IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v133y2020icp138-147.html
   My bibliography  Save this article

Spatial distribution of job opportunities in China: Evidence from the opening of the high-speed rail

Author

Listed:
  • Shi, Wenming
  • Lin, Kun-Chin
  • McLaughlin, Heather
  • Qi, Guanqiu
  • Jin, Mengjie

Abstract

The provision of sufficient job opportunities has traditionally been a primary objective for both local and central governments. In response to this concern, we investigate spatial dependence of job opportunities among 30 Chinese provincial capital cities (PCCs) from 2002 to 2016, giving special attention to the spatial spillovers of the opening of the high-speed rail (HSR). Using appropriate spatial panel data models, our findings suggest the presence of significant spatial autocorrelation of job opportunities among PCCs. Whilst the HSR has been found to increase job opportunities at the national level, which, however, is not confirmed at the regional level. The spatial spillover effects of the HSR are significant and positive only in the eastern/northeastern region. These findings can help the central government to more fully understand spatial dependence of job opportunities, better plan future HSR networks, and efficiently allocate transportation resources, encouraging cross-regional collaboration to promote regional employment.

Suggested Citation

  • Shi, Wenming & Lin, Kun-Chin & McLaughlin, Heather & Qi, Guanqiu & Jin, Mengjie, 2020. "Spatial distribution of job opportunities in China: Evidence from the opening of the high-speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 138-147.
  • Handle: RePEc:eee:transa:v:133:y:2020:i:c:p:138-147
    DOI: 10.1016/j.tra.2020.01.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096585641930045X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2020.01.006?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. Christian Dustmann & Uta Schönberg & Jan Stuhler, 2017. "Labor Supply Shocks, Native Wages, and the Adjustment of Local Employment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 435-483.
    2. Levinson, David M., 2012. "Accessibility impacts of high-speed rail," Journal of Transport Geography, Elsevier, vol. 22(C), pages 288-291.
    3. Alan Manning & Barbara Petrongolo, 2017. "How Local Are Labor Markets? Evidence from a Spatial Job Search Model," American Economic Review, American Economic Association, vol. 107(10), pages 2877-2907, October.
    4. Yu, Nannan & de Jong, Martin & Storm, Servaas & Mi, Jianing, 2013. "Spatial spillover effects of transport infrastructure: evidence from Chinese regions," Journal of Transport Geography, Elsevier, vol. 28(C), pages 56-66.
    5. Hamid Beladi & Sarbajit Chaudhuri & Shigemi Yabuuchi, 2008. "Can International Factor Mobility Reduce Wage Inequality in a Dual Economy?," Review of International Economics, Wiley Blackwell, vol. 16(5), pages 893-903, November.
    6. Higashi, Yudai, 2018. "Spatial spillovers in job matching: Evidence from the Japanese local labor markets," Journal of the Japanese and International Economies, Elsevier, vol. 50(C), pages 1-15.
    7. Pablo Coto-Millán & Vicente Inglada & Belén Rey, 2007. "Effects of network economies in high-speed rail: the Spanish case," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(4), pages 911-925, December.
    8. Daniel F Heuermann & Johannes F Schmieder, 2019. "The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
    9. Pekka Ilmakunnas & Hanna Pesola, 2003. "Regional Labour Market Matching Functions and Efficiency Analysis," LABOUR, CEIS, vol. 17(3), pages 413-437, September.
    10. Komei Sasaki & Tadahiro Ohashi & Asao Ando, 1997. "High-speed rail transit impact on regional systems: does the Shinkansen contribute to dispersion?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 77-98.
    11. David H. Autor & David Dorn & Gordon H. Hanson, 2015. "Untangling Trade and Technology: Evidence from Local Labour Markets," Economic Journal, Royal Economic Society, vol. 0(584), pages 621-646, May.
    12. McLaughlin, Kenneth J & Bils, Mark, 2001. "Interindustry Mobility and the Cyclical Upgrading of Labor," Journal of Labor Economics, University of Chicago Press, vol. 19(1), pages 94-135, January.
    13. Burgess, Simon & Profit, Stefan, 2001. "Externalities in the matching of workers and firms in ritain," Labour Economics, Elsevier, vol. 8(3), pages 313-333, June.
    14. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    15. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    16. Seeborg, Michael C. & Jin, Zhenhu & Zhu, Yiping, 2000. "The new rural-urban labor mobility in China: Causes and implications," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 29(1), pages 39-56.
    17. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    18. Burda, Michael C. & Profit, Stefan, 1996. "Matching across space: Evidence on mobility in the Czech Republic," Labour Economics, Elsevier, vol. 3(3), pages 255-278, October.
    19. Decressin, Jorg & Fatas, Antonio, 1995. "Regional labor market dynamics in Europe," European Economic Review, Elsevier, vol. 39(9), pages 1627-1655, December.
    20. David Hensher & Richard Ellison & Corinne Mulley, 2014. "Assessing the employment agglomeration and social accessibility impacts of high speed rail in Eastern Australia," Transportation, Springer, vol. 41(3), pages 463-493, May.
    21. Lottmann, Franziska, 2012. "Spatial dependencies in German matching functions," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 27-41.
    22. Kawabata, Mizuki & Abe, Yukiko, 2018. "Intra-metropolitan spatial patterns of female labor force participation and commute times in Tokyo," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 291-303.
    23. Nile W. Hatch & Jeffrey H. Dyer, 2004. "Human capital and learning as a source of sustainable competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 25(12), pages 1155-1178, December.
    24. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    25. J. Simonen & R. Svento & P. McCann, 2016. "The regional and sectoral mobility of high-tech workers: insights from Finland," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 341-368, March.
    26. Kent Eliasson & Urban Lindgren & Olle Westerlund, 2003. "Geographical Labour Mobility: Migration or Commuting?," Regional Studies, Taylor & Francis Journals, vol. 37(8), pages 827-837.
