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Abstrakty
The aim of our research is to examine how individual dimensions of globalization affect economic poverty in the World. For this, regression models are estimated with FGT0 or FGT1 poverty measures as dependent variables and KOF indices of globalization as dependent variables. The poverty indices are estimated for 119 countries' income distributions assuming log-normality and using Gini estimates from the WID2 database and GDP/capita from The World Bank database for the years 1990-2005. It has turned out that the "partial" impact of selected dimension of globalization on poverty is either linear or nonlinear, ceteris paribus. The nonlinear impact is of the U-shaped form or the inverted U-shaped form. Our results contradict some typical 'linear' findings when poverty measures are regressed only on one dimension of globalization. In other words, when some crucial dimensions of globalization are neglected in regression analysis the conclusions about impact of globalization on world poverty could be misleading. (original abstract)
Rocznik
Tom
Numer
Strony
7-14
Opis fizyczny
Twórcy
- Politechnika Gdańska
Bibliografia
- Dreher Gaston and Martens (2008) Measuring Globalization - Gauging its Consequence. New York: Springer.
- Foster J.E., Greer J., Thorbecke E. (1984) A Class of Decomposable Poverty Indices. Econometrica, 52, pp. 761-766.
- Kleiber Ch., Kotz S. (2003) Statistical Size Distribution in Economics and Actuarial Sciences, Hoboken NJ, Wiley-Interscience.
- Kot S.M., Adamkiewicz-Drwiłło H.G. (2013) Rekonstrukcja światowego rozkładu dochodów na podstawie minimalnej informacji statystycznej. Śląski Przegląd Statystyczny (w druku).
- Maddala G.S. (2008) Ekonometria, Warszawa, Wydawnictwo Naukowe PWN.
- Ravallion M. (2010) The Debate on Globalization, Poverty, and Inequality: why Measurement Matters [in:] Anand S., P. Segal, and J. Stiglitz (eds.) Debates on the Measurement of Global Poverty. Oxford, Oxford University Press.
- Sala-i-Martin X. (2006) The World Distribution of Income: Falling Poverty and Convergence Period, Quarterly Journal of Economics, 121 (2), pp. 351-397.
- World Development Indicators (2013) Washington DC, World Bank.
- WIID2 (2005) World Income Inequality Database. UNU-WIDER, Helsinki, May.
Typ dokumentu
Bibliografia
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bwmeta1.element.ekon-element-000171268803