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Innovation and job creation and destruction : evidence from Spain

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  • Alonso-Borrego, César
  • Collado, M. Dolores

Abstract

In 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 -and destroy fewer- than non-innovative, and the degree of technological effort has a strong positive effect on net employment creation.

Suggested Citation

  • Alonso-Borrego, César & Collado, M. Dolores, 2001. "Innovation and job creation and destruction : evidence from Spain," DES - Working Papers. Statistics and Econometrics. WS ws013824, Universidad Carlos III de Madrid. Departamento de Estadística.
  • Handle: RePEc:cte:wsrepe:ws013824
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    Cited by:

    1. Elena Cefis & Roberto Gabriele, 2005. "Does Spatial Disaggregation Matter in Job Creation and Destruction Flows?," LEM Papers Series 2005/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. David Giuliodori & Rodolfo Stucchi, 2012. "Innovation and job creation in a dual labor market: evidence from Spain," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(8), pages 801-813, November.
    3. Richard Duhautois & Christine Erhel & Mathilde Guergoat-Larivière & Malo Mofakhami & Monika Obersneider & Dominik Postels & José Ignacio Anton & Rafael Muñoz De Bustillo & Fernando Pinto, 2018. "The Employment and Job Quality Effects of Innovation in France, Germany and Spain: Evidence from Firm-Level Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02613444, HAL.
    4. Alonso-Borrego, César & Forcadell, Francisco Javier, 2007. "Corporate diversification and R&D intensity dynamics," UC3M Working papers. Economics we078249, Universidad Carlos III de Madrid. Departamento de Economía.
    5. Richard Duhautois & Christine Erhel & Mathilde Guergoat-Larivière & Malo Mofakhami & Monika Obersneider & Dominik Postels & José Ignacio Anton & Rafael Muñoz De Bustillo & Fernando Pinto, 2018. "The Employment and Job Quality Effects of Innovation in France, Germany and Spain: Evidence from Firm-Level Data," Working Papers hal-02613444, HAL.
    6. Alonso-Borrego, César & Forcadell, Francisco Javier, 2010. "Related diversification and R&D intensity dynamics," Research Policy, Elsevier, vol. 39(4), pages 537-548, May.
    7. Chih‐Hai YANG & Chun‐Hung A. LIN, 2008. "Developing Employment Effects Of Innovations: Microeconometric Evidence From Taiwan," The Developing Economies, Institute of Developing Economies, vol. 46(2), pages 109-134, June.
    8. Heijs, Joost & Arenas Díaz, Guillermo & Vergara Reyes, Delia Margarita, 2019. "Impact of innovation on employment in quantitative terms: review of empirical literature based on microdata," MPRA Paper 95326, University Library of Munich, Germany.
    9. Richard Duhautois & Christine Erhel & Mathilde Guergoat-Larivière & Malo Mofakhami & Monika Obersneider & Dominik Postels & José Ignacio Anton & Rafael Muñoz De Bustillo & Fernando Pinto, 2018. "The Employment and Job Quality Effects of Innovation in France, Germany and Spain: Evidence from Firm-Level Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02966011, HAL.

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    JEL classification:

    • 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

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