Highlights ► We use a nationally representative data on traffic-related disability (TRD) in China. ► We apply concentration index (CI) to analyze the socioeconomic inequality in TRD. ► Poor adults bear disproportionately heavier burden of TRD in China. ► Reducing income inequality and protecting safety of poor road users are important.

    Abstract Traffic crashes have become the fifth leading cause of burden of diseases and injuries in China. More importantly, it may further aggravate the degree of health inequality among Chinese population, which is still under-investigated. Based on a nationally representative data, we calculated the concentration index (CI) to measure the socioeconomic inequality in traffic-related disability (TRD), and decomposed CI into potential sources of the inequality. Results show that more than 1.5 million Chinese adults were disabled by traffic crashes and the adults with financial disadvantage bear disproportionately heavier burden of TRD. Besides, strategies of reducing income inequality and protecting the safety of poor road users, are of great importance. Residence appears to counteract the socioeconomic inequality in TRD, however, it does not necessarily come to an optimistic conclusion. In addition to the worrying income gap between rural and urban areas, other possible mechanisms, e.g. the low level of post-crash medical resources in rural area, need further studies. China is one of the developing countries undergoing fast motorization and our findings could provide other countries in similar context with some insights about how to maintain socioeconomic equality in road safety.


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    Title :

    The socioeconomic inequality in traffic-related disability among Chinese adults: The application of concentration index


    Contributors:
    Chen, He (author) / Du, Wei (author) / Li, Ning (author) / Chen, Gong (author) / Zheng, Xiaoying (author)

    Published in:

    Publication date :

    2013-02-19


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English