Skip to main content

Advertisement

Log in

Technological innovation and productivity across Spanish regions

  • Original Paper
  • Published:
The Annals of Regional Science Aims and scope Submit manuscript

Abstract

This article used a CDM three-stage structural model based on data from the Spanish technological innovation panel to analyse the differential impact of technological innovation on labour productivity in the three largest Spanish regions and the Spanish economy as a whole. Although a considerable number of studies have used national data to analyse this relationship, very few studies have done so using microdata at the regional level. The results suggest that in Andalusia and Madrid increases in labour productivity were only associated with the increased probability of product innovation, whereas in Catalonia they were only associated with process innovation. These results suggest a lack of convergence in business strategies to improve labour productivity in these regions. Therefore, business investment in R&D and public institution funding decisions on support for technological innovation should be aimed at improving these less effective innovation strategies for increasing labour productivity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. We eliminated companies with observations that were clearly anomalous according to a criterion similar to that established by Lööf and Heshmati (2006), Raymond et al. (2010), and Mohnen et al. (2006).

  2. The data for Spain as a whole could have been affected by the fact that it was impossible to obtain data from some other Spanish regions, such as the Basque Country, Navarre, and the Valencian Community, which have a high level of technological and economic development. The database used only offers regionalized data for Madrid, Andalusia, and Catalonia.

  3. See http://www.sepg.pap.minhap.gob.es/sitios/sepg/es-ES/Presupuestos/Documentacion.aspx.

  4. Cappellari and Jenkins (2003) employed the maximum simulated likelihood (MSL) method using the Geweke–Hajivassiliou–Keane (GHK) simulator.

References

  • Aboal D, Arias-Ortiz E, Crespi G et al (2015) La innovación y la nueva economía de servicios en América Latina y el Caribe. Retos e implicaciones de política, Centro de Investigaciones Económicas, Montevideo

    Google Scholar 

  • Acosta M, Coronado D, Romero C (2015) Linking public support, R&D, innovation and productivity: new evidence from the Spanish food industry. Food Policy 57:50–61

    Article  Google Scholar 

  • Álvarez R, Zahler A, Bravo-Ortega C (2012) Innovation and productivity in services: Evidence from Chile. Discussion Paper IDB-DP-263. Inter-American Development Bank, Washington DC

  • Belderbos S, Leten B, Suzuki S (2011) How global is R&D? Determinants of the home country bias in R&D investments. In: Paper Presented at the DIME Final Conference, 6–9 April 2011. UNU-MERIT & School of Economics and Business, Maastricht University

  • Buesa M, Heijs J, Baumert T (2010) The determinants of regional innovation in Europe: a combined factorial and regression knowledge production function approach. Res Policy 39:722–735

    Article  Google Scholar 

  • Cappellari L, Jenkins S (2003) Multivariate probit regression using simulated maximum likelihood. Stata J 3:278–294

    Article  Google Scholar 

  • Castellacci F (2011) How does competition affect the relationship between innovation and productivity? Estimation of a CDM model for Norway. Econ Innov New Technol 20:637–658

    Article  Google Scholar 

  • Castellani D, Pieri F (2013) R&D offshoring and the productivity growth of European regions. Res Policy 42:1581–1594

    Article  Google Scholar 

  • Chudnovsky D, López A, Pupato G (2006) Innovation and productivity in developing countries: a study of argentine manufacturing firms’ behavior (1992–2001). Res Policy 35:266–288

    Article  Google Scholar 

  • Coremberg A, Pérez-García F (2010) Fuentes del crecimiento y la productividad en Europa y América Latina. Fundación BBVA, Bilbao

    Google Scholar 

  • Crépon B, Duguet E, Mairesse J (1998) Research, innovation and productivity: an econometric analysis at the firm level. Econ Innov New Technol 7:115–158

    Article  Google Scholar 

  • Criscuolo C (2009) Innovation and productivity: estimating the core model across 18 countries. OECD. Innovation in firms: a microeconomic perspective. OECD, Paris

