison Paul, 2004. "Public Infrastructure Investment, Interstate Spatial Spillovers, and Manufacturing Costs," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 551-560, May.
    3. Nathaniel Baum-Snow, 2010. "Changes in Transportation Infrastructure and Commuting Patterns in US Metropolitan Areas, 1960-2000," American Economic Review, American Economic Association, vol. 100(2), pages 378-382, May.
    4. Anping Chen & Nicolaas Groenewold, 2011. "Regional Equality and National Development in China: Is There a Trade‐Off?," Growth and Change, Wiley Blackwell, vol. 42(4), pages 628-669, December.
    5. Melanie Arntz, 2010. "What Attracts Human Capital? Understanding the Skill Composition of Interregional Job Matches in Germany," Regional Studies, Taylor & Francis Journals, vol. 44(4), pages 423-441.
    6. Piyapong Jiwattanakulpaisarn & Robert B. Noland & Daniel J. Graham & John W. Polak, 2009. "Highway infrastructure and state‐level employment: A causal spatial analysis," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 133-159, March.
    7. Quheng Deng & Shi Li, 2009. "What Lies behind Rising Earnings Inequality in Urban China? Regression-based Decompositions," CESifo Economic Studies, CESifo Group, vol. 55(3-4), pages 598-623.
    8. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, June.
    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. Zhenhua Chen & Kingsley Haynes, 2015. "Multilevel assessment of public transportation infrastructure: a spatial econometric computable general equilibrium approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 663-685, May.
    2. Zhenhua Chen & Kingsley E. Haynes, 2015. "Regional Impact of Public Transportation Infrastructure," Economic Development Quarterly, , vol. 29(3), pages 275-291, August.
    3. Gibbons, Stephen & Lyytikäinen, Teemu & Overman, Henry G. & Sanchis-Guarner, Rosa, 2019. "New road infrastructure: The effects on firms," Journal of Urban Economics, Elsevier, vol. 110(C), pages 35-50.
    4. Zhenhua Chen & Kingsley E. Haynes, 2015. "Public surface transportation and regional output: A spatial panel approach," Papers in Regional Science, Wiley Blackwell, vol. 94(4), pages 727-751, November.
    5. Rosa Sanchis-Guarner, 2012. "Driving Up Wages: The Effects of Road Construction in Great Britain," SERC Discussion Papers 0120, Centre for Economic Performance, LSE.
    6. Tong, Tingting & Yu, Tun-Hsiang Edward & Cho, Seong-Hoon & Jensen, Kimberly & De La Torre Ugarte, Daniel, 2013. "Evaluating the spatial spillover effects of transportation infrastructure on agricultural output across the United States," Journal of Transport Geography, Elsevier, vol. 30(C), pages 47-55.
    7. Calderon, Cesar & Serven, Luis, 2014. "Infrastructure, growth, and inequality : an overview," Policy Research Working Paper Series 7034, The World Bank.
    8. Lie Ma & Dandan Li & Xiaobo Tao & Haifeng Dong & Bei He & Xiaosu Ye, 2017. "Inequality, Bi-Polarization and Mobility of Urban Infrastructure Investment in China’s Urban System," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    9. Timilsina,Govinda R. & Hochman,Gal & Song,Ze, 2020. "Infrastructure, Economic Growth, and Poverty : A Review," Policy Research Working Paper Series 9258, The World Bank.
    10. Chiara Del Bo & Massimo Florio & Silvia Vignetti & Emanuela Sirtori, 2011. "Additionality and regional development: are EU Structural Funds complements or substitutes of national Public Finance?," Working Papers 201101, CSIL Centre for Industrial Studies.
    11. Dorothée Allain-Dupré & Claudia Hulbert & Margaux Vincent, 2017. "Subnational Infrastructure Investment in OECD Countries: Trends and Key Governance Levers," OECD Regional Development Working Papers 2017/05, OECD Publishing.
    12. Sven Resnjanskij & Jens Ruhose & Simon Wiederhold & Ludger Wößmann, 2021. "Mentoring verbessert die Arbeitsmarktchancen von stark benachteiligten Jugendlichen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 74(02), pages 31-38, February.
    13. Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-dimensional econometrics and regularized GMM," CeMMAP working papers CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Dimitris Bertsimas & Agni Orfanoudaki & Rory B. Weiner, 2020. "Personalized treatment for coronary artery disease patients: a machine learning approach," Health Care Management Science, Springer, vol. 23(4), pages 482-506, December.
    15. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    16. Rayaprolu, Hema & Levinson, David, 2024. "Co-evolution of public transport access and ridership," Journal of Transport Geography, Elsevier, vol. 116(C).
    17. Mohamed Amara & Hatem Jemmali, 2018. "Deciphering the Relationship Between Internal Migration and Regional Disparities in Tunisia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 313-331, January.
    18. Clément de Chaisemartin & Jaime Ramirez-Cuellar, 2024. "At What Level Should One Cluster Standard Errors in Paired and Small-Strata Experiments?," American Economic Journal: Applied Economics, American Economic Association, vol. 16(1), pages 193-212, January.
    19. Clément de Chaisemartin & Luc Behaghel, 2020. "Estimating the Effect of Treatments Allocated by Randomized Waiting Lists," Econometrica, Econometric Society, vol. 88(4), pages 1453-1477, July.
    20. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.

    More about this item

    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:plo:pone00:0289866. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.