Research Article
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Year 2023, Volume: 37 Issue: 1, 225 - 241, 29.03.2023
https://doi.org/10.48070/erciyesakademi.1224679

Abstract

References

  • André, F., & Smulders, S. (2004, June). Energy use, endogenous technical change and economic growth. EAERE 13th Annual Conference [Oral presentation]. Budapeşte, Hungary.
  • Altıntaş, H. (2013). Türkiye’de birincil enerji tüketimi, karbondioksit emisyonu ve ekonomik büyüme ilişkisi: Eşbütünleşme ve nedensellik analizi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 8(1), 263- 294.
  • Apaydın, Ş., & Taşdoğan, C. (2019). Türkiye'de yenilenebilir ve birincil enerji talebinin büyüme üzerindeki uzun dönem etkileri. Üçüncü Sektör Sosyal Ekonomi Dergisi, 54(1), 431-445.https://doi.org/10.15659/3.sektor-sosyal-ekonomi.19.03.1109
  • Baltagi, B. H., & Wu, P. X. (1999) Unequally spaced panel data regressions with Ar(1) disturbances. Econometric Theory, 15(06), 814-823.
  • Bayar, Y. (2014). Türkiye’de birincil enerji kullanımı ve ekonomik büyüme. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 28(2), 253-269.
  • Bowden, N., & Payne, J. E. (2009). The causal relationship between US energy consumption and real output: A disaggregated analysis. Journal of Policy Modeling, 31(2), 180-188. https://doi.org/10.1016/j.jpolmod.2008.09.001
  • Bowden, N., & Payne, J. E. (2010). Sectoral analysis of the causal relationship between renewable and non- renewable energy consumption and real output in the US. Energy Sources, Part B: Economics, Planning, and Policy, 5(4), 400-408. https://doi.org/10.1080/15567240802534250
  • BP Statiscal Review of World Energy (2022,15 Ekim). BP Statiscal Review of World Energy 2017, 71st edition. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy- economics/statistical-review/bp-stats-review-2022-full-report.pdf
  • Breusch, T. S., & Pagan, A. R. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Cook, R. D., & Weisberg, S. (1983). Diagnostics for heteroscedasticity in regression. Biometrika, 70(1), 1-10. https://doi.org/10.1093/biomet/70.1.303
  • Dasgupta, P. S., & Heal, G. M. (1979). Economic theory and exhaustible resources. Cambridge University Press.
  • Durbin, J., & Watson, G.S. (1950) Testing for serial correlation in least squares regression: I. Biometrika, 37(3/4), 409-428. https://doi.org/10.2307/2332391
  • Durbin, J., & Watson, G. S. (1951) Testing for serial correlation in least squares regression: II. Biometrika, 38, 159- 177. https://doi.org/10.2307/2332325
  • Durbin, J., & Watson, G.S. (1971). Testing for serial correlation in least squares regression: III. Biometrika, 58, 1-19. https://doi.org/10.2307/2334313
  • Durrani, S. F., Jan, I., & Ahmad, M. (2021). Do primary energy consumption and economic growth drive each other in Pakistan? Implications for energy policy. Biophysical Economics and Sustainability, 6(3), 1-10. https://doi.org/10.1007/s41247-021-00090-x
  • Gezdim, S. B. (2017). Küresel CO2 emisyonunun belirleyicilerinin analizi: dinamik panel kantil regresyon modeli (Yayımlanmamış Doktora Tezi). Uludağ Üniversitesi Sosyal Bilimler Enstitüsü.
  • Georgescu-Roegen, N. (1971). The entropy law and economic process. Harvard University Press.
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 1251-1271. https://doi.org/10.2307/1913827
  • Jackson, R. B., Friedlingstein, P., Le Quéré, C., Abernethy, S., Andrew, R. M., Canadell, J. G., Ciasis P., Davis S. J., Deng Z., Liu Z., Korsbakken J. I., & Peters, G. P. (2022). Global fossil carbon emissions rebound near pre-covid-19 levels. Environmental Research Letters, 17(3), 031001. https://doi.org/10.1088/1748-9326/ac55b6
  • Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics letters, 6(3), 255-259. https://doi.org/10.1016/0165-1765(80)90024-5
  • Jarque, C. M., & Bera, A. K. (1987) A test for normality of observations and regression residuals. International Statistical Review/Revue Internationale de Statistique, 163-172. https://doi.org/10.2307/1403192
  • Jebli, M. B., & Youssef, S. B. (2015). Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries. Renewable energy, 83, 799-808. https://doi.org/10.1016/j.renene.2015.04.061
  • Kato, K., Galvao Jr, A. F., & Montes-Rojas, G. V. (2012). Asymptotics for panel quantile regression models with individual effects. Journal of Econometrics, 170(1), 76-91. https://doi.org/10.1016/j.jeconom.2012.02.007
  • Koç, E., & Kaya, K. (2015) Enerji kaynakları-yenilenebilir enerji durumu. Mühendis ve Makina, 56(668), 36-47.
  • Kraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 401-403. https://doi.org/10.1016/0140-9883(84)90015-X
  • Nguyen, H. M., & Ngoc, B. H. (2020). Energy consumption-economic growth nexus in Vietnam: an ARDL approach with a structural break. The Journal of Asian Finance, Economics, and Business, 7(1), 101-110. https://doi.org/10.13106/jafeb.2020.vol7.no1.101
  • Oh, W., & Lee, K. (2004). Causal relationship between energy consumption and GDP revisited: the case of Korea 1970–1999. Energy economics, 26(1), 51-59. https://doi.org/10.1016/S0140-9883(03)00030-6
  • Pata, U. K., Yurtkuran, S., & Kalça, A. (2016). Türkiye’de enerji tüketimi ve ekonomik büyüme: ARDL sınır testi yaklaşımı. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 38(2), 255-271. https://doi.org/10.14780/muiibd.281411
  • Payne, J. E. (2009). On the dynamics of energy consumption and output in the US. Applied Energy, 86, 575-577. https://doi.org/10.1016/j.apenergy.2008.07.003
  • Pearson, K. (1905). Skew variation, a rejoinder. Biometrika, 4(1-2), 169-212. https://doi.org/10.2307/2331536
  • Shahbaz, M., Van Hoang, T. H., Mahalik, M. K., & Roubaud, D. (2017). Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis. Energy Economics, 63, 199-212. https://doi.org/10.1016/j.eneco.2017.01.023
  • Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611. https://doi.org/10.2307/2333709
  • Soytaş, U., & Sarı, R. (2003). Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Economics, 25, 33-37. https://doi.org/10.1016/S0140-9883(02)00009-9
  • Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15(1), 72–101. https://doi.org/10.2307/1422689
  • Statista (2022, 10 Ekim) Share of global gross domestic product from G-7 and G-20 countries in 2021 and projections for 2027. [Dataset] https://www.statista.com/statistics/722962/g20-share-of-global-gdp/
  • Stern, D. I. (2000). A multivariate cointegration analysis of the role of energy in the US macroeconomy. Energy economics, 22(2), 267-283. https://doi.org/10.1016/S0140-9883(99)00028-6
  • Stiglitz, J. E (1974). Growth with exhaustible natural resources: efficient and optimal growth paths. The Review of Economic Studies, 41, 123-138. https://doi.org/10.2307/2296377
  • Öztürk, İ. (2010). A literature survey on energy-growth nexus. Energy Policy, 38, 340-349. https://doi.org/10.1016/j.enpol.2009.09.024
  • Topcuoğlu, A., & Ayyıldız, F. V. (2020). E7 ülkelerinde kilit sektör analizi. MANAS Sosyal Araştırmalar Dergisi, 9(2), 822-833. https://doi.org/10.33206/mjss.573907
  • United Nations Conference On Trade And Development (2022,15 Eylül). Gross domestic product, total and per capita, current and constant prices, annual.[Dataset] https://unctadstat.unctad.org/wds/TableViewer/tableView.aspx
  • Yurtkuran, S. (2021). Enerji tüketimi, ekonomik büyüme ve lojistik arasındaki ilişki: Türkiye örneği. Fırat Üniversitesi Sosyal Bilimler Dergisi, 31(3), 1245-1260. https://doi.org/10.18069/firatsbed.875759
  • Zou, G., & Chau, K. W. (2006). Short-and long-run effects between oil consumption and economic growth in China. Energy policy, 34(18), 3644-3655. https://doi.org/10.1016/j.enpol.2005.08.009
Year 2023, Volume: 37 Issue: 1, 225 - 241, 29.03.2023
https://doi.org/10.48070/erciyesakademi.1224679

