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Dynamics of Spatial Inequality and Poverty: Evidence from Two Decades of Surveys in Vietnam, 1993-2014

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  • Takahiro Yamada

    (Faculty of Economics, Keio University)

Abstract

This paper verifies the dynamics of spatial inequality and poverty, notably for the bottom 40 percent of the population in Vietnam, during the period of 1993-2014. According to Theil T and Blinder-Oaxaca decompositions, expenditure inequalities of urban-rural and between regions were diverging from 1993 to 2004 along with the urban concentration on economic growth, but they were converging from 2004 to 2014 partly backed by the substantial increase of domestic remittances. Meanwhile, inequalities within areas and regions were continuously diverging from 1993 to 2014, which are likely to reflect the difference in main covariates. The urban-rural expenditure gap is mainly explained by years of education, job sector, and ethnic minority status of the household head, and remittances over the duration. For the determinants of poverty of the bottom 40 percent of the population, years of education, service sector job and remittances, among others, largely and positively explained the dynamics based on the quantile regression estimation results. Ethnic minorities have been still left behind from the benefits of economic growth relative to the majority Kinh–remaining space for policy intervention.

Suggested Citation

  • Takahiro Yamada, 2018. "Dynamics of Spatial Inequality and Poverty: Evidence from Two Decades of Surveys in Vietnam, 1993-2014," Economics Bulletin, AccessEcon, vol. 38(1), pages 404-418.
  • Handle: RePEc:ebl:ecbull:eb-17-00838
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    1. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    4. Richard Blundell & Ian Preston, 1998. "Consumption Inequality and Income Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 603-640.
    5. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    6. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    7. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    8. Huong Thu Le & Alison L. Booth, 2014. "Inequality in Vietnamese Urban–Rural Living Standards, 1993–2006," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 862-886, December.
    9. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    10. Nguyen, Binh T. & Albrecht, James W. & Vroman, Susan B. & Westbrook, M. Daniel, 2007. "A quantile regression decomposition of urban-rural inequality in Vietnam," Journal of Development Economics, Elsevier, vol. 83(2), pages 466-490, July.
    11. Paxson, Christina H, 1993. "Consumption and Income Seasonality in Thailand," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 39-72, February.
    12. Eric Fesselmeyer & Kien T. Le, 2010. "Urban‐biased Policies and the Increasing Rural–Urban Expenditure Gap in Vietnam in the 1990s," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 161-178, June.
    13. Jonathan Haughton & Shahidur R. Khandker, 2009. "Handbook on Poverty and Inequality," World Bank Publications - Books, The World Bank Group, number 11985.
    14. Chaudhuri, S. & Paxson, C., 1993. "Consumption Smoothing and Income Seasonality in Rural India," Papers 173, Princeton, Woodrow Wilson School - Development Studies.
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    2. Jorge Garza-Rodriguez & Gustavo A. Ayala-Diaz & Gerardo G. Coronado-Saucedo & Eugenio G. Garza-Garza & Oscar Ovando-Martinez, 2021. "Determinants of Poverty in Mexico: A Quantile Regression Analysis," Economies, MDPI, vol. 9(2), pages 1-24, April.

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    More about this item

    Keywords

    Expenditure Distribution; Living Standards; Patterns of Development; Regional Inequality; Urban-Rural Inequality; Theil Decomposition; Blinder-Oaxaca Decomposition; Quantile Regression; Vietnam;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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