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Employment Effect of Innovation

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Abstract

The present paper estimates and decomposes the employment e?ect of innovation by R&D intensity levels. Our micro-econometric analysis is based on a large international panel data set from the EU Industrial R&D Investment Scoreboard. Employing ?exible semi-parametric methods – the generalised propensity score – allows us to recover the full functional relationship between the R&D investment and ?rm employment, and to address important econometric issues, which is not possible in the standard estimation approach used in the previous literature. Our results suggest that modest innovators do not create and may even destruct jobs by raising their R&D expenditures. Most of the jobs in the economy are created by innovation followers: increasing innovation by 1% may increase employment up to 0.7%. The job creation e?ect of innovation reaches its peak when the R&D intensity is around 100% of the total capital expenditure, after which the positive employment e?ect declines and becomes statistically insigni?cant. Innovation leaders do not create jobs by further increasing their R&D expenditures, which are already very high.

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  • d'Artis Kancs & Boriss Siliverstovs, 2017. "Employment Effect of Innovation," KOF Working papers 17-428, KOF Swiss Economic Institute, ETH Zurich.
    • Handle: RePEc:kof:wpskof:17-428
    DOI: 10.3929/ethz-a-010852605
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    1. Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-284, April.
    2. Andries Brandsma & D'Artis Kancs, 2015. "RHOMOLO: A Dynamic General Equilibrium Modelling Approach to the Evaluation of the European Union's R&D Policies," Regional Studies, Taylor & Francis Journals, vol. 49(8), pages 1340-1359, August.
    3. Becker, Sascha O. & Egger, Peter H. & von Ehrlich, Maximilian, 2012. "Too much of a good thing? On the growth effects of the EU's regional policy," European Economic Review, Elsevier, vol. 56(4), pages 648-668.
    4. 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).
    5. Francesco Di Comite & dArtis Kancs, 2015. "Macro-Economic Models for R&D and Innovation Policies," JRC Working Papers on Corporate R&D and Innovation 2015-03, Joint Research Centre.
    6. D'Artis Kancs & Pavel Ciaian, 2011. "Modelling the flow of knowledge and human capital: a framework of innovative capital," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 7(1/2/3), pages 134-160.
    7. Alwyn Young, 1993. "Substitution and Complementarity in Endogenous Innovation," NBER Working Papers 4256, National Bureau of Economic Research, Inc.
    8. Jacques Mairesse, 2008. "Employment, innovation, and productivity: evidence from Italian microdata," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(4), pages 813-839, August.
    9. Moncada-Paternò-Castello, Pietro & Ciupagea, Constantin & Smith, Keith & Tübke, Alexander & Tubbs, Mike, 2010. "Does Europe perform too little corporate R&D? A comparison of EU and non-EU corporate R&D performance," Research Policy, Elsevier, vol. 39(4), pages 523-536, May.
    10. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    11. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    12. repec:jns:jbstat:v:227:y:2007:i:3:p:254-272 is not listed on IDEAS
    13. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    14. d’Artis Kancs & Boriss Siliverstovs, 2020. "Employment effect of innovation," Empirical Economics, Springer, vol. 59(3), pages 1373-1391, September.
    15. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    16. Bogliacino, Francesco & Lucchese, Matteo & Pianta, Mario, 2013. "Job creation in business services: Innovation, demand, and polarisation," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 95-109.
    17. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    18. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    19. Peter H. Egger & Maximilian von Ehrlich & Douglas R. Nelson, 2012. "Migration and Trade," The World Economy, Wiley Blackwell, vol. 35(2), pages 216-241, February.
    20. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    21. Lachenmaier Stefan & Rottmann Horst, 2007. "Employment Effects of Innovation at the Firm Level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(3), pages 254-272, June.
    22. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, June.
    23. Francesco Bogliacino, 2014. "Innovation and employment: A firm level analysis with European R&D Scoreboard data," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 15(2), pages 141-154.
    24. Mariacristina Piva & Marco Vivarelli, 2005. "Innovation and Employment: Evidence from Italian Microdata," Journal of Economics, Springer, vol. 86(1), pages 65-83, October.
    25. Fabrizio, Kira R., 2009. "Absorptive capacity and the search for innovation," Research Policy, Elsevier, vol. 38(2), pages 255-267, March.
    26. Bogliacino, Francesco & Piva, Mariacristina & Vivarelli, Marco, 2012. "R&D and employment: An application of the LSDVC estimator using European microdata," Economics Letters, Elsevier, vol. 116(1), pages 56-59.
    27. BIA Michela & FLORES Carlos A. & MATTEI Alessandra, 2011. "Nonparametric Estimators of Dose-Response Functions," LISER Working Paper Series 2011-40, Luxembourg Institute of Socio-Economic Research (LISER).
    28. Alwyn Young, 1993. "Substitution and Complementarity in Endogenous Innovation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 775-807.
    29. Tommaso Antonucci & Mario Pianta, 2002. "Employment Effects of Product and Process Innovation in Europe," International Review of Applied Economics, Taylor & Francis Journals, vol. 16(3), pages 295-307.
    30. P. Geroski, 1998. "An Applied Econometrician's View of Large Company Performance," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 13(3), pages 271-294, June.
    31. Daria Ciriaci & Pietro Moncada-Paternò-Castello & Peter Voigt, 2016. "Innovation and job creation: a sustainable relation?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 189-213, August.
    32. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    2. d’Artis Kancs & Boriss Siliverstovs, 2020. "Employment effect of innovation," Empirical Economics, Springer, vol. 59(3), pages 1373-1391, September.
    3. Durmuş Çagri Yildirim & Seda Yildirim & Seyfettin Erdogan & Tugba Kantarci, 2022. "Innovation—Unemployment Nexus: The case of EU countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1208-1219, January.
    4. Olga Ivanova & d'Artis Kancs & Dirk Stelder, 2009. "Modelling Inter-Regional Trade Flows: Data and Methodological Issues in Rhomolo," EERI Research Paper Series EERI RP 2009/31, Economics and Econometrics Research Institute (EERI), Brussels.
    5. Francesco Di Comite & D'Artis Kancs & Wouter Torfs, 2015. "Macroeconomic Modelling of R&D and Innovation Policies," JRC Research Reports JRC89558, Joint Research Centre.
    6. Chee‐Hong Law & Siong Hook Law, 2024. "The non‐linear impacts of innovation on unemployment: Evidence from panel data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 402-424, January.
    7. Van Roy, Vincent & Vértesy, Dániel & Vivarelli, Marco, 2018. "Technology and employment: Mass unemployment or job creation? Empirical evidence from European patenting firms," Research Policy, Elsevier, vol. 47(9), pages 1762-1776.
    8. Mario Coccia, 2018. "Optimization in R&D intensity and tax on corporate profits for supporting labor productivity of nations," The Journal of Technology Transfer, Springer, vol. 43(3), pages 792-814, June.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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