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dc.contributor.authorCansino J.M.
dc.contributor.authorSánchez-Braza A.
dc.contributor.authorRodríguez-Arévalo M.L.
dc.date.accessioned2020-09-02T22:14:09Z
dc.date.available2020-09-02T22:14:09Z
dc.date.issued2018
dc.identifier10.1016/j.eneco.2017.12.001
dc.identifier.citation69, , 350-366
dc.identifier.issn01409883
dc.identifier.urihttps://hdl.handle.net/20.500.12728/3899
dc.descriptionThis paper quantitatively evaluates the performance of Chile's CO2 emissions between 1991 and 2013 using a ‘complete decomposition’ technique to examine emissions and their components. A decomposition analysis based on log-mean divisia index method (LMDI I) was conducted. Six decomposition factors were considered: Carbon Intensity effect (CI), RES penetration effect (RES), Energy Intensity effect (EI), Economy Structure effect (ES), Income effect (Yp) and Population effect (P). To know how these factors could influence each other in the future, the Innovative Accounting Approach (IAA) was used, including forecast error variance decomposition and Impulse Response Functions (IRFs). These two methodologies allow us to identify the drivers of CO2 emission changes in the past (1991–2013), test policy measures and learn how these drivers could influence each other in the future, to evaluate whether the current measures meet the Paris commitments. The LMDI analysis results show that the Energy Intensity Factor is the main compensating factor of Chile's CO2 emissions and the only effect with a clear trend to aid the economy's decoupling. IAA and IFRs results react similarly and confirm that carbon intensity reacts to shocks more significantly in the short term. The reaction to RES has the same and opposite behavior to shocks in ES and Yp, to disappear in the long term. © 2017 Elsevier B.V.
dc.language.isoen
dc.publisherElsevier B.V.
dc.subjectChile
dc.subjectCO2 emissions
dc.subjectInnovative Accounting Approach
dc.subjectLMDI
dc.subjectEnergy policy
dc.subjectImpulse response
dc.subjectTechnology transfer
dc.subjectChile
dc.subjectCO2 emissions
dc.subjectDecomposition analysis
dc.subjectForecast Error Variance Decomposition
dc.subjectImpulse response functions
dc.subjectInnovative Accounting Approach
dc.subjectLMDI
dc.subjectLog mean divisia indices
dc.subjectCarbon dioxide
dc.subjectcarbon emission
dc.subjectdecomposition analysis
dc.subjectemission inventory
dc.subjectenergy market
dc.subjectenvironmental economics
dc.subjectforecasting method
dc.subjectpollution policy
dc.subjecttrend analysis
dc.subjectChile
dc.titleHow can Chile move away from a high carbon economy?
dc.typeArticle


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