Optimal penalty and accounting policy

This study considers risky investment projects under adverse selection and examines optimal penalties for erroneous auditing reports to maximize social welfare. These penalties give firms an incentive to choose accounting policies that maximize social welfare. We characterize the optimal penalties such that efficient firms choose an aggressive accounting policy and inefficient firms choose a conservative accounting policy.     

Interregional Inequalities in Indonesia: A Sectoral Decomposition Analysis for 1975–92

In this paper we examine interregional income inequalities in Indonesia from 1975 to 1992, Williamson's weighted coefficient of variation is used to measure interregional income inequality. We also perform a sectoral decomposition analysis to investigate the extent to which industrial sectors contribute to the overall weighted coefficient of variation. One major finding is that, although interregional income inequality remained fairly stable in non-mining GDP during the study period, it has undergone a significant change in structure. The contribution of the tertiary sector to inequality, though still dominant, has gradually declined. The secondary sector, meanwhile, is playing an increasingly important role, reflecting its growing share of GDP. Inequality is much smaller in consumption expenditure than in non-mining GDP. Its consistently high levels in fixed capital formation reflect the uneven distribution of investments over space in Indonesia.     

Expenditure Inequality in Indonesia, 2008–2010: A Spatial Decomposition Analysis and the Role of Education

Based on the 2008–2010 Susenas panel data, this study examines expenditure inequality from spatial perspectives in Indonesia, using three decomposition methods: (i) a conventional Theil index decomposition; (ii) an alternative Theil index decomposition proposed by Elbers et al. (2008); and (iii) the Blinder?Oaxaca decomposition. Our results show that overall inequality in per capita expenditure increases between 2008 and 2010, which coincides with a rising trend in the official Gini coefficient. The contribution of inequality within urban and rural areas to total inequality is larger than that of inequality between urban and rural areas. Looking within urban and rural areas, urban inequality is significantly higher than rural inequality. Java‐Bali in particular records very high urban inequality. Overall, urban inequality increases, urban–rural inequality remains stable, rural inequality decreases, and inequality at the national level increases. Although urban–rural inequality has a relatively low share in overall inequality, the share is not small enough to ignore its impact. Furthermore, when using the alternative decomposition method, the contribution of urban–rural inequality increases substantially. The present study also found that educational differences appear to have played an important role in expenditure inequality within urban areas and between urban and rural areas.     

Spatial Patterns of Expenditure Inequalities in Indonesia: 1987, 1990 and 1993

This article investigates the contribution of inter-regional disparity to total national inequality in household expenditure, by decomposing national inequality into within- and between-province components. This is done by applying the Theil inequality decomposition technique to household expenditure data from the National Socio-Economic Survey. Whereas inter-provincial disparity accounted for 12–14% of total inequality among urban households and 7–8% among rural households, urban–rural disparity accounted for 22–24% of total national inequality. A Kuznets curve drawn according to the 1993 Susenas data indicates a peak inequality value of 0.27 (using Theil index T) when the share of urban households reaches 53.2%; this share is much larger than the actual 1993 urbanisation level of 32.1%. Further urbanisation is therefore likely to raise total inequality, even if other conditions remain stable.     

REGIONAL INCOME INEQUALITY IN INDONESIA AND THE INITIAL IMPACT OF THE ECONOMIC CRISIS

This paper estimates regional income inequality from 1993 to 1998, using a Theil index based upon district-level GDP and population data. Between 1993 and 1997, when Indonesia's annual average growth rate exceeded 7%, regional income inequality rose significantly. A two-stage nested inequality decomposition analysis indicates this was due mainly to an increase in within-province inequality, especially in Riau, Jakarta and West and East Java. In 1997, the within-province component represented about 50% of regional income inequality. The crisis caused per capita GDP growth to revert to its 1995 level, but the impact was spread unevenly across provinces and districts. In 1998 regional income inequality declined to its 1993-94 level. In contrast to 1993-97, three-quarters of the 1998 decline was due to a change in between-province inequality, with the Java-Bali region playing a prominent role. The crisis appears particularly to have afflicted urban Java and urban Sumatra.     

Structural Changes and Regional Income Inequality in Indonesia: A Bidimensional Decomposition Analysis*

Using the bidimensional decomposition method of a population‐weighted coefficient of variation, this paper analyzes the changes in the determinants of interprovincial income inequality associated with structural changes in Indonesia from 1983 to 2004. The method unifies two inequality decompositions by regional groups and gross regional product components (industrial sectors) and, therefore, enables us to assess the contributions of gross regional product components to within‐region and between‐region inequalities, as well as to overall inequality. As the share of mining has decreased, the spatial distribution of manufacturing has played a more important role in the inequality of Sumatra and Kalimantan, while the primacy of Jakarta, with strong urbanization economies, facilitated by globalization and trade and financial liberalization, has determined much of the Java–Bali region's inequality and, therefore, overall inequality in Indonesia.