Abstract

References

  • André, F., & Smulders, S. (2004, June). Energy use, endogenous technical change and economic growth. EAERE 13th Annual Conference [Oral presentation]. Budapeşte, Hungary.
  • Altıntaş, H. (2013). Türkiye’de birincil enerji tüketimi, karbondioksit emisyonu ve ekonomik büyüme ilişkisi: Eşbütünleşme ve nedensellik analizi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 8(1), 263- 294.
  • Apaydın, Ş., & Taşdoğan, C. (2019). Türkiye'de yenilenebilir ve birincil enerji talebinin büyüme üzerindeki uzun dönem etkileri. Üçüncü Sektör Sosyal Ekonomi Dergisi, 54(1), 431-445.https://doi.org/10.15659/3.sektor-sosyal-ekonomi.19.03.1109
  • Baltagi, B. H., & Wu, P. X. (1999) Unequally spaced panel data regressions with Ar(1) disturbances. Econometric Theory, 15(06), 814-823.
  • Bayar, Y. (2014). Türkiye’de birincil enerji kullanımı ve ekonomik büyüme. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 28(2), 253-269.
  • Bowden, N., & Payne, J. E. (2009). The causal relationship between US energy consumption and real output: A disaggregated analysis. Journal of Policy Modeling, 31(2), 180-188. https://doi.org/10.1016/j.jpolmod.2008.09.001
  • Bowden, N., & Payne, J. E. (2010). Sectoral analysis of the causal relationship between renewable and non- renewable energy consumption and real output in the US. Energy Sources, Part B: Economics, Planning, and Policy, 5(4), 400-408. https://doi.org/10.1080/15567240802534250
  • BP Statiscal Review of World Energy (2022,15 Ekim). BP Statiscal Review of World Energy 2017, 71st edition. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy- economics/statistical-review/bp-stats-review-2022-full-report.pdf
  • Breusch, T. S., & Pagan, A. R. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Cook, R. D., & Weisberg, S. (1983). Diagnostics for heteroscedasticity in regression. Biometrika, 70(1), 1-10. https://doi.org/10.1093/biomet/70.1.303
  • Dasgupta, P. S., & Heal, G. M. (1979). Economic theory and exhaustible resources. Cambridge University Press.
  • Durbin, J., & Watson, G.S. (1950) Testing for serial correlation in least squares regression: I. Biometrika, 37(3/4), 409-428. https://doi.org/10.2307/2332391
  • Durbin, J., & Watson, G. S. (1951) Testing for serial correlation in least squares regression: II. Biometrika, 38, 159- 177. https://doi.org/10.2307/2332325
  • Durbin, J., & Watson, G.S. (1971). Testing for serial correlation in least squares regression: III. Biometrika, 58, 1-19. https://doi.org/10.2307/2334313
  • Durrani, S. F., Jan, I., & Ahmad, M. (2021). Do primary energy consumption and economic growth drive each other in Pakistan? Implications for energy policy. Biophysical Economics and Sustainability, 6(3), 1-10. https://doi.org/10.1007/s41247-021-00090-x
  • Gezdim, S. B. (2017). Küresel CO2 emisyonunun belirleyicilerinin analizi: dinamik panel kantil regresyon modeli (Yayımlanmamış Doktora Tezi). Uludağ Üniversitesi Sosyal Bilimler Enstitüsü.
  • Georgescu-Roegen, N. (1971). The entropy law and economic process. Harvard University Press.
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 1251-1271. https://doi.org/10.2307/1913827
  • Jackson, R. B., Friedlingstein, P., Le Quéré, C., Abernethy, S., Andrew, R. M., Canadell, J. G., Ciasis P., Davis S. J., Deng Z., Liu Z., Korsbakken J. I., & Peters, G. P. (2022). Global fossil carbon emissions rebound near pre-covid-19 levels. Environmental Research Letters, 17(3), 031001. https://doi.org/10.1088/1748-9326/ac55b6
  • Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics letters, 6(3), 255-259. https://doi.org/10.1016/0165-1765(80)90024-5
  • Jarque, C. M., & Bera, A. K. (1987) A test for normality of observations and regression residuals. International Statistical Review/Revue Internationale de Statistique, 163-172. https://doi.org/10.2307/1403192
  • Jebli, M. B., & Youssef, S. B. (2015). Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries. Renewable energy, 83, 799-808. https://doi.org/10.1016/j.renene.2015.04.061
  • Kato, K., Galvao Jr, A. F., & Montes-Rojas, G. V. (2012). Asymptotics for panel quantile regression models with individual effects. Journal of Econometrics, 170(1), 76-91. https://doi.org/10.1016/j.jeconom.2012.02.007
  • Koç, E., & Kaya, K. (2015) Enerji kaynakları-yenilenebilir enerji durumu. Mühendis ve Makina, 56(668), 36-47.
  • Kraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 401-403. https://doi.org/10.1016/0140-9883(84)90015-X
  • Nguyen, H. M., & Ngoc, B. H. (2020). Energy consumption-economic growth nexus in Vietnam: an ARDL approach with a structural break. The Journal of Asian Finance, Economics, and Business, 7(1), 101-110. https://doi.org/10.13106/jafeb.2020.vol7.no1.101
  • Oh, W., & Lee, K. (2004). Causal relationship between energy consumption and GDP revisited: the case of Korea 1970–1999. Energy economics, 26(1), 51-59. https://doi.org/10.1016/S0140-9883(03)00030-6
  • Pata, U. K., Yurtkuran, S., & Kalça, A. (2016). Türkiye’de enerji tüketimi ve ekonomik büyüme: ARDL sınır testi yaklaşımı. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 38(2), 255-271. https://doi.org/10.14780/muiibd.281411
  • Payne, J. E. (2009). On the dynamics of energy consumption and output in the US. Applied Energy, 86, 575-577. https://doi.org/10.1016/j.apenergy.2008.07.003
  • Pearson, K. (1905). Skew variation, a rejoinder. Biometrika, 4(1-2), 169-212. https://doi.org/10.2307/2331536
  • Shahbaz, M., Van Hoang, T. H., Mahalik, M. K., & Roubaud, D. (2017). Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis. Energy Economics, 63, 199-212. https://doi.org/10.1016/j.eneco.2017.01.023
  • Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611. https://doi.org/10.2307/2333709
  • Soytaş, U., & Sarı, R. (2003). Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Economics, 25, 33-37. https://doi.org/10.1016/S0140-9883(02)00009-9
  • Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15(1), 72–101. https://doi.org/10.2307/1422689
  • Statista (2022, 10 Ekim) Share of global gross domestic product from G-7 and G-20 countries in 2021 and projections for 2027. [Dataset] https://www.statista.com/statistics/722962/g20-share-of-global-gdp/
  • Stern, D. I. (2000). A multivariate cointegration analysis of the role of energy in the US macroeconomy. Energy economics, 22(2), 267-283. https://doi.org/10.1016/S0140-9883(99)00028-6
  • Stiglitz, J. E (1974). Growth with exhaustible natural resources: efficient and optimal growth paths. The Review of Economic Studies, 41, 123-138. https://doi.org/10.2307/2296377
  • Öztürk, İ. (2010). A literature survey on energy-growth nexus. Energy Policy, 38, 340-349. https://doi.org/10.1016/j.enpol.2009.09.024
  • Topcuoğlu, A., & Ayyıldız, F. V. (2020). E7 ülkelerinde kilit sektör analizi. MANAS Sosyal Araştırmalar Dergisi, 9(2), 822-833. https://doi.org/10.33206/mjss.573907
  • United Nations Conference On Trade And Development (2022,15 Eylül). Gross domestic product, total and per capita, current and constant prices, annual.[Dataset] https://unctadstat.unctad.org/wds/TableViewer/tableView.aspx
  • Yurtkuran, S. (2021). Enerji tüketimi, ekonomik büyüme ve lojistik arasındaki ilişki: Türkiye örneği. Fırat Üniversitesi Sosyal Bilimler Dergisi, 31(3), 1245-1260. https://doi.org/10.18069/firatsbed.875759
  • Zou, G., & Chau, K. W. (2006). Short-and long-run effects between oil consumption and economic growth in China. Energy policy, 34(18), 3644-3655. https://doi.org/10.1016/j.enpol.2005.08.009

THE ECONOMIC GROWTH EFFECT OF PRIMARY ENERGY CONSUMPTION IN G-7 COUNTRIES WITH PANEL CANTILE REGRESSION APPROACH

Year 2023, Volume: 37 Issue: 1, 225 - 241, 29.03.2023
https://doi.org/10.48070/erciyesakademi.1224679