    Google Scholar 

  • De Busto A, Cutanda A, Díaz A, et al (2008) La BD Mores en base 2000. Documento de Trabajo No. D-2008-08. Dirección General de Presupuestos, Ministerio de Hacienda y Hacienda Pública, Madrid

  • Dutrenit G, De Fuentes C, Santiago N, et al (2013) Innovation and Productivity in the Service Sector: the Case of Mexico. Discussion Paper IDB-DP-293. Inter-American Development Bank, Washington DC

  • Edler J, Fagerberg J (2017) Innovation policy: what, why, and how. Oxf Rev Econ Policy 33:2–23

    Article  Google Scholar 

  • Felsenstein D (2015) Factors affecting regional productivity and innovation in israel: some empirical evidence. Reg Stud 49:1457–1468

    Article  Google Scholar 

  • Fundación BBVA, IVIE (2017) El stock y los servicios del capital en España y su distribución territorial y sectorial (1964–2014). http://www.fbbva.es/TLFU/microsites/stock09/fbbva_stock08_index.html

  • García-Pozo A, Marchante-Mera AJ, Campos-Soria JA (2018) Innovation, environment, and productivity in the Spanish service sector: an implementation of a CDM structural model. J Clean Prod 171:1049–1057

    Article  Google Scholar 

  • Goya E, Vayá E, Suriñach J (2013) Do Spillovers Matter? CDM Model Estimates for Spain Using Panel Data. Working Paper WP4/28. (SEARCH), Barcelona

  • Griffith R, Huergo E, Mairesse J, Peters B (2006) Innovation and productivity across four European countries. Oxf Rev Econ Policy 22:483–498

    Article  Google Scholar 

  • Griliches Z (1979) Issues in assessing the contribution of research and development to productivity growth. Bell J Econ 10:92–116

    Article  Google Scholar 

  • Griliches Z (1986) Productivity, R&D, and basic research at the firm level in the 1970’s. Am Econ Rev 76:141–154

    Google Scholar 

  • Hall B, Mairesse J (1995) Exploring the relationship between R&D and productivity in French manufacturing firms. J Econom 65:263–293

    Article  Google Scholar 

  • Hall B, Lotti F, Mairesse J (2009) Innovation and productivity in SMEs: empirical evidence for Italy. Small Bus Econ 33:13–33

    Article  Google Scholar 

  • Heckman JJ (1979) Sample selection bias as a specification error. Econometrica 47:153–161

    Article  Google Scholar 

  • INE (2018) Contabilidad Regional de España. http://www.ine.es/dyngs/INEbase/en/operacion.htm?c=Estadistica_C&cid=1254736167628&menu=resultados&idp=1254735576581

  • Jaffe A (1986) Technological opportunity and spillovers of R&D. Am Econ Rev 76:984–1001

    Google Scholar 

  • Klette T, Griliches Z (1996) The inconsistency of common scale estimators when output prices are unobserved and endogenous. J Appl Econom 11:343–361

    Article  Google Scholar 

  • Lee C (2011) Trade, productivity, and innovation: firm-Level evidence from Malaysian manufacturing. J Asian Econ 22:284–294

    Article  Google Scholar 

  • Lööf H, Heshmati A (2002) Knowledge capital and performance heterogeneity: a firm-level innovation study. Int J Prod Econ 76:61–85

    Article  Google Scholar 

  • Lööf H, Heshmati A (2006) On the relationship between innovation and performance: a sensitivity analysis. Econ Innov New Technol 15:317–344

    Article  Google Scholar 

  • Lööf H, Heshmati A, Apslund R et al (2003) Innovation and performance in manufacturing industries: a comparison of the Nordic countries. Int J Market Res 2:5–36

    Google Scholar 

  • Mairesse J, Jaumandreu J (2005) Panel-data estimates of the production function and the revenue function: what differences does it make? Scand J Econ 107:651–672

