Skip to main content

Advertisement

Log in

Employment impacts of market novelty sales: evidence for nine European Countries

  • Original Paper
  • Published:
Eurasian Business Review Aims and scope Submit manuscript

Abstract

This study investigates the impact of new market product (market novelty) sales on labor demand (employment). Based on a two-output cost function (market novelties and existing products) a relative employment equation is derived with the ratio of labor to material inputs as dependent variables. The relative labor demand model is estimated using biennial data for 25 industries, nine European countries and five time periods (2002–2010) or by use of a size-class dataset with broad industry groups. System GMM estimations accounting for endogeneity show that the turnover (sales) of market novelties (in relation to existing products) has a significant impact on relative employment in manufacturing industries. On average, an increase in the relative turnover of new market products by one percentage point is associated with a 1.6% increase in the employment ratio. In contrast, employment in service industries does not benefit from new market products but instead from the intensity with which information and communication technology innovations are used, approximated by the proportion of broadband internet connected employees. When instead the size-class dataset is employed, it becomes clear that market novelties primarily drive employment in small firms.

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. See http://ec.europa.eu/eurostat/web/microdata/micro-moments-dataset).

  2. www.euklems.net and www.wiod.org.

  3. The GMM estimations are carried out using the XTABOND2 command in STATA 14.

References

  • Antonucci, T., & Pianta, M. (2002). Employment effects of product and process innovations in Europe. International Review of Applied Economics, 16, 295–307.

    Article  Google Scholar 

  • Atasoy, H. (2013). The effects of broadband internet expansion on labor market outcomes. Industrial and Labor Relations Review, 66(2), 315–345.

    Article  Google Scholar 

  • Bartelsman, E. J., Hagsten, E., & Polder, M. (2013). Cross-country analysis of ICT impact using firm-level data: Micro Moments Database and Research Infrastructure. Eurostat, Luxembourg.

  • Bartelsman, E. J., Hagsten, E., & Polder, M. (2017). Micro moments database for cross-country analysis of ICT, innovation, and economic outcomes. Journal of Economics & Management Strategy, 1–40 (forthcoming).

  • Biagi, F., & Falk, M. (2017). The impact of ICT and e-commerce on employment in Europe. Journal of Policy Modeling, 39(1), 1–18.

    Article  Google Scholar 

  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115–143.

    Article  Google Scholar 

  • Bogliacino, F., & Pianta, M. (2010). Innovation and employment: A reinvestigation using revised Pavitt classes. Research Policy, 39(6), 799–809.

    Article  Google Scholar 

  • Bogliacino, F., Piva, M., & Vivarelli, M. (2012). R&D and employment: an application of the LSDVC estimator using European microdata. Economics Letters, 116(1), 56–59.

    Article  Google Scholar 

  • Bogliacino, F., & Vivarelli, M. (2012). The job creation effect of R&D expenditures. Australian Economic Papers, 51(2), 96–113.

    Article  Google Scholar 

  • Borjas, G. J. (2010). Labour economics (6th ed.). New York: McGraw Hill.

    Google Scholar 

  • Brynjolfsson, E., & McAfee, A. (2011). Race against the machine: How the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy. Tokyo: Digital Frontier Press.

    Google Scholar 

  • Calvino, F., & Virgillito, M. E. (2017). The Innovation-Employment nexus: a critical survey of theory and empirics. Journal of Economic Surveys, 1–38 (early view).

  • Chambers, R. G. (1988). Applied production analysis: A dual approach. Cambridge: Cambridge University Press.

    Google Scholar 

  • Chen, S. S., Ho, K. W., & Ik, K. H. (2005). The wealth effect of new product introductions on industry rivals. The Journal of Business, 78(3), 969–996.

    Article  Google Scholar 

  • Ciriaci, D., Moncada-Paternò-Castello, P., & Voigt, P. (2016). Innovation and job creation: A sustainable relation? Eurasian Business Review, 6(2), 189–213.

    Article  Google Scholar 

  • Dachs, B., Hud, M., Koehler, C., & Peters, B. (2017). Innovation, creative destruction and structural change: Firm-level evidence from European Countries. Industry and Innovation, 24(4), 346–381.

    Article  Google Scholar 

  • Dachs, B., Hud, M., Köhler, C., & Peters, B. (2016). Employment effects of innovation over the business cycle: Evidence from European Countries. Mannheim: ZEW Discussion Paper No. 16-076.

  • Dachs, B., & Peters, B. (2014). Innovation, employment growth, and foreign ownership of firms: A European perspective. Research Policy, 43(1), 214–232.

    Article  Google Scholar 

  • Edquist, C., Hommen, L., & McKelvey, M. (2001). Innovation and employment: Product versus process innovation. Cheltenham: Elgar.

    Book  Google Scholar 

  • Evangelista, R., Guerrieri, P., & Meliciani, V. (2014). The economic impact of digital technologies in Europe. Economics of Innovation and New Technology, 23(8), 802–824.

    Article  Google Scholar 

  • Evangelista, R., & Savona, M. (2003). Innovation, employment and skills in services. Firm and sectoral evidence. Structural Change and Economic Dynamics, 14(4), 449–474.

    Article  Google Scholar 

  • Evangelista, R., & Vezzani, A. (2010). The economic impact of technological and organizational innovations. A firm-level analysis. Research Policy, 39(10), 1253–1263.

    Google Scholar 

  • Evangelista, R., & Vezzani, A. (2012). The impact of technological and organizational innovations on employment in European Firms. Industrial and Corporate Change, 21(4), 871–899.

    Article  Google Scholar 

  • Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280.

    Article  Google Scholar 

  • Greenan, N., & Guellec, D. (2000). Technological innovation and employment reallocation. Labour, 14(4), 547–590.

    Article  Google Scholar 

  • Griliches, Z., & Hausman, J. A. (1986). Errors in variables in panel data. Journal of Econometrics, 31(1), 93–118.

    Article  Google Scholar 

  • Hagsten, E. (2016). Broadband connected employees and labour productivity: a comparative analysis of 14 European countries based on distributed Microdata access. Economics of Innovation and New Technology, 25(6), 613–629.

    Article  Google Scholar 

  • Hamermesh, D. (1993). Labor demand. Princeton: Princeton University Press.

    Google Scholar 

  • Harrison, R., Jaumandreu, J., Mairesse, J., & Peters, B. (2008). Does innovation stimulate employment? A firm-level analysis using comparable micro data on four European countries. NBER working paper 14216.

  • Harrison, R., Jaumandreu, J., Mairesse, J., & Peters, B. (2014). Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries. International Journal of Industrial Organization, 35, 29–43.

    Article  Google Scholar 

  • Jaumandreu, J. (2003). Does innovation spur employment? A Firm-Level Analysis using Spanish CIS Data. v: Mimeo, university Carlos III de Madrid.

    Google Scholar 

  • Katsoulacos, Y. S. (1986). The employment effect of technical change. Brighton: Harvester.

    Google Scholar 

  • Lachenmaier, S., & Rottmann, H. (2011). Effects of innovation on employment: A dynamic panel analysis. International Journal of Industrial Organization, 29(2), 210–220.

    Article  Google Scholar 

  • Lucchese, M., & Pianta, M. (2012). Innovation and employment in economic cycles. Comparative Economic Studies, 54(2), 341–359.

    Article  Google Scholar 

  • Mairesse, J., & Mohnen, P. (2010). Using innovation surveys for econometric analysis. In B. H. Hall & N. Rosenberg (Eds.), Handbook of the economics of innovation (pp. 1130–1155). Amsterdam: Elsevier.

    Google Scholar 

  • Mastrostefano, V., & Pianta, M. (2009). Technology and jobs. Economics of Innovation and New Technology, 18(8), 729–741.

    Article  Google Scholar 

  • Pantea, S., Sabadash, A., & Biagi, F. (2017). Are ICT displacing workers in the short run? Evidence from seven European countries. Information Economics and Policy, 39, 36–44.

    Article  Google Scholar 

  • Pianta, M., & Vaona, A. (2007). Innovation and productivity in European industries. Economics of Innovation and New Technology, 16(7), 485–499.

    Article  Google Scholar 

  • Raymond, W., Mohnen, P., Palm, F., & van der Loeff, S. S. (2010). Persistence of innovation in Dutch manufacturing: Is it spurious? Review of Economics and Statistics, 92(3), 495–504.

    Article  Google Scholar 

  • Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9(1), 86–136.

    Google Scholar 

  • Sabadash, A. (2013). ICT-induced technological progress and employment: A literature review (No. 2013-07). Institute of Prospective Technological Studies, Joint Research Centre.

  • Stoneman, P. (1983). The economic analysis of technological change. Oxford: Oxford University Press.

    Google Scholar 

  • Van Reenen, J. (1997). Employment and technological innovation: Evidence from U.K. manufacturing firms. Journal of Labor Economics, 15(2), 255–284.

    Article  Google Scholar 

  • Vivarelli, M. (2013). Technology, employment and skills: an interpretative framework. Eurasian Business Review, 3(1), 66–89.

    Google Scholar 

  • Vivarelli, M. (2014). Innovation, employment and skills in advanced and developing countries: a survey of economic literature. Journal of Economic Issues, 48(1), 123–154.

    Article  Google Scholar 

  • Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126, 25–51.

    Article  Google Scholar 

Download references

Acknowledgments

We would like to thank Eric Bartelsman, Randolph Bruno, Bertrand Koebel, Anna Sabadash, Willi Semmler and the participants of the IPTS-ESSLait workshop (March 2014) in Seville, the Conference of European Statistics Stakeholders (November 2014) in Rome, the Austrian Economic Association (NOEG) (June 2015), the WCCE in Rome (June 2015) and the Schumpeter conference in Montreal (July 2016) for helpful comments on earlier versions of the article. This work was initiated within the collaboration between WIFO and the ESSLait project (Eurostat Grant Agreement Number 50721.2013.001-2013.082). The authors would also like to thank the Austrian National Bank for financial support (Grant Number 16524).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martin Falk.

Appendices

Appendix 1

Table 6.

Table 6 Impact of market novelties on relative labor demand, manufacturing industries, pre-crisis period (system GMM estimations)

Appendix 2

Tables 7 and 8.

Table 7 Industry definitions (NACE 1.1)
Table 8 EUKLEMS alternative industry definitions

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Falk, M., Hagsten, E. Employment impacts of market novelty sales: evidence for nine European Countries. Eurasian Bus Rev 8, 119–137 (2018). https://doi.org/10.1007/s40821-017-0098-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40821-017-0098-0

Keywords

JEL Classification

Navigation