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Autor
Baoula Kodjo W. (Université de Lomé, Togo)
Tytuł
Énergie Renouvelable, Croissance Économique et Attenuation des Émissions de Dioxyde de Carbone dans les Pays de L'UEMOA
Renewable Energy, Economic Growth and Carbon Emission Attenuation in WAEMU Countries
Źródło
Revue Internationale des Economistes de Langue Française : revue de l'Association Internationale de Economistes de Langue Française avec la collaboration Université des Sciences Economiques et de Gestion, 2022, vol. 7, nr 2, s. 114-142, rys., tab., bibliogr. 85 poz.
Słowa kluczowe
Energia odnawialna, Odnawialne źródła energii, Strategia rozwoju energetyki odnawialnej, Wzrost gospodarczy, Emisja gazów
Renewable energy, Renewable energy sources, Renewable energy development strategy, Economic growth, Gas emissions
Uwagi
klasyfikacja JEL: C23, O55, Q42, Q43, Q51
res., summ.
Firma/Organizacja
Wspólnota Gospodarcza Państw Afryki Zachodniej (ECOWAS)
Kraj/Region
Afryka Zachodnia
West Africa
Abstrakt
L'efficacité des énergies renouvelables pour assurer la croissance économique et la qualité de l'environnement devient un sujet important dans la littérature économique, étant donné que les énergies fossiles majoritairement utilisées et menacées par le risque d'épuisement entraînent une augmentation des émissions de gaz à effet de serre. L'objectif de ce papier est d'analyser l'effet de la consommation des énergies renouvelables sur la croissance économique et les émissions de dioxyde de carbone dans les pays de l'UEMOA. Pour ce faire, nous utilisons les fonctions de croissance et d'environnement avec une investigation empirique basée sur une régression linéaire en données de panel constituées des pays de l'UEMOA sur la période 1990 à 2015. Les résultats des estimations par la méthode de Pooled Mean Group développée par Pesaran et alii (1999) montrent principalement qu'à long terme, l'utilisation des énergies renouvelables contribue significativement à promouvoir la croissance économique et à atténuer la dégradation de l'environnement à travers la réduction des émissions de carbone. A cet effet, les décideurs politiques devraient orienter la politique énergétique de l'union vers un mix-énergétique dominé par la production et la consommation d'énergie renouvelable ; tout en mettant en place une politique de contrôle des émissions de CO2. .(abstrakt oryginalny)

The effectiveness of renewable energies in ensuring economic growth and environmental quality is becoming an important topic in the economic literature, due to the fact that the predominantly used fossil energies which are threatened by the risk of depletion lead to an increase in greenhouse gas emissions. The present paper aims to analyze the effect of renewable energy consumption on economic growth and carbon dioxide emissions in the WAEMU countries. To this end, we use growth and environment functions with an empirical investigation based on a linear regression in panel data consisting of the WAEMU countries over the period 1990 to 2015. The results of the estimations by the Pooled Mean Group method developed by Pesaran and others (1999) mainly show that in the long run, the use of renewable energy contributes significantly to promoting economic growth and attenuating environmental degradation through the reduction of carbon emissions. Therefore, policy makers should orient the Union's energy policy towards an energy mix dominated by the production and consumption of renewable energy; while at the same time putting in place a policy to control CO2 emissions.(original abstract)
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Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
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  1. Ali, W., Abdullah, A., & Azam, M. (2017). Re-visiting the environmental Kuznets curve hypothesis for Malaysia: Fresh evidence from ARDL bounds testing approach. Renewable and Sustainable Energy Review, 77, 990-1000.
  2. Apergis, N., Payne, J. E., Menyah, K., & Wolde-Rufael, Y. (2010). On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth. Ecological Economics, 69(11), 2255-2260.
  3. Aydin, F. F. (2013). CO2 emissions, renewable energy consumption, population density and economic growth in G7 countries. Bilgi Ekonomisi ve Yönetimi Dergisi, 8(2), 89-104.
  4. Balaguer, J., & Cantavella, M. (2016). Estimating the environmental Kuznets curve for Spain by considering fuel oil prices (1874-2011). Ecological Indicators, 60, 853-859.
  5. Baltagi, B. H. (2013). Dynamic panel data models. In N. Hashimzade & M. A. Thornton (Eds.), Handbook of research methods and applications in empirical macroeconomics (pp. 229-248). Edward Elgar Publishing.
