IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i8p776-d75789.html
   My bibliography  Save this article

Comparison of Socioeconomic Factors between Surrounding and Non-Surrounding Areas of the Qinghai–Tibet Railway before and after Its Construction

Author

Listed:
  • Shicheng Li

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zhaofeng Wang

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China)

  • Yili Zhang

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China)

  • Yukun Wang

    (College of Life and Geographical Science, Qinghai Normal University, Xining 810008, China)

  • Fenggui Liu

    (College of Life and Geographical Science, Qinghai Normal University, Xining 810008, China)

Abstract

As the world’s highest railway, and the longest highland railway, the Qinghai–Tibet Railway (QTR) has been paid considerable attention by researchers. However, most attention has been paid to the ecological and environmental issues affecting it, and sustainable ecological, social, and economic development-related studies of the QTR are rare. In this study, by analyzing the passenger traffic, freight traffic, passenger-kilometers, and freight-kilometers of the QTR for the period 1982–2013 and the transport structure of the Tibetan Plateau (TP) for 1990–2013, the evolutionary process of the transport system in the TP following the construction of the QTR has been revealed. Subsequently, by comparing Gross Domestic Product (GDP), population, industrial structure, and urbanization level at the county and 1 km scales between surrounding and non-surrounding areas of the QTR, the differences in socioeconomic performance before and after its construction were detected. The results show that (1) in the TP, the highway-dominated transport system will break up and an integrated and sustainable transport system will form; (2) at the county scale, the annual growth rates of GDP of counties surrounding the QTR were greater than those of non-surrounding counties for the period 2000–2010. At the 1 km scale, following the opening of the completed line, the GDP of surrounding areas had a greater growth rate than before; (3) analysis at the county and 1 km scales indicated that population was not aggregated into the surrounding areas of the QTR in the period 2000–2010; (4) in terms of industrial structure, the proportion of primary industry decreased continuously, while the proportion of secondary and tertiary industries increased overall in the period 1984–2012. The QTR had no obvious impact on changes in the urbanization level of its surrounding areas.

Suggested Citation

  • Shicheng Li & Zhaofeng Wang & Yili Zhang & Yukun Wang & Fenggui Liu, 2016. "Comparison of Socioeconomic Factors between Surrounding and Non-Surrounding Areas of the Qinghai–Tibet Railway before and after Its Construction," Sustainability, MDPI, vol. 8(8), pages 1-17, August.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:776-:d:75789
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/8/776/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/8/776/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    2. Muzhao Jin & Youwei Li & Jianxin Wang & Yung Chiang Yang, 2018. "Price discovery in the Chinese gold market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1262-1281, October.
    3. Francesco Russo & Antonio Comi, 2016. "Urban Freight Transport Planning towards Green Goals: Synthetic Environmental Evidence from Tested Results," Sustainability, MDPI, vol. 8(4), pages 1-18, April.
    4. Jane Qiu, 2007. "Riding on the roof of the world," Nature, Nature, vol. 449(7161), pages 398-402, September.
    5. Ozbay, Kaan & Ozmen-Ertekin, Dilruba & Berechman, Joseph, 2007. "Contribution of transportation investments to county output," Transport Policy, Elsevier, vol. 14(4), pages 317-329, July.
    6. Wang, Jiaoe & Jin, Fengjun & Mo, Huihui & Wang, Fahui, 2009. "Spatiotemporal evolution of China's railway network in the 20th century: An accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 765-778, October.
    7. Michael R. Haines & Robert A. Margo, 2006. "Railroads and Local Economic Development: The United States in the 1850s," NBER Working Papers 12381, National Bureau of Economic Research, Inc.
    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. Gao, Deng & Li, Shicheng, 2022. "Spatiotemporal impact of railway network in the Qinghai-Tibet Plateau on accessibility and economic linkages during 1984–2030," Journal of Transport Geography, Elsevier, vol. 100(C).
    2. Shicheng Li & Jian Gong & Qinghai Deng & Tianyu Zhou, 2018. "Impacts of the Qinghai–Tibet Railway on Accessibility and Economic Linkage of the Third Pole," Sustainability, MDPI, vol. 10(11), pages 1-17, October.

    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. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun & Dunford, Michael, 2014. "Impacts on accessibility of China’s present and future HSR network," Journal of Transport Geography, Elsevier, vol. 40(C), pages 123-132.
    2. Weichen Liu & Jiaying Guo & Wei Wu & Youhui Cao, 2022. "The evolution of regional spatial structure influenced by passenger rail service: A case study of the Yangtze River Delta," Growth and Change, Wiley Blackwell, vol. 53(2), pages 651-679, June.
    3. Shicheng Li & Jian Gong & Qinghai Deng & Tianyu Zhou, 2018. "Impacts of the Qinghai–Tibet Railway on Accessibility and Economic Linkage of the Third Pole," Sustainability, MDPI, vol. 10(11), pages 1-17, October.
    4. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    5. Xueyi Qin & Yongsheng Qian & Junwei Zeng & Xuting Wei, 2022. "Accessibility and Economic Connections between Cities of the New Western Land–Sea Corridor in China—Enlightenments to the Passageway Strategy of Gansu Province," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    6. Anyu Chen & Yueran Li & Kunhui Ye & Tianyi Nie & Rui Liu, 2021. "Does Transport Infrastructure Inequality Matter for Economic Growth? Evidence from China," Land, MDPI, vol. 10(8), pages 1-21, August.
    7. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun, 2017. "Impacts of high-speed rail lines on the city network in China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 257-266.
    8. 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.
    9. 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.
    10. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    11. 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.
    12. Lan, Xiujuan & Hu, Zheneng & Wen, Chuanhao, 2023. "Does the opening of high-speed rail enhance urban entrepreneurial activity? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    13. Chen, Shaopei & Claramunt, Christophe & Ray, Cyril, 2014. "A spatio-temporal modelling approach for the study of the connectivity and accessibility of the Guangzhou metropolitan network," Journal of Transport Geography, Elsevier, vol. 36(C), pages 12-23.
    14. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    15. Fei Yang & Chunchen Wang, 2023. "Clean energy, emission trading policy, and CO2 emissions: Evidence from China," Energy & Environment, , vol. 34(5), pages 1657-1673, August.
    16. Dave Donaldson & Richard Hornbeck, 2016. "Railroads and American Economic Growth: A "Market Access" Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 799-858.
    17. 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.
    18. Rui Xiao & Guofeng Wang & Meng Wang, 2018. "Transportation Disadvantage and Neighborhood Sociodemographics: A Composite Indicator Approach to Examining Social Inequalities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 29-43, May.
    19. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    20. Lei Ming & Xinran Zhang & Qianqiu Liu & Shenggang Yang, 2020. "A revisit to the hedge and safe haven properties of gold: New evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(9), pages 1442-1456, September.

    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:gam:jsusta:v:8:y:2016:i:8:p:776-:d:75789. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.