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Urbanization and expenditure inequality in Indonesia: testing the Kuznets hypothesis with provincial panel data

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Abstract

Focusing on Indonesia, this study analyzes the relationship between inequality and the process of urbanization. It performs a panel data regression analysis to test the Kuznets inverted-U hypothesis for urbanization based on a provincial panel data set of 33 provinces over the period 2000–2009, constructed by using the core National Socio-economic Survey (core Susenas). Our results support the Kuznets inverted-U hypothesis, whether the Gini coefficient or the Theil indices are used as a measure of inequality. According to our estimates, expenditure inequality would reach the peak at an urbanization rate of around 46–50 %. Since the 2010 urbanization rate is 50 %, this indicates that expenditure inequality has already attained the peak value. Thus, further urbanization would decrease expenditure inequality, but all other things being equal.

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Notes

  1. For example, Ahluwaria (1976a, b), Knight and Sabot (1983), Saith (1983), Papanek and Kyn (1986), Campano and Salvatore (1988), Ram (1988, 1989, 1990), Anand and Kanbur (1993), Jha (1996), Deininger and Squire (1997, 1998), Matyas et al. (1998), De Gregorio and Lee (2002), Eastwood and Lipton (2004), Huang (2004), Frazer (2006) and Angeles (2010).

  2. Angeles (2010) also employed the share of employment outside agriculture as an explanatory variable rather than the share of urban population; but, the result did not support the Kuznets hypothesis either.

  3. It should be noted that a large part of urbanization in Indonesia is not due to internal migration, but due to urban sprawl, where rural areas are reclassified as urban areas.

  4. See, for example, Akita and Lukman (1999), Akita et al. (1999), Asra (2000), Skoufias (2001), Tadjoeddin et al. (2003), Cameron (2002), Akita and Miyata (2008), Leigh and van der Eng (2009), Nugraha and Lewis (2013) and Tadjoeddin (2013).

  5. It should be noted that expenditures are more equally distributed than incomes; thus, expenditure inequality tends to be smaller than income inequality. In a developing country like Indonesia, expenditure data are more reliable than income data (Akita et al. 1999).

  6. We can obtain a similar decomposition equation based on the Theil \(L\) index.

  7. In urban Yogyakarta, inequality due to educational differences is very large, accounting for more than 40 % of urban inequality, which is compared to 20 % in Jakarta.

  8. Central Java registers a relatively low expenditure inequality among Java provinces, owing to its small urban-rural disparity.

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Correspondence to Takahiro Akita.

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An earlier version of the paper was presented at the 23rd Pacific Conference of the Regional Science Association International in Bandung, Indonesia in July 2013. The authors would like to thank participants of the session on Poverty, Inequality and Inter-regional Disparity and two anonymous referees for their useful comments and suggestions. Takahiro Akita is grateful to the Japan Society for the Promotion of Science for its financial support (Grant-in-Aid for Scientific Research No. 24530274).

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Sagala, P., Akita, T. & Yusuf, A.A. Urbanization and expenditure inequality in Indonesia: testing the Kuznets hypothesis with provincial panel data. Lett Spat Resour Sci 7, 133–147 (2014). https://doi.org/10.1007/s12076-013-0106-7

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