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Verónica Segarra
Martín Olivera

Este trabajo estudia la relación dinámica entre las emisiones de dióxido de carbono y el crecimiento económico para un grupo de países de América Latina y el Caribe durante el período 1951-2014. A partir del uso de regímenes económicos y simbolización de series temporales, se introduce una métrica y mediante el análisis de clusters se encuentran dos grupos diferenciados en términos de su dinámica de emisiones y crecimiento. Se analiza la existencia de relaciones bidireccionales tanto de corto como de largo plazo, encontrando que la relación difiere según los grupos y los métodos de estimación.

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Segarra, V., & Olivera, M. (2021). Calidad ambiental y crecimiento económico: análisis dinámico para América Latina y el Caribe. Revista De Economía Del Rosario, 24(2), 1-40. https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.10514

Acheampong, A. (2018). Economic growth, co2 emissions and energy consumption: What causes what and where?. Energy Economics, 74, 677–692. https://doi.org/10.1016/j.eneco.2018.07.022

Agbanike, T., Nwani, C., Uzuazie, U., Anochiwa, L., Onoja, T., & Ogbonnaya, T. (2019). Oil price, energy consumption and carbon dioxide (co2) emissions: insight into sustainability challenges in Venezuela. Latin American Economic Review, 28(8), 1–26. https://doi.org/10.1186/s40503-019-0070-8

Al Mamun, Md., Sohag, K., Hannan Mia, Md.A., Uddin, G., & Ozturk, I. (2014). Regional differences in the dynamic linkage between co2 emissions, sectoral output and economic growth. Renewable and Sustainable Energy Reviews, 38, 1–11. https://doi.org/10.1016/j.rser.2014.05.091

Al Mulali, U. (2014). Investigating the impact of nuclear energy consumption on gdp growth and co2 emission: A panel data analysis. Progress in Nuclear Energy, 73, 172–178. https://doi.org/10.1016/j.pnucene.2014.02.002

Al Mulali, U., Lee, J., Mohammed, A., & Sheau-Ting, L. (2013). Examining the link between energy consumption, carbon dioxideemission, and economic growth in Latin America and the Caribbean. Renewable and Sustainable Energy Reviews, 26, 42–48. https://doi.org/10.1016/j.rser.2013.05.041

Al Mulali, U., Tang, CF., & Ozturk, I. (2015). Estimating the Environmental Kuznets Curve hypothesis: evidence from Latin America and the Caribbean countries. Renewable and Sustainable Energy Reviews, 50, 918–925. https://doi.org/10.1016/j.rser.2015.05.017

Amin, A., Aziz, B., & Liu, XH. (2020). The relationship between urbanization, technology innovation, trade openness, and co2 emissions: evidence from a panel of Asian countries. Environmental Science and Pollution Research International, 27(28), 35349–35363. https://doi.org/10.1007/s11356-020-09777-y

Angulo, A. (2010). Relación Entre Crecimiento Económico y Medio Ambiente: La U Ambiental De Kuznets. delos: Desarrollo Local Sostenible, 3(8), 4.

Antonakakis, N., Chatziantoniou, I., & Filis, G. (2017). Energy consumption, co2 emissions, and economic growth: An ethical dilemma. Renewable and Sustainable Energy Reviews, 68, 808–824. https://doi.org/10.1016/j.rser.2016.09.105

Apergis, N., & Payne, J.E. (2009). co2 emissions, energy usage, and output in

Central America. Energy Policy, 37, 3282–3286. https://doi.org/10.1016/j.enpol.2009.03.048

Apergis, N., & Payne, J.E. (2014). Renewable energy, output, co2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model. Energy Economics, 42, 226–252. https://doi.org/10.1016/j.eneco.2014.01.003

Apergis, N., & Payne, J.E. (2015). Renewable Energy, Output, Carbon Dioxide Emissions, and Oil Prices: Evidence from South America. Energy Sources, Part B: Economics, Planning, and Policy, 10(3), 281–287. https://doi.org/10. 1080/15567249.2013.853713

Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. https://doi.org/10.2307/2297968

Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D

Atta Mills, E. F. E., Zeng, K., & Baafi, M. A. (2020). The economy-energyenvironment Nexus in imf’s Top 2 biggest economies: a ty approach. Journal of Business Economics and Management, 21(1), 1–22. https://doi.org/10.3846/jbem.2019.11321

Azam, M. (2016). Does environmental degradation shackle economic growth? A panel data investigation on 11 Asian countries. Renewable and Sustainable Energy Reviews, 65, 175–182. https://doi.org/10.1016/j.rser.2016.06.087

