IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v21y2014i8p569-572.html
   My bibliography  Save this article

Are per capita CO 2 emissions increasing among OECD countries? A test of trends and breaks

Author

Listed:
  • Satoshi Yamazaki
  • Jing Tian
  • Firmin Doko Tchatoka

Abstract

We empirically analyse the trend characteristics of per capita CO 2 emissions in OECD countries from 1971 to 2009. We use a statistically robust procedure, which is valid regardless of whether per capita CO 2 emissions are trend stationary or contain a stochastic trend, to test for the presence of a deterministic trend and a structural break in the trend. Our results suggest that the trend in per capita CO 2 emissions shifts downward or is reversed for a number of OECD countries either after the 1970s oil shocks or during the early- to mid-2000s.

Suggested Citation

  • Satoshi Yamazaki & Jing Tian & Firmin Doko Tchatoka, 2014. "Are per capita CO 2 emissions increasing among OECD countries? A test of trends and breaks," Applied Economics Letters, Taylor & Francis Journals, vol. 21(8), pages 569-572, May.
  • Handle: RePEc:taf:apeclt:v:21:y:2014:i:8:p:569-572
    DOI: 10.1080/13504851.2013.875103
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2013.875103
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2013.875103?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Burke, Paul J., 2010. "Income, resources, and electricity mix," Energy Economics, Elsevier, vol. 32(3), pages 616-626, May.
    2. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    3. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    4. Vollebergh, Herman R.J. & Melenberg, Bertrand & Dijkgraaf, Elbert, 2009. "Identifying reduced-form relations with panel data: The case of pollution and income," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 27-42, July.
    5. Perron, Pierre & Yabu, Tomoyoshi, 2009. "Estimating deterministic trends with an integrated or stationary noise component," Journal of Econometrics, Elsevier, vol. 151(1), pages 56-69, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Mohammed Kharbach & Adnan Belakhdar & Tarik Chfadi, 2021. "A Growth Curve Model for CO2 Emissions in G19 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 365-368.
    2. Ahmed, Mumtaz & Khan, Atif Maqbool & Bibi, Salma & Zakaria, Muhammad, 2017. "Convergence of per capita CO2 emissions across the globe: Insights via wavelet analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 86-97.
    3. Balsalobre-Lorente, Daniel & Driha, Oana M. & Bekun, Festus & Sinha, Avik & Fatai Adedoyin, Festus, 2020. "Consequences of COVID-19 on the social isolation of the Chinese economy: accounting for the role of reduction in carbon emissions," MPRA Paper 102894, University Library of Munich, Germany, revised 2020.

    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. Anjum, Zeba & Burke, Paul J. & Gerlagh, Reyer & Stern, David I., "undated". "Modeling the Emissions-Income Relationship Using Long-Run Growth Rates," Working Papers 249422, Australian National University, Centre for Climate Economics & Policy.
    2. Csereklyei, Zsuzsanna & Stern, David I., 2015. "Global energy use: Decoupling or convergence?," Energy Economics, Elsevier, vol. 51(C), pages 633-641.
    3. Mazzanti, M. & Musolesi, A., 2013. "Economic development and CO2 emissions: assessing the effect of policy and energy time events for advanced countries," Working Papers 2013-11, Grenoble Applied Economics Laboratory (GAEL).
    4. Massimiliano Mazzanti & Antonio Musolesi, 2012. "Breaking Environmental Kuznets Curves. Evaluating Energy and Policy Time Events Effects on CO2 Trends for Advanced Countries," Working Papers 201214, University of Ferrara, Department of Economics.
    5. Stern, David I., 2009. "Between Estimates of the Environmental Kuznets Curve," Research Reports 94883, Australian National University, Environmental Economics Research Hub.
    6. Maurizio Lisciandra & Carlo Migliardo, 2017. "An Empirical Study of the Impact of Corruption on Environmental Performance: Evidence from Panel Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 297-318, October.
    7. Atanu Ghoshray & Madhavi Pundit, 2021. "Economic growth in China and its impact on international commodity prices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2776-2789, April.
    8. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
    9. Zaklan, Aleksandar & Abrell, Jan & Neumann, Anne, 2016. "Stationarity changes in long-run energy commodity prices," Energy Economics, Elsevier, vol. 59(C), pages 96-103.
    10. Pierre Perron & Francisco Estrada, 2012. "Breaks, trends and the attribution of climate change: a time-series analysis," Boston University - Department of Economics - Working Papers Series WP2012-013, Boston University - Department of Economics.
    11. Stern, David I., 2010. "Between estimates of the emissions-income elasticity," Ecological Economics, Elsevier, vol. 69(11), pages 2173-2182, September.
    12. Stern, David I., 2014. "The Environmental Kuznets Curve: A Primer," Working Papers 249424, Australian National University, Centre for Climate Economics & Policy.
    13. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2010. "Robust methods for detecting multiple level breaks in autocorrelated time series," Journal of Econometrics, Elsevier, vol. 157(2), pages 342-358, August.
    14. Francisco Estrada & Luis Filipe Martins & Pierre Perron, 2017. "Characterizing and attributing the warming trend in sea and land surface temperatures," Boston University - Department of Economics - Working Papers Series WP2017-009, Boston University - Department of Economics.
    15. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    16. Pascalau, Razvan & Qirjo, Dhimitri, 2017. "TTIP and the Environmental Kuznets Curve," MPRA Paper 80192, University Library of Munich, Germany.
    17. Thomas Jobert & Fatih Karanfil & Anna Tykhonenko, 2012. "Trade and Environment: Further Empirical Evidence from Heterogeneous Panels Using Aggregate Data," GREDEG Working Papers 2012-15, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    18. Mohitosh Kejriwal & Claude Lopez, 2013. "Unit Roots, Level Shifts, and Trend Breaks in Per Capita Output: A Robust Evaluation," Econometric Reviews, Taylor & Francis Journals, vol. 32(8), pages 892-927, November.
    19. Sanchez, Luis F. & Stern, David I., 2016. "Drivers of industrial and non-industrial greenhouse gas emissions," Ecological Economics, Elsevier, vol. 124(C), pages 17-24.
    20. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2013. "Unit roots, non-linearities and structural breaks," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 4, pages 61-94, Edward Elgar Publishing.

    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    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:apeclt:v:21:y:2014:i:8:p:569-572. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.