___

• 1. Asteriou, D. and Agiomirgianakis, G. M., “Human capital and economic growth: Time series evidence from Greece”, Journal of Policy Modeling, 23, 481-489, (2001).
• 2 Ang, J. B. “CO2 emissions, energy consumption, and output in France”, Energy Policy, 35(10), 4772-4778, (2007).
• 3 Ángel Tarancón, M. A., Del Río, P. “CO2 emissions and intersectoral linkages”, The case of Spain, Energy Policy, 35(2), 1100-1116, (2007)..
• 4. Chang, C. C., “A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China”, Applied Energy, 87(11), 3533-3537, (2010)..
• 5. Chen, B. and Feng, Y., “Determinants of economic growth in China: Private enterprise, education, and openness”, China Economic Review, 11, 1 -15, (2000).
• 6. European Environment Agency (EEA), Available at: http://www.eea.europa.eu/data-and-maps/data/data-viewers, (Accessed: (December, 2016).
• 7. Engle, R. F. and Granger C. W. J., “Contegration and error correction: representation, estimation and testing, Econometrica”, 55, 55-63, (1987).
• 8. Dickey, D. A., & Fuller, W. A., “Distribution of the estimators for autoregressive time series with a unit root”, Journal of the American statistical association, 74(366a), 427-431, (1979).
• 9. Galeotti, M. and Lanza A., “Richer and cleaner? A study on carbon dioxide emissions developing countries”, Energy Policy, 27(10), 565-573, (1999).
• 10. Giles, D. E. and Godwin, R. T., “Testing for multivariate cointegration in the presence of structural breaks: p-values and critical values”, Applied Economics Letters, 19, 1561-1565, (2012).
• 11. Glewwe, P. and Jacoby, H. G., “Economic growth and the demand for education: Is there a wealth effect? Journal of Development Economics, 74, 33-51, (2004).
• 12. Granger, C. W. J., “Causality cointegration, and control”, Journal of Economic Dynamics and Control, 12, 551-559, (1988).
• 13. Halicioglu, F., “An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey”, Energy Policy, 37, 1156-1164, (2009).
• 14. Heil, M. T. and Selden, T. M.,“ Panel stationarity with structural breaks: Carbon emissions and GDP”, Applied Economics Letters, 6(4), 223-225, (2010).
• 15 Hertwich, E.G. and Peter, G. P., “Carbon Footprint of Nations: A Global, Trade-Linked Analysis, Environ. Sci. Technol., 43 (16), 6414–6420, (2009).
• 16 Hossain, Md. S., “Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries”, Energy Policy, 39(11), 6991-6999, (2011).
• 17. Johansen, S. and Juselius, K.,“Maximum likelihood estimation and inference on cointegration with applications to the demand for money”, Oxford Bulletin of Economics and Statistics, 52, 169-210, (1990).
• 18. Juselis, K., The cointegrated VAR model, Oxford University Press, Oxford, (2006).
• 19. Kirchgassner, G. and Wolters, J., Introduction to Modern Time Series Analysis. Springer-Verlag, Berlin, (2012).
• 20. Kwiatkowski, D., Phillips, P. C., Schmidt, P., & Shin, Y., “Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root?” Journal of Econometrics, 54(1-3), 159-178, (1992).
• 21. Lin, T. C. (2003). Education, technical progress, and economic growth: the case of Taiwan, Economics of Education Review, 22, 213-220.
• 22. McMahon, W. W., “Education and growth in East Asia”, Economics of Education Review, 17(2), 169-172, (1997).
• 23. Meulemeester, D. J. L. and Rochat, D., “A causality analysis of the link between higher education and economic development”, Economics of Education Review, 14(4), 351-361, (1995).
• 24. Oketch, M. O., “Determinants of human capital formation and economic growth of African countries,” Economics of Education Review, 25, 554-564, (2006).
• 25. Pereira, J. and Aubuyn M. S., “What level of education matters most for growth? Evidence from Portugal”, Economics of Education Review, 28, 67-73, (2007).
• 26. Perron, P., “Further evidence on breaking trend functions in macroeconomic variables”, Journal of Econometrics, 80, 355-385, (1997).
• 27. Petrakis, P. E. and Stamatakis, D., “Growth and educational levels: a comparative analysis”, Economics of Education Review, 21, 513-521, (2002).
• 28 Peter, G. P., Weber, C.L., Guan, D., Hubacek, K., “China's Growing CO2 Emissions:A Race between Increasing Consumption and Efficiency Gains”, Environ. Sci. Technol., 41 (17), 5939–5944, (2007).
• 29. Phillips, P. C., & Perron, P., “Testing for a unit root in time series regression”, Biometrika, 335-346, (1988).
• 30. Sari, R. and Soytas, U., “Income and education in Turkey: A multivariate analysis”, Education Economics, 14(2), 181-196, (2006).
• 31. Self, S. and Grabowski, R., “Education and long-run development in Japan”, Journal of Asian Economics, 14, 565- 580, (2003).
• 32. Self, S. and Grabowski, R., “Does education at all levels cause growth? India, a case study”, Economics of Education Review, 23, 47-55, (2004).
• 33 Sharma, S. S., “Determinants of carbon dioxide emissions: Empirical evidence from 69 countries”, Applied Energy, 88(1), pp. 376-382, (2011).
• 34. Soytas, U. and Sari, R., “Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member”, Ecological Economics, 68(6), 1667-1675, (2009).
• 35. Tucker, M., “Carbon dioxide emissions and global GDP”, Ecological Economics, 15(3), 215-223, (1995).
• 36. Turkish Statistics Institute (TUIK), Available at: www.tuik.gov.tr (Accessed: December, 2016).
• 37. United Nations Framework Convention on Climate Change (UNFCCC), Available at: www.unfccc.int (Accessed: (December, 2016)).
• 38. World Bank Statistics Service (data resource). Available at: http://data.worldbank.org/ (Accessed: (December, 2016).
• 39. Zivot, E. and Andrews, D. W. K., “Further evidence on the great crash, the oil price shock, and the unit root hypothesis”, Journal of Business and Economic Statistics, 10, 251-270, (1992).