Balado-Naves, R., Baños-Pino, J.F., & Mayor, M. (2018). Do countries influence neighbouring pollution? A special analysis of the ekc for co2 emissions. Energy Policy, 123, 266–279. https://doi.org/10.1016/j.enpol.2018.08.059

Ben Jebli, M., & Ben Youssef, S. (2016). Combustible renewables and waste consumption, agriculture, co2 emissions and economic growth in Brazil. Carbon Management, 10(3), 309–321. https://doi.org/10.1080/17583004.2019.1605482

Ben Jebli, M., Ben Youssef, S., & Apergis, N. (2019). The dynamic linkage between renewable energy, tourism, co2 emissions, economic growth, foreign direct investment, and trade. Latin American Economic Review, 28(1), 1–19. https://doi.org/10.1186/s40503-019-0063-7

Ben Mbarek, M., Saidi, K., & Rahman, M.M. (2018). Renewable and nonrenewable energy consumption, environmental degradation, and economic growth in Tunisia. Quality & Quantity, 52(3), 1105–1119. https://doi.org/10.1007/s11135-017-0506-7

Boden, T. A., Anders, R. J., & Marland, G. (2017). Global, Regional, and National Fossil-Fuel co2 Emissions. Carbon Dioxide Information Analysis Center. https://doi.org/10.3334/CDIAC/00001_V2017.

Brida, J.G., London, S., & Rojas, M. (2013). Desempeño económico regional: un análisis dinámico para el caso chileno en el periodo 1960-2009. Revista de Economía del Rosario, 16(2), 35–66. https://www.redalyc.org/pdf/5095/509555097002.pdf

Chang, C.P., Dong, M., Sui, B., & Chu, Y. (2019). Driving forces of global carbon emissions: from time- and spatial-dynamic perspectives. Economic Modelling, 77, 70–80. https://doi.org/10.1016/j.econmod.2019.01.021

Daw, C. S., Finney, C. E. A., & Tracy, E. R. (2003). A review of symbolic analysis of experimental data. Review of Scientific Instruments, 74(2), 915–930. https://doi.org/10.1063/1.1531823

De Souza, E. S., Freire, F. de S., & Pires, J. (2018). Determinants of co2 emissions in the Mercosur: the role of economic growth, and renewable and nonrenewable energy. Environmental Science and Pollution Research, 25(21), 20769–20781. https://doi.org/10.1007/s11356-018-2231-8

Devire, S.A., & Deviren, B. (2016). The relationship between carbon dioxide emisión and economic growth: hierarchical structure methods. Physica A: Statistical Mechanics and its Applications, 451(1), 429–439. https://doi.org/10.1016/j.physa.2016.01.085

Dumitrescu, E., & Hurlin, C. (2002). Testing of Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014

Dutta, C., & Das, D. (2016). Does disaggregated co2 emission matter for growth? Evidence from thirty countries. Renewable and Sustainable Energy Reviews, 66, 825–833. https://doi.org/10.1016/j.rser.2016.08.034

Galeotti, M., Manera, M., & Lanza, A. (2009). On the robustness of robustness checks of the environmental Kuznets curve hypothesis. Environmental and Resource Economics, 42(4), 551. https://link.springer.com/content/pdf/10.1007/s10640-008-9224-x.pdf

Gardiner, R., & Hajek, P. (2020). Interactions among energy consumption, co2, and economic development in European Union countries. Sustainable Development, 28(4), 723–740. https://doi.org/10.1002/sd.2023

Gligo, N. (1993). Environment and natural resources in Latin American development. Development from Within. En O. Sunkel (Ed.), Toward a Neostrucuturalist Approach for Latin America. Lynne Rienner Publishers.

Gómez, M., & Rodríguez, J.C. (2016). Analysis of causality between economic growth and carbon emissions: the case of Mexico 1971-2011. International Journal of Energy and Environmental Engineering, 10(12), 1086–1091. https://doi.org/10.5281/zenodo.1128099

Grossman, G. M., & Krueger, A. B. (1991). Environmental Impacts of a North American Free Trade Agreement. National Bureau of Economic Research. Working Paper, n° 3914.