  6. Bernard, J. T., Gavin, M., Khalaf, L., & Voia, M. (2015). Environmental Kuznets curve: Tipping points, uncertainty and weak identification. Environmental and Resource Economics, 60(2), 285-315.
  7. Bhattacharya, M., Paramati, S. R., Ozturk, I., & Bhattacharya, S. (2016). The effect of renewable energy consumption on economic growth : Evidence from top 38 countries. Applied Energy, 162, 733-741.
  8. Blackburne III, E. F., & Frank, M. W. (2007). Estimation of nonstationary heterogeneous panels. The Stata Journal, 7(2), 197-208.
  9. Chen, Q., & Taylor, D. (2020). Economic development and pollution emissions in Singapore: Evidence in support of the Environmental Kuznets Curve hypothesis and its implications for regional sustainability. Journal of Cleaner Production, 243, 118637.
  10. Choi, E., & Heshmati, A., & Cho, Y. (2010). An empirical study of the relationships between CO2 emissions, economic growth and openness. Discussion Paper Series IZA DP, 5304.
  11. Choi, I. (2006). Combination unit root tests for cross-sectionally correlated panels. In D. Corbae, S. N. Durlauf & B. E. Hansen (Eds.), Econometric theory and practice: Frontiers of analysis and applied research. Essays in honor of Peter C. B. Phillips (pp. 311-333). Cambridge University Press.
  12. Chontanawat, J., Hunt, L. C., & Pierse, R. (2008). Does energy consumption cause economic growth?: Evidence from a systematic study of over 100 countries. Journal of Policy Modeling, 30(2), 209-220.
  13. Congregado, E., Feria-Gallardo, J., Golpe, A. A., & Iglesias, J. (2016). The environmental Kuznets curve and CO2 emissions in the USA. Environmental Science and Pollution Research, 23(18), 18407-18420.
  14. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
  15. Eberhardt, M. (2011). MULTIPURT : Stata module to run 1st and 2nd generation panel unit root tests for multiple variables and lags. Statistical Software Components S457239, Boston College Department of Economics.
  16. Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica: Journal of the Econometric Society, 251-276.
  17. Gozgor, G., Lau, C. K. M., & Lu, Z. (2018). Energy consumption and economic growth: New evidence from the OECD countries. Energy, 153, 27-34.
  18. Grossman, G. M., & Krueger, A. B. (1991). Environmental impacts of a North American free trade agreement. National Bureau of Economic Research.
  19. Gu, Z., Gao, Y., & Li, C. (2013). An empirical research on trade liberalization and CO2 emissions in China. 2013 International Conference on Education Technology and Information System (ICETIS 2013).
  20. Guillaumin, C. (2008). (A) symétrie et convergence des chocs macroéconomiques en Asie de l'Est: Une analyse dynamique. Economie Internationale, 2, 29-68.
  21. Gutierrez, L. (2003). On the power of panel cointegration tests: A Monte Carlo comparison. Economics Letters, 80(1), 105-111.
  22. Hossain, M. S., & Saeki, C. (2012). A dynamic causality study between electricity consumption and economic growth for global panel: Evidence from 76 countries. Asian Economic and Financial Review, 2(1), 1.
  23. Huang, B. N., Hwang, M. J., & Yang, C. W. (2008). Does more energy consumption bolster economic growth? An application of the nonlinear threshold regression model. Energy Policy, 36(2), 755-767.
  24. Hurlin, C., & Mignon, V. (2007). Second generation panel unit root tests. Working Papers halshs-00159842.
  25. Im, K. S., Pesaran, M. H., & Shin, Y. (1997). Testing for unit roots in heterogeneous panels'. University of Cambridge.
  26. Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74.
  27. Islam, M., Kanemoto, K., & Managi, S. (2016). Impact of trade openness and sector trade on embodied greenhouse gases emissions and air pollutants. Journal of Industrial Ecology, 20(3), 494-505.
  28. Kacprzyk, A., & Kuchta, Z. (2020). Shining a new light on the environmental Kuznets curve for CO2 emissions. Energy Economics, 87, 104704.
  29. Kais, S., & Sami, H. (2016). An econometric study of the impact of economic growth and energy use on carbon emissions: Panel data evidence from fifty eight countries. Renewable and Sustainable Energy Reviews, 59, 1101-1110.
