Resumen: In this article, we seek to shed new light on the sources of industrial leadership and catch-up in science-based industries. We propose an evolutionary model that incorporates scientists’ training and migration, endogenous R&D; decisions, and the possibility of funding capital accumulation through debt. The analysis of the model allows us to characterize a robust pattern of industrial catch-up. Likewise, the sensitivity analysis shows which parameters act as pro-catch-up factors or slow down the process. The identification of stationary-state conditions of the model helps us to interpret the simulations, and highlights crucial interactions between technology-supporting institutions and market demand at the basis of industrial catch-up. Finally, the robustness analysis reveals further interdependencies among innovation, scientist mobility, and demand. Idioma: Inglés DOI: 10.1093/icc/dtr041 Año: 2012 Publicado en: INDUSTRIAL AND CORPORATE CHANGE 21, 2 (2012), 345–375 ISSN: 0960-6491 Factor impacto JCR: 1.331 (2012) Categ. JCR: BUSINESS rank: 57 / 116 = 0.491 (2012) - Q2 - T2 Categ. JCR: MANAGEMENT rank: 82 / 174 = 0.471 (2012) - Q2 - T2 Categ. JCR: ECONOMICS rank: 92 / 333 = 0.276 (2012) - Q2 - T1 Financiación: info:eu-repo/grantAgreement/ES/MICINN/ECO2010-14929 Tipo y forma: Artículo (PostPrint) Área (Departamento): Área Fund. Análisis Económico (Dpto. Análisis Económico)