Innovation and Job Creation and Destruction . Evidence from Spain
AbstractIn this paper we examine the effect of innovation on job creation and job destruction in Spanish manufacturing. Our empirical analysis is based on firm-level longitudinal data from which we have information on employment and innovation activity. The estimation approach consists of a two-step procedure that takes into account the fact that firms endogenously choose positive, negative or zero growth in employment, in which the selection mechanism is an ordered probit. Our results point out the importance of innovation variables on employment growth: innovative firms create more jobs âand destroy fewerâ than non-innovative, and the degree of technological effort has a strong positive effect on net employment creation.
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Bibliographic InfoArticle provided by De Boeck Université in its journal Recherches économiques de Louvain.
Volume (Year): 68 (2002)
Issue (Month): 1 ()
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Web page: http://www.cairn.info/revue-recherches-economiques-de-louvain.htm
Other versions of this item:
- César Alonso-Borrego & M. Dolores Collado, 2001. "Innovation And Job Creation And Destruction: Evidence From Spain," Statistics and Econometrics Working Papers ws013824, Universidad Carlos III, Departamento de Estadística y Econometría.
- César ALONSO-BORREGO & Dolores COLLADO, 2002. "Innovation and Job Creation and Destruction : Evidence from Spain," Discussion Papers (REL - Recherches Economiques de Louvain) 2002024, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- M. Dolores Collado, 2001. "Innovation And Job Creation And Destruction: Evidence From Spain," Working Papers. Serie AD 2001-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
- L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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