Abstract

After the Industrial Revolution, the worldwide increasing need for raw materials showed its reflection in the dimension of primary energy consumption. This has made primary energy consumption an important determinant in economic activities. Therefore, questioning the relationship between economic growth and primary energy consumption has a special importance in ensuring sustainable economic growth and development, which is one of the main common goals of countries. In this context, the aim of this study is to measure the effect of primary energy consumption on economic growth in the period of 1990-2021 in the sample of G-7 countries, which have 30.7% of the global capital as of 2021. For the purpose, panel quantile regression analysis was performed, Spearman's rank correlation test, Shapiro-Wilk W, Skewness/Kurtosis and Jarque-Bera normality tests and Hausman test were performed, respectively. Durbin-Watson / Baltagi-Wu autocorrelation tests and Breusch-Pagan / Cook-Weisberg varying variance tests were performed to determine whether there were autocorrelation and varying variance problems between panel quantile regression models calculated in the 10th-90th different quantile range. Since there are variance and autocorrelation problems between different quantile models, the model is estimated at the 50th quantile level with robust standard errors to solve these problems. As a result of the estimation of the model with robust standard errors using the panel quantile regression approach, it was found that a 1% increase in primary energy consumption in the G-7 countries during the 1990-2021 period increased the economic growth by approximately 2.29% at the 5% significance level.

References

  • André, F., & Smulders, S. (2004, June). Energy use, endogenous technical change and economic growth. EAERE 13th Annual Conference [Oral presentation]. Budapeşte, Hungary.
  • Altıntaş, H. (2013). Türkiye’de birincil enerji tüketimi, karbondioksit emisyonu ve ekonomik büyüme ilişkisi: Eşbütünleşme ve nedensellik analizi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 8(1), 263- 294.
  • Apaydın, Ş., & Taşdoğan, C. (2019). Türkiye'de yenilenebilir ve birincil enerji talebinin büyüme üzerindeki uzun dönem etkileri. Üçüncü Sektör Sosyal Ekonomi Dergisi, 54(1), 431-445.https://doi.org/10.15659/3.sektor-sosyal-ekonomi.19.03.1109
  • Baltagi, B. H., & Wu, P. X. (1999) Unequally spaced panel data regressions with Ar(1) disturbances. Econometric Theory, 15(06), 814-823.
  • Bayar, Y. (2014). Türkiye’de birincil enerji kullanımı ve ekonomik büyüme. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 28(2), 253-269.
  • Bowden, N., & Payne, J. E. (2009). The causal relationship between US energy consumption and real output: A disaggregated analysis. Journal of Policy Modeling, 31(2), 180-188. https://doi.org/10.1016/j.jpolmod.2008.09.001
  • Bowden, N., & Payne, J. E. (2010). Sectoral analysis of the causal relationship between renewable and non- renewable energy consumption and real output in the US. Energy Sources, Part B: Economics, Planning, and Policy, 5(4), 400-408. https://doi.org/10.1080/15567240802534250
  • BP Statiscal Review of World Energy (2022,15 Ekim). BP Statiscal Review of World Energy 2017, 71st edition. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy- economics/statistical-review/bp-stats-review-2022-full-report.pdf
  • Breusch, T. S., & Pagan, A. R. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Cook, R. D., & Weisberg, S. (1983). Diagnostics for heteroscedasticity in regression. Biometrika, 70(1), 1-10. https://doi.org/10.1093/biomet/70.1.303
  • Dasgupta, P. S., & Heal, G. M. (1979). Economic theory and exhaustible resources. Cambridge University Press.
  • Durbin, J., & Watson, G.S. (1950) Testing for serial correlation in least squares regression: I. Biometrika, 37(3/4), 409-428. https://doi.org/10.2307/2332391
  • Durbin, J., & Watson, G. S. (1951) Testing for serial correlation in least squares regression: II. Biometrika, 38, 159- 177. https://doi.org/10.2307/2332325
  • Durbin, J., & Watson, G.S. (1971). Testing for serial correlation in least squares regression: III. Biometrika, 58, 1-19. https://doi.org/10.2307/2334313
  • Durrani, S. F., Jan, I., & Ahmad, M. (2021). Do primary energy consumption and economic growth drive each other in Pakistan? Implications for energy policy. Biophysical Economics and Sustainability, 6(3), 1-10. https://doi.org/10.1007/s41247-021-00090-x
  • Gezdim, S. B. (2017). Küresel CO2 emisyonunun belirleyicilerinin analizi: dinamik panel kantil regresyon modeli (Yayımlanmamış Doktora Tezi). Uludağ Üniversitesi Sosyal Bilimler Enstitüsü.
