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The relationship between traffic accidents and economic growth in China

Author

Listed:
  • Kazuyuki Iwata

    (Tohoku University)

Abstract

Using province-level panel data in China, we examine the relationship between traffic accidents and economic growth. A semiparametric partial linear model is used to account for potential nonlinearity in the relationship. The estimation results indicate that the relationship exhibits an inverted U-shaped pattern; traffic fatality and injury increase as provincial GDP per capita rise up to about $1500 and $4000 respectively, and decline thereafter. Unlike cross-country studies in the literature, we show that traffic fatalities in the entire China are already in a decreasing phase.

Suggested Citation

  • Kazuyuki Iwata, 2010. "The relationship between traffic accidents and economic growth in China," Economics Bulletin, AccessEcon, vol. 30(4), pages 3306-3314.
    • Handle: RePEc:ebl:ecbull:eb-10-00255
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    File URL: http://www.accessecon.com/Pubs/EB/2010/Volume30/EB-10-V30-I4-P305.pdf
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    Citations

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    Cited by:

    1. Harizi Riadh, 2021. "Land artificialization, economic growth, and road insecurity: Theoretical improvements and empirical validation for the case of Algeria," Technium Social Sciences Journal, Technium Science, vol. 18(1), pages 241-255, April.
    2. Aney, Madhav S. & Ho, Christine, 2019. "Deadlier road accidents? Traffic safety regulations and heterogeneous motorists’ behavior," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 155-171.
    3. Andrés Ramasco, 2023. "Not a Sip: Effects of Zero Tolerance Laws on Road Traffic Fatalities," Working Papers 289, Red Nacional de Investigadores en Economía (RedNIE).
    4. Sidan Li & Shibing You & Duochenxi Liu & Yukun Wang, 2023. "National Quality and Sustainable Development: An Empirical Analysis Based on China’s Provincial Panel Data," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    5. repec:thr:techub:10018:y:2021:i:1:p:241-255 is not listed on IDEAS

    More about this item

    Keywords

    Traffic Accidents; Economic Growth; China; Semiparametric Analysis;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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