    Article  Google Scholar 

  • Mairesse J, Robin S (2010) Innovation and productivity: a firm-level analysis for French manufacturing and services using CIS3 and CIS4 Data (1998–2000 and 2002–2004). CREST-ENSAE, Paris

    Google Scholar 

  • Marin G (2014) Do eco-innovations harm productivity growth through crowding out? Results of an extended CDM model for Italy. Res Policy 43:301–317

    Article  Google Scholar 

  • Mohnen P, Mairesse J, Dagenais M (2006) Innovativity: a comparison across seven European countries. Econ Innov New Technol 15:391–413

    Article  Google Scholar 

  • Narula R (2002) Innovation systems and ‘inertia’ in R&D location: Norwegian firms and the role of systemic lock-in. Res Policy 31:795–816

    Article  Google Scholar 

  • OECD (2005) Oslo Manual. Guidelines for collecting and interpreting innovation data, 3rd edn. OECD and Eurostat, Brussels

    Book  Google Scholar 

  • OECD (2009) Innovation in Firms. A Microeconomic Perspective. OECD Publishing, Paris

    Book  Google Scholar 

  • OECD (2011) Regions and Innovation Policy. OECD Publishing, Paris

    Book  Google Scholar 

  • Pakes A, Griliches Z (1980) Patents and R and D at the firm level: a first look. Working Paper 561. NBER, Cambridge

  • Peters B, Riley R, Siedschlag I, et al (2014) Innovation and Productivity in Services: evidence from Germany, Ireland and United Kingdom. IPTS Working Paper 04/2014. European Commission, Seville

  • Polder M, Van Leeuwen G, Mohnen P et al (2009) Productivity Effects of Innovation Modes. Discussion Paper 18893. Statistics Netherlands, The Hague

  • Raffo J, Lhuillery S, Miotti L (2008) Northern and southern innovativity: a comparison across European and Latin American countries. Eur J Dev Res 20:219–239

    Article  Google Scholar 

  • Raymond W, Mohnen P, Palm F et al (2010) Persistence of innovation in Dutch manufacturing: is it spurious? Rev Econ Stat 92:495–504

    Article  Google Scholar 

  • Segarra A, Teruel M (2011) Productivity and R&D sources: evidence for Catalan firms. Econ Innov New Technol 20:727–748

    Article  Google Scholar 

  • Segarra-Blasco A (2010) Innovation and productivity in manufacturing and service firms in Catalonia: a regional approach. Econ Innov New Technol 19:233–258

    Article  Google Scholar 

  • Siedschlag I, Zhang X (2015) Internationalisation of firms and their innovation and productivity. Econ Innov New Technol 24:183–203

    Article  Google Scholar 

  • Siedschlag I, Killeen N, Smith D, et al (2011) Internationalisation and the Innovation Activities of Services Firms. Working Paper No. 406. Dublin: Economic and Social Research Institute (ESRI)

  • Stelios K, Aristotelis S (2009) Knowledge-intensive Services, innovation and economic performance: a firm-level analysis. Centre for Planning and Economic Research, Athens

    Google Scholar 

  • Vieira E, Neira I, Vázquez E (2011) Productivity and innovation economy: comparative analysis of European NUTS II, 1995–2004. Reg Stud 45:1269–1286

    Article  Google Scholar 

  • Wadho W, Chaudhry A (2018) Innovation and firm performance in developing countries: the case of Pakistani textile and apparel manufacturers. Res Policy 47:1283–1294

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alejandro García-Pozo.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Table 5.

Table 5 Variables and definition

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

García-Pozo, A., Campos-Soria, J.A. & Núñez-Carrasco, J.A. Technological innovation and productivity across Spanish regions. Ann Reg Sci 67, 167–187 (2021). https://doi.org/10.1007/s00168-020-01044-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00168-020-01044-9

JEL classification

Navigation