The impact of regional disparities on economic growth

• Autorzy: Gurgul H. , Lach Ł.
• Języki publikacji: EN

Abstrakty

EN

The authors investigated how economic growth affects the disparity in the distribution of regional income in Poland and vice versa. The research was based on annual data covering the period 2000-2009. In general, the research was divided into two main parts. First, the authors examined the evolution of the level of spatial inequalities in income in Poland over the last decade using the concepts of sigma and beta convergence. Next the nature of causal dependences was investigated between this inequality and economic growth. It was found that Polish regions did not converge with respect to the distribution of income as total GDP grew. The second part of the research provided evidence to claim that this inequality caused growth. Moreover, the evidence was also found that growth affected regional inequality. Finally, the authors noticed that the effects of both these factors were positive. The results suggest that as a consequence of rapid economic growth, some regions in Poland seized new opportunities, while less developed regions were unable to keep up with the challenging requirements of a decade of fast economic growth.

Słowa kluczowe

EN

regional inequalities; economic growth; sigma and beta convergence; Granger causality

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2011
• Tom: Vol. 21, No. 2
• Strony: 17--43
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Gurgul H.

autor

Lach Ł.

• AGH University of Science and Technology, Faculty of Management, Department of Applications of Mathematics in Economics, Gramatyka 10, 30-067 Kraków, Poland,

Bibliografia

• [1] ANDREWS D.W.K., BUCHINSKY M., A Three-Step Method for Choosing the Number of Bootstrap Repetitions, Econometrica, 2000, 68, 23–55.
• [2] BACHTLER J., DOWNES R., Regional policy in the transition countries: A comparative assessment, European Planning Studies, 1999, 7, 793–808.
• [3] BACHTLER J., DOWNES R., GORZELAK G., Transition, Cohesion and Regional Policy in Central and Eastern Europe, Aldershot, Ashgate Publishers, 2000.
• [4] BARRO R.J., SALA-I-MARTIN X.,Convergence across States and Provinces, Brookings Papers on Economic Activity, 1991, 1, 107–182.
• [5] BARRO R.J., SALA-I-MARTIN X., Convergence, Journal of Political Economy, 1992, 100, 407–443.
• [6] BELL L., FREEMAN R.B., The Incentive for Working Hard. Explaining Hours Worked Differences in the US and Germany, Labour Economics, 2001, 8, 181–202.
• [7] BIRD R.M., EBEL R.D., WALLICH C.I., Decentralization of the Socialist State, Intergovernmental Finance in Transition Economies, Washington, DC, World Bank Publications, 1995.
• [8] BUCEK M., Regional disparities in transition in the Slovak Republic, European Urban and Regional Studies, 1999, 6, 360–364.
• [9] DURLAUF S.N., JOHNSON P.A., Multiple regimes and cross-country growth behaviour, Journal of Applied Econometrics, 1995, 10, 365–384.
• [10] EPSTEIN G.S., SPIEGEL U., Natural Inequality, Production, and Economic Growth, Labour Economics, 2001, 8, 463–473.
• [11] EZCURRA R., PASCUAL P., RAPUN M., The dynamics of regional disparities in Central and Eastern Europe during Transition, European Planning Studies, 2007, 15, 1397–1421.
• [12] EZCURRA R., Does Income Polarization Affect Economic Growth? The Case of the European Provinces, Regional Studies, 2009, 43, 267–285.
• [13] FINGLETON B., FISCHER M.M., Neoclassical theory versus new economic geography. Competing explanations of cross-regional variation in economic development, Annals of Regional Science, 2010, 44, 467–491.
• [14] GORZELAK G., The Regional Dimension of Transformation in Central Europe, London, Regional Studies Association, 1996.
• [15] GRANGER C.W.J., HUANG L-L., Evaluation of Panel Data Models. Some Suggestions from Time Series, Discussion Paper 97–10, University of California, 1997.
• [16] GURGUL H., LACH Ł., The role of coal consumption in the economic growth of the Polish economy in transition, Energy Policy, 2011, 39, 2088–2099.
• [17] HACKER S.R., HATEMI-J A., Tests for causality between integrated variables using asymptotic and bootstrap distributions. Theory and application, Applied Economics, 2006, 38, 1489–1500.
• [18] HOROWITZ J.L., Bootstrap methods in econometrics. Theory and numerical performance, [in:] D.M. Kreps, K.F. Wallis (Eds.), Advances in Economics and Econometrics. Theory and Applications, Cambridge, Cambridge University Press, 1995, 188–232.
• [19] LÜTKEPOHL H., Introduction to Multiple Time Series Analysis (second Ed.), New York, Springer, 1993.
• [20] OATES W.E., Fiscal decentralization and economic development, National Tax Journal, 1993, 46, 237–243.
• [21] PÉREZ-MORENO S., An Assessment of the Causal Relationship between Growth and Inequality in Spanish Provinces, European Planning Studies, 2009, 17, 389–400.
• [22] PRUD’HOMME R., On the Dangers of Decentralization, Policy Research Working Paper 1252, Washington, DC, World Bank, 1995.
• [23] QUAH D.T., Empirical cross-section dynamics in economic growth, European Economic Review, 1993, 37, 426–434.
• [24] QUAH D.T., Empirics for economic growth and convergence, European Economic Review, 1996, 40, 1353–1375.
• [25] QUAH D.T., Twin peaks. Growth and convergence in models of distribution dynamics, The Economic Journal, 1996, 106, 1045–1055.
• [26] QUAH D.T., Empirics for growth and distribution. Stratification, polarization and convergence clubs, Journal of Economic Growth, 1997, 2, 27–59.
• [27] SIEBERT H., Commentary. Economic consequences of income inequality, Symposium of the Federal Reserve Bank of Kansas City on Income Inequality, Issues and Policy Options, 1998, 265–281.
• [28] WEINHOLD D., REIS E., Model evaluation and testing for causality in short panels. The case of infrastructure provision and population growth in the Brazilian Amazon, Journal of Regional Science, 2001, 41, 639–657.