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Sustainability Of Economic Growth And Inequality In Incomes Distribution

Author

Listed:
  • Burz Razvan

    (West University of Timisoara, Faculty of Economics and Business Administration)

  • Bogdan Ion Boldea

    (West University of Timisoara, Faculty of Economics and Business Administration)

Abstract

The problem of inequality in incomes distribution is a present one, much discussed. Economic growth is considered an essential force to reduce the level of poverty by increasing the labor demand and finally the wages within the economy. But the extent to which poverty is reduced as a result of economic growth depends mostly on the initial inequalities in income and on how the distribution of income changes with economic growth. A lot of researches are focused on studying the evolution of inequality in incomes distribution and others have attempted to explore the relationship between income inequality and economic growth. There are also studies which try to identify the main factors which have impact on inequality in incomes distribution. The objective of this study is to put in discussion another possible factor that affects the variability on inequality of incomes distribution -economic growth variability. As background research, until now, we did not find any studies which are investigating this possible relation between inequality of incomes distribution and economic growth variability. To provide some empirical evidences for a positive impact of social output volatility on inequality of incomesâ€(tm) distribution we are involving a small sample of 27 developing countries for an observation time span between 1995 and 2006. The values of the Gini coefficient reported in World Income Inequality Database are used as dependent variable. As a first step in testing our research hypothesis, we are involving a static panel data model with pooled ordinary least squares (OLS), fixed effects (FE) and random effects (RE) estimators. The F statistics tests the null hypothesis of same specific effects for all countries. If we accept the null hypothesis, we could use the OLS estimator. The Hausman test can decide which model is better: random effects (RE) versus fixed effects (FE). The FE model was selected because it avoids the inconsistency due to correlation between the explanatory variables and the country-specific effects. For a robustness assessment, we also apply the so-called GMM-System estimation. According to our results, an increase in the volatility of the social output (a decrease in the sustainability of the growth processes) leads to a greater inequality in incomes distribution. Such outcome appears to be robust to the changes in estimation methodology

Suggested Citation

  • Burz Razvan & Bogdan Ion Boldea, 2012. "Sustainability Of Economic Growth And Inequality In Incomes Distribution," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 249-254, July.
  • Handle: RePEc:ora:journl:v:1:y:2012:i:1:p:249-254
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    References listed on IDEAS

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    1. Amina Tabassum & M. Tariq Majeed, 2008. "Economic Growth and Income Inequality Relationship: Role of Credit Market Imperfection," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 727-743.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    4. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    5. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    Cited by:

    1. Milos Marius Cristian, 2012. "Demographic Dynamics And Sustainability Of Public Pension Expenditures Within European Union-15 Member States," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 171-174, December.
    2. Magdalena Ziolo & Krzysztof Kluza & Anna Spoz, 2019. "Impact of Sustainable Financial and Economic Development on Greenhouse Gas Emission in the Developed and Converging Economies," Energies, MDPI, vol. 12(23), pages 1-30, November.

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    More about this item

    Keywords

    inequality; inequality in incomes distribution; inequality factors; economic growth; economic growth volatility;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

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