    27. Chaudhuri, Sarbajit & Banerjee, Dibyendu, 2008. "Fair Wage Hypothesis, International Factor Mobility and Skilled-Unskilled Wage Inequality in a Developing Economy," MPRA Paper 9303, University Library of Munich, Germany.
    28. Chen, Chia-Lin & Hall, Peter, 2012. "The wider spatial-economic impacts of high-speed trains: a comparative case study of Manchester and Lille sub-regions," Journal of Transport Geography, Elsevier, vol. 24(C), pages 89-110.
    29. Sanna‐Mari Hynninen, 2005. "Matching across Space: Evidence from Finland," LABOUR, CEIS, vol. 19(4), pages 749-765, December.
    30. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    31. Mitra, Devashish & Ranjan, Priya, 2010. "Offshoring and unemployment: The role of search frictions labor mobility," Journal of International Economics, Elsevier, vol. 81(2), pages 219-229, July.
    32. Kondo, Keisuke, 2015. "Spatial persistence of Japanese unemployment rates," Japan and the World Economy, Elsevier, vol. 36(C), pages 113-122.
    33. Arbués, Pelayo & Baños, José F. & Mayor, Matías, 2015. "The spatial productivity of transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 166-177.
    34. Dong, Xiaofang, 2018. "High-speed railway and urban sectoral employment in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 603-621.
    35. Kevin X. Li & Mengjie Jin & Guanqiu Qi & Wenming Shi & Adolf K. Y. Ng, 2018. "Logistics as a driving force for development under the Belt and Road Initiative – the Chinese model for developing countries," Transport Reviews, Taylor & Francis Journals, vol. 38(4), pages 457-478, July.
    36. Sun-Kwan Lee & Euijune Kim, 2015. "The effects of highway investments on production costs in the Korean manufacturing sector," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 19(2), pages 182-191, July.
    37. Donghoon Lee & Kenneth I. Wolpin, 2006. "Intersectoral Labor Mobility and the Growth of the Service Sector," Econometrica, Econometric Society, vol. 74(1), pages 1-46, January.
    38. Wenming Shi & Hee-Seok Bang & Kevin X. Li, 2016. "A cross-region analysis of the output elasticity of transport investment in China," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(2), pages 222-241, February.
    39. Ross Finnie, 2004. "Who moves? A logit model analysis of inter-provincial migration in Canada," Applied Economics, Taylor & Francis Journals, vol. 36(16), pages 1759-1779.
    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. Wang, Yongpei & Guan, Zhongyu & Zhang, Qian, 2023. "Railway opening and carbon emissions in distressed areas: Evidence from China's state-level poverty-stricken counties," Transport Policy, Elsevier, vol. 130(C), pages 55-67.
    2. Jin, Wenwan & Zhu, Shengjun, 2023. "High-speed rail network and regional convergence/divergence in industrial structure," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    3. Sahu, Saransh & Verma, Ashish, 2022. "Quantifying wider economic impacts of high-speed connectivity and accessibility: The case of the Karnataka high-speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 141-155.
    4. Feng, Qiyun & Chen, Zhenhua & Cheng, Chuanchao & Chang, Haiqing, 2023. "Impact of high-speed rail on high-skilled labor mobility in China," Transport Policy, Elsevier, vol. 133(C), pages 64-74.
    5. Sun, Xinyu & Yan, Sen & Liu, Tao & Wang, Jiayin, 2023. "The impact of high-speed rail on urban economy: Synergy with urban agglomeration policy," Transport Policy, Elsevier, vol. 130(C), pages 141-154.
    6. Wang, Chao & Chen, Junjing & Li, Boyan & Chen, Nengcheng & Wang, Wei, 2023. "Impact of high-speed railway construction on spatial patterns of regional economic development along the route: A case study of the Shanghai–Kunming high-speed railway," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    7. Di Matteo, Dante & Cardinale, Bernardo, 2023. "Impact of high-speed rail on income inequalities in Italy," Journal of Transport Geography, Elsevier, vol. 111(C).
    8. Jin, Mengjie & Shi, Wenming & Liu, Yu & Xu, Xiaoling & Li, Kevin X., 2022. "Heterogeneous impact of high speed railway on income distribution: A case study in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    9. Liu, Jingyang & Yang, Haoran, 2023. "Income allocation and distribution along with high-speed rail development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    10. Zhang, Yuxin & Xu, Dafeng, 2023. "Service on the rise, agriculture and manufacturing in decline: The labor market effects of high-speed rail services in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    11. Zhou, Zhengyi & Zhang, Anming, 2021. "High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 98-113.
    12. de Freitas, Lucas Meyer & Blum, Salem, 2024. "An accessibility-based methodology to identify corridor speed upgrades in the European rail network," Journal of Transport Geography, Elsevier, vol. 114(C).
    13. Chen, Fanglin & Chen, Zhongfei, 2023. "High-speed rail and happiness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    14. Li, Xijing & Zhang, Mengmeng & Wang, Jionghua, 2022. "The spatio-temporal relationship between land use and population distribution around new intercity railway stations: A case study on the Pearl River Delta region, China," Journal of Transport Geography, Elsevier, vol. 98(C).
    15. Xinyuan Wang & Daisheng Tang & Yahong Liu & Tao Bu, 2023. "The impact of high-speed railway on labor market between the North and South: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 487-515, October.
    16. Chen, Jun, 2021. "High-speed rail and energy consumption in China: The intermediary roles of industry and technology," Energy, Elsevier, vol. 230(C).
    17. Bhatt, Ayushman & Kato, Hironori, 2021. "High-speed rails and knowledge productivity: A global perspective," Transport Policy, Elsevier, vol. 101(C), pages 174-186.
    18. Jin, Mengjie & Gu, Ruyue & Li, Kevin X. & Shi, Wenming & Xiao, Yi, 2024. "Heterogeneous impacts of the high-speed railway network on urban–rural income disparity: Spatiotemporal evidence from Yangtze River Delta of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    19. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    20. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.

