IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/55379.html
   My bibliography  Save this paper

Exploring the relation between urbanization and residential CO2 emissions in China: a PTR approach

Author

Listed:
  • Hu, Zongyi
  • Tang, Liwei

Abstract

Recent empirical work suggests that urbanization and residential CO2 emissions are related. This paper investigates the nonlinear impact of urbanization on residential CO2 emissions over the period 1997–2011 in China by applying the Candelon et al. (2012) methodology. The results show that the relationship between urbanization and residential CO2 emissions is negative over the sample which is inconsistent with the previous studies. In addition, we find the absolute difference of the estimated coefficients in two regimes of urbanization is significant. Keywords: Panel threshold model, urbanization, residential CO2 emissions.

Suggested Citation

  • Hu, Zongyi & Tang, Liwei, 2013. "Exploring the relation between urbanization and residential CO2 emissions in China: a PTR approach," MPRA Paper 55379, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:55379
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/55379/1/MPRA_paper_55379.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    2. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
    3. Zhu, Hui-Ming & You, Wan-Hai & Zeng, Zhao-fa, 2012. "Urbanization and CO2 emissions: A semi-parametric panel data analysis," Economics Letters, Elsevier, vol. 117(3), pages 848-850.
    4. Bertrand Candelon & Gilbert Colletaz & Christophe Hurlin, 2013. "Network Effects and Infrastructure Productivity in Developing Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 887-913, December.
    5. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    6. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    7. Phetkeo Poumanyvong & Shinji Kaneko & Shobhakar Dhakal, 2012. "Impacts of urbanization on national residential energy use and CO2 emissions: Evidence from low-, middle- and high-income countries," IDEC DP2 Series 2-5, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
    8. Liu, Wenling & Wang, Can & Mol, Arthur P.J., 2012. "Rural residential CO2 emissions in China: Where is the major mitigation potential?," Energy Policy, Elsevier, vol. 51(C), pages 223-232.
    9. Matthew A. Cole & Eric Neumayer, 2003. "Examining the Impact of Demographic Factors On Air Pollution," Labor and Demography 0312005, EconWPA, revised 13 May 2004.
    10. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    11. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    12. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M. & Sab, Che Normee Binti Che, 2013. "Exploring the relationship between urbanization, energy consumption, and CO2 emission in MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 107-112.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Residential CO2 emissions; Urbanization; PTR model;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

    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:pra:mprapa:55379. See general 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: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.