  • Georgescu-Roegen, N. (1971). The entropy law and economic process. Harvard University Press.
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 1251-1271. https://doi.org/10.2307/1913827
  • Jackson, R. B., Friedlingstein, P., Le Quéré, C., Abernethy, S., Andrew, R. M., Canadell, J. G., Ciasis P., Davis S. J., Deng Z., Liu Z., Korsbakken J. I., & Peters, G. P. (2022). Global fossil carbon emissions rebound near pre-covid-19 levels. Environmental Research Letters, 17(3), 031001. https://doi.org/10.1088/1748-9326/ac55b6
  • Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics letters, 6(3), 255-259. https://doi.org/10.1016/0165-1765(80)90024-5
  • Jarque, C. M., & Bera, A. K. (1987) A test for normality of observations and regression residuals. International Statistical Review/Revue Internationale de Statistique, 163-172. https://doi.org/10.2307/1403192
  • Jebli, M. B., & Youssef, S. B. (2015). Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries. Renewable energy, 83, 799-808. https://doi.org/10.1016/j.renene.2015.04.061
  • Kato, K., Galvao Jr, A. F., & Montes-Rojas, G. V. (2012). Asymptotics for panel quantile regression models with individual effects. Journal of Econometrics, 170(1), 76-91. https://doi.org/10.1016/j.jeconom.2012.02.007
  • Koç, E., & Kaya, K. (2015) Enerji kaynakları-yenilenebilir enerji durumu. Mühendis ve Makina, 56(668), 36-47.
  • Kraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 401-403. https://doi.org/10.1016/0140-9883(84)90015-X
  • Nguyen, H. M., & Ngoc, B. H. (2020). Energy consumption-economic growth nexus in Vietnam: an ARDL approach with a structural break. The Journal of Asian Finance, Economics, and Business, 7(1), 101-110. https://doi.org/10.13106/jafeb.2020.vol7.no1.101
  • Oh, W., & Lee, K. (2004). Causal relationship between energy consumption and GDP revisited: the case of Korea 1970–1999. Energy economics, 26(1), 51-59. https://doi.org/10.1016/S0140-9883(03)00030-6
  • Pata, U. K., Yurtkuran, S., & Kalça, A. (2016). Türkiye’de enerji tüketimi ve ekonomik büyüme: ARDL sınır testi yaklaşımı. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 38(2), 255-271. https://doi.org/10.14780/muiibd.281411
  • Payne, J. E. (2009). On the dynamics of energy consumption and output in the US. Applied Energy, 86, 575-577. https://doi.org/10.1016/j.apenergy.2008.07.003
  • Pearson, K. (1905). Skew variation, a rejoinder. Biometrika, 4(1-2), 169-212. https://doi.org/10.2307/2331536
  • Shahbaz, M., Van Hoang, T. H., Mahalik, M. K., & Roubaud, D. (2017). Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis. Energy Economics, 63, 199-212. https://doi.org/10.1016/j.eneco.2017.01.023
  • Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611. https://doi.org/10.2307/2333709
  • Soytaş, U., & Sarı, R. (2003). Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Economics, 25, 33-37. https://doi.org/10.1016/S0140-9883(02)00009-9
  • Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15(1), 72–101. https://doi.org/10.2307/1422689
  • Statista (2022, 10 Ekim) Share of global gross domestic product from G-7 and G-20 countries in 2021 and projections for 2027. [Dataset] https://www.statista.com/statistics/722962/g20-share-of-global-gdp/
  • Stern, D. I. (2000). A multivariate cointegration analysis of the role of energy in the US macroeconomy. Energy economics, 22(2), 267-283. https://doi.org/10.1016/S0140-9883(99)00028-6
  • Stiglitz, J. E (1974). Growth with exhaustible natural resources: efficient and optimal growth paths. The Review of Economic Studies, 41, 123-138. https://doi.org/10.2307/2296377
  • Öztürk, İ. (2010). A literature survey on energy-growth nexus. Energy Policy, 38, 340-349. https://doi.org/10.1016/j.enpol.2009.09.024
  • Topcuoğlu, A., & Ayyıldız, F. V. (2020). E7 ülkelerinde kilit sektör analizi. MANAS Sosyal Araştırmalar Dergisi, 9(2), 822-833. https://doi.org/10.33206/mjss.573907
  • United Nations Conference On Trade And Development (2022,15 Eylül). Gross domestic product, total and per capita, current and constant prices, annual.[Dataset] https://unctadstat.unctad.org/wds/TableViewer/tableView.aspx
  • Yurtkuran, S. (2021). Enerji tüketimi, ekonomik büyüme ve lojistik arasındaki ilişki: Türkiye örneği. Fırat Üniversitesi Sosyal Bilimler Dergisi, 31(3), 1245-1260. https://doi.org/10.18069/firatsbed.875759
  • Zou, G., & Chau, K. W. (2006). Short-and long-run effects between oil consumption and economic growth in China. Energy policy, 34(18), 3644-3655. https://doi.org/10.1016/j.enpol.2005.08.009

