Skip to main content
Log in

Influence of Transportation Accessibility on Urban-rural Income Disparity and Its Spatial Heterogeneity

  • Published:
Chinese Geographical Science Aims and scope Submit manuscript

Abstract

Transportation accessibility has been treated as an important means of reducing the urban-rural income disparity. However, only a few studies have examined the effects of different types of transportation accessibility on urban-rural income disparity and their spatial heterogeneity. Based on data from 285 prefecture-level (and above) Chinese cities in 2000, 2005, 2010, 2015, and 2020, this study uses spatial econometric models to examine how highway accessibility and railway accessibility influence the urban-rural income disparity and to identify their spatial heterogeneity. The result reveals that highway accessibility and railway accessibility have ‘coreperiphery’ ring-like circle structures. The urban-rural income disparity exhibits strong spatial clustering effects. Both highway accessibility and railway accessibility are negatively associated with urban-rural income disparity, and the former having a greater effect size. Moreover, there is a substitution effect between highway accessibility and railway accessibility in the whole sample. Furthermore, these associations differ in geographic regions. In the central region, highway accessibility is more important in reducing the urban-rural income disparity, but its effect is weakened with the increase of railway accessibility. In the western region, railway accessibility has a larger effect on narrowing the urban-rural income disparity, and this effect is strengthened by the increase of highway accessibility. We conclude that improving transportation accessibility is conducive to reducing the urban-rural income disparity but its effect is spatial heterogenetic. Highways and railways should be developed in a coordinated manner to promote an integrated transport network system.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ahlfeldt G M, Feddersen A, 2018. From periphery to core: measuring agglomeration effects using high-speed rail. Journal of Economic Geography, 18(2): 355–390. doi: https://doi.org/10.1093/jeg/lbx005

    Article  Google Scholar 

  • Allen W B, Liu D, Singer S, 1993. Accesibility measures of U.S.Metropolitan Areas. Transportation Research Part B:Methodological, 27(6): 439–449. doi: https://doi.org/10.1016/0191-2615(93)90016-4

    Article  Google Scholar 

  • Anselin L, 1988. Spatial Econometrics: Methods and Models. Dordrecht: Springer Science & Business Media.

    Book  Google Scholar 

  • Ballis A, Golias J, 2002. Comparative evaluation of existing and innovative rail-road freight transport terminals. Transportation Research Part A:Policy and Practice, 36(7): 593–611. doi: https://doi.org/10.1016/s0965-8564(01)00024-6

    Google Scholar 

  • Banerjee A, Duflo E, Qian N, 2020. On the road: access to transportation infrastructure and economic growth in China. Journal of Development Economics, 145: 102442. doi: https://doi.org/10.1016/j.jdeveco.2020.102442

    Article  Google Scholar 

  • Baum-Snow N, Brandt L, Vernon Henderson J et al., 2017. Roads, railroads and decentralization of Chinese cities. The Review of Economics and Statistics, 99(3): 435–448. doi: https://doi.org/10.1162/rest_a_00660

    Article  Google Scholar 

  • Beidou Tianyu Press. 2016. China Highway Mileage Map Sub-Volume Series. Beijing: China Map Press, (in Chinese)

    Google Scholar 

  • Beidou Zhongtu Press. 2021. China Highway Mileage Map Sub-Volume Series. Beijing: China Map Press, (in Chinese)

    Google Scholar 

  • Calderón C, Chong A, 2004. Volume and quality of infrastructure and the distribution of income: an empirical investigation. Review of Income and Wealth, 50(1): 87–106. doi: https://doi.org/10.1111/j.0034-6586.2004.00113.x

    Article  Google Scholar 

  • Cao Xiaoshu, 2019. Progress in theory and practice of regional economic integration in Guangdong-Hong Kong-Macao Greater Bay Area. Journal of Shanghai Jiaotong University (Philosophy and Social Sciences), 27(5): 120–130. (in Chinese)

    Google Scholar 

  • Cao Yongwang, Zhang Rongrong, Zhang Dahao et al., 2023. Urban Agglomerations in China: Characteristics and Influencing Factors of Population Agglomeration. Chinese Geographical Science, 33(4): 719–735. doi: https://doi.org/10.1007/s11769-023-1368-7

    Article  Google Scholar 

  • Chandra A, Thompson E, 2000. Does public infrastructure affect economic activity? evidence from the rural interstate highway system. Regional Science and Urban Economics, 30(4): 457–490. doi: https://doi.org/10.1016/s0166-0462(00)00040-5

