¿Puede el gasto en investigación y desarrollo disminuir las emisiones de gases de efecto invernadero?

dc.contributor.advisorGómez Portilla, Karoll Yucellyspa
dc.contributor.authorGamboa Suárez, Fabián Andrésspa
dc.date.accessioned2023-06-06T20:25:19Z
dc.date.available2023-06-06T20:25:19Z
dc.date.issued2023-04-26
dc.descriptionilustraciones
dc.description.abstractEn este documento se explora la pregunta sobre si la inversión en investigación y desarrollo (I+D) puede reducir las emisiones de Gases de Efecto Invernadero (GEI). Para dar respuesta a la pregunta, se exploraron las relaciones entre cuatro variables: el gasto en I+D, el PIB, las emisiones de GEI y el consumo de energía mediante el uso de una metodología novedosa de proyecciones locales con una base de datos longitudinal para 34 países desde 1990 hasta 2017. Los principales resultados muestran que la inversión en I+D tiene efectos negativos en las emisiones de GEI en los primeros años, pero luego, el proceso se revierte y genera un efecto positivo luego de 10 años. Lo anterior muestra que existe un efecto de rebote en donde las innovaciones generadas por esta inversión pueden disminuir las emisiones de GEI pero luego incentivan un mayor consumo y crecimiento económico que redunda en mayores emisiones. Así, los resultados ilustran la paradoja de Jevons. (Texto tomado de la fuente).spa
dc.description.abstractThis paper seeks to explore the question of whether investment in research and development (R&D) can reduce greenhouse gas (GHG) emissions. To answer the question, we explored the relationships between four variables: R&D expenditure, GDP, GHG emissions and energy consumption by using a novel methodology of local projections with a longitudinal database for 34 countries from 1990 to 2017. The main results show that R&D investment has negative effects on GHG emissions in the early years, but then the process reverses and generates a positive effect after 10 years. This shows that there is a rebound effect in which the innovations generated by this investment can reduce GHG emissions but then incentivize higher consumption and economic growth that results in higher emissions. Thus, the results illustrate the Jevons Paradox.eng
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ciencias Económicasspa
dc.description.notesIncluye anexosspa
dc.description.researchareaLínea de profundizaciónspa
dc.format.extent48 páginas sin enumerarspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/83981
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombiaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.facultyFacultad de Ciencias Económicasspa
dc.publisher.placeBogotá, Colombiaspa
dc.publisher.programBogotá - Ciencias Económicas - Maestría en Ciencias Económicasspa
dc.relation.referencesAcheampong, A. O. (2018). Economic growth, CO2 emissions and energy consumption: what causes what and where? Energy Economics, 74, 677-692.spa
dc.relation.referencesAckerman, F. & Stanton E. A. (2012) Climate risks and carbon prices: Revising the social cost of carbon. Economics: The Open-Access, Open-Assessment E-Journal 6 1-25spa
dc.relation.referencesAghion, P., & Howitt, P. (2007). Capital, innovation, and growth accounting. Oxford Review of Economic Policy, 23(1), 79-93.spa
dc.relation.referencesAlam, Atif, M., Chien-Chi, C., & Soytaş, U. (2019). Does corporate R&D investment affect firm environmental performance? Evidence from G-6 countries. Energy Economics, 78, 401–411. https://doi.org/10.1016/j.eneco.2018.11.031spa
dc.relation.referencesAlcott, B. (2005). Jevons' paradox. Ecological economics, 54(1), 9-21.çspa
dc.relation.referencesAnzoategui, D., Comin, D., Gertler, M., & Martinez, J. (2019). Endogenous technology adoption and R&D as sources of business cycle persistence. American Economic Journal: Macroeconomics, 11(3), 67-110.spa