PANEL KANTİL REGRESYON YAKLAŞIMIYLA G-7 ÜLKELERİNDE BİRİNCİL ENERJİ TÜKETİMİNİN İKTİSADİ BÜYÜMEYE ETKİSİ

Year 2023, Volume: 37 Issue: 1, 225 - 241, 29.03.2023
https://doi.org/10.48070/erciyesakademi.1224679

Abstract

Sanayi Devrimi sonrasında dünya çapında artan hammadde ihtiyacı yansımasını birincil enerji tüketimi boyutuyla göstermiştir. Bu durum birincil enerji tüketimin iktisadi faaliyetlerde önemli bir belirleyici olmasını sağlamıştır. Dolayısıyla, ülkelerin temel ortak hedeflerinden biri olan sürdürülebilir iktisadi büyüme ve kalkınmayı sağlamada iktisadi büyüme-birincil enerji tüketimi ilişkisinin sorgulanması ayrı bir öneme sahiptir. Bu bağlamda, bu çalışmanın amacı küresel sermayenin 2021 yılı itibariyle %30,7’sine sahip olan G-7 ülkeleri örnekleminde 1990-2021 döneminde birincil enerji tüketiminin iktisadi büyümeye etkisini ölçmektir. Amaç doğrultusunda panel kantil regresyon analizi yapılmıştır. Çalışmanın analiz kısmında sırasıyla Spearman sıralama korelasyon testi, Shapiro-Wilk W, Skewness/Kurtosis ve Jarque-Bera normallik sınamaları ve Hausman testi yapılmıştır. 10th-90th farklı kantil aralığında hesaplanan panel kantil regresyon modelleri arasında otokorelasyon ve değişen varyans sorunlarının olup olmadığına dair Durbin-Watson / Baltagi-Wu otokorelasyon testleri ve Breusch-Pagan / Cook-Weisberg değişen varyans testleri yapılmıştır. Farklı kantil modelleri arasında değişen varyans ve otokorelasyon sorunlarının olmasından ötürü bu sorunların çözümü için model robust (dirençli) standart hatalarla 50th kantil düzeyinde tahmin edilmiştir. Modelin panel kantil regresyon yaklaşımıyla robust (dirençli) standart hatalarla tahmini sonucunda %5 anlamlılık düzeyinde G-7 ülkelerinde 1990-2021 döneminde birincil enerji tüketiminde meydana gelen %1’lik bir artışın iktisadi büyümeyi yaklaşık olarak %2,29 oranında artırdığı bulgusuna ulaşılmıştır.