    Article  Google Scholar 

  • China Communication Press. 2006a. China Highway Mileage Map Sub-Volume Series. Beijing: China Communication Press. (in Chinese)

    Google Scholar 

  • China Map Press, 2011a. China Provincial Atlas Series. Beijing: China Map Press. (in Chinese)

    Google Scholar 

  • China Map Press, 2016a. China Provincial Atlas Series. Beijing: China Map Press. (in Chinese)

    Google Scholar 

  • China Map Press, 2021. China Provincial Atlas Series. Beijing: China Map Press. (in Chinese)

    Google Scholar 

  • Cosci S, Mirra L, 2018. A spatial analysis of growth and convergence in Italian provinces: the role of road infrastructure. Regional Studies, 52(4): 516–527. doi: https://doi.org/10.1080/00343404.2017.1334117

    Article  Google Scholar 

  • Cuberes D, Desmet K, Rappaport J, 2021. Urban growth shadows. Journal of Urban Economics, 123: 103334. doi: https://doi.org/10.1016/j.jue.2021.103334

    Article  Google Scholar 

  • Cui Baisheng, Yang Xiaoqin, 2017. Spatial spillover effect on regional economic growth by transportation infrastructure. Urban Problems, (7): 48–59. (in Chinese).

  • Fageda X, Olivieri C, 2019. Transport infrastructure and regional convergence: a spatial panel data approach. Papers in Regional Science, 98(4): 1609–1632. doi: https://doi.org/10.1111/pirs.12433

    Article  Google Scholar 

  • Fan J, Kato H, Liu X H et al., 2022. High-speed railway network development, inter-county accessibility improvements, and regional poverty alleviation: evidence from China. Land, 11(10): 1846. doi: https://doi.org/10.3390/land11101846

    Article  Google Scholar 

  • Fan S G, Chan-Kang C, 2008. Regional road development, rural and urban poverty: evidence from China. Transport Policy, 15(5): 305–314. doi: https://doi.org/10.1016/j.tranpol.2008.12.012

    Article  Google Scholar 

  • Fan Wenwu, Duan Songjiang, and Qian Jin et al. 2021. Spatial temporal pattern and driving mechanism of aging population in Chongqing. Journal of Guizhou Normal University (Natural Sciences), 39 (01): 86–94. (in Chinese)

    Google Scholar 

  • Grossman G M, Helpman E, 1993. Innovation and Growth in the Global Economy. Cambridge: The MIT Press.

    Google Scholar 

  • Guan X L, Wei H K, Lu S S et al., 2018. Assessment on the urbanization strategy in China: achievements, challenges and reflections. Habitat International, 71: 97–109. doi: https://doi.org/10.1016/j.habitatint.2017.11.009

    Article  Google Scholar 

  • Guangdong Map Press, 2001. China Traffic Atlas. Guangzhou: Guangdong Map Press. (in Chinese)

    Google Scholar 

  • Guo B B, Ke J C, 2020. The impacts of high-speed rail on sustainable economic development: evidence from the central part of China. Sustainability, 12(6): 2410. doi: https://doi.org/10.3390/su12062410

    Article  Google Scholar 

  • He M L, Shen J R, Wu X H et al., 2018. Logistics space: a literature review from the sustainability perspective. Sustainability, 10(8): 2815. doi: https://doi.org/10.3390/su10082815

    Article  Google Scholar 

  • He Q S, Song Y, Liu Y L et al., 2017. Diffusion or coalescence? urban growth pattern and change in 363 Chinese cities from 1995 to 2015. Sustainable Cities and Society, 35: 729–739. doi: https://doi.org/10.1016/j.scs.2017.08.033

    Article  Google Scholar 

  • Hesse M, Rodrigue J P, 2004. The transport geography of logistics and freight distribution. Journal of Transport Geography, 12(3): 171–184. doi: https://doi.org/10.1016/j.jtrangeo.2003.12.004

    Article  Google Scholar 

  • Horowitz J, List J, McConnell K E, 2007. A test of diminishing marginal value. Economica, 74(296): 650–663. doi: https://doi.org/10.1111/j.1468-0335.2006.00565.x

    Article  Google Scholar 

  • Huang Cheng, Wu Chuanqing, 2018. Study on the green development of multimodal transport corridor in Yangtze River economic belt. Regional Economic Review, (5): 97–104. (in Chinese).

