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The Impact of R&D Investments on Performance of Firms in Different Degrees of Proximity to the Technological Frontier

Author

Listed:
  • Leonardo Rocha Andrade

    (Universidade Federal Rural do Semi-Ã rido)

  • Leonardo Q. Cardenas

    (Universidade Federal Rural do Semi-Ã rido)

  • Fernando Dias Lopes

    (Universidade Federal do Rio Grande do Sul)

  • Fernando P. S. Oliveira

    (Universidade Federal Rural do Semi-Ã rido)

  • Kaio Cesar Fernandes

    (Universidade Federal Rural do Semi-Ã rido)

Abstract

This study analyzes the impact of R&D in the performance of companies from different degrees of proximity to the technological frontier. In this way, a model of endogenous growth was built, where firms operating closer to this frontier use the research resources to move it, enjoying a higher return. To test this hypothesis, we used a sample of companies with major investments in R&D in the world, according the ‘EU Industrial R&D Investment Scoreboard'. Then, an indicator that measures the degree of proximity to the frontier for each sector was built. Through the technique of regression with panel data, it was estimated an equation where the performance metrics of the company is conditioned by investments in R&D and the investment interacted with the proximity index to the frontiers. Thus, the impact of investments in performance is represented by two important vectors of influence: (1) the average effect of investments on performance, represented as a direction of the sector in demand for investment; (2) the effect-efficiency that determines the company's strategy as its position in relation to the established frontier. The results show that, as the firms get closer the technological frontier, the greater is the return of investment in R&D on performance. These results indicate that the advancement of economies towards the frontier or the best technological practices depends on policies that incorporate the influence of the 'development stage' in the outcome of this policy.

Suggested Citation

  • Leonardo Rocha Andrade & Leonardo Q. Cardenas & Fernando Dias Lopes & Fernando P. S. Oliveira & Kaio Cesar Fernandes, 2018. "The Impact of R&D Investments on Performance of Firms in Different Degrees of Proximity to the Technological Frontier," Economics Bulletin, AccessEcon, vol. 38(2), pages 1156-1170.
