Technological assimilation and divergence in times of crisis

We study an endogenous stochastic growth model whose dynamic evolution is determined by an adaptive learning process defining the accumulation of technological knowledge within countries. Both the assimilation of technological knowledge and the arrival rate of innovations depend on the technological...

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Detalles Bibliográficos
Autores: Álvarez González, Isabel, Di Caprio, Débora, Santos Arteaga, Francisco Javier
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/23573
Acceso en línea:https://hdl.handle.net/20.500.14352/23573
Access Level:acceso abierto
Palabra clave:338.3(474)
338.1(474)
O31
O33
Technology assimilation
Learning
Stochastic growth
National innovation system
Technological development
Economic crisis
Baltic states
European Union
Crisis económicas
Desarrollo económico
Econometría (Economía)
Economía internacional
5307.06 Fluctuaciones Económicas
5307.03 Modelos y Teorías del desarrollo Económico
5307.04 Estudios del desarrollo Económico
5302 Econometría
5310 Economía Internacional
Descripción
Sumario:We study an endogenous stochastic growth model whose dynamic evolution is determined by an adaptive learning process defining the accumulation of technological knowledge within countries. Both the assimilation of technological knowledge and the arrival rate of innovations depend on the technological development level of countries. We illustrate how heterogeneous levels of technological development provide laggard countries with insufficient innovation incentives, leading to divergences in total factor productivity and their technological stagnation. The model is simulated numerically using data from the current Innovation Union Scoreboard where the main expected growth patterns of the Baltic States are compared to those of the reference innovators within the European Union area.