  • Huang Xiaoyan, Cao Xiaoshu, 2022. Progress of research on transportation and social exclusion from the perspective of spatiotemporal behavior. Progress in Geography, 41(1): 107–117. (in Chinese). doi: https://doi.org/10.18306/dlkxjz.2022.01.010

    Article  Google Scholar 

  • Huang Xiaoyan, Cao Xiaoshu, Li Tao, 2011. The relationship between regional transport superiority and regional economic performance in Hainan. Geographical Research, 30(6): 985–999. (in Chinese)

    Google Scholar 

  • Hunan Map Press, 2006. China Traffic Atlas. Changsha: Hunan Map Press. (in Chinese)

    Google Scholar 

  • Hunan Map Press, 2011. China Traffic Atlas. Changsha: Hunan Map Press. (in Chinese)

    Google Scholar 

  • Jin M J, Lin K C, Shi W M et al., 2020. Impacts of high-speed railways on economic growth and disparity in China. Transportation Research Part A:Policy and Practice, 138: 158–171. doi: https://doi.org/10.1016/j.tra.2020.05.013

    Google Scholar 

  • Jin M J, Shi W M, Liu Y et al., 2022. Heterogeneous impact of high speed railway on income distribution: a case study in China. Socio-Economic Planning Sciences, 79: 101128. doi: https://doi.org/10.1016/j.seps.2021.101128

    Article  Google Scholar 

  • Kang Jijun, Guo Meng, Fu Yunying, 2014. To get rich, first build roads?—an empirical study of transportation infrastructure development, transportation industry development and poverty reduction. Inquiry into Economic Issues, (9): 41–46. (in Chinese)

  • Lakshmanan T R, 2011. The broader economic consequences of transport infrastructure investments. Journal of Transport Geography, 19(1): 1–12. doi: https://doi.org/10.1016/j.jtrangeo.2010.01.001

    Article  Google Scholar 

  • Li Han, Li Zhigang, 2009. The impact of transportation infrastructure investment on firm’s inventory: an empirical study based on panel data of Chinese manufacturing firm. Management World, (8): 73–80. (in Chinese).

  • Li Y, DaCosta M N, 2013. Transportation and income inequality in China: 1978–2007. Transportation Research Part A:Policy and Practice, 55: 56–71. doi: https://doi.org/10.1016/j.tra.2013.08.006

    CAS  Google Scholar 

  • Liu Saihong, Zhu Jian, 2017. Empirical study on the relationship among financial development, urbanization and urban & rural residents’ income gap. Economic Geography, 37(8): 46–52. (in Chinese).

    Google Scholar 

  • Liu Xianteng, 2011. Competitiveness in travel modes: an analysis on the development of urban transit in Chinese major cities: the case of Nanjing. Urban Planning Forum, (4): 59–65. (in Chinese).

  • Liu Xiaoguang, Zhang Xun, Fang Wenquan, 2015. The effect of infrastructure on urban-rural income gap: a perspective of labor migration. The Journal of World Economy, 38(3): 145–170. (in Chinese).

    Google Scholar 

  • Long H L, Liu Y S, Li X B et al., 2010. Building new countryside in China: a geographical perspective. Land Use Policy, 27(2): 457–470. doi: https://doi.org/10.1016/j.landusepol.2009.06.006

    Article  Google Scholar 

  • Lu H Y, Zhao P J, Hu H Y et al., 2022a. Transport infrastructure and urban-rural income disparity: a municipal-level analysis in China. Journal of Transport Geography, 99: 103292. doi: https://doi.org/10.1016/j.jtrangeo.2022.103292

    Article  Google Scholar 

  • Lu Haiyan, Zhao Pengjun, Dong Yaning et al., 2022b. Accessibility of high-speed rail stations and spatial disparity of urban-rural income gaps. Progress in Geography, 41(1): 131–142. doi: https://doi.org/10.18306/dlkxjz.2022.01.012 (in Chinese)

    Article  Google Scholar 

  • Lyons G, Urry J, 2005. Travel time use in the information age. Transportation Research Part A:Policy and Practice, 39(2–3): 257–276. doi: https://doi.org/10.1016/j.tra.2004.09.004

    Google Scholar 

  • Mackie P J, Jara-Díaz S, Fowkes A S, 2001. The value of travel time savings in evaluation. Transportation Research Part E:Logistics and Transportation Review, 37(2–3): 91–106. doi: https://doi.org/10.1016/S1366-5545(00)00013-2

    Article  Google Scholar 

  • National Bureau of Statistics, 2001. China Regional Economic Statistics Yearbook. Beijing: China Statistics Press, (in Chinese)

