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Revitalising the Silk Road: Evidence from Railway Infrastructure Investments in Northwest China

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  • Yu, Lamont Bo

    (University of Macau)

  • Tran, Trang My

    (Monash University)

  • Lee, Wang-Sheng

    (Monash University)

Abstract

China’s Belt and Road Initiative was introduced in 2013 to revitalise the Silk Road and promote economic development and integration. This paper investigates the economic effects of the opening of the only high-speed rail (HSR) line in northwest China which connects China’s northwestern provinces along this Silk Road land route. We use a recently developed machine-learning extended nightlight data series from 2000 to 2019 and employ the ridge augmented synthetic control method (Ben-Michael et al., 2021) to assess the effects of the HSR line connection on economic activity along this Silk Road land route. We further propose an algorithm that helps automate the donor pool selection process while ensuring optimal pre-treatment fitness. Our results show that there are winners and losers from the opening of the Lanzhou–Urumqi HSR line. While there is some indication of the role that HSR can help play in making progress towards breaking through the Hu Huanyong Line, a geographical demarcation in China that is of vast economic significance, not all counties benefited from the opening of the HSR line.

Suggested Citation

  • Yu, Lamont Bo & Tran, Trang My & Lee, Wang-Sheng, 2022. "Revitalising the Silk Road: Evidence from Railway Infrastructure Investments in Northwest China," IZA Discussion Papers 15454, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp15454
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    References listed on IDEAS

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    1. Matthew A. Cole & Robert J R Elliott & Bowen Liu, 2020. "The Impact of the Wuhan Covid-19 Lockdown on Air Pollution and Health: A Machine Learning and Augmented Synthetic Control Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 553-580, August.
    2. Dong, Lei & Du, Rui & Kahn, Matthew & Ratti, Carlo & Zheng, Siqi, 2021. "“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    3. Benjamin Faber, 2014. "Trade Integration, Market Size, and Industrialization: Evidence from China's National Trunk Highway System," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1046-1070.
    4. Bird, Julia & Lebrand, Mathilde & Venables, Anthony J., 2020. "The Belt and Road Initiative: Reshaping economic geography in Central Asia?," Journal of Development Economics, Elsevier, vol. 144(C).
    5. Jia, Junxue & Ma, Guangrong & Qin, Cong & Wang, Liyan, 2020. "Place-based policies, state-led industrialisation, and regional development: Evidence from China's Great Western Development Programme," European Economic Review, Elsevier, vol. 123(C).
    6. Gibson, John & Olivia, Susan & Boe-Gibson, Geua & Li, Chao, 2021. "Which night lights data should we use in economics, and where?," Journal of Development Economics, Elsevier, vol. 149(C).
    7. Chen, Yvonne Jie & Li, Pei & Lu, Yi, 2018. "Career concerns and multitasking local bureaucrats: Evidence of a target-based performance evaluation system in China," Journal of Development Economics, Elsevier, vol. 133(C), pages 84-101.
    8. Lin, Yatang, 2017. "Travel costs and urban specialization patterns: Evidence from China’s high speed railway system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 98-123.
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    More about this item

    Keywords

    high-speed railway; augmented synthetic control; Hu Huanyong Line;
    All these keywords.

    JEL classification:

    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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