    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. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
    2. Nasser Dine Mohamedou, 2022. "Labor mobility within Japanese regional labor markets and spillover effects," The Japanese Economic Review, Springer, vol. 73(4), pages 625-645, October.
    3. Higashi, Yudai, 2018. "Spatial spillovers in job matching: Evidence from the Japanese local labor markets," Journal of the Japanese and International Economies, Elsevier, vol. 50(C), pages 1-15.
    4. Dongmei Li & Renai Jiang & Zheyuan Lu & Shanghong Sun & Longguo Wang, 2023. "Does the Construction of High-Speed Rail Change the Development of Regional Finance?," Sustainability, MDPI, vol. 15(13), pages 1-27, July.
    5. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    6. Liu, Jingyang & Yang, Haoran, 2023. "Income allocation and distribution along with high-speed rail development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    7. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    8. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Spatial labour market matching," KAE Working Papers 2016-009, Warsaw School of Economics, Collegium of Economic Analysis.
    9. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    10. Zhang, Fangni & Yang, Zhiwei & Jiao, Jingjuan & Liu, Wei & Wu, Wenjie, 2020. "The effects of high-speed rail development on regional equity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 180-202.
    11. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    12. Ángel L. Martín‐Román & Jaime Cuéllar‐Martín & Alfonso Moral, 2020. "Labor supply and the business cycle: The “bandwagon worker effect”," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1607-1642, December.
    13. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    14. Chang, Zheng & Diao, Mi & Jing, Kecen & Li, Weifeng, 2021. "High-speed rail and industrial movement: Evidence from China's Greater Bay Area," Transport Policy, Elsevier, vol. 112(C), pages 22-31.
    15. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    16. Marcin Wozniak, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
    17. Jun‐Teng Ma & Tie‐Ying Liu, 2022. "Does the high‐speed rail network improve economic growth?," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 183-208, February.
    18. Alexandra Fedorets & Franziska Lottmann & Michael Stops, 2019. "Job matching in connected regional and occupational labour markets," Regional Studies, Taylor & Francis Journals, vol. 53(8), pages 1085-1098, August.
    19. Yang, Zhiwei & Li, Can & Jiao, Jingjuan & Liu, Wei & Zhang, Fangni, 2020. "On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China," Transport Policy, Elsevier, vol. 99(C), pages 20-30.
    20. Zhang, Yanyan & Ma, Wenliang & Yang, Hangjun & Wang, Qiang, 2021. "Impact of high-speed rail on urban residents’ consumption in China—from a spatial perspective," Transport Policy, Elsevier, vol. 106(C), pages 1-10.

    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:transa:v:133:y:2020:i:c:p:138-147. 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/wps/find/journaldescription.cws_home/547/description#description .

    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.