References

  • André, F., & Smulders, S. (2004, June). Energy use, endogenous technical change and economic growth. EAERE 13th Annual Conference [Oral presentation]. Budapeşte, Hungary.
  • Altıntaş, H. (2013). Türkiye’de birincil enerji tüketimi, karbondioksit emisyonu ve ekonomik büyüme ilişkisi: Eşbütünleşme ve nedensellik analizi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 8(1), 263- 294.
  • Apaydın, Ş., & Taşdoğan, C. (2019). Türkiye'de yenilenebilir ve birincil enerji talebinin büyüme üzerindeki uzun dönem etkileri. Üçüncü Sektör Sosyal Ekonomi Dergisi, 54(1), 431-445.https://doi.org/10.15659/3.sektor-sosyal-ekonomi.19.03.1109
  • Baltagi, B. H., & Wu, P. X. (1999) Unequally spaced panel data regressions with Ar(1) disturbances. Econometric Theory, 15(06), 814-823.
  • Bayar, Y. (2014). Türkiye’de birincil enerji kullanımı ve ekonomik büyüme. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 28(2), 253-269.
  • Bowden, N., & Payne, J. E. (2009). The causal relationship between US energy consumption and real output: A disaggregated analysis. Journal of Policy Modeling, 31(2), 180-188. https://doi.org/10.1016/j.jpolmod.2008.09.001
  • Bowden, N., & Payne, J. E. (2010). Sectoral analysis of the causal relationship between renewable and non- renewable energy consumption and real output in the US. Energy Sources, Part B: Economics, Planning, and Policy, 5(4), 400-408. https://doi.org/10.1080/15567240802534250
  • BP Statiscal Review of World Energy (2022,15 Ekim). BP Statiscal Review of World Energy 2017, 71st edition. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy- economics/statistical-review/bp-stats-review-2022-full-report.pdf
  • Breusch, T. S., & Pagan, A. R. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Cook, R. D., & Weisberg, S. (1983). Diagnostics for heteroscedasticity in regression. Biometrika, 70(1), 1-10. https://doi.org/10.1093/biomet/70.1.303
  • Dasgupta, P. S., & Heal, G. M. (1979). Economic theory and exhaustible resources. Cambridge University Press.
  • Durbin, J., & Watson, G.S. (1950) Testing for serial correlation in least squares regression: I. Biometrika, 37(3/4), 409-428. https://doi.org/10.2307/2332391
  • Durbin, J., & Watson, G. S. (1951) Testing for serial correlation in least squares regression: II. Biometrika, 38, 159- 177. https://doi.org/10.2307/2332325
  • Durbin, J., & Watson, G.S. (1971). Testing for serial correlation in least squares regression: III. Biometrika, 58, 1-19. https://doi.org/10.2307/2334313
  • Durrani, S. F., Jan, I., & Ahmad, M. (2021). Do primary energy consumption and economic growth drive each other in Pakistan? Implications for energy policy. Biophysical Economics and Sustainability, 6(3), 1-10. https://doi.org/10.1007/s41247-021-00090-x
  • Gezdim, S. B. (2017). Küresel CO2 emisyonunun belirleyicilerinin analizi: dinamik panel kantil regresyon modeli (Yayımlanmamış Doktora Tezi). Uludağ Üniversitesi Sosyal Bilimler Enstitüsü.
  • Georgescu-Roegen, N. (1971). The entropy law and economic process. Harvard University Press.
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 1251-1271. https://doi.org/10.2307/1913827
  • Jackson, R. B., Friedlingstein, P., Le Quéré, C., Abernethy, S., Andrew, R. M., Canadell, J. G., Ciasis P., Davis S. J., Deng Z., Liu Z., Korsbakken J. I., & Peters, G. P. (2022). Global fossil carbon emissions rebound near pre-covid-19 levels. Environmental Research Letters, 17(3), 031001. https://doi.org/10.1088/1748-9326/ac55b6
  • Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics letters, 6(3), 255-259. https://doi.org/10.1016/0165-1765(80)90024-5
  • Jarque, C. M., & Bera, A. K. (1987) A test for normality of observations and regression residuals. International Statistical Review/Revue Internationale de Statistique, 163-172. https://doi.org/10.2307/1403192
  • Jebli, M. B., & Youssef, S. B. (2015). Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries. Renewable energy, 83, 799-808. https://doi.org/10.1016/j.renene.2015.04.061
  • Kato, K., Galvao Jr, A. F., & Montes-Rojas, G. V. (2012). Asymptotics for panel quantile regression models with individual effects. Journal of Econometrics, 170(1), 76-91. https://doi.org/10.1016/j.jeconom.2012.02.007
  • Koç, E., & Kaya, K. (2015) Enerji kaynakları-yenilenebilir enerji durumu. Mühendis ve Makina, 56(668), 36-47.
  • Kraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 401-403. https://doi.org/10.1016/0140-9883(84)90015-X
  • Nguyen, H. M., & Ngoc, B. H. (2020). Energy consumption-economic growth nexus in Vietnam: an ARDL approach with a structural break. The Journal of Asian Finance, Economics, and Business, 7(1), 101-110. https://doi.org/10.13106/jafeb.2020.vol7.no1.101
  • Oh, W., & Lee, K. (2004). Causal relationship between energy consumption and GDP revisited: the case of Korea 1970–1999. Energy economics, 26(1), 51-59. https://doi.org/10.1016/S0140-9883(03)00030-6
  • Pata, U. K., Yurtkuran, S., & Kalça, A. (2016). Türkiye’de enerji tüketimi ve ekonomik büyüme: ARDL sınır testi yaklaşımı. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 38(2), 255-271. https://doi.org/10.14780/muiibd.281411
  • Payne, J. E. (2009). On the dynamics of energy consumption and output in the US. Applied Energy, 86, 575-577. https://doi.org/10.1016/j.apenergy.2008.07.003
  • Pearson, K. (1905). Skew variation, a rejoinder. Biometrika, 4(1-2), 169-212. https://doi.org/10.2307/2331536
  • Shahbaz, M., Van Hoang, T. H., Mahalik, M. K., & Roubaud, D. (2017). Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis. Energy Economics, 63, 199-212. https://doi.org/10.1016/j.eneco.2017.01.023
  • Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611. https://doi.org/10.2307/2333709
  • Soytaş, U., & Sarı, R. (2003). Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Economics, 25, 33-37. https://doi.org/10.1016/S0140-9883(02)00009-9
  • Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15(1), 72–101. https://doi.org/10.2307/1422689
  • Statista (2022, 10 Ekim) Share of global gross domestic product from G-7 and G-20 countries in 2021 and projections for 2027. [Dataset] https://www.statista.com/statistics/722962/g20-share-of-global-gdp/
  • Stern, D. I. (2000). A multivariate cointegration analysis of the role of energy in the US macroeconomy. Energy economics, 22(2), 267-283. https://doi.org/10.1016/S0140-9883(99)00028-6
  • Stiglitz, J. E (1974). Growth with exhaustible natural resources: efficient and optimal growth paths. The Review of Economic Studies, 41, 123-138. https://doi.org/10.2307/2296377
  • Öztürk, İ. (2010). A literature survey on energy-growth nexus. Energy Policy, 38, 340-349. https://doi.org/10.1016/j.enpol.2009.09.024
  • Topcuoğlu, A., & Ayyıldız, F. V. (2020). E7 ülkelerinde kilit sektör analizi. MANAS Sosyal Araştırmalar Dergisi, 9(2), 822-833. https://doi.org/10.33206/mjss.573907
  • United Nations Conference On Trade And Development (2022,15 Eylül). Gross domestic product, total and per capita, current and constant prices, annual.[Dataset] https://unctadstat.unctad.org/wds/TableViewer/tableView.aspx
  • Yurtkuran, S. (2021). Enerji tüketimi, ekonomik büyüme ve lojistik arasındaki ilişki: Türkiye örneği. Fırat Üniversitesi Sosyal Bilimler Dergisi, 31(3), 1245-1260. https://doi.org/10.18069/firatsbed.875759
  • Zou, G., & Chau, K. W. (2006). Short-and long-run effects between oil consumption and economic growth in China. Energy policy, 34(18), 3644-3655. https://doi.org/10.1016/j.enpol.2005.08.009
Year 2023, Volume: 37 Issue: 1, 225 - 241, 29.03.2023
https://doi.org/10.48070/erciyesakademi.1224679

