Innovation, public support and productivity in Colombia
Busom i Piquer, Isabel
Vélez-Ospina, Jorge Andrés

Publicación: Universitat Autònoma de Barcelona. Departament d'Economia Aplicada 2017
Descripción: 48 p.
Resumen: We investigate the association between perceived barriers to innovation and the allocation of public support for innovation in manufacturing and service industries in Colombia, as well as the potential heterogeneity of returns to innovation across the firm-level productivity distribution. We extend the CDM recursive system by including an equation for the allocation of direct support and using quantile regression methods to estimate the productivity equation. We find some differences across manufacturing and service industries. Financing constraints are correlated with obtaining public support in manufacturing and in some services, but in knowledge intensive services (KIS) barriers associated with regulations are more significant. The introduction of innovations increases mostly the productivity of firms below the median of the productivity distribution, especially in services. Increasing human capital would boost productivity of firms in all industries, providing support to the hypothesis that human capital is indeed a bottleneck for productivity growth across the board in Colombia. We conclude that addressing factors that hinder innovation by low productivity firms in all service industries could significantly contribute to increasing productivity and reduce its dispersion.
Derechos: L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: Creative Commons
Lengua: Anglès.
Colección: Departament d'Economia Aplicada: Documents de treball
Colección: Document de treball (Universitat Autònoma de Barcelona. Departament d'Economia Aplicada) ; 17.01
Documento: workingPaper
Materia: Indústries -- Productivitat -- Colòmbia ; Inversions públiques -- Colòmbia ; CDM model ; Innovation ; Productivity ; Public support ; Quantile regression

Adreça alternativa: https://hdl.handle.net/2072/272838


48 p, 492.8 KB

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 Registro creado el 2017-02-16, última modificación el 2019-09-13



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