Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology

This document is devoted to analyze the inequality in per capita CO2 emissions and energy-related CO2 emissions changes in Latin America and the Caribbean (LAC) during the period 1990-2018. To our best of knowledge, a simultaneous inequality decomposition by Kaya identity and Logarithmic Mean Divisi...

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Autores:
Cataño Valderrama, Milton Jesús
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2022
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/54744
Acceso en línea:
http://hdl.handle.net/1992/54744
Palabra clave:
CO2 emissions inequality
Latin America and the Caribbean
Kaya identity
Theil index
Logarithmic Mean Divisia Index
Dióxido de carbono atmosférico
Generación de energía
América Latina
Ingeniería
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc/4.0/
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oai_identifier_str oai:repositorio.uniandes.edu.co:1992/54744
network_acronym_str UNIANDES2
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repository_id_str
dc.title.none.fl_str_mv Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology
title Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology
spellingShingle Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology
CO2 emissions inequality
Latin America and the Caribbean
Kaya identity
Theil index
Logarithmic Mean Divisia Index
Dióxido de carbono atmosférico
Generación de energía
América Latina
Ingeniería
title_short Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology
title_full Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology
title_fullStr Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology
title_full_unstemmed Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology
title_sort Analysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodology
dc.creator.fl_str_mv Cataño Valderrama, Milton Jesús
dc.contributor.advisor.none.fl_str_mv Oliveira de Jesus, Paulo Manuel de
dc.contributor.author.none.fl_str_mv Cataño Valderrama, Milton Jesús
dc.contributor.jury.none.fl_str_mv Jiménez Estévez, Guillermo Andrés
dc.subject.keyword.none.fl_str_mv CO2 emissions inequality
Latin America and the Caribbean
Kaya identity
Theil index
Logarithmic Mean Divisia Index
topic CO2 emissions inequality
Latin America and the Caribbean
Kaya identity
Theil index
Logarithmic Mean Divisia Index
Dióxido de carbono atmosférico
Generación de energía
América Latina
Ingeniería
dc.subject.armarc.none.fl_str_mv Dióxido de carbono atmosférico
Generación de energía
América Latina
dc.subject.themes.es_CO.fl_str_mv Ingeniería
description This document is devoted to analyze the inequality in per capita CO2 emissions and energy-related CO2 emissions changes in Latin America and the Caribbean (LAC) during the period 1990-2018. To our best of knowledge, a simultaneous inequality decomposition by Kaya identity and Logarithmic Mean Divisia for index decomposition analysis (IDA-LMDI) of CO2 emissions changes has not been carried out before for LAC countries. In this paper we aim at filling this research gap based on the following question: What are the main macroeconomic drivers explaining inequality and changes in CO2 emissions trends in LAC during 1990 and 2018 and their policy implications? The study of inequality in per capita CO2 emissions and aggregate CO2 emissions time-series is relevant due the need to know the drivers that explain the changing trends in the past and to inform the debate around the establishment of mitigation agreements perceived as fair by all parties involved. In this paper, synthethic indicator of inequality called Theil index is applied to measure inequality in per capita emissions, along with a Kaya decomposition methodology to evalute the contribution of each driver to overall inequality. Similarly, an IDA-LMDI method is applied to analyze the changes of aggregate CO2 emissions during 1990 and 2018, decomposed into five factors: carbon intensity, share of fossil fuels, energy intensity, GDP per capita and population. Results show that the main factors contributing to inequality in per capita emissions in LAC are the energy and carbon intensity. Likewise, it is observed that the results are strongly influenced by the performance of Brazil. As for the changes in CO2 emissions trends, it is also observed that energy intensity is one of the main drivers but the most important are GDP per capita and population. Policy implications presented discuss the importance of improvements in energy efficiencies and changes in production structures of LAC countries as well as the decarbonization of the energy mix to achieve mitigation targets.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-02-11T19:50:22Z
dc.date.available.none.fl_str_mv 2022-02-11T19:50:22Z
dc.date.issued.none.fl_str_mv 2022-02-04
dc.type.spa.fl_str_mv Trabajo de grado - Pregrado
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language eng
dc.relation.references.es_CO.fl_str_mv Duro J. A. & Padilla E., "International inequalities in per capita CO2 emissions: A decomposition methodology by Kaya factors", Energy Economics, vol. 28, pp. 170-187, 2006.
