Redistributive Impacts of Personal Income Tax in Urban China
AbstractThe purpose of this paper is to evaluate the redistributive effects of the personal income tax (PIT). Information on the PIT reported in the household survey substantially understates the real tax liability borne by households. The redistributive effects of the personal income tax would be undervalued if the information was used. In order to correct the underestimation of the PIT by non-reporting in our dataset, we apply the tax schedule and impute the tax liability for the individuals in our sample according to the components of their earned income. This imputed tax liability is used to calculate the MT index, the most commonly used measure of the redistributive effects of taxes and governmental subsidies, and to decompose the MT index into the effects of horizontal equity and vertical equity. The MT index and its decomposition show that the personal income tax does reduce inequality, but the effect is small and negligible. The low average personal income tax rate is the main reason why it fails to contribute more to improving inequality.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Institute of Economic Research, Hitotsubashi University in its series Global COE Hi-Stat Discussion Paper Series with number gd11-228.
Date of creation: Mar 2012
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-04-03 (All new papers)
- NEP-PBE-2012-04-03 (Public Economics)
- NEP-TRA-2012-04-03 (Transition Economics)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tatsuji Makino).
If references are entirely missing, you can add them using this form.