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

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  • 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
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    References listed on IDEAS

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    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. Roger Vickerman, 2007. "Recent Evolution of Research into the Wider Economic Benefits of Transport Infrastructure Investments," OECD/ITF Joint Transport Research Centre Discussion Papers 2007/9, OECD Publishing.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
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