Román-Collado R. & Morales-Carrión A., "Towards a sustainable growth in Latin America: A multiregional spatial decomposition analysis of the driving forces behind CO2 emissions changes", Energy Policy, vol. 115, pp. 273-280, 2018.
Intergovernmental Panel on Climate Change, "Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change", IPCC, Geneva, Switzerland, 151 pp, 2014.
International Energy Agency. "CO2 emissions from fuel combustion: Highlights", 2019.
Caney S., "Justice and the distribution of greenhouse gas emissions", Journal of Global Ethics, vol. 5, pp. 125-146, 2009.
Heil M. T. & Wodon Q. T., "Inequality in CO2 emissions between poor and rich countries", Journal of Environment and Development, vol. 6, pp. 426-452, 1997.
Duro J. A. & Padilla E., "Explanatory factors of CO2 per capita emissions inequality in the European Union", Energy Policy, vol. 62, pp. 1320-1328, 2013
Tian W. & Da Costa P., "Inequality in per capita CO2 emissions in European Union, 1990-2020", 11th International Conference on the European Energy Market (EEM14), pp. 1-5, 2014.
Wang Y., Yan Q., Li Z., Balezentis T., Zhang Y., Gang L. & Streimikiene D., "Aggregate carbon intensity of China's thermal electricity generation: The inequality analysis and nested spatial decomposition", Journal of Cleaner Production, vol. 247, pp. 1-15, 2020.
Grunewald N., Jakob M. & Mouratiadou I., "Decomposing inequality in CO2 emissions: The role of primary energy carriers and economic sectors", Ecological Economics, vol. 100, pp. 183-194, 2014
De Oliveira-De Jesus P., Galvis J., Rojas-Lozano D. & Yusta J., "Multitemporal LMDI index decomposition analysis to explain the changes of ACI by the power sector in Latin America and the Caribbean between 1990-2017", Energies, vol. 13, no. 9, 2020.
De Oliveira-De Jesus P., "Effect of generation capacity factors on carbon emission intensity of electricity of Latin America the Caribbean, a temporal IDA-LMDI analysis", Renewable and Sustainable Energy Reviews, vol. 101, pp. 516-526, 2019.
Li W. & Ou Q., "Decomposition of China's carbon emissions intensity from 1995 to 2010: An extended Kaya identity", Mathematical Problems in Engineering, vol. 2013, pp. 1-7, 2013.
Fernández P., Lajando M. & Presno M.J., "The driving forces behind changes in CO2 emission levels in EU-27. differences between member states", Environmental Science and Policy, vol. 38, pp. 11-16, 2014.
Schymura M. & Voigt S., "What drives changes in carbon emissions An index decomposition approach for 40 countries", ZEW Discussion Papers, vol. 14, no. 038, 2014.
Hwang Y., Um J., Hwang J. & Schlüter S., "Devaluating the causal relations between the Kaya identity index and odiac-based fossil fuel CO2 flux", Energies, vol. 13, no. 22, 2020.
Bourguignon F., "Decomposable income inequality measures", Econometrica, vol. 47, no. 4, pp. 901-920, 1979
Allison P. D., "Measures of inequality", American Sociological Review, vol. 43, no. 6, pp. 865-880, 1978.
Ang B. W., Liu F. L. & Chew E. P., "Perfect decomposition techniques in energy and environmental analysis", Energy Policy, vol. 31, pp. 1561-1566, 2003.
Ang B. W., "The LMDI approach to decomposition analysis: a practical guide", Energy Policy, vol. 33, pp. 867-871, 2005.
Santos G. M., "Energy in Brazil: a historical overview", Journal of Energy History, , no. 1, pp. 1-27, 2018.