    Google Scholar 

  • National Bureau of Statistics, 2006a. China Regional Economic Statistics Yearbook. Beijing: China Statistics Press, (in Chinese)

    Google Scholar 

  • National Bureau of Statistics, 2001. China Urban Statistical Yearbook. Beijing: China Statistics Press, (in Chinese)

    Google Scholar 

  • National Bureau of Statistics, 2006b. China Urban Statistical Yearbook. Beijing: China Statistics Press, (in Chinese)

    Google Scholar 

  • National Bureau of Statistic, 2011a. China Regional Economic Statistics Yearbook. Beijing: China Statistics Press, (in Chinese)

    Google Scholar 

  • National Bureau of Statistics, 2011b. China Urban Statistical Yearbook Beijing: China Statistics Press, (in Chinese)

    Google Scholar 

  • National Bureau of Statistics, 2016. China Urban Statistical Yearbook. Beijing: China Statistics Press, (in Chinese)

    Google Scholar 

  • National Bureau of Statistics, 2021. China Urban Statistical Yearbook. Beijing: China Statistics Press, (in Chinese)

    Google Scholar 

  • Nie Li, Shi Kai, 2021. Regional differences and path selection of rural finance aggregation affecting rural economic growth. Finance and Trade Research, 32(5): 37–48. (in Chinese).

    Google Scholar 

  • Nolen-Hoeksema S, Rusting C L, 1999. Gender differences in well-being. In: Kahneman D, Diener E, Schwarz N (eds). Well-Being: Foundations of Hedonic Psychology. Washington: American Psychological Association, 330–350.

    Google Scholar 

  • Planet Map Press, 2006. China Provincial Atlas Series. Beijing: Planet Map Press, (in Chinese)

    Google Scholar 

  • Rodgers J L, 1994. Differential human capital and structural evolution in agriculture. Agricultural Economics, 11(1): 1–17. doi: https://doi.org/10.1016/0169-5150(94)90012-4

    Article  Google Scholar 

  • Rodríguez-Pose A, Psycharis Y, Tselios V, 2012. Public investment and regional growth and convergence: evidence from Greece. Papers in Regional Science, 91(3): 543–568. doi: https://doi.org/10.1111/J.1435-5957.2012.00444.X

    Article  Google Scholar 

  • Shandong Map Press, 2016. China Traffic Atlas. Jinan: Shandong Map Press, (in Chinese)

    Google Scholar 

  • Shandong Province Map Press, 2011. China Highway Mileage Map Sub-Volume Series. Jinan: Shandong Map Press, (in Chinese)

    Google Scholar 

  • Su C W, Liu T Y, Chang H L et al., 2015. Is urbanization narrowing the urban-rural income gap? A cross-regional study of China. Habitat International, 48: 79–86. doi: https://doi.org/10.1016/j.habitatint.2015.03.002

    Article  Google Scholar 

  • Tang Keye, Jiang Yuxi, 2021. Heterogeneity analysis of the impact of high-speed railway on station cities and regional economy. Research on Financial and Economic Issues, (12): 58–65. (in Chinese).

  • Wang S P, Ouyang Z G, 2008. The threshold effect of the urbanrural income disparity on real economic growth in China. Social Sciences in China, 29(3): 39–53. doi: https://doi.org/10.1080/02529200802288005

    Article  Google Scholar 

  • Wang X Y, Wang Q, 2021. Research on the impact of green finance on the upgrading of China’s regional industrial structure from the perspective of sustainable development. Resources Policy, 74: 102436. doi: https://doi.org/10.1016/j.resourpol.2021.102436

    Article  Google Scholar 

  • Wang X, Shao S, Li L, 2019. Agricultural inputs, urbanization, and urban-rural income disparity: evidence from China. China Economic Review, 55: 67–84. doi: https://doi.org/10.1016/j.chieco.2019.03.009

    Article  Google Scholar 

  • Wang Z Y, Sun S Z, 2016. Transportation infrastructure and rural development in China. China Agricultural Economic Review, 8(3): 516–525. doi: https://doi.org/10.1108/caer-09-2015-0115

    Article  Google Scholar 

  • Yang Qian, Shi Daqian, 2019. Transportation infrastructure, factors mobility and urban-rural income gap. South China Journal of Economics, (9): 35–50. (in Chinese)

  • Yin C, Peng N, Li Y et al., 2023. A review on street view observations in support of the sustainable development goals. International Journal of Applied Earth Observation and Geoinformation, 117: 103205. doi: https://doi.org/10.1016/j.jag.2023.103205

