ARTÍCULO
TITULO

ICT, INNOVATION, WAGES AND LABOUR PRODUCTIVITY. NEW EVIDENCE FROM SMALL LOCAL FIRMS

Pilar Ficapal Cusí (Universidad Oberta de Catalunya)    
Ángel Díaz Chao (Universidad Rey Juan Carlos)    
Joan Torrent Sellens (Universidad Oberta de Catalunya)    

Resumen

ABSTRACTThis article analyses new co-innovative sources (ICTs, human capital and training, and new forms of work organisation) of labour productivity in small firms producing for local markets. Using 2009 survey data for a representative sample of 464 firms based in Girona (a province in the north-east of Spain) and using Ordinary Least Square (OLS) econometric estimation techniques, two main findings have emerged from the study. First, that mean wage is the main determinant of labour productivity. And second, unlike the evidence available for larger firms, co-innovation does not have a total effect on explaining small local firm?s labour productivity. Causal relationships between co-innovation and labour productivity have only been identified in the innovative small local firms, one quarter of the sample.RESUMENEste artículo analiza las nuevas fuentes co-innovadoras (TIC, formación y nuevas formas de organización del empleo) de la productividad del trabajo en empresas pequeñas que producen para los mercados locales. Utilizando datos de una muestra representativa para 464 empresas localizadas en Girona (un provincia del norte de España) durante 2009, y a través de técnicas de estimación econométrica por mínimos cuadrados ordinarios, la investigación ha obtenido dos resultados principales. En primer lugar, que el salario es el principal determinante de la productividad del trabajo. En segundo lugar, y en contraposición con la evidencia hallada para las grandes empresas, en las pequeñas empresas con mercados locales la co-innovación no ejerce un efecto total sobre la productividad del trabajo. Únicamente se ha obtenido relación de causalidad directa entre la co-innovación y la productividad en las pequeñas empresas locales innovadoras, una cuarta parte de la muestra total.

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