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Abstract (2. Language): 
While natural resources endowment is a major production factor in the process of economic growth and development, it subjects the countries to an important problem such as nondevelopment when either resources are planlessly and extragavantly used or all other potansials are canalised into the field which is related to natural resources. Canalising all other potontials into natural resourse field sparks the curse of natural resourse hypothesis. This study investigates the effects of natural resources on economic growth in Eurasian Region by using Panel GMM method. Empirical findings which verify the curse of natural resources hypothesis were obtained.
Abstract (Original Language): 
Sahip olunan doğal kaynak donanımı büyüme ve kalkınma sürecinde önemli bir üretim faktörü iken bunun plansız ve bilinçsiz bir şekilde gerek aşırı kullanımı gerekse de diğer bütün imkânların tek bu faktörle ilgili alanlara aktarımı ülkeleri kalkınamama gibi önemli bir sorunla karşı karşıya getirmektedir. Kaynakların plansızca ve bilinçsizce kullanılması ve ekonominin dinamiğinin kaynak kullanımına bağlanması doğal kaynak laneti hipotezinin ortaya çıkmasını körüklemektedir. Bu çalışmada Panel GMM yöntemi kullanılarak Avrasya Bölgesinde doğal kaynakların ekonomik büyüme üzerindeki etkileri araştırılmıştır ve doğal kaynak laneti hipotezini destekleyen ampirik bulgular elde edilmiştir.



Anderson, T.W. and Hsiao, C. (1981). Estimation of dynamic models with error components, Journal of American Statistical Association, 76, 598–606.
Arellano, M. and Bond, S. (1991). Some tests of specification for panel data: monte carlo evidence and an application to employment equations, Review of Economic Studies, 58, 277–297.
Arellano, M. and Bover, O. (1995). Another look at the instrumental variable estimation of errorcomponent models, Journal of Econometrics, 68, 29–51.
Atkinson, G. and Hamilton, K. (2003). Savings, growth and the resource curse hypothesis, World Development, 31(11), 1793-1807.
Auty, R.M. (1990). Resource-Based Industrialization: Sowing the Oil in Eight Developing Countries, Oxford University Press, New York.
Baltagi, B. (2014). Econometric Analysis of Panel Data, Fifth Edition, Wiley, UK Cornwall.
Berge, K., Daniel, P., Evans, D., Kennan, J., Owens, T., Stevens, C. and Wood, A. (1994). Trade and development strategy options for the poorest countries: A prelimanary investigation, Institute of Development Studies Working Paper no: 12, December.
Butkiewicz J.L. and Yanikkaya, H. (2010). Minerals, institutions, openness, and growth: an empirical analysis, Land Economy, 86(2), 313–328.
Blundell, R. and Bond, S. (1998). Initial Conditions and moment restrictions in dynamic panel data models, Journal of Econometrics, 87, 115–143.
Gelb, A.H. (1988). Windfall gains: blessing or curse?, Oxford University Press, New York.
Gylfason, T. (2001a). Natural resources and economic growth : What is the connection?, Working Paper 530, Center for Economic Studies & Ifo Institute for Economic research.
Gylfason, T. (2001b). Natural resources, education and economic development, European Economic Review, 45, 847-859.
Gylfason, T. and Zoega, G. (2006). Natural resources and economic growth: the role of investment, The World Economy, 29, 1091–115.
Gylfason, T., Herbertsson, T.T. and Zoega, G. (1999). A mixed blessing: Natural resources and economic growth, Macroeconomic Dynamics, 3, 204-225.
Hamilton, K. (1995). Sustainable development, the hartwick rule and optimal growth, Environmental and Resource Economics, 5, 393–411.
Han, C. and Phillips, P.C.B. (2010). GMM Estimation for dynamic panels with fixed effects and strong insruments at unity, Yale University Cowles Foundation Working Paper, No: 1290.
Islam, T.M.T. (2013). Which system GMM to use? A Simulation exercise to identify the ideal estimator for data of different size, (25.06.2015).
Khadraoui, N. (2012). Financial development and economic growth: static and dynamic panel data analysis, International Journal of Economics and Finance, 4(5), 94-104
Krugman, P. (1987). The Narrow moving band, the dutch disease, and the competitive consequences of Mrs. Thatcher, Journal of Development Economics, 27, 41-55.
Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Ekim 2016; 9(4)
Larsen, R. E. (2006). Escaping the Resource Curse and the Dutch Disease? When and why Norway caught up with and forged ahead of its neigbors, American Journal of Economics and Sociology, Vol. 65, No. 3, pp. 605-640.
Levin, A., C. Lin and C. J. Chu. (2002). “Unit Root Tests in Panel Data: Asymptotic and Finite Sample Properties”. Journal of Econometrics, 108, 1–24.
Lederman, D. and Maloney, W. (2003). Trade structure and growth, Policy Research Paper 3025. Washington, DC: World Bank.
Prebisch, R., (1950). The economic development of latin America and its principal problems, Economic Bulletin for Latin America, 7, 1-12.
Romer, David. (2006). Advanced Macroeconomics. Third Edition, McGraw-Hill.
Sachs, J. D. and Warner, A. M. (1995). Natural resource abundance and economic growth, NBER Working Paper 5398, Cambridge, Massachusetts.
Sachs, J.D. and Warner, A.M. (1999). Natural resource intensity and economic growth, In: Mayer, J.,Chambers, B., Farooq, A. (Eds.), 1999. Development Policies in Natural Resource Economies. Edward Elgar, Cheltenham, UK, and Northampton, MA (Chapter 2).
Sala-I-Martin, X. and Subramanian, A. (2003). Addressing the natural resource curse: An illustration from Nigeria. IMF Working Paper WP/03/139.
Singer, H. (1950). The distribution of gains between ınvesting and borrowing countries, American Economic Review, Papers and Proceedings, 40, 473-485.
Soto, M. (2009). System GMM estimation with a small sample, Barcelona Economics Working Paper Series, No: 395.
Torres, N., Afonso, O. and Soares, I. (2012). Oil abundance and economic growth – A panel data analysis”, The Energy Journal, 33(2), 119-148.
WorldBank (2002). Treasure or trouble? mining in developing countries, Washington, D.C.

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