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The roles of education in expenditure inequality in Bhutan: an analysis in an urban–rural context

  • Dorji Lethro
  • Takahiro AkitaEmail author
Article
  • 7 Downloads

Abstract

Based on the 2007 and 2012 Bhutan living standard survey, this study analyzes the roles of education in expenditure inequality in Bhutan in an urban–rural context. Expenditure inequality is high among SAARC countries. Since urban–rural disparity is not large, much of expenditure inequality is due to inequalities within urban and rural areas, particularly within urban areas. Unless inequalities within urban and rural areas are reduced, therefore, overall expenditure inequality would not decrease. The expansion of higher education seems to have increased expenditure inequality among households with higher education, particularly in urban areas. Together with a rise in expenditure disparity among educational groups, this has raised overall expenditure inequality. In rural areas, the government needs to promote basic education, while developing basic infrastructures and creating urban opportunities to mitigate rural–urban migration. In urban areas, the government needs to strengthen industrial infrastructure and promote labor-intensive manufacturing activities to generate employment opportunities.

Keywords

Education Decomposition of educational Gini Blinder–Oaxaca decomposition Hierarchical decomposition of expenditure inequality Bhutan 

JEL Classification

I24 I25 O15 O18 

Notes

Acknowledgements

Takahiro Akita is grateful to the Japan Society for the Promotion of Science for its financial support (Grant-in-Aid for Scientific Research 15K03458, 15K03473 and 18K01589). The authors thank two anonymous reviewers for their helpful comments.

References

  1. Abdullah A, Doucouliagos H, Manning E (2015) Does education reduce income inequality? A meta-regression analysis. J Econ Surv 29(2):301–316Google Scholar
  2. Ahituv A, Lerman RI (2007) How do marital status, work effort, and wage rates interact? Demography 44(3):623–647Google Scholar
  3. Akita T, Miyata S (2013) The roles of location and education in the distribution of economic well-being in Indonesia: hierarchical and non-hierarchical inequality decomposition analyses. Lett Spat Resour Sci 6(3):137–150Google Scholar
  4. Akita T, Lukman RA, Yamada Y (1999) Inequality in the distribution of household expenditures in Indonesia: a Theil decomposition analysis. Dev Econ 37(2):197–221Google Scholar
  5. Alkire S, Foster JE (2011) Counting and multidimensional poverty measurement. J Public Econ 95(7–8):476–487Google Scholar
  6. Anand S (1983) Inequality and poverty in Malaysia: measurement and decomposition. Oxford University Press, New YorkGoogle Scholar
  7. Blau FD, Kahn LM (2017) The gender wage gap: extent, trends, and explanations. J Econ Lit 55(3):789–865Google Scholar
  8. Blinder AS (1973) Wage discrimination: reduced form and structural estimates. J Hum Resour 8(4):436–455Google Scholar
  9. Bourguignon F (1979) Decomposable income inequality measures. Econometrica 47(4):901–920Google Scholar
  10. Chu HY (2000) The impacts of educational expansion and schooling inequality on income distribution. Q J Bus Econ 39(2):39–49Google Scholar
  11. Dagum C (1997) A new approach to the decomposition of the Gini income inequality ratio. Empir Econ 22:515–531Google Scholar
  12. De Gregorio J, Lee JW (2002) Education and income inequality: new evidence from cross-country data. Rev Income Wealth 48(3):395–416Google Scholar
  13. Estudillo JP (1997) Income inequality in the Philippines, 1961–91. Dev Econ 35(1):68–95Google Scholar
  14. Haughton J, Khandker SR (2009) Handbook on poverty and inequality. World Bank, WashingtonGoogle Scholar
  15. Knight JB, Sabot RH (1983) Educational expansion and the Kuznets effect. Am Econ Rev 73(5):1132–1136Google Scholar
  16. Lambert PJ, Aronson JR (1993) Inequality decomposition analysis and the Gini coefficient revisited. Econ J 103:1221–1227Google Scholar
  17. Lin CHA (2006) Educational expansion, educational inequality, and income inequality: evidence from Taiwan, 1976–2003. Soc Indic Res 80:601–615Google Scholar
  18. Mincer J (1958) Investment in human capital and personal income distribution. J Polit Econ 66(4):281–302Google Scholar
  19. National Statistics Bureau (NSB) (2003) Poverty analysis report 2003. Royal Government of Bhutan, ThimphuGoogle Scholar
  20. National Statistics Bureau (NSB) (2007) Second Bhutan living standard survey (BLSS). Royal Government of Bhutan, ThimphuGoogle Scholar
  21. National Statistics Bureau (NSB) (2012a) Poverty analysis report 2012. Royal Government of Bhutan, ThimphuGoogle Scholar
  22. National Statistics Bureau (NSB) (2012b) Third Bhutan living standard survey (BLSS). Royal Government of Bhutan, ThimphuGoogle Scholar
  23. Neumark D (1988) Employers’ discriminatory behavior and the estimation of wage discrimination. J Hum Resour 23(3):279–295Google Scholar
  24. Nidup J, Feeny S, de Silva A (2018) Improving well-being in Bhutan: a pursuit of happiness. Soc Indic Res 140(1):79–100Google Scholar
  25. Oaxaca R (1973) Male–female wage differentials in urban labor markets. Int Econ Rev 14(3):693–709Google Scholar
  26. Park KH (1996) Educational expansion and educational inequality on income distribution. Econ Educ Rev 15(1):51–58Google Scholar
  27. Pieters J (2011) Education and household inequality change: a decomposition analysis for India. J Dev Stud 47(12):1909–1924Google Scholar
  28. Ram R (1989) Can educational expansion reduce income inequality in less-developed countries? Econ Educ Rev 8(2):185–195Google Scholar
  29. Ram R (1990) Educational expansion and schooling inequality: international evidence and some implications. Rev Econ Stat 72(2):266–274Google Scholar
  30. Rao VVB, Banerjeel DS, Mukhopadhaya P (2003) Earnings inequality in Singapore. J Asia Pac Econ 8(2):210–228Google Scholar
  31. Santos ME (2013) Tracking poverty reduction in Bhutan: income deprivation alongside deprivation in other sources of happiness. Soc Indic Res 112:259–290Google Scholar
  32. Shorrocks A (1980) The class of additively decomposable inequality measures. Econometrica 48(3):613–625Google Scholar
  33. Tang KK, Petrie D (2009) Non-hierarchical bivariate decomposition of Theil indexes. Econ Bull 29(2):927–928Google Scholar
  34. Tenzin G, Otsuka K, Natsuda K (2015) Can social capital reduce poverty? A study of rural households in eastern Bhutan. Asian Econ J 29(3):243–264Google Scholar
  35. Tsakloglou P (1993) Aspects of inequality in Greece: measurement, decomposition and intertemporal change, 1974, 1982. J Dev Econ 40(1):53–74Google Scholar
  36. World Bank (2018) World development indicators. World Bank, WashingtonGoogle Scholar
  37. Zaman KAU, Akita T (2012) Spatial dimensions of income inequality and poverty in Bangladesh: an analysis of the 2005 and 2010 household income and expenditure survey data. Bangladesh Dev Stud 35(3):19–51Google Scholar

Copyright information

© The Japan Section of the Regional Science Association International 2019

Authors and Affiliations

  1. 1.National Statistics Bureau, Royal Government of BhutanThimphuBhutan
  2. 2.Graduate School of BusinessRikkyo UniversityToshimaJapan

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