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Driving forces of CO2 emissions and energy intensity in Colombia

Authors: Patiño, Lourdes Isabel; Alcántara, Vicent; Padilla, Emilio;

Driving forces of CO2 emissions and energy intensity in Colombia

Abstract

We analyze the driving factors of CO2 emissions generation and energy intensity during almost four decades. We apply a factorial decomposition for CO2 emissions, starting from the Kaya identity, using the logarithmic mean Divisia index method. The results indicate that the increase in emissions is mainly explained by the affluence effect and the population effect, but is partially offset by the effect of energy intensity and, to a lesser extent, the carbonization effect. We then analyze the driving factors of energy intensity. With this objective, we first transform final energy into its total primary energy requirements. We find that the decrease in total energy intensity is mainly due to the reduction in sectoral energy intensity and, to a lesser extent, to structural change. The most important contribution to the reduction in sectoral energy intensity is explained by efficiency improvement in the transport sector, but also by industry, while the decrease in the share of industry would be the most relevant component explaining the reduction of the structural change effect. This is the first application of this type to the Colombian case and provides useful information for the analysis and design of energy and environmental policies

Country
Spain
Keywords

CO2 emissions, energy efficiency, Kaya identity, LMDI decomposition, structural change, CO2 emissions, energy efficiency, Kaya identity, LMDI decomposition, structural change.

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    31
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
Green
hybrid