dc.relation.referencesAsmussen, K. E., Mondal, A., & Bhat, C. R. (2022). Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT). Transportation Research Part A: Policy and Practice, 158, 156-179.spa
dc.relation.referencesAwaworyi Churchill, Inekwe, J., Smyth, R., & Zhang, X. (2019). R&D intensity and carbon emissions in the G7: 1870–2014. Energy Economics, 80, 30–37. https://doi.org/10.1016/j.eneco.2018.12.020spa
dc.relation.referencesBerg, K. A., Curtis, C. C., & Mark, N. C. (2021). GDP and Temperature: Evidence on Cross-Country Response Heterogeneity.spa
dc.relation.referencesBogmans, C., Kiyasseh, L., Matsumoto, A., & Pescatori, A. (2020). Energy, efficiency gains and economic development: when will global energy demand saturate?. Available at SSRN 3758087.spa
dc.relation.referencesBosetti, V. & Tavoni, M. (2009). Uncertain R&D, backstop technology and GHGs stabilization. Energy Economics, 31, S18-S26.spa
dc.relation.referencesBosetti, V., Carraro, C., Duval, R. & Tavoni, M. (2011). What should we expect from innovation? A model based assessment of the environmental and mitigation cost implications of climate-related R&D. Energy Economics, 33, 1313--1320.spa
dc.relation.referencesBosetti, V., Carraro, C., Masseti, E. & Tavoni, M. (2008). International energy R&D spillovers and the economics of greenhouse gas atmospheric stabilization. Energy Economics, 30, 2912-2929.spa
dc.relation.referencesBosetti, V., Carraro, C., Masseti, E., Sgobbi, A. & Tavoni, M. (2009). Optimal energy investment and R&D strategies to stabilize atmospheric greenhouse gas concentrations. Resource and Energy Economics, 31, 123-137.spa
dc.relation.referencesChoi, I. (2001). Unit root tests for panel data. Journal of international money and Finance, 20(2), 249-272.spa
dc.relation.referencesDCENR, (2014). National energy efficiency action plan 2014, Department of communications, Energy and Natural Resources, Government of Ireland.spa
dc.relation.referencesFich, L. E., Viola, S., & Bentsen, N. S. (2022). Jevons Paradox: Sustainable Development Goals and Energy Rebound in Complex Economic Systems. Energies, 15(16), 5821.spa
dc.relation.referencesFreimane, R. & Bāliņa, S. (2016). Research and development expenditures and economic growth in the EU: A panel data analysis. Economics and Business, 29(1), 5-117spa
dc.relation.referencesFreire-González, J. (2021). Governing Jevons’ Paradox: Policies and systemic alternatives to avoid the rebound effect. Energy Research & Social Science, 72, 101893.spa
dc.relation.referencesGengenbach, C., Urbain, J. -P., and Westerlund, J. (2016) Error Correction Testing in Panels with Common Stochastic Trends. J. Appl. Econ., 31: 982– 1004. doi: 10.1002/jae.2475.spa
dc.relation.referencesHadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2), 148-161.spa
dc.relation.referencesHerzer, D. (2022). The impact of domestic and foreign R&D on TFP in developing countries. World Development, 151, 105754.spa
dc.relation.referencesIm, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1), 53-74.spa
dc.relation.referencesIRENA (2017), Accelerating the Energy Transition through Innovation, a working paper based on global REmap analysis, IRENA, Abu Dhabi. www.irena.org/remapspa
dc.relation.referencesIRENA (2018), Global Energy Transformation: A roadmap to 2050, International Renewable Energy Agency, Abu Dhabi.spa
dc.relation.referencesJalles, J. T. (2019). Crises and emissions: New empirical evidence from a large sample. Energy Policy, 129, 880-895.spa
dc.relation.referencesJordà, Ò. (2005). Estimation and inference of impulse responses by local projections. American economic review, 95(1), 161-182.spa