Abstract

References

  • André, F., & Smulders, S. (2004, June). Energy use, endogenous technical change and economic growth. EAERE 13th Annual Conference [Oral presentation]. Budapeşte, Hungary.
  • Altıntaş, H. (2013). Türkiye’de birincil enerji tüketimi, karbondioksit emisyonu ve ekonomik büyüme ilişkisi: Eşbütünleşme ve nedensellik analizi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 8(1), 263- 294.
  • Apaydın, Ş., & Taşdoğan, C. (2019). Türkiye'de yenilenebilir ve birincil enerji talebinin büyüme üzerindeki uzun dönem etkileri. Üçüncü Sektör Sosyal Ekonomi Dergisi, 54(1), 431-445.https://doi.org/10.15659/3.sektor-sosyal-ekonomi.19.03.1109
  • Baltagi, B. H., & Wu, P. X. (1999) Unequally spaced panel data regressions with Ar(1) disturbances. Econometric Theory, 15(06), 814-823.
  • Bayar, Y. (2014). Türkiye’de birincil enerji kullanımı ve ekonomik büyüme. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 28(2), 253-269.
  • Bowden, N., & Payne, J. E. (2009). The causal relationship between US energy consumption and real output: A disaggregated analysis. Journal of Policy Modeling, 31(2), 180-188. https://doi.org/10.1016/j.jpolmod.2008.09.001
  • Bowden, N., & Payne, J. E. (2010). Sectoral analysis of the causal relationship between renewable and non- renewable energy consumption and real output in the US. Energy Sources, Part B: Economics, Planning, and Policy, 5(4), 400-408. https://doi.org/10.1080/15567240802534250
  • BP Statiscal Review of World Energy (2022,15 Ekim). BP Statiscal Review of World Energy 2017, 71st edition. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy- economics/statistical-review/bp-stats-review-2022-full-report.pdf
  • Breusch, T. S., & Pagan, A. R. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.
  • Cook, R. D., & Weisberg, S. (1983). Diagnostics for heteroscedasticity in regression. Biometrika, 70(1), 1-10. https://doi.org/10.1093/biomet/70.1.303
  • Dasgupta, P. S., & Heal, G. M. (1979). Economic theory and exhaustible resources. Cambridge University Press.
  • Durbin, J., & Watson, G.S. (1950) Testing for serial correlation in least squares regression: I. Biometrika, 37(3/4), 409-428. https://doi.org/10.2307/2332391
  • Durbin, J., & Watson, G. S. (1951) Testing for serial correlation in least squares regression: II. Biometrika, 38, 159- 177. https://doi.org/10.2307/2332325
  • Durbin, J., & Watson, G.S. (1971). Testing for serial correlation in least squares regression: III. Biometrika, 58, 1-19. https://doi.org/10.2307/2334313
  • Durrani, S. F., Jan, I., & Ahmad, M. (2021). Do primary energy consumption and economic growth drive each other in Pakistan? Implications for energy policy. Biophysical Economics and Sustainability, 6(3), 1-10. https://doi.org/10.1007/s41247-021-00090-x
  • Gezdim, S. B. (2017). Küresel CO2 emisyonunun belirleyicilerinin analizi: dinamik panel kantil regresyon modeli (Yayımlanmamış Doktora Tezi). Uludağ Üniversitesi Sosyal Bilimler Enstitüsü.
  • Georgescu-Roegen, N. (1971). The entropy law and economic process. Harvard University Press.
  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 1251-1271. https://doi.org/10.2307/1913827
  • Jackson, R. B., Friedlingstein, P., Le Quéré, C., Abernethy, S., Andrew, R. M., Canadell, J. G., Ciasis P., Davis S. J., Deng Z., Liu Z., Korsbakken J. I., & Peters, G. P. (2022). Global fossil carbon emissions rebound near pre-covid-19 levels. Environmental Research Letters, 17(3), 031001. https://doi.org/10.1088/1748-9326/ac55b6
  • Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics letters, 6(3), 255-259. https://doi.org/10.1016/0165-1765(80)90024-5
  • Jarque, C. M., & Bera, A. K. (1987) A test for normality of observations and regression residuals. International Statistical Review/Revue Internationale de Statistique, 163-172. https://doi.org/10.2307/1403192
  • Jebli, M. B., & Youssef, S. B. (2015). Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries. Renewable energy, 83, 799-808. https://doi.org/10.1016/j.renene.2015.04.061
  • Kato, K., Galvao Jr, A. F., & Montes-Rojas, G. V. (2012). Asymptotics for panel quantile regression models with individual effects. Journal of Econometrics, 170(1), 76-91. https://doi.org/10.1016/j.jeconom.2012.02.007
