Doctorado en Economía (tesis)
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Ítem Essays in Development Economics: Spatial data for exploring development patterns(Universidad EAFIT, 2024) Sánchez Saldarriaga, Andrés Felipe; Muñoz Mora, Juan Carlos; Acosta Mejía, Camilo AndrésÍtem Essays on Financial Fragility and Credit Markets(Universidad EAFIT, 2023) Cruz Castañeda, Vivian; Restrepo Tobón, Diego AlexanderÍtem Hedging price and volumetric risk in the electricity market(Universidad EAFIT, 2023) Sánchez-González, Jim; Pantoja Robayo, Javier Orlando; Vera Lizcano, Juan CarlosÍtem Essays on firm performance in developing countries(Universidad EAFIT, 2023) Cárdenas Echeverri, Fernando; Chaparro, Juan Camilo; Herrera, HernánÍtem Strategic behaviors, pass-through, and the impact of new renewable energy on wholesale cost and retail price in electricity markets : a case study for Colombia(Universidad EAFIT, 2023) Correa Giraldo, Manuel Salvador; García Rendón, John JairoÍtem Ensayos sobre política macroprudencial y riesgo sistémico(Universidad EAFIT, 2023) Rendón González, Nataly; Botero García, Jesús Alonso; Parra Polanía, JuliánÍtem Essays on Macroeconomic Stability and Macroeconomic Policies(Universidad EAFIT, 2022) Villca Condori, Alfredo; Torres García, AlejandroÍtem “Performance of strategic sectors : a view from industrial organization theory”(Universidad EAFIT, 2021) Molina Osorio, Alejandra; García Rendón, John JairoÍtem The role of regions in economic growth(Universidad EAFIT, 2021) Restrepo Montoya, Daniel Eduardo; Duque Cardona, Juan CarlosIn this paper, we propose a new method to develop multiscalar industrial policies based on a spatially constrained clustering problem, the 𝑝-innovation ecosystems (𝑝-IE) model, that combines aspects of complexity, relatedness, and geography. Our formulation is motivated by recent developments of economic complexity regarding the evolution of economic output through key interactions among industries within economic regions. The objective of this model is to aggregate a set of geographic areas into a prescribed number of regions (so-called innovation ecosystems) such that the resulting regions preserve the most relevant interactions among industries and encourage the emergence of complex industries. We formulate the 𝑝-IE model as a mixed-integer programming (MIP) problem and propose a heuristic solution approach. We explore a case involving the municipalities of Colombia to illustrate how such a model can be applied and used for policy and regional development.