This article aims to re-examine the regional convergence hypothesis on income in Indonesia over the 2000–2017 period. By applying a non-linear dynamic factor model, this article tests the club convergence hypothesis using a novel dataset of income at the district level. The results show significant five convergence clubs in Indonesian districts’ income dynamics, implying the persistence of income disparity problems across districts even after implementing the decentralization policy. The subsequent analysis reveals two appealing features regarding the convergence clubs. First, districts belonging to the same province tend to be in the same club, and second, districts with specific characteristics (i.e. big cities or natural resources-rich regions) dominate the highest income club. Overall, our findings suggest some insightful policy implications, including the importance of differentiated development policies across convergence clubs and inter-provincial development strategies.

Satellite nighttime light data are increasingly used for evaluating the performance of economies in which official statics are non‐existent, limited, or non‐comparable. In this paper, we use a novel luminosity‐based measure of GDP per capita to study regional convergence and spatial dependence across 274 subnational regions of the Association of South East Asian Nations (ASEAN) over the 1998‐2012 period. Specifically, we first evaluate the usefulness of this new luminosity indicator in the context of ASEAN regions. Results show that almost 60 percent of the differences in (official) GDP per capita can be predicted by this luminosity‐based measure of GDP. Next, given its potential usefulness for predicting regional GDP, we evaluate the spatio‐temporal dynamics of regional inequality across ASEAN. Results indicate that although there is an overall (average) process of regional convergence, regional inequality within most countries has not significantly decreased. When evaluating the patterns of spatial dependence, we find increasing spatial dependence over time and stable spatial clusters (hotspots and coldspots) that are located across multiple national boundaries. Taken together, these results provide a new and more disaggregated perspective of the integration process of the ASEAN community.