Calidad ambiental y crecimiento económico: análisis dinámico para América Latina y el Caribe
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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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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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