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CO2 emissions and economic activity: heterogeneity across countries and non stationary series

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  • Matías Piaggio

    () (Department d’Economia Aplicada, Universitat Autònoma de Barcelona)

  • Emilio Padilla

    () (Department d’Economia Aplicada, Universitat Autònoma de Barcelona)

Abstract

This paper explores the homogeneity of the functional form, the parameters, and the turning point, when appropriate, of the relationship between CO2 emissions and economic activity for 31 countries (28 OECD, Brazil, China, and India) during the period 1950 to 2006 using cointegration analysis. With a sample highly overlapped over time between countries, the result reveals that the homogeneity across countries is rejected, both in functional form and in the parameters of long term relationship. This confirms the relevance of considering the heterogeneity in exploring the relationship between air pollution and economic activity to avoid spurious parameter estimates and infer a wrong behavior of the functional form, which could lead to induce that the relationship is reversed when in fact it is direct.

Suggested Citation

  • Matías Piaggio & Emilio Padilla, 2010. "CO2 emissions and economic activity: heterogeneity across countries and non stationary series," Documentos de Trabajo de la Asociación de Economía Ecológica en España 01_2010, Asociación de Economía Ecológica en España.
  • Handle: RePEc:res:dtecoe:01_2010.pdf
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    Cited by:

    1. Matias Piaggio & Emilio Padilla & Carolina Roman, 2015. "The long-run relationshiop between C02 emissions and economic activity in a small open economy: Uruguay 1882-2010," Working Papers wpdea1506, Department of Applied Economics at Universitat Autonoma of Barcelona.
    2. 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).
    3. repec:eee:rensus:v:74:y:2017:i:c:p:1336-1345 is not listed on IDEAS
    4. Chan, Nigel & Wang, Qiying, 2015. "Nonlinear regressions with nonstationary time series," Journal of Econometrics, Elsevier, vol. 185(1), pages 182-195.
    5. Pablo-Romero, María del P. & De Jesús, Josué, 2016. "Economic growth and energy consumption: The Energy-Environmental Kuznets Curve for Latin America and the Caribbean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1343-1350.
    6. Furuoka, Fumitaka, 2015. "The CO2 emissions–development nexus revisited," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1256-1275.
    7. Özbuğday, Fatih Cemil & Erbas, Bahar Celikkol, 2015. "How effective are energy efficiency and renewable energy in curbing CO2 emissions in the long run? A heterogeneous panel data analysis," Energy, Elsevier, vol. 82(C), pages 734-745.
    8. Beate Jochimsen & Christian Raffer, 2016. "Herausforderungen bei der Messung von Wohlfahrt," Discussion Papers of DIW Berlin 1595, DIW Berlin, German Institute for Economic Research.
    9. 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.
    10. repec:eee:eneeco:v:65:y:2017:i:c:p:271-282 is not listed on IDEAS
    11. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "The changing of the relationships between carbon footprints and final demand: Panel data evidence for 40 major countries," Energy Economics, Elsevier, vol. 61(C), pages 8-20.
    12. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
    13. repec:eee:energy:v:125:y:2017:i:c:p:44-54 is not listed on IDEAS
    14. Mariana Conte Grand & Vanesa D´Elia, 2013. "Using the Box-Cox transformation to approximate the shape of the relationship between CO2 emissions and GDP: a note," CEMA Working Papers: Serie Documentos de Trabajo. 513, Universidad del CEMA.
    15. Shahbaz, Muhammad & Sbia, Rashid & Hamdi, Helmi, 2013. "The Environmental cost of Skiing in the Desert? Evidence from Cointegration with unknown Structural breaks in UAE," MPRA Paper 48007, University Library of Munich, Germany, revised 03 Jul 2013.
    16. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.
    17. Roach, Travis, 2013. "A dynamic state-level analysis of carbon dioxide emissions in the United States," Energy Policy, Elsevier, vol. 59(C), pages 931-937.
    18. Pablo-Romero, María del P. & Pozo-Barajas, Rafael & Sánchez-Braza, Antonio, 2016. "Analyzing the effects of Energy Action Plans on electricity consumption in Covenant of Mayors signatory municipalities in Andalusia," Energy Policy, Elsevier, vol. 99(C), pages 12-26.

    More about this item

    Keywords

    Bound testing; cointegration; CO2 emissions; environmental Kuznets curve; heterogeneity;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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