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<subfield code="a">Almudi, Isabel</subfield>
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<subfield code="a">Fatas-Villafranca, Francisco</subfield>
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<subfield code="a">Izquierdo Millán, Luis Rodrigo</subfield>
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<subfield code="a">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&amp;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</subfield>
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<subfield code="a">10.1093/icc/dtr041</subfield>
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<subfield code="a">Innovation, catch-up, and leadership in science-based industries</subfield>
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