  30. Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1-44.
  31. Keho, Y. (2015). An econometric study of the long-run determinants of CO2 emissions in Cote d'Ivoire. Journal of Finance and Economics, 3(2), 11-21.
  32. Khoshnevis Yazdi, S., & Shakouri, B. (2017). The globalization, financial development, renewable energy, and economic growth. Energy Sources, Part B: Economics, Planning, and Policy, 12(8), 707-714.
  33. Kraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 401-403.
  34. Lee, C. C., Chang, C. P., & Chen, P. F. (2008). Energy-income causality in OECD countries revisited: The key role of capital stock. Energy Economics, 30(5), 2359-2373.
  35. Leitão, N. C. (2014). Economic growth, carbon dioxide emissions, renewable energy and globalization. International Journal of Energy Economics and Policy, 3, 391-399.
  36. Levin, A., & Lin, C. F. (1993). Unit root tests in panel data: New results. University of California at San Diego, Economics Working Paper Series.
  37. Levin, 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.
  38. Lin, B., & Moubarak, M. (2014). Renewable energy consumption-economic growth nexus for China. Renewable and Sustainable Energy Reviews, 40, 111-117.
  39. Linh, D. H., & Lin, S. M. (2014). CO2 emissions, energy consumption, economic growth and FDI in Vietnam. Managing Global Transitions: International Research Journal, 12(3).
  40. Lu, W. C. (2017). Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis for 16 Asian countries. International Journal of Environmental Research and Public Health, 14(11), 1436.
  41. Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and statistics, 61(S1), 631-652.
  42. Managi, S., Hibiki, A., & Tsurumi, T. (2008). Does trade liberalization reduce pollution emissions?. Discussion Papers, 8013.
  43. Martínez-Zarzoso, I., & Maruotti, A. (2011). The impact of urbanization on CO2 emissions: Evidence from developing countries. Ecological Economics, 70(7), 1344-1353.
  44. Masih, A. M., & Masih, R. (1998). A multivariate cointegrated modelling approach in testing temporal causality between energy consumption, real income and prices with an application to two Asian LDCs. Applied Economics, 30(10), 1287-1298.
  45. Menegaki, A. N. (2011). Growth and renewable energy in Europe: A random effect model with evidence for neutrality hypothesis. Energy Economics, 33(2), 257-263.
  46. Menyah, K., & Wolde-Rufael, Y. (2010). CO2 emissions, nuclear energy, renewable energy and economic growth in the US. Energy Policy, 38(6), 2911-2915.
  47. Mohapatra, G., & Giri, A. K. (2015). Energy consumption, economic growth and CO2 emissions: Empirical evidence from India. The Empirical Econometrics and Quantitative Economics Letters, 4(1), 17-32.
  48. Omri, A. (2013). CO2 emissions, energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models. Energy Economics, 40, 657-664.
  49. Omri, A. (2014). An international literature survey on energy-economic growth nexus: Evidence from country-specific studies. Renewable and Sustainable Energy Reviews, 38, 951-959.
  50. Omri, A., Mabrouk, N. B., & Sassi-Tmar, A. (2015). Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries. Renewable and Sustainable Energy Reviews, 42, 1012-1022.
  51. Ozturk, I., & Acaravci, A. (2010). CO2 emissions, energy consumption and economic growth in Turkey. Renewable and Sustainable Energy Reviews, 14(9), 3220-3225.
  52. Panwar, N. L., Kaushik, S. C., & Kothari, S. (2011). Role of renewable energy sources in environmental protection: A review. Renewable and Sustainable Energy Reviews, 15(3), 1513-1524.
  53. Pao, H. T., & Fu, H. C. (2013). Renewable energy, non-renewable energy and economic growth in Brazil. Renewable and Sustainable Energy Reviews, 25, 381-392.
  54. Payne, J. E. (2010). Survey of the international evidence on the causal relationship between energy consumption and growth. Journal of Economic Studies, 37(1), 53-95.
  55. Payne, J. E. (2012). The causal dynamics between US renewable energy consumption, output, emissions, and oil prices. Energy Sources, Part B: Economics, Planning, and Policy, 7(4), 323-330.
  56. Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653-670.
  57. Pedroni, 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.
  58. Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. IZA Discussion Paper, 1240. Institute for the Study of Labor.