Im, K.S., Pesaran, M.H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi. org/10.1016/S0304-4076(03)00092-7

Ito, K. (2017). co2 emissions, renewable and non-renewable energy consumption, and economic growth: Evidence from panel data for developing countries. International Economics, 151, 1–6. https://doi.org/10.1016/j.inteco.2017.02.001

Kantar, E., & Keskin, M. (2013). The relationships between electricity consumption and gdp in Asian countries, using hierarchical structure methods. Physica A: Statistical Mechanics and its Applications, 392(22), 5678–5684. https://doi.org/10.1016/j.physa.2013.07.029

Levin, A., Lin, C.F., & Chu, C. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. https://doi.org/10.1016/S0304-4076(01)00098-7

López, L., & Weber, S. (2017). Testing for Granger causality. The Stata Journal, 17(4), 972–984. https://doi.org/10.1177/1536867X1801700412

Mantegna, R.N., & Stanley, H. (2000). An introduction to Econophysics: Correlations and Complexity in Finance. Cambridge University Press.

Mantegna, R.N. (1999). Hierarchical structure in financial markets. The European Physical Journal B-Condensed Matter and Complex Systems, 11(1), 193–197. https://doi.org/10.1007/s100510050929

Molgedey, L., & Ebeling, W. (2000). Local Order, Entropy and Predictability of Financial Time Series. The European Physical Journal B-Condensed Matter and Complex Systems, 15(4), 733–737. https://doi.org/10.1007/s100510051178

Munir, Q., Lean, H. H., & Smyth, R. (2020). co2 emissions, energy consumption and economic growth in the asean-5 countries: a crosssectional dependence approach. Energy Economics, 85, 104571. https://doi.org/10.1016/j.eneco.2019.104571

Mitic, P., Munitlak Ivanovic, O., & Zdravkovic, A. (2017). A cointegration análisis of real gdp and co2 emissions in transitional countries. Sustainability, 9(4), 568. https://doi.org/10.3390/su9040568

Narayan, P.K., Saboori, B., & Soleymani, A. (2015). Economic growth and carbon emissions. Economic Modelling, 53, 388–397. https://doi.org/10.1016/j.econmod.2015.10.027

Nguyen, KH., & Kakinaka, M. (2018). Renewable energy consumption, carbon emissions, and development stages: some evidence from panel cointegration analysis. Renewable Energy, 132, 1049–1057. https://doi.org/10.1016/j.renene.2018.08.069

Ozturk, I. (2017). Measuring the impact of alternative and nuclear energy consumption, carbon dioxide emissions and oil rents on specific growth factors in the panel of Latin American countries. Progress in Nuclear Energy, 100, 71–81. https://doi.org/10.1016/j.pnucene.2017.05.030

Pao, H.T., & Tsai, C.M. (2015). Modeling and forecasting the co2 emissions, energy consumption, and economic growth in Brazil. Energy, 36(5), 2450–2458. https://doi.org/10.1016/j.energy.2011.01.032

Patiño, L., Padilla, E., Alcantara, V., & Raymond, J.L. (2019). The relation of gdp per capita with energy and co2 emissions in Colombia. Departmen d’Economia Aplicada. Facultar d’Economia i Empresa. Universitat Autónoma de Barcelona.

Kantar, E., Aslan, A., Deviren, B., & Keskin, M. (2016). Hierarchical structure of the countries based on electricity consumption and economic growth. Physica A: Statistical Mechanics and its Applications, 454, 1–10. https://doi.org/10.1016/j.physa.2016.01.075

Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panel with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653–670. https://doi.org/10.1111/1468-0084.0610s1653

Pedroni, P. (2001). Fully Modified ols for heterogeneous cointegrated panels. En B. H. Balragi, T.B. Fomby & R. Carter Hill (Eds.), Nonstationary Panels, Panel Cointegration and Dynamic Panels (vol. 15) (pp. 93–130). Emerald Group Publishing Limited. https://doi.org/10.1016/S0731-9053(00)15004-2

Phillips, P. C. B., & Hansen., B.E. (1990). Statistical inference in instrumental variables regression with I (1) processes. The Review of Economic Studies, 57(1), 99–125. https://doi.org/10.2307/2297545

Piccardi, C. (2004). On the control of chaotic systems via symbolic time series analysis. Chaos: An Interdisciplinary Journal of Nonlinear Science, 14(4), 1026–1034. https://doi.org/10.1063/1.1796071

Risso, W.A. (2019). Symbolic time series analysis and its application in social sciences. Time Series Analysis and Applications. Time Series Analysis and Applications. Zagreb. Croatia: InTech, 107–126. https://doi.org/10.5772/intechopen.70826

Rodríguez-Caballero, C.V., & Ventosa-Santaularia, D. (2017). Energy-growth long-term relationship under structural breaks. Evidence from Canada, 17 Latin American economies and the usa. Energy Economics, 61, 121–134.