dc.relation.referencesJordà, Ò., Singh, S. R., & Taylor, A. M. (2020). The long-run effects of monetary policy (No. w26666). National Bureau of Economic Research.spa
dc.relation.referencesKao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of econometrics, 90(1), 1-44.spa
dc.relation.referencesKaplan JO (2015) Climate or humans? Analyses of ice-core carbon isotopes show that variations in atmospheric CO2 levels during the past millennium are controlled by changes in land reservoirs. But whether climate variations or human activity were mainly responsible is uncertain. Nat Geosci 8:335–336spa
dc.relation.referencesKaya, Y., & Yokobori, K. (Eds.). (1997). Environment, energy, and economy: strategies for sustainability (pp. 16-26). Tokyo: United Nations University Press.spa
dc.relation.referencesLevin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108(1), 1-24.spa
dc.relation.referencesLovins, L. H., & Cohen, B. (2011). Climate capitalism: Capitalism in the age of climate change. Hill and Wang.spa
dc.relation.referencesLovins, A. (2017). Energy efficiency. Energy Economics, 234.spa
dc.relation.referencesJevons, W.S. (1865) The Coal Question; An Enquiry Concerning the Progress of the Nation, and the Probable Exhaustion of Our Coal-Mines; McMillan and Co.: London, UK; Cambridge, UK.spa
dc.relation.referencesMacArthur, E. (2013). Towards the circular economy. Journal of Industrial Ecology, 2(1), 23-44.spa
dc.relation.referencesMagazzino, C. (2016). The relationship between real GDP, CO2 emissions, and energy use in the GCC countries: A time series approach. Cogent Economics & Finance, 4(1), 1152729.spa
dc.relation.referencesMankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. The quarterly journal of economics, 107(2), 407-437spa
dc.relation.referencesMensah, C. N., Long, X., Boamah, K. B., Bediako, I. A., Dauda, L., & Salman, M. (2018). The effect of innovation on CO2 emissions of OCED countries from 1990 to 2014. Environmental Science and Pollution Research, 25(29), 29678-29698.spa
dc.relation.referencesMetcalf, G. E., & Stock, J. H. (2020, May). Measuring the macroeconomic impact of carbon taxes. In AEA papers and Proceedings (Vol. 110, pp. 101-06).spa
dc.relation.referencesMinniti, A. & Venturini, F. (2017). The long-run growth effects of R&D policy. Research Policy, 46(1), 316-326spa
dc.relation.referencesMora C, Spirandelli D, Franklin EC, Lynham J, Kantar MB, Miles W, et al. (2018). Broad threat to humanity from cumulative climate hazards intensified by greenhouse gas emissions. Nature Climate Change; 8: 1062 -1071.spa
dc.relation.referencesNordhaus, W.D. (2002). Modelling induced innovation in climate change policy. In A. Grubler, N. Nakicenovic & W.D. Nordhaus (Eds.) Technological Change and the Environment (Washington DC: REsources for the Future).spa
dc.relation.referencesPablo-Romero, M. D. P., & De Jesús, J. (2016). Economic growth and energy consumption: The energy-environmental Kuznets curve for Latin America and the Caribbean. Renewable and Sustainable Energy Reviews, 60, 1343-1350.spa
dc.relation.referencesPedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric theory, 20(3), 597-625.spa
dc.relation.referencesPindyck, R. (2017). The use and misuse of models for climate policy. Review of Environmental Economics and Policy, 11(1), 100-114.spa
dc.relation.referencesPlagborg‐Møller, M., & Wolf, C. K. (2021). Local projections and VARs estimate the same impulse responses. Econometrica, 89(2), 955-980.spa
dc.relation.referencesPolimeni, J. M. (2012). Empirical evidence for the Jevons Paradox. In The Jevons paradox and the myth of resource efficiency improvements (pp. 154-184). Routledge.spa
dc.relation.referencesRogelj J, Den Elzen M, Höhne N, Fransen T, Fekete H, Winkler H (2016) Paris Agreement climate proposals need a boost to keep warming well below 2 C. Nature; 534: 631 -639.spa