    Article  Google Scholar 

  • Yin Jiangbin, Huang Xiaoyan, Hong Guozhi et al., 2016. The effect of transport accessibility on urban growth convergence in China: a spatial econometric analysis. Acta Geographica Sinica, 71(10): 1767–1783. (in Chinese)

    Google Scholar 

  • Yu N N, De Jong M, Storm S et al., 2012. The growth impact of transport infrastructure investment: a regional analysis for China (1978–2008). Policy and Society, 31(1): 25–38. doi: https://doi.org/10.1016/j.polsoc.2012.01.004

    Article  CAS  Google Scholar 

  • Zandiatashbar A, Hamidi S, Foster N, 2019. High-tech business location, transportation accessibility, and implications for sustainability: evaluating the differences between high-tech specializations using empirical evidence from US. booming regions. Sustainable Cities and Society, 50: 101648. doi: https://doi.org/10.1016/j.scs.2019.101648

    Article  Google Scholar 

  • Zeng L G, 2021. China’s eco-efficiency: regional differences and influencing factors based on a spatial panel data approach. Sustainability, 13(6): 3143. doi: https://doi.org/10.3390/su13063143

    Article  CAS  Google Scholar 

  • Zeng L G, Lu H Y, Liu Y P et al., 2019. Analysis of regional differences and influencing factors on China’s carbon emission efficiency in 2005–2015. Energies, 12(16): 3081. doi: https://doi.org/10.3390/en12163081

    Article  CAS  Google Scholar 

  • Zhang Guilan, 2021. The spatial effect analysis of the impact of transportation infrastructure on the income gap between urban and rural areas in China: comparison based on panel data of prefecture level cities in Eastern, Central and Western China. Journal of Harbin University, 42(8): 41–44. (in Chinese).

    Google Scholar 

  • Zhang Guojun, Chen Yu, Wang Gengnan et al., 2023. Spatial-temporal evolution and influencing factors of digital financial inclusion: county-level evidence from China. Chinese Geographical Science, 33(2): 221–232. doi: https://doi.org/10.1007/s11769-023-1333-5

    Article  PubMed  PubMed Central  Google Scholar 

  • Zhang Yong, Yang Fangqin, Sun Jianwei et al., 2022. Spatial differentiation of educational equity of rural settlements in karst mountainous areas: a case study of Qixingguan District. Journal of Guizhou Normal University (Natural Sciences), 40(1): 24–33. (in Chinese)

    Google Scholar 

  • Zhao P, Yu Z, 2021. Rural poverty and mobility in China: A national-level survey. Journal of transport geography, 93: 103083. doi: https://doi.org/10.1016/j.jtrangeo.2021.103083

    Article  Google Scholar 

  • Zhao P J, Wan J, 2021. Land use and travel burden of residents in urban fringe and rural areas: an evaluation of urban-rural integration initiatives in Beijing. Land Use Policy, 103: 105309. doi: https://doi.org/10.1016/j.landusepol.2021.105309

    Article  Google Scholar 

  • Zheng S Q, Kahn M E, 2013. China’s bullet trains facilitate market integration and mitigate the cost of megacity growth. Proceedings of the National Academy of Sciences of the United States of America, 110(14): E1248–E1253. doi: https://doi.org/10.1073/pnas.1209247110

    CAS  PubMed  PubMed Central  Google Scholar 

  • Zou W, Zhang F, Zhuang Z Y et al., 2008. Transport infrastructure, growth, and poverty alleviation: empirical analysis of China. Annals of Economics and Finance, 9(2): 345–371.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

HUANG Xiaoyan: conceptualization, writing-original draft preparation, writing-review and editing, funding acquisition, resources, supervision. KANG Chenchen: methodology, formal analysis and investigation, writing-original draft preparation, writing-review and editing. YIN Chun: methodology, writing-original draft preparation, writing-review and editing, funding acquisition, supervision. TANG Junqing: writing-review and editing.

Corresponding author

Correspondence to Chun Yin.

Ethics declarations

The authors declare no conflict of interest.

Additional information

Foundation item: Under the auspices of National Natural Science Foundation of China (No. 42371214, 42101184), Chenguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission (No. 22CGA27), Funded Projects for the Academic Leaders and Academic Backbone, Shaanxi Normal University (No.18QNGG013)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, X., Kang, C., Yin, C. et al. Influence of Transportation Accessibility on Urban-rural Income Disparity and Its Spatial Heterogeneity. Chin. Geogr. Sci. (2024). https://doi.org/10.1007/s11769-024-1427-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11769-024-1427-8

Keywords

Navigation