IDEAS home Printed from https://ideas.repec.org/p/ags/saea17/252667.html
   My bibliography  Save this paper

Estimating the Impact of Central Winter Heating on Air Quality in China

Author

Listed:
  • Wang, Meijuan

Abstract

We use a difference in difference model to examine the impact of central winter heating on air pollution in China. The estimation includes how does the winter heating affect (i) air quality, and (ii) hazard level of pollutants. Our data are daily Air Quality Index (AQI) records in mid-November when the heat is turned on and mid-March when heat is turned off in over 150 cities. Both Ordinary Least Square (OLS) and Ordered Logit model show that winter heating contributes significantly to air pollution, especially in the period when central heating is switched on. The central heating causes 51.3% higher AQI, and the air is 13% more likely to be hazardous to the sensitive group (hazard level=3). Northern cities are more polluted than southern ones. It is also found that air quality in cities with higher GDP per capita is better; population, number of cars and electricity used by industry also contribute to air pollution.

Suggested Citation

  • Wang, Meijuan, 2016. "Estimating the Impact of Central Winter Heating on Air Quality in China," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252667, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea17:252667
    DOI: 10.22004/ag.econ.252667
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/252667/files/Research%20Paper_Meijuan%20Wang.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.252667?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
    ---><---

    More about this item

    Keywords

    Environmental Economics and Policy; Public Economics; Resource /Energy Economics and Policy;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:saea17:252667. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    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.