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2023 | OriginalPaper | Buchkapitel

9. Roles of Education in Expenditure Inequality between Urban and Rural Areas: Indonesia, the Philippines, and India

verfasst von : Mitsuhiro Hayashi

Erschienen in: Industrial Location and Vitalization of Regional Economy

Verlag: Springer Nature Singapore

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Abstract

This study selects Indonesia, the Philippines, and India among Asian developing countries and, based on household survey data, examines the determinants of urban–rural disparities in per capita consumption expenditure in these three countries, with a focus on education, using the Blinder–Oaxaca decomposition method. In both Indonesia and India, inequality in per capita consumption expenditure, as measured by the Theil index, tended to expand during the observation period. In the Philippines, inequality in per capita expenditure improved over the period, although the level of inequality still remains high. The share of inequality between urban and rural areas is relatively lower than that of inequality within urban and rural areas, due to the use of the conventional Theil decomposition method. However, the gaps between urban and rural areas are not small enough for their impact to be ignored, when using Elbers’ alternative decomposition approach as a supplementary tool for the conventional Theil decomposition method. This study therefore attempts to decompose the differences in mean per capita consumption expenditure between urban and rural areas into several household features, including education, using the Blinder–Oaxaca decomposition method. As a result, in Indonesia, the Philippines, and India, differences in educational endowments appear to have been a key determinant of urban–rural disparity, accounting for approximately 30–60% of the urban–rural expenditure gap. In addition, differences in job sectors (agricultural sector vs non-agricultural sector) also contribute to the expenditure gap, albeit to a lesser extent.

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Fußnoten
1
Sampling weights are used for calculations to adjust overestimation or underestimation of sections of the population.
 
2
Cameron (2002) notes that the BPS official figures and most studies in the literature do not control for the regional cost of living differences when calculating inequality figures. According to this work, spatial differences in prices are considered in different official poverty lines used in urban and rural areas by province, although the urban poverty line tends to be inflated, relative to the rural poverty line.
 
3
The Philippine Statistics Authority (PSA) was established in 2013 by integrating the former National Statistics Office (NSO), the National Statistical Coordination Board, Bureau of Agricultural Statistics and Bureau of Labor and Employment Statistic.
 
4
As for the history, implementation method and problems of National Sample Survey, see Mukhopadhaya et al. (2011) and Tsujita (2006).
 
5
Poverty lines in 2011/12 were calculated using only Tendulkar methodology, while those in 1999/2000 were calculated using only Lakdawala methodology. However, poverty lines in 2004/05 were calculated using both methodologies. Therefore, based on poverty lines in 2011/12, those in 1999/2000 are adjusted by connecting both series in 2004/05. For details on poverty lines in India, see Planning Commission (2014).
 
6
For a comprehensive review of the Blinder–Oaxaca decomposition method and its applications, please see Jann (2008).
 
7
Elbers et al. (2008) propose an alternative measurement approach for the contribution of the between-group inequality component. The between-group component depends on the number of groups, the relative sizes of the groups, and the differences in mean per capita expenditures among the groups. Therefore, care should be taken when comparing decomposition results based on different spatial groupings (Shorrocks and Wan, 2005). Even when the same spatial grouping is used, decomposition results would not be comparable if the relative sizes of the groups are different. To rectify the problem, Elbers et al. (2008) suggest that between-group inequality should be assessed against the maximum between-group inequality attainable, given the number and relative sizes of the groups, rather than against the overall inequality that is used in the conventional approach for the contribution of the between-group inequality component.
 
8
Studies that associate inequality with household features, including education are, for example, ADB (2007, 2012), and OECD (2011).
 
9
The estimated urban–rural difference in mean per capita expenditure can also be decomposed into the three terms, as follows (threefold decomposition):
$$\begin{aligned} & \widehat{D} = \overline{Y}_{U} - \overline{Y}_{R} = {(}\overline{{\varvec{X}}}_{U} - \overline{{\varvec{X}}}_{R} {)}^{\prime } \hat{\user2{\beta }}_{R} + {\overline{{\varvec{X}}}_{R}}^{\prime } {(}\hat{\user2{\beta }}_{U} - \hat{\user2{\beta }}_{R} {)} + {(}\overline{{\varvec{X}}}_{U} - \overline{{\varvec{X}}}_{R} {)}^{\prime } {(}\hat{\user2{\beta }}_{U} - \hat{\user2{\beta }}_{R} {)}\;{\text{or}} \\ & \widehat{D} = \overline{Y}_{U} - \overline{Y}_{R} = {(}\overline{{\varvec{X}}}_{U} - \overline{{\varvec{X}}}_{R} {)}^{\prime } \hat{\user2{\beta }}_{U} + {\overline{{\varvec{X}}}_{U}}^{\prime } {(}\hat{\user2{\beta }}_{U} - \hat{\user2{\beta }}_{R} {)} + {(}\overline{{\varvec{X}}}_{U} - \overline{{\varvec{X}}}_{R} {)}^{\prime } {(}\hat{\user2{\beta }}_{U} - \hat{\user2{\beta }}_{R} {)} \\ \end{aligned}$$
The first term reflects the mean increase in rural households’ per capita expenditures if they had the same characteristics as urban households (endowments effect), while the second term represents the increase in rural households’ per capita expenditures when applying the urban households’ coefficients to the rural households’ characteristics. The third component is the interaction term. Differences in endowments as a whole account for 37% of the urban–rural expenditure gap, while differences in coefficients account for 39%, in 2008. As shown in the results, based on the twofold decomposition, differences in educational attainment and job type play an important role in the urban–rural expenditure gap. In the cases of the Philippines and India, similar results are obtained when using the threefold decomposition.
 
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Metadaten
Titel
Roles of Education in Expenditure Inequality between Urban and Rural Areas: Indonesia, the Philippines, and India
verfasst von
Mitsuhiro Hayashi
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-8128-9_9