  • Koç, E., & Kaya, K. (2015) Enerji kaynakları-yenilenebilir enerji durumu. Mühendis ve Makina, 56(668), 36-47.
  • Kraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 401-403. https://doi.org/10.1016/0140-9883(84)90015-X
  • Nguyen, H. M., & Ngoc, B. H. (2020). Energy consumption-economic growth nexus in Vietnam: an ARDL approach with a structural break. The Journal of Asian Finance, Economics, and Business, 7(1), 101-110. https://doi.org/10.13106/jafeb.2020.vol7.no1.101
  • Oh, W., & Lee, K. (2004). Causal relationship between energy consumption and GDP revisited: the case of Korea 1970–1999. Energy economics, 26(1), 51-59. https://doi.org/10.1016/S0140-9883(03)00030-6
  • Pata, U. K., Yurtkuran, S., & Kalça, A. (2016). Türkiye’de enerji tüketimi ve ekonomik büyüme: ARDL sınır testi yaklaşımı. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 38(2), 255-271. https://doi.org/10.14780/muiibd.281411
  • Payne, J. E. (2009). On the dynamics of energy consumption and output in the US. Applied Energy, 86, 575-577. https://doi.org/10.1016/j.apenergy.2008.07.003
  • Pearson, K. (1905). Skew variation, a rejoinder. Biometrika, 4(1-2), 169-212. https://doi.org/10.2307/2331536
  • Shahbaz, M., Van Hoang, T. H., Mahalik, M. K., & Roubaud, D. (2017). Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis. Energy Economics, 63, 199-212. https://doi.org/10.1016/j.eneco.2017.01.023
  • Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611. https://doi.org/10.2307/2333709
  • Soytaş, U., & Sarı, R. (2003). Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Economics, 25, 33-37. https://doi.org/10.1016/S0140-9883(02)00009-9
  • Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15(1), 72–101. https://doi.org/10.2307/1422689
  • Statista (2022, 10 Ekim) Share of global gross domestic product from G-7 and G-20 countries in 2021 and projections for 2027. [Dataset] https://www.statista.com/statistics/722962/g20-share-of-global-gdp/
  • Stern, D. I. (2000). A multivariate cointegration analysis of the role of energy in the US macroeconomy. Energy economics, 22(2), 267-283. https://doi.org/10.1016/S0140-9883(99)00028-6
  • Stiglitz, J. E (1974). Growth with exhaustible natural resources: efficient and optimal growth paths. The Review of Economic Studies, 41, 123-138. https://doi.org/10.2307/2296377
  • Öztürk, İ. (2010). A literature survey on energy-growth nexus. Energy Policy, 38, 340-349. https://doi.org/10.1016/j.enpol.2009.09.024
  • Topcuoğlu, A., & Ayyıldız, F. V. (2020). E7 ülkelerinde kilit sektör analizi. MANAS Sosyal Araştırmalar Dergisi, 9(2), 822-833. https://doi.org/10.33206/mjss.573907
  • United Nations Conference On Trade And Development (2022,15 Eylül). Gross domestic product, total and per capita, current and constant prices, annual.[Dataset] https://unctadstat.unctad.org/wds/TableViewer/tableView.aspx
  • Yurtkuran, S. (2021). Enerji tüketimi, ekonomik büyüme ve lojistik arasındaki ilişki: Türkiye örneği. Fırat Üniversitesi Sosyal Bilimler Dergisi, 31(3), 1245-1260. https://doi.org/10.18069/firatsbed.875759
  • Zou, G., & Chau, K. W. (2006). Short-and long-run effects between oil consumption and economic growth in China. Energy policy, 34(18), 3644-3655. https://doi.org/10.1016/j.enpol.2005.08.009
Year 2023, Volume: 37 Issue: 1, 225 - 241, 29.03.2023
https://doi.org/10.48070/erciyesakademi.1224679

Abstract

References

  • André, F., & Smulders, S. (2004, June). Energy use, endogenous technical change and economic growth. EAERE 13th Annual Conference [Oral presentation]. Budapeşte, Hungary.
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There are 42 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Fatih Volkan Ayyıldız 0000-0001-5991-3574

Publication Date March 29, 2023
Submission Date December 26, 2022
Published in Issue Year 2023 Volume: 37 Issue: 1

Cite

APA Ayyıldız, F. V. (2023). PANEL KANTİL REGRESYON YAKLAŞIMIYLA G-7 ÜLKELERİNDE BİRİNCİL ENERJİ TÜKETİMİNİN İKTİSADİ BÜYÜMEYE ETKİSİ. Erciyes Akademi, 37(1), 225-241. https://doi.org/10.48070/erciyesakademi.1224679

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