Saboori, B., Sulaiman, J., & Mohd, S. (2012). Economic growth and co2 emissions in Malaysia: a cointegration analysis of the environmental Kuznets curve. Energy Policy, 51, 184–191. https://doi.org/10.1016/j.enpol.2012.08.065

Saidi, S., & Hammami, S. (2017). Modeling the causal linkages between transport, economic growth and environmental degradation for 75 countries. Transportation Research Part D: Transport and Environment, 53, 415–427. https://doi.org/10.1016/j.trd.2017.04.031

Salazar-Nuñez H., Vanegas-Martínez F., & Tinoco-Zermeño M. (2020). Impact of energy consumption and carbon dioxide emissions on economic growth: Cointegrated panel data in 79 countries grouped by income level. International Journal of Energy Economics and Policy, 10(2), 218–226. https://doi.org/10.32479/ijeep.8783

Sánchez, L., & Caballero, K. (2019). La curva de Kuznets Ambiental y su relación con el cambio climático en América Latina y el Caribe: un análisis de cointegración con panel, 1980-2015. Revista de Economía de Rosario, 22(1), 101-142. https://doi.org/10.32479/ijeep.8783

Santana de Souza, E., De Souza Freire, F., & Pires, J. (2018). Determinants of co2 emissions in the Mercosur: the role of economic growth, and renewable and non-renewable energy. Enviromental Science and Pollution. Research, 25(21), 20769–20781. https://doi.org/10.1007/s11356-018-2231-8

Shahbaz, M., Ozturk, I., Afza, T., & Ali, A. (2013). Revisiting the environmental Kuznets curve in a global economy. Renewable and Sustainable Energy Reviews, 25, 494–502. https://doi.org/10.1016/j.rser.2013.05.021

Souza Mendonca, A.K., De Andrade Conradi Barni, G., Moro, MF., Bornia, AC., Kupek, E., & Fernandez, L. (2020). Hierarchical modeling of the 50 largest economies to verify the impact of gdp, population and renewable energy generation in co2 emissions. Sustainable Production and Consumption, 22, 58–67. https://doi.org/10.1016/j.spc.2020.02.001

Sunkel, O., & Gligo, N. (1980). Estilos de desarrollo y medio ambiente en América Latina (vol. 1). Fondo de Cultura Económica. Tang, X.Z., Tracy, E.R., & Brown, R. (1997). Symbol Statistics and Spatio-Temporal Systems. Physica D: Nonlinear Phenomena, 102(3-4), 253–261. https://doi.org/10.1016/S0167-2789(96)00201-1

Vujović, T., Petković, Z., Pavlović, M., & Jović, S. (2018). Economic growth based in carbon dioxide emission intensity. Physica A: Statistical Mechanics and its Applications, 506, 179–185. https://doi.org/10.1016/j.physa.2018.04.074

Wang, S., Li, G., & Fang, C. (2017). Urbanization, economic growth, energy consumption, and co2 emissions: Empirical evidence from countries with different income levels. Renewable and Sustainable Energy Reviews, 81, 2144–2159. https://doi.org/10.1016/j.rser.2017.06.025

Wang, Q., & Wu, N. (2012). Long-run covariance and its applications in cointegration regression. The Stata Journal, 12(3), 512–542. https://doi.org/10.1177/1536867X1201200312

Wawrzyniak, D., & Doryń, W. (2020) Does the quality of institutions modify the economic growth-carbon dioxide emissions nexus? Evidence from a group of emerging and developing countries. Economic research-Ekonomska Istraživanja, 33(1), 124–144.

Zafar, M., Mirza, F., Haider Zaidi, S., & Hou, F. (2019). The nexus of renewable and nonrenewable energy consumption, trade openness, and co2 emissions in the framework of ekc: evidence from emerging economies. Environmental Science and Pollution Research, 26(15), 15162–15173. https://doi.org/10.1007/s11356-019-04912-w

Zambrano-Monserrate, M., Silva-Zambrano, C., Davalos-Penafiel, J., Zambrano-Monserrate, A., & Ruano, MA. (2018). Testing envirnmental Kuznets curve hypothesis in Perú: The role of renewable electricity, petroleum and dry natural gas. Renewable and Sustainable Energy Reviews, 82, 4170–4178. https://doi.org/10.1016/j.rser.2017.11.005

Zambrano-Monserrate, M., Troccoly-Quiroz, A., & Pacheco-Borja, M.J. (2016). Testing the Environmental Kuznets Curve in Iceland: 1960-2010. Revista de Economía de Rosario, 19(1), 5–28. https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.5239

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