Cilt 8 Sayı 3 (2020): Business & Management Studies: An International Journal
Makaleler

FİNANSAL KUZNETS EĞRİSİ, KÜRESELLEŞME VE GELİR DAĞILIMI: ÜÇ PARÇALI İLİŞKİNİN ÖĞELERİ

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  • Onur ÖZDEMİR
Onur ÖZDEMİR
Dr. Öğr. Üyesi, İstanbul Gelişim Üniversitesi
DOI: https://doi.org/10.15295/bmij.v8i3.1570

Yayınlanmış 2020-09-25

Anahtar Kelimeler

  • Labor Share of Income, Financial Kuznets Hypothesis, Financial Sector Development, Economic Globalization
  • Emek Gelir Payı, Finansal Kuznets Hipotezi, Finansal Sektör Gelişmesi, Ekonomik Küreselleşme

Nasıl Atıf Yapılır

ÖZDEMİR, O. (2020). FİNANSAL KUZNETS EĞRİSİ, KÜRESELLEŞME VE GELİR DAĞILIMI: ÜÇ PARÇALI İLİŞKİNİN ÖĞELERİ. Business & Management Studies: An International Journal, 8(3), 2868–2892. https://doi.org/10.15295/bmij.v8i3.1570

Özet

Bu çalışma, 1980-2017 döneminde OECD ülkeleri için fonksiyonel gelir dağılımı ve ekonomik küreselleşme açısından Finansal Kuznets hipotezinin ampirik geçerliliğini tekrar araştırmaktadır. Bu çerçevede mevcut çalışma, ampirik tahminlerinin, panel sabit etkiler ve sistem-GMM yaklaşımlarını Finansal Kuznets hipotezinin geleneksel varsayımları ile uyum içinde olduğunu göstermek adına uygulamaktadır. Fonksiyonel gelir dağılımı perspektifinden yola çıkarak ampirik bulgular emek ve sermaye arasındaki gelir farkını azaltmada finansal sektör gelişiminin önemine dikkat çekmektedir. Ayrıca çalışma eşit olmayan gelir dağılımını artırmada ekonomik küreselleşme dinamikleri ile ilgili yeni kanıtlar sunmaktadır. Son olarak, ampirik bulgular herhangi bir ekonomik birim finans sektörü gelişimini sağlamadan sınırlarını açarsa emeğin ulusal gelirden elde ettiği payın zaman içerisinde sermaye lehine daralacağını göstermektedir.

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Referanslar

  1. Aizenman, J., Jinjarak, Y., and Park, D. (2015). Financial development and output growth in developing Asia and Latin America: A comparative sectoral analysis. NBER Working Paper 20917, National Bureau of Economic Research, Cambridge, Massachusetts.
  2. Arellano, M. and Bond, S. R. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58, 277-297.
  3. Arellano, M. and Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68, 29-51.
  4. Banerjee, A. V. and Newman, A. F. (1993). Occupational choice and the process of development. Journal of Political Economy, 101, 274-298.
  5. Blundell, R. and Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115-143.
  6. Bumann, S. and Lensink, R. (2016). Capital account liberalisation and income inequality. Journal of International Money and Finance, 61, 143-162.
  7. Chinn, M. D. and Ito, H. (2006). What matters for financial development? Capital controls, institutions, and interactions. Journal of Development Economics, 81, 163-192.
  8. Čihák, M., Demirgüç-Kunt, A., Feyen, E., and Levine, R. (2012). Benchmarking financial development around the world. World Bank Policy Research Working Paper 6175, World Bank, Washington, DC.
  9. de Haan, J. and Sturm, J.-E. (2017). Finance and income inequality: A review and new evidence. European Journal of Political Economy, 50, 171-195.
  10. de Haan, J., Pleninger, R., and Sturm, J.-E. (2018). Does the impact of financial liberalisation on income inequality depend on financial development? Some new evidence. Applied Economic Letters, 25, 313-316.
  11. Driscoll, J. C. and Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics, 80, 549-560.
  12. Feenstra, R. C., Inklaar, R., and Timmer, M. P. (2015). The next generation of the Penn World Table. American Economic Review, 105, 3150-3182.
  13. Galor, O. and Zeira, J. (1993). Income distribution and macroeconomics. Review of Economic Studies, 60, 35-52.
  14. Gollin, D. (2002). Getting income shares right. Journal of Political Economy, 110, 458-474.
  15. Greenwood, J. and Jovanovic, B. (1990). Financial development, growth, and the distribution of income. Journal of Political Economy, 98, 1076-1107.
  16. Gygli, S., Haelg, F., Potrafke, N., and Sturm, J-E. (2019). The KOF globalisation index – revisited. The Review of International Organizations, 14, 543-574.
  17. Hansen, L. P. (1982). Large sample properties of generalised method of moments estimators. Econometrica, 50, 1029-1054.
  18. Jauch, S. and Watzka, S. (2016). Financial development and income inequality: A panel data approach. Empirical Economics, 51, 291-314.
  19. Jaumotte, F., Lall, S., and Papageorgiou, C. (2008). Rising income inequality: Technology, or trade and financial globalisation? IMF Working Paper 08/185, International Monetary Fund.
  20. Jayadev, A. (2007). Capital account openness and the labor share of income. Cambridge Journal of Economics, 31, 423-443.
  21. Kappel, V. (2010). The effects of financial development on income inequality and poverty. CER-ETH Economics Working Paper Series 10/127, CER-ETH Center of Economic Research (CER-ETH) at ETH Zurich.
  22. Krueger, A. (1999). Measuring labor’s share. American Economic Review, 89, 45-51.
  23. Nikoloski, Z. (2012). Financial sector development and inequality: Is there a financial Kuznets curve? Journal of International Development, 25, 897-911.
  24. Rajan, R. G. (2010). Fault lines. Princeton: Princeton University Press.
  25. Roodman, D. (2006). How to do xtabond2: an introduction to “difference” and “system” GMM in Stata. Center for Global Development, Working Paper Number 103, December.
  26. Svirydzenka, K. (2016). Introducing a new broad-based index of financial development. IMF Working Paper 16/5, International Monetary Fund.
  27. Tan, H. B. and Law, S. H. (2012). Nonlinear dynamics of the finance-inequality nexus in developing countries. Journal of Economic Inequality, 10, 551-563.
  28. Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126, 25-51.