  59. Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265-312.
  60. Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled Mean Group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621-634.
  61. Pesaran, M. H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79-113.
  62. Phillips, P. C., & Sul, D. (2003). Dynamic panel estimation and homogeneity testing under cross section dependence. The Econometrics Journal, 6(1), 217-259.
  63. Ponce de Leon Barido, D., & Marshall, J. D. (2014). Relationship between urbanization and CO2 emissions depends on income level and policy. Environmental Science & Technology, 48(7), 3632-3639.
  64. Rathnayaka, R. K. T., Seneviratna, D., & Long, W. (2018). The dynamic relationship between energy consumption and economic growth in China. Energy Sources, Part B: Economics, Planning, and Policy, 13(5), 264-268.
  65. Sadorsky, P. (2009). Renewable energy consumption and income in emerging economies. Energy Policy, 37(10), 4021-4028.
  66. Sadorsky, P. (2012). Energy consumption, output and trade in South America. Energy Economics, 34(2), 476-488.
  67. Saidi, K., & Mbarek, M. B. (2016). Nuclear energy, renewable energy, CO2 emissions, and economic growth for nine developed countries: Evidence from panel Granger causality tests. Progress in Nuclear Energy, 88, 364-374.
  68. Saidi, K., & Omri, A. (2020). The impact of renewable energy on carbon emissions and economic growth in 15 major renewable energy-consuming countries. Environmental Research, 109567.
  69. Samargandi, N., Fidrmuc, J., & Ghosh, S. (2015). Is the relationship between financial development and economic growth monotonic? Evidence from a sample of middle-income countries. World Development, 68, 66-81.
  70. Sari, R., Ewing, B. T., & Soytas, U. (2008). The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach. Energy Economics, 30(5), 2302-2313.
  71. Sekar, S., & Sohngen, B. (2014). The effects of renewable portfolio standards on carbon intensity in the United States. Resources for the Future Discussion Paper, 14-10.
  72. Shahbaz, M., Loganathan, N., Muzaffar, A. T., Ahmed, K., & Jabran, M. A. (2016). How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model. Renewable and Sustainable Energy Reviews, 57, 83-93.
  73. Sharma, S. S. (2010). The relationship between energy and economic growth: Empirical evidence from 66 countries. Applied Energy, 87(11), 3565-3574.
  74. Silva, S., Soares, I., & Pinho, C. (2012). The impact of renewable energy sources on economic growth and CO2 emissions: A SVAR approach. European Research Studies, 15, 133.
  75. Sinha, A., & Bhattacharya, J. (2017). Estimation of environmental Kuznets curve for SO2 emission: A case of Indian cities. Ecological Indicators, 72, 881-894.
  76. Soukiazis, E., Proenca, S., & Cerqueira, P. A. (2019). The interconnections between renewable energy, economic development and environmental pollution: A simultaneous equation system approach. The Energy Journal, 40(4).
  77. Soytas, U., & Sari, R. (2003). Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Economics, 25(1), 33-37.
  78. Sugiawan, Y., & Managi, S. (2016). The environmental Kuznets curve in Indonesia: Exploring the potential of renewable energy. Energy Policy, 98, 187-198.
  79. Swain, R. B., & Karimu, A. (2020). Renewable electricity and sustainable development goals in the EU. World Development, 125, 104693.
  80. Tiwari, A. K. (2011). Comparative performance of renewable and nonrenewable energy source on economic growth and CO2 emissions of Europe and Eurasian countries: A PVAR approach. Economics Bulletin, 31(3), 2356-2372.
  81. Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748.
  82. Wolde-Rufael, Y., & Menyah, K. (2010). Nuclear energy consumption and economic growth in nine developed countries. Energy Economics, 32(3), 550-556.
  83. World Bank. (2019). WDI: World Development Indicators. DataBank. https://databank. worldbank.org.
  84. Youssef, A. B., Hammoudeh, S., & Omri, A. (2016). Simultaneity modeling analysis of the environmental Kuznets curve hypothesis. Energy Economics, 60, 266-274.
  85. Zaghdoudi, T. (2017). Oil prices, renewable energy, CO2 emissions and economic growth in OECD countries. Economics Bulletin, 37(3), 1844-1850.
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ISSN
2551-895X
Język
fre
URI / DOI
http://dx.doi.org/10.18559/RIELF.2022.2.5
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