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Analysis of the main drivers of CO2 emissions changes in Colombia (1990–2012) and its political implications

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  • Román, Rocío
  • Cansino, José M.
  • Rodas, José A.

Abstract

In this study, an Index Decomposition Analysis-Logarithmic Mean Divisia Index (IDA-LMDI) model was developed to find the drivers behind the changes in CO2 emissions between 1990 and 2012 in Colombia. The results facilitate the assessment of the impact in Colombia of the main measures regarding the mitigation of CO2 emissions. Likewise, it allows us to analyze whether the recent measures implemented by the Colombian authorities to mitigate emissions are moving in the right direction. To carry out the decomposition analysis, six effects were taken into consideration: carbonization, the substitution of fossil fuels, the penetration of renewable energy, energy intensity, wealth and population. The effects of income and population appear as drivers of emissions for the period analyzed. A stylized analysis allows richer conclusions to be extracted regarding a battery of recommendations for emission mitigation policies that are compatible with economic growth in Colombia.

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  • Román, Rocío & Cansino, José M. & Rodas, José A., 2018. "Analysis of the main drivers of CO2 emissions changes in Colombia (1990–2012) and its political implications," Renewable Energy, Elsevier, vol. 116(PA), pages 402-411.
    • Handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:402-411
    DOI: 10.1016/j.renene.2017.09.016
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    1. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    2. Ruiz, B.J. & Rodriguez-Padilla, V., 2006. "Renewable energy sources in the Colombian energy policy, analysis and perspectives," Energy Policy, Elsevier, vol. 34(18), pages 3684-3690, December.
    3. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    4. Sheinbaum, Claudia & Ruíz, Belizza J. & Ozawa, Leticia, 2011. "Energy consumption and related CO2 emissions in five Latin American countries: Changes from 1990 to 2006 and perspectives," Energy, Elsevier, vol. 36(6), pages 3629-3638.
    5. Jeong, Kyonghwa & Kim, Suyi, 2013. "LMDI decomposition analysis of greenhouse gas emissions in the Korean manufacturing sector," Energy Policy, Elsevier, vol. 62(C), pages 1245-1253.
    6. Ma, Chunbo & Stern, David I., 2008. "Biomass and China's carbon emissions: A missing piece of carbon decomposition," Energy Policy, Elsevier, vol. 36(7), pages 2517-2526, July.
    7. Jie-Fang Dong & Chun Deng & Xing-Min Wang & Xiao-Lei Zhang, 2016. "Multilevel Index Decomposition of Energy-Related Carbon Emissions and Their Decoupling from Economic Growth in Northwest China," Energies, MDPI, vol. 9(9), pages 1-17, August.
    8. Xue-Ting Jiang & Jie-Fang Dong & Xing-Min Wang & Rong-Rong Li, 2016. "The Multilevel Index Decomposition of Energy-Related Carbon Emission and Its Decoupling with Economic Growth in USA," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    9. Cansino, José M. & Sánchez-Braza, Antonio & Rodríguez-Arévalo, María L., 2015. "Driving forces of Spain׳s CO2 emissions: A LMDI decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 749-759.
    10. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    11. Wang, Wenwen & Liu, Xiao & Zhang, Ming & Song, Xuefeng, 2014. "Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption," Energy, Elsevier, vol. 67(C), pages 617-622.
    12. Ang, B.W. & Liu, Na, 2007. "Negative-value problems of the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 739-742, January.
    13. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    14. Rongrong Li & Rui Jiang, 2017. "Moving Low-Carbon Construction Industry in Jiangsu Province: Evidence from Decomposition and Decoupling Models," Sustainability, MDPI, vol. 9(6), pages 1-14, June.
    15. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    16. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    17. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    18. Wang, W.W. & Zhang, M. & Zhou, M., 2011. "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, Elsevier, vol. 36(10), pages 5909-5915.
    19. Joachim Schleich & Wolfgang Eichhammer & Ulla Boede & Frank Gagelmann & Eberhard Jochem & Barbara Schlomann & Hans-Joachim Ziesing, 2001. "Greenhouse gas reductions in Germany-lucky strike or hard work?," Climate Policy, Taylor & Francis Journals, vol. 1(3), pages 363-380, September.
    20. Xue-Ting Jiang & Rongrong Li, 2017. "Decoupling and Decomposition Analysis of Carbon Emissions from Electric Output in the United States," Sustainability, MDPI, vol. 9(6), pages 1-13, May.
    21. Richard York & Eugene A. Rosa & Thomas Dietz, 2002. "Bridging Environmental Science with Environmental Policy: Plasticity of Population, Affluence, and Technology," Social Science Quarterly, Southwestern Social Science Association, vol. 83(1), pages 18-34, March.
    22. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    23. Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
    24. Mahony, Tadhg O', 2013. "Decomposition of Ireland's carbon emissions from 1990 to 2010: An extended Kaya identity," Energy Policy, Elsevier, vol. 59(C), pages 573-581.
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    More about this item

    Keywords

    CO2 emissions; Renewable energy sources; Colombia; LMDI;
    All these keywords.

    JEL classification:

    • 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
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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