IDEAS home Printed from https://ideas.repec.org/p/tas/wpaper/17518.html

Are Per Capita CO2 Emissions Increasing Among OECD Countries? A Test of Trends and Breaks

Author

Abstract

We empirically analyze the trend characteristics of per capita CO2 emissions in OECD countries from 1971 to 2009. We use a statistically robust procedure, which is valid regardless of whether per capita CO2 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 CO2 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

  • Yamazaki, Satoshi & Tian, Jing & Tchatoka, Firmin Doko, 2013. "Are Per Capita CO2 Emissions Increasing Among OECD Countries? A Test of Trends and Breaks," Working Papers 17518, University of Tasmania, Tasmanian School of Business and Economics, revised 29 Sep 2013.
    • Handle: RePEc:tas:wpaper:17518
    as

    Download full text from publisher

    File URL: http://eprints.utas.edu.au/17158/1/2013-09_YamazakiTianDoko.pdf
    Download Restriction: no
    ---><---

    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. Perron, P, 1993. "Erratum [The Great Crash, the Oil Price Shock and the Unit Root Hypothesis]," Econometrica, Econometric Society, vol. 61(1), pages 248-249, January.
    3. 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.
    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. 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.
    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. 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.

    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. Stern, David I. & Gerlagh, Reyer & Burke, Paul J., 2017. "Modeling the emissions–income relationship using long-run growth rates," Environment and Development Economics, Cambridge University Press, vol. 22(6), pages 699-724, December.
    2. 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).
    3. 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.
    4. Csereklyei, Zsuzsanna & Stern, David I., 2015. "Global energy use: Decoupling or convergence?," Energy Economics, Elsevier, vol. 51(C), pages 633-641.
    5. David I.Stern, 2009. "Between estimates of the environmental Kuznets curve," Environmental Economics Research Hub Research Reports 0934, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    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. Firouz Fallahi & Gabriel Rodríguez, 2011. "Convergence In The Canadian Provinces: Evidence Using Unemployment Rates," Documentos de Trabajo / Working Papers 2011-322, Departamento de Economía - Pontificia Universidad Católica del Perú.
    8. Veli Yilanci & Recep Ulucak & Yaoqi Zhang & Valeria Andreoni, 2023. "The role of affluence, urbanization, and human capital for sustainable forest management in China: Robust findings from a new method of Fourier cointegration," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 812-824, April.
    9. 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.
    10. Inmaculada Martinez‐Zarzoso & Antonello Maruotti, 2013. "The environmental Kuznets curve: functional form, time‐varying heterogeneity and outliers in a panel setting," Environmetrics, John Wiley & Sons, Ltd., vol. 24(7), pages 461-475, November.
    11. Matthew A. Cole & Andrea Lucchesi, 2014. "Economic growth and the environment," Chapters, in: Giles Atkinson & Simon Dietz & Eric Neumayer & Matthew Agarwala (ed.), Handbook of Sustainable Development, chapter 16, pages 252-266, Edward Elgar Publishing.
    12. Zaklan, Aleksandar & Abrell, Jan & Neumann, Anne, 2016. "Stationarity changes in long-run energy commodity prices," Energy Economics, Elsevier, vol. 59(C), pages 96-103.
    13. Francisco Estrada & Pierre Perron, 2019. "Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 1-31.
    14. Pierre Perron & Mototsugu Shintaniz & Tomoyoshi Yabu, 2020. "Trigonometric Trend Regressions of Unknown Frequencies with Stationary or Integrated Noise," Boston University - Department of Economics - Working Papers Series WP2020-012, Boston University - Department of Economics.
    15. Stern, David I., 2010. "Between estimates of the emissions-income elasticity," Ecological Economics, Elsevier, vol. 69(11), pages 2173-2182, September.
    16. Massimiliano Mazzanti & Antonio Musolesi, 2010. "Carbon Abatement Leaders and Laggards Non Parametric Analyses of Policy Oriented Kuznets Curves," Working Papers 2010.149, Fondazione Eni Enrico Mattei.
    17. Stern, David I., 2014. "The Environmental Kuznets Curve: A Primer," Working Papers 249424, Australian National University, Centre for Climate Economics & Policy.
    18. 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.
    19. 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).
    20. Juan Carlos Cuestas & Luis A. Gil-Alana & Laura Sauci, 2020. "Public finances in the EU-27: Are they sustainable?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(1), pages 181-204, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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

    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:tas:wpaper:17518. 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: Oscar Pavlov (email available below). General contact details of provider: https://edirc.repec.org/data/dutasau.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.