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Re-examining Emissions. Is Assessing Convergence Meaningless?

Author

Listed:
  • Mariam Camarero

    (cDepartamento de Economía. Universidad Jaume I. Campus del Riu Sec. Castellón, Spain)

  • Yurena Mendoza

    (Departamento de Economía Aplicada II. Universidad de Valencia. Valencia, Spain)

  • Javier Ordoñez

    (cDepartamento de Economía. Universidad Jaume I. Campus del Riu Sec. Castellón, Spain)

Abstract

This paper sets out to re-examine CO2 emissions for 22 OECD countries over the period 1870–2006. The aim is to help explain mixed evidence regarding convergence in per capita emissions among countries. The paper revolves around two potential sources of inconclusive findings regarding CO2 emissions convergence: firstly, neglecting the step prior to convergence analysis could mislead researchers as the stationary nature of series negates the possibility of convergence; secondly, the nonlinear dynamics of CO2 have not been considered to date. The empirical evidence provided by our methodological strategy suggests that the original per capita CO2 emissions are non-stationary from 1950 onwards, allowing for further convergence study. By the novelty appeal of using nonlinear methods, we conclude that there is strong evidence of divergence among these 22 OECD countries.

Suggested Citation

  • Mariam Camarero & Yurena Mendoza & Javier Ordoñez, 2011. "Re-examining Emissions. Is Assessing Convergence Meaningless?," Working Papers 1104, Department of Applied Economics II, Universidad de Valencia.
    • Handle: RePEc:eec:wpaper:1104
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    File URL: http://repecsrv.uv.es/paper/RePEc/pdf/eec_1104.pdf
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    References listed on IDEAS

    as
    1. Janice Boucher Breuer & Robert McNown & Myles Wallace, 2002. "Series‐specific Unit Root Tests with Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 527-546, December.
    2. Vogelsang, Timothy J & Perron, Pierre, 1998. "Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1073-1100, November.
    3. Breuer, Janice Boucher & McNown, Robert & Wallace, Myles, 2002. "Series-Specific Unit Root Tests with Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 527-546, December.
    4. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, July.
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    Cited by:

    1. Li, Xiao-Lin & Tang, D.P. & Chang, Tsangyao, 2014. "CO2 emissions converge in the 50 U.S. states — Sequential panel selection method," Economic Modelling, Elsevier, vol. 40(C), pages 320-333.
    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. Nilgun Yavuz & Veli Yilanci, 2013. "Convergence in Per Capita Carbon Dioxide Emissions Among G7 Countries: A TAR Panel Unit Root Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(2), pages 283-291, February.

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    More about this item

    Keywords

    CO2 emissions; convergence; non linear test; stationarity; smooth transition;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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