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 paper studies the evolution of economic and social disparities across subnational regions in South America using simple spatial convergence models.
Through the lens of principal components, spatial dependence, and regionalization methods, the municipalities of Bolivia are endogenously classified according to their similarity in human capital constraints and geographical location.
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.