Regional income convergence in Colombia: population, space, and long-run dynamics

We examine the trajectory of regional income dynamics in Colombia. Using data on all 33 Colombian departments from 2000 to 2016, we employ extensions of (spatial) Markov chains, space-time mobility measures, along with a fully weighted version of the distribution analysis approach. By considering these extensions, our analysis enables us to answer questions such as whether the role of spatial context influences the distributional dynamics of Colombian departments, or the magnitude of the moderating effect of department’s population. The inclusion of additional measures such as the asymptotic half-life of convergence provides additional results, informing on how long it would take to reach the hypothetical long-run distribution of per capita income. Results, which are reported for both pre- and post-2008 trends, complement previous literature on regional economic convergence in a relevant South American context, showing stronger convergence patterns when controlling for the population living in each department. The patterns do not particularly intensify when controlling for spatial spillovers, since the role of spatial context was already playing a relevant role from the beginning of the period analyzed. Therefore, although the ergodic distributions show a conditional-convergence pattern, addressing the problems of spatial exclusion fully, persistent polarization among geographical departments and populations, along with the relevant core-periphery gaps, still requires the design and implementation of specific policies.Funding for open access charge: CRUE-Universitat Jaume IWe are grateful to the Editor, four anonymous referees and the participants at the XLV International Conference on Regional Science/Reunión de Estudios Regionales (Castelló de la Plana, Spain, 2019) for helpful comments and suggestions. We acknowledge the financial support of the Ministerio de Ciencia e Innovación (PID2020-115450GB-I00 and PID2020-115135GB-I00 by MCIN/AEI/10.13039/501100011033). Emili Tortosa-Ausina also acknowledges the financial support of Generalitat Valenciana (PROMETEO/2018/102) and Universitat Jaume I (UJI-B2020-27)