IDEAS home Printed from https://ideas.repec.org/p/ags/aaea13/149006.html
   My bibliography  Save this paper

Spatial Analysis of China Provincial-Level CO2 Emission Intensity

Author

Listed:
  • Zhao, Xueting
  • Burnett, J. Wesley
  • Fletcher, Jerald J.

Abstract

This study offers a unique contribution to the literature by investigating the influential factors of energy-related carbon dioxide emission intensity among a panel of 30 provinces in China covering the period 1991-2010. We use novel spatial panel data models to analyze the drivers of energy-related emission intensity, which we posit are characterized by spatial dependence. Our results suggest: (1) emission intensities are negatively affected by per-capita, provincial-level GDP and population density; (2) emission intensities are positively affected by energy consumption structure and transportation structure; and (3) energy price has no effect on the emission intensities.

Suggested Citation

  • Zhao, Xueting & Burnett, J. Wesley & Fletcher, Jerald J., 2013. "Spatial Analysis of China Provincial-Level CO2 Emission Intensity," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149006, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea13:149006
    DOI: 10.22004/ag.econ.149006
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/149006/files/Paper%20submitted%20to%20AAEA%202013_Xueting%20Zhao.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.149006?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
    ---><---

    References listed on IDEAS

    as
    1. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    2. Joseph E. Aldy, 2007. "Divergence in State-Level Per Capita Carbon Dioxide Emissions," Land Economics, University of Wisconsin Press, vol. 83(3), pages 353-369.
    3. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    4. Auffhammer, Maximilian & Carson, Richard T., 2008. "Forecasting the path of China's CO2 emissions using province-level information," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 229-247, May.
    5. Li, Huanan & Mu, Hailin & Zhang, Ming & Li, Nan, 2011. "Analysis on influence factors of China's CO2 emissions based on Path–STIRPAT model," Energy Policy, Elsevier, vol. 39(11), pages 6906-6911.
    6. Joseph Aldy, 2006. "Per Capita Carbon Dioxide Emissions: Convergence or Divergence?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(4), pages 533-555, April.
    7. Hang, Leiming & Tu, Meizeng, 2007. "The impacts of energy prices on energy intensity: Evidence from China," Energy Policy, Elsevier, vol. 35(5), pages 2978-2988, May.
    8. Markusen, James R. & Morey, Edward R. & Olewiler, Nancy, 1995. "Competition in regional environmental policies when plant locations are endogenous," Journal of Public Economics, Elsevier, vol. 56(1), pages 55-77, January.
    9. Stern, David I. & Common, Michael S. & Barbier, Edward B., 1996. "Economic growth and environmental degradation: The environmental Kuznets curve and sustainable development," World Development, Elsevier, vol. 24(7), pages 1151-1160, July.
    10. Rothman, Dale S., 1998. "Environmental Kuznets curves--real progress or passing the buck?: A case for consumption-based approaches," Ecological Economics, Elsevier, vol. 25(2), pages 177-194, May.
    11. Conley, Timothy G & Ligon, Ethan, 2002. "Economic Distance and Cross-Country Spillovers," Journal of Economic Growth, Springer, vol. 7(2), pages 157-187, June.
    12. Itkonen, Juha V.A., 2012. "Problems estimating the carbon Kuznets curve," Energy, Elsevier, vol. 39(1), pages 274-280.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mulder, Peter & de Groot, Henri L.F., 2012. "Structural change and convergence of energy intensity across OECD countries, 1970–2005," Energy Economics, Elsevier, vol. 34(6), pages 1910-1921.
    2. Zhao, Xueting & Burnett, J. Wesley & Lacombe, Donald J., 2014. "Province-level Convergence of China CO2 Emission Intensity," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169403, Agricultural and Applied Economics Association.
    3. Wan, Jun & Baylis, Kathy & Mulder, Peter, 2015. "Trade-facilitated technology spillovers in energy productivity convergence processes across EU countries," Energy Economics, Elsevier, vol. 48(C), pages 253-264.
    4. Dayong Zhang & David C. Broadstock, 2016. "Club Convergence in the Energy Intensity of China," The Energy Journal, , vol. 37(3), pages 137-158, July.
    5. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    6. Juan Antonio Duro & Jordi Teixidó-Figueras & Emilio Padilla, 2014. "The causal factors of international inequality in co2 emissions per capita: a regression-based inequality decomposition analysis," Working Papers 2014/20, Institut d'Economia de Barcelona (IEB).
    7. Huang, Junbing & Hao, Yu & Lei, Hongyan, 2018. "Indigenous versus foreign innovation and energy intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1721-1729.
    8. Juan Antonio Duro & Jordi Teixidó-Figueras & Emilio Padilla, 2017. "The Causal Factors of International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Per Capita: A Regression-Based Inequality Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 683-700, August.
    9. Dong Hee Suh, 2018. "An Entropy Approach to Regional Differences in Carbon Dioxide Emissions: Implications for Ethanol Usage," Sustainability, MDPI, vol. 10(1), pages 1-11, January.
    10. Ling Xiong & Shaozhou Qi, 2018. "Financial Development And Carbon Emissions In Chinese Provinces: A Spatial Panel Data Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 447-464, March.
    11. Burnett, J. Wesley, 2016. "Club convergence and clustering of U.S. energy-related CO2 emissions," Resource and Energy Economics, Elsevier, vol. 46(C), pages 62-84.
    12. Massimiliano Mazzanti & Antonio Musolesi, 2009. "Carbon Kuznets Curves: Long-run Structural Dynamics and Policy Events," Working Papers 2009.87, Fondazione Eni Enrico Mattei.
    13. Le Pen, Yannick & Sévi, Benoît, 2010. "On the non-convergence of energy intensities: Evidence from a pair-wise econometric approach," Ecological Economics, Elsevier, vol. 69(3), pages 641-650, January.
    14. Dobes Leo & Jotzo Frank & Stern David I., 2014. "The Economics of Global Climate Change: A Historical Literature Review," Review of Economics, De Gruyter, vol. 65(3), pages 281-320, December.
    15. Lijie Gao & Xiaoqi Shang & Fengmei Yang & Longyu Shi, 2021. "A Dynamic Benchmark System for Per Capita Carbon Emissions in Low-Carbon Counties of China," Energies, MDPI, vol. 14(3), pages 1-16, January.
    16. Melenberg, B. & Vollebergh, H.R.J. & Dijkgraaf, E., 2011. "Grazing the Commons : Global Carbon Emissions Forever?," Discussion Paper 2011-020, Tilburg University, Center for Economic Research.
    17. Wang, Yiming & Zhang, Pei & Huang, Dake & Cai, Changda, 2014. "Convergence behavior of carbon dioxide emissions in China," Economic Modelling, Elsevier, vol. 43(C), pages 75-80.
    18. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
    19. Salvati, Luca & Zitti, Marco, 2008. "Regional convergence of environmental variables: Empirical evidences from land degradation," Ecological Economics, Elsevier, vol. 68(1-2), pages 162-168, December.
    20. LAWSON, Laté A. & MARTINO, Roberto & NGUYEN-VAN, Phu, 2020. "Environmental convergence and environmental Kuznets curve: A unified empirical framework," Ecological Modelling, Elsevier, vol. 437(C).

    More about this item

    Keywords

    Environmental Economics and Policy; Resource/Energy Economics and Policy;

    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:aaea13:149006. 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.

    If CitEc recognized a bibliographic 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.

    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/aaeaaea.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.