In recent years, the traffic congestion problem in Beijing during peak hours has attracted more and more attention. And a series of charging policies or researches were designed to relieve the congestion. In this article, we focus on the per-kilometer congestion tax and carry on empirical analysis to measure its progressivity. Based on the survey data,we calculate the mileage of each sample, add them up, and divide these samples into different groups according to income level and spatial district. Then we introduce the Suit index to analyze income and spatial distributional effects of the per-kilometer congestion tax among different groups. It is found that a per-kilometer congestion tax is regressive in terms of the income distribution. That is, compared to higher income group, the lower would pay more for the tax. And in the case of spatial distribution, the tax is progressive. That is, compared to urban counterparts, the rural residents would bear more tax burden. Finally, the econometric multiple regression method was applied to explain the characteristics of resident commuting mileages in Beijing. The result suggests that the highly educated residents tend to travel far for work.


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    Title :

    The Progressivity of a Per-kilometer Congestion Tax in Beijing


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wuhong (editor) / Baumann, Martin (editor) / Jiang, Xiaobei (editor) / Yu, Tian (author)


    Publication date :

    2020-03-24


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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