Rojas D., "Método para identificación de periodos en análisis de descomposición LMDI de la intensidad de carbono del sector eléctrico", Universidad de los Andes, 2020
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dc.format.extent.es_CO.fl_str_mv 36 páginas
dc.publisher.es_CO.fl_str_mv Universidad de los Andes
dc.publisher.program.es_CO.fl_str_mv Ingeniería Eléctrica
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ingeniería
dc.publisher.department.es_CO.fl_str_mv Departamento de Ingeniería Eléctrica y Electrónica
institution Universidad de los Andes
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Oliveira de Jesus, Paulo Manuel de8779285d-6641-4859-abc5-dadc52816dbb600Cataño Valderrama, Milton Jesúse62b9b15-0d03-417b-adcb-3c2dae12e143600Jiménez Estévez, Guillermo Andrés2022-02-11T19:50:22Z2022-02-11T19:50:22Z2022-02-04http://hdl.handle.net/1992/54744instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/This document is devoted to analyze the inequality in per capita CO2 emissions and energy-related CO2 emissions changes in Latin America and the Caribbean (LAC) during the period 1990-2018. To our best of knowledge, a simultaneous inequality decomposition by Kaya identity and Logarithmic Mean Divisia for index decomposition analysis (IDA-LMDI) of CO2 emissions changes has not been carried out before for LAC countries. In this paper we aim at filling this research gap based on the following question: What are the main macroeconomic drivers explaining inequality and changes in CO2 emissions trends in LAC during 1990 and 2018 and their policy implications? The study of inequality in per capita CO2 emissions and aggregate CO2 emissions time-series is relevant due the need to know the drivers that explain the changing trends in the past and to inform the debate around the establishment of mitigation agreements perceived as fair by all parties involved. In this paper, synthethic indicator of inequality called Theil index is applied to measure inequality in per capita emissions, along with a Kaya decomposition methodology to evalute the contribution of each driver to overall inequality. Similarly, an IDA-LMDI method is applied to analyze the changes of aggregate CO2 emissions during 1990 and 2018, decomposed into five factors: carbon intensity, share of fossil fuels, energy intensity, GDP per capita and population. Results show that the main factors contributing to inequality in per capita emissions in LAC are the energy and carbon intensity. Likewise, it is observed that the results are strongly influenced by the performance of Brazil. As for the changes in CO2 emissions trends, it is also observed that energy intensity is one of the main drivers but the most important are GDP per capita and population. Policy implications presented discuss the importance of improvements in energy efficiencies and changes in production structures of LAC countries as well as the decarbonization of the energy mix to achieve mitigation targets.Ingeniero EléctricoPregrado36 páginasengUniversidad de los AndesIngeniería EléctricaFacultad de IngenieríaDepartamento de Ingeniería Eléctrica y ElectrónicaAnalysis of inequality and energy-related CO2 emissions in Latin America and the Caribbean applying a Kaya factors decomposition methodologyTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TPCO2 emissions inequalityLatin America and the CaribbeanKaya identityTheil indexLogarithmic Mean Divisia IndexDióxido de carbono atmosféricoGeneración de energíaAmérica LatinaIngenieríaDuro J. A. & Padilla E., "International inequalities in per capita CO2 emissions: A decomposition methodology by Kaya factors", Energy Economics, vol. 28, pp. 170-187, 2006.Román-Collado R. & Morales-Carrión A., "Towards a sustainable growth in Latin America: A multiregional spatial decomposition analysis of the driving forces behind CO2 emissions changes", Energy Policy, vol. 115, pp. 273-280, 2018.Intergovernmental Panel on Climate Change, "Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change", IPCC, Geneva, Switzerland, 151 pp, 2014.International Energy Agency. "CO2 emissions from fuel combustion: Highlights", 2019.Caney S., "Justice and the distribution of greenhouse gas emissions", Journal of Global Ethics, vol. 5, pp. 125-146, 2009.Heil M. T. & Wodon Q. T., "Inequality in CO2 emissions between poor and rich countries", Journal of Environment and Development, vol. 6, pp. 426-452, 1997.Duro J. A. & Padilla E., "Explanatory factors of CO2 