Spatial dependence across provinces plays an important role in the formation of convergence clubs. The performance of geographical neighbors affects the probability of club membership through spillovers in capital accumulation and structural change.
Divergence in learning outcomes is increasing over time. Institutional and learning spillovers are decisive for whether an EU Member State is on a high or low human capital trajectory.
This article studies the evolution of per-capita income disparities and spatial dependence across 77 provinces of Thailand over the period 1995–2017.
This study evaluates the regional convergence hypothesis at the provincial level during the recent deindustrialization period 2001–2017 of Indonesia.
Using a novel dataset, we analysis the spatio-temporal dynamics of income per capita across 34 provinces and 514 districts in Indonesia over the 2010–2017 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.