dc.relation.referencesRomer, P. M. (1994). The origins of endogenous growth. Journal of Economic perspectives, 8(1), 3-22.spa
dc.relation.referencesRongron, L. & Rui L. (2020). Investigating effect of R&D investment on decoupling environmental pressure from economic growth in the global top six carbon dioxide emitters. Science of The Total Environment. Volume 740spa
dc.relation.referencesSaunders, H. D. (2000). A view from the macro side: rebound, backfire, and Khazzoom–Brookes. Energy policy, 28(6-7), 439-449.spa
dc.relation.referencesSala-i-Martin, X. (2002). Determinants of Growth-A Cross-Country Empirical Study.spa
dc.relation.referencesSiami, N., & Winter, R. A. (2021). Jevons’ paradox revisited: Implications for climate change. Economics Letters, 206, 109955.spa
dc.relation.referencesSmith, R., & World Economics Association. (2016). Green capitalism: the god that failed. London: College Publications.spa
dc.relation.referencesSolow, R. M. (1956). A contribution to the theory of economic growth. The quarterly journal of economics, 70(1), 65-94.spa
dc.relation.referencesSorrell, S. (2009). Jevons’ Paradox revisited: The evidence for backfire from improved energy efficiency. Energy policy, 37(4), 1456-1469.spa
dc.relation.referencesStern, D. I. (2018). The environmental Kuznets curve. In Companion to Environmental Studies (pp. 49-54). Routledge.spa
dc.relation.referencesSudarmaji, E., Achsani, N. A., Arkeman, Y., & Fahmi, I. (2022, June). Does rebound effect influence the factors of carbon emission in Indonesia? Kaya index and LMDI decomposition. In IOP Conference Series: Earth and Environmental Science (Vol. 1041, No. 1, p. 012086). IOP Publishing.spa
dc.relation.referencesVitenu-Sackey, & Acheampong, T. (2022). Impact of economic policy uncertainty, energy intensity, technological innovation and R&D on CO2 emissions: evidence from a panel of 18 developed economies. Environmental Science and Pollution Research International, 29(58), 87426–87445. https://doi.org/10.1007/s11356-022-21729-2spa
dc.relation.referencesVivanco, D. F., Kemp, R., & van der Voet, E. (2016). How to deal with the rebound effect? A policy-oriented approach. Energy Policy, 94, 114-125.spa
dc.relation.referencesWesterlund, J. (2005). New simple tests for panel cointegration. Econometric Reviews, 24(3), 297-316. Zachariadis, M. (2004). R&D‐induced Growth in the OECD?. Review of Development Economics, 8(3), 423-439.spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseReconocimiento 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/spa
dc.subject.ddc330 - Economía::333 - Economía de la tierra y de la energíaspa
dc.subject.jelF14 Empirical Studies of Tradeeng
dc.subject.proposalGasto en investigación y desarrollospa
dc.subject.proposalEmisionesspa
dc.subject.proposalEnergíaspa
dc.subject.proposalR&D expenditureeng
dc.subject.proposalEmissionseng
dc.subject.proposalEnergyeng
dc.subject.unescoCalentamiento de la tierraspa
dc.subject.unescoGlobal warmingeng
dc.subject.unescoSubvención para investigaciónspa
dc.subject.unescoResearch grantseng
dc.subject.unescoLucha contra la contaminaciónspa
dc.subject.unescoPollution controleng
dc.title¿Puede el gasto en investigación y desarrollo disminuir las emisiones de gases de efecto invernadero?spa
dc.title.translatedCan spending on research and development decrease greenhouse gas emissions?eng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentEstudiantesspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
dcterms.audience.professionaldevelopmentMaestrosspa
dcterms.audience.professionaldevelopmentPadres y familiasspa
dcterms.audience.professionaldevelopmentPúblico generalspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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