per capita emissions inequality in the European Union", Energy Policy, vol. 62, pp. 1320-1328, 2013Tian W. & Da Costa P., "Inequality in per capita CO2 emissions in European Union, 1990-2020", 11th International Conference on the European Energy Market (EEM14), pp. 1-5, 2014.Wang Y., Yan Q., Li Z., Balezentis T., Zhang Y., Gang L. & Streimikiene D., "Aggregate carbon intensity of China's thermal electricity generation: The inequality analysis and nested spatial decomposition", Journal of Cleaner Production, vol. 247, pp. 1-15, 2020.Grunewald N., Jakob M. & Mouratiadou I., "Decomposing inequality in CO2 emissions: The role of primary energy carriers and economic sectors", Ecological Economics, vol. 100, pp. 183-194, 2014De Oliveira-De Jesus P., Galvis J., Rojas-Lozano D. & Yusta J., "Multitemporal LMDI index decomposition analysis to explain the changes of ACI by the power sector in Latin America and the Caribbean between 1990-2017", Energies, vol. 13, no. 9, 2020.De Oliveira-De Jesus P., "Effect of generation capacity factors on carbon emission intensity of electricity of Latin America the Caribbean, a temporal IDA-LMDI analysis", Renewable and Sustainable Energy Reviews, vol. 101, pp. 516-526, 2019.Li W. & Ou Q., "Decomposition of China's carbon emissions intensity from 1995 to 2010: An extended Kaya identity", Mathematical Problems in Engineering, vol. 2013, pp. 1-7, 2013.Fernández P., Lajando M. & Presno M.J., "The driving forces behind changes in CO2 emission levels in EU-27. differences between member states", Environmental Science and Policy, vol. 38, pp. 11-16, 2014.Schymura M. & Voigt S., "What drives changes in carbon emissions An index decomposition approach for 40 countries", ZEW Discussion Papers, vol. 14, no. 038, 2014.Hwang Y., Um J., Hwang J. & Schlüter S., "Devaluating the causal relations between the Kaya identity index and odiac-based fossil fuel CO2 flux", Energies, vol. 13, no. 22, 2020.Bourguignon F., "Decomposable income inequality measures", Econometrica, vol. 47, no. 4, pp. 901-920, 1979Allison P. D., "Measures of inequality", American Sociological Review, vol. 43, no. 6, pp. 865-880, 1978.Ang B. W., Liu F. L. & Chew E. P., "Perfect decomposition techniques in energy and environmental analysis", Energy Policy, vol. 31, pp. 1561-1566, 2003.Ang B. W., "The LMDI approach to decomposition analysis: a practical guide", Energy Policy, vol. 33, pp. 867-871, 2005.Santos G. M., "Energy in Brazil: a historical overview", Journal of Energy History, , no. 1, pp. 1-27, 2018.Rojas D., "Método para identificación de periodos en análisis de descomposición LMDI de la intensidad de carbono del sector eléctrico", Universidad de los Andes, 2020201816653PublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-81810https://repositorio.uniandes.edu.co/bitstreams/7757ffe6-de42-40d0-aadd-27619d389731/download5aa5c691a1ffe97abd12c2966efcb8d6MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.uniandes.edu.co/bitstreams/9ae92b19-fd40-4d9d-b5f1-af764f64dcb2/download24013099e9e6abb1575dc6ce0855efd5MD52ORIGINALAnalysis of inequality and energy-related CO2 emissions in LAC applying a Kaya factors decomposition methodology.pdfAnalysis of inequality and energy-related CO2 emissions in LAC applying a Kaya factors decomposition methodology.pdfTrabajo de gradoapplication/pdf672200https://repositorio.uniandes.edu.co/bitstreams/df96657b-d02b-4826-9fe9-858a0d420985/download97efa2b37d7fe5417abc73adab7489c9MD53THUMBNAILAnalysis of inequality and energy-related CO2 emissions in LAC applying a Kaya factors decomposition methodology.pdf.jpgAnalysis of inequality and energy-related CO2 emissions in LAC applying a Kaya factors decomposition methodology.pdf.jpgIM Thumbnailimage/jpeg11200https://repositorio.uniandes.edu.co/bitstreams/dd9ff5a5-5743-422a-bdb2-b2fda2201832/download6e666e8eba1d57aeb2b5af07cb3a4516MD57TEXTAnalysis of inequality and energy-related CO2 emissions in LAC applying a Kaya factors decomposition methodology.pdf.txtAnalysis of inequality and energy-related CO2 emissions in LAC applying a Kaya factors decomposition methodology.pdf.txtExtracted texttext/plain58545https://repositorio.uniandes.edu.co/bitstreams/a563a419-57c4-4b94-9e99-24cd4e7aa047/download8f3dd6a11f2b445c4a88e911986b73c7MD561992/54744oai:repositorio.uniandes.edu.co:1992/547442023-10-10 17:20:22.544http://creativecommons.org/licenses/by-nc/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.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