IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v51y2019i20p2172-2194.html
   My bibliography  Save this article

Numerical simulation on property tax reform: evidence from China

Author

Listed:
  • Hui Wang
  • Yanyi Wang
  • Shunming Zhang

Abstract

This article analyses the property tax reform in China in a computable general equilibrium model that recognizes the interaction between and among housing markets in different provinces and macroeconomic development. Using real data in 2010, we present the benchmark equilibrium for reference property and income tax rates. Then, we examine different property and income tax policies and make a comparison of their production, consumption, welfare and national income. We find that the implementation of property tax would decrease the house production at the expense of welfare in taxed area. The expansion of the taxed regions may increase the total social welfare and national income. Even though property tax policy may not be able to change the income distribution in China, increasing income tax rate could narrow the income disparity. Finally, this article shows the reliability of the conclusions when sensitivity analysis on optimal condition of equilibrium computation is performed under varied property tax policy.

Suggested Citation

  • Hui Wang & Yanyi Wang & Shunming Zhang, 2019. "Numerical simulation on property tax reform: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 51(20), pages 2172-2194, April.
    • Handle: RePEc:taf:applec:v:51:y:2019:i:20:p:2172-2194
    DOI: 10.1080/00036846.2018.1540852
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2018.1540852
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2018.1540852?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Deng, Qiu Shi & Alvarado, Rafael & Cheng, Fang Nan & Cuesta, Lizeth & Wang, Chun Bao & Pinzón, Stefania, 2023. "Long-run mechanism for house price regulation in China: Real estate tax, monetary policy or macro-prudential policy?," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 174-186.
    2. Lyu, Xueying, 2024. "Revisiting property tax capitalization," Regional Science and Urban Economics, Elsevier, vol. 108(C).
    3. Huang Helen Hui & Wang Hui & Wei Zexin & Xia Jiawei & Zhang Shunming, 2021. "Restrictions of the Islamic Financial System and Counterpart Financial Support for Xinjiang," Journal of Systems Science and Information, De Gruyter, vol. 9(2), pages 105-130, April.
    4. Yuzhe Wu & Huiqiong Zhu & Sheng Zheng, 2022. "The Local Land Finance Transformation with the Synergy of Increment and Inventory: A Case Study in China," Land, MDPI, vol. 11(9), pages 1-18, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:51:y:2019:i:20:p:2172-2194. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.