IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Do process innovations boost SMEs productivity growth?

  • Juan Antonio Máñez Castillejo

    ()

    (Universitat de València)

  • Amparo Sanchis Llopis

    (Universitat de València)

  • Juan A. Sanchis Llopis

    (Universitat de València)

  • María Engracia Rochina Barrachina

    (Universitat de València)

In this paper we explore in depth the effect of process innovations on total factor productivity growth for small and medium enterprises (SMEs), taking into account the potential endogeneity problem that may be caused by self selection into these activities. First, we analyse whether the ex-ante most productive SMEs are those that start introducing process innovations; then, we test whether process innovations boost SMEs productivity growth using matching techniques to control for the possibility that selection into introducing process innovations may not be a random process. We use a sample of Spanish manufacturing SMEs for the period 1991-2002, drawn from the Encuesta sobre Estrategias Empresariales. Our results show that the introduction of process innovations by a first-time process innovator yields an extra productivity growth as compared to a non-process innovator, and that the life span of this extra productivity growth has an inverted U-shaped form. En este artículo se exploran los posibles efectos de la introducción de innovaciones de proceso en el crecimiento de la productividad de las pequeñas y medianas empresas (PYMES). Para ello se presta especial atención a la existencia de un problema de selección no aleatorio en la implementación de tales innovaciones. En primer lugar, se analiza si son aquellas empresas ex-ante más productivas las que introducen innovaciones de proceso. A continuación, se utilizan técnicas de matching para contrastar si la implementación de innovaciones de proceso acelera el crecimiento de la productividad de las PYMES. La utilización de técnicas de matching permite controlar la posible existencia de un proceso de selección no aleatorio en la implementación de innovaciones de proceso. El análisis empírico se lleva cabo usando una muestra de PYMES manufactureras españolas extraída de la Encuesta sobre Estrategias Empresariales. Nuestros resultados muestran que la implementación de innovaciones de proceso por parte de PYMES sin experiencia previa en la introducción de tales innovaciones, produce un crecimiento extra de la productividad de estas PYMES en comparación con el de aquellas PYMES que no implementan innovaciones de proceso. Adicionalmente, nuestros resultados sugieren la existencia de una relación en forma de U invertida entre el crecimiento extra de la productividad y el tiempo transcurrido desde la introducción de la innovación de proceso.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.ivie.es/downloads/docs/wpasec/wpasec-2009-12.pdf
File Function: Fisrt version / Primera version, 2009
Download Restriction: no

Paper provided by Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) in its series Working Papers. Serie EC with number 2009-12.

as
in new window

Length: 30 pages
Date of creation: Oct 2009
Date of revision:
Publication status: Published by Ivie
Handle: RePEc:ivi:wpasec:2009-12
Contact details of provider: Postal: C/ Guardia Civil, 22, Esc 2a, 1o, E-46020 VALENCIA
Phone: +34 96 319 00 50
Fax: +34 96 319 00 55
Web page: http://www.ivie.es/
Email:


More information through EDIRC

References listed on IDEAS
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.:

as in new window
  1. Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation and Productivity : An Econometric Analysis at the Firm Level," Working Papers 98-33, Centre de Recherche en Economie et Statistique.
  2. Good, D. & Nadiri, M.I. & Sickles, R., 1996. "Index Number and Factor Demand Approaches to the Estimarion of Productivity," Working Papers 96-34, C.V. Starr Center for Applied Economics, New York University.
  3. Juan A. M��Ez & Mar�A E. Rochina-Barrachina & Amparo Sanchis & Juan A. Sanchis, 2009. "THE ROLE OF SUNK COSTS IN THE DECISION TO INVEST IN R&D -super-* ," Journal of Industrial Economics, Wiley Blackwell, vol. 57(4), pages 712-735, December.
  4. Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 19 Jan 2015.
  5. Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
  6. Philippe Aghion & Peter Howitt, 1990. "A Model of Growth Through Creative Destruction," NBER Working Papers 3223, National Bureau of Economic Research, Inc.
  7. Zoltan Acs & David Audretsch, 1990. "Innovation and Small Firms," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011131, June.
  8. Bronwyn H. Hall, 2002. "The Financing of Research and Development," NBER Working Papers 8773, National Bureau of Economic Research, Inc.
  9. Ichino, Andrea & Mealli, Fabrizia & Nannicini, Tommaso, 2006. "From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and their Sensitivity?," CEPR Discussion Papers 5736, C.E.P.R. Discussion Papers.
  10. Pakes, A. & Ericson, R., 1990. "Empirical Implications Of Alternative Models Of Firm Dynamics," Papers 594, Yale - Economic Growth Center.
  11. Tor Jakob Klette & Frode Johansen, 1996. "Accumulation of R&D Capital and Dynamic Firm Performance: A Not-so-fixed Effect Model," Discussion Papers 184, Research Department of Statistics Norway.
  12. Jacques Mairesse & Pierre Mohnen, 2005. "The Importance of R&D for Innovation: A Reassessment Using French Survey Data," The Journal of Technology Transfer, Springer, vol. 30(2_2), pages 183-197, 01.
  13. Sascha Becker & Peter Egger, 2013. "Endogenous product versus process innovation and a firm’s propensity to export," Empirical Economics, Springer, vol. 44(1), pages 329-354, February.
  14. Smolny, Werner, 1998. "Innovations, Prices and Employment: A Theoretical Model and an Empirical Application for West German Manufacturing Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 46(3), pages 359-81, September.
  15. Imbens, Guido & Abadie, Alberto, 2008. "On the Failure of the Bootstrap for Matching Estimators," Scholarly Articles 3043415, Harvard University Department of Economics.
  16. Xulia González & Jordi Jaumandreu, . "Threshold effects in product R&D decisions: theoretical framework and empirical analysis," Studies on the Spanish Economy 78, FEDEA.
  17. Tommaso Nannicini, 2009. "A simulation-based sensitivity analysis for matching estimators," Italian Stata Users' Group Meetings 2008 05, Stata Users Group.
  18. Dasgupta, Partha & Stiglitz, Joseph, 1980. "Industrial Structure and the Nature of Innovative Activity," Economic Journal, Royal Economic Society, vol. 90(358), pages 266-93, June.
  19. Cohen, Wesley M & Klepper, Steven, 1996. "Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 232-43, May.
  20. Davies, Stephen W., 1979. "Inter-firm diffusion of process innovations," European Economic Review, Elsevier, vol. 12(4), pages 299-317, October.
  21. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity across Four European Countries," NBER Working Papers 12722, National Bureau of Economic Research, Inc.
  22. Davidson, Russell & Duclos, Jean-Yves, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Cahiers de recherche 9805, Université Laval - Département d'économique.
  23. Pavitt, Keith & Robson, Michael & Townsend, Joe, 1987. "The Size Distribution of Innovating Firms in the UK: 1945-1983," Journal of Industrial Economics, Wiley Blackwell, vol. 35(3), pages 297-316, March.
  24. Lee, Chang-Yang & Sung, Taeyoon, 2005. "Schumpeter's legacy: A new perspective on the relationship between firm size and R&D," Research Policy, Elsevier, vol. 34(6), pages 914-931, August.
  25. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
  26. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  27. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
  28. Huergo, Elena & Jaumandreu, Jordi, 2004. "Firms' age, process innovation and productivity growth," International Journal of Industrial Organization, Elsevier, vol. 22(4), pages 541-559, April.
  29. María Rochina-Barrachina & Juan Mañez & Juan Sanchis-Llopis, 2010. "Process innovations and firm productivity growth," Small Business Economics, Springer, vol. 34(2), pages 147-166, February.
  30. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
  31. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
  32. Marcos Vera-Hernández & Aida Galiano Martínez, 2008. "Health shocks, household consumption, and child nutrition," Working Papers. Serie EC 2008-14, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  33. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
  34. repec:fth:inseep:9833 is not listed on IDEAS
  35. Francisco José Goerlich Gisbert & Rafael Pinilla Pallejà, 2009. "Esperanzas de vida libres de discapacidad por sexo y comunidad autónoma: 2004-2006," Working Papers. Serie EC 2009-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ivi:wpasec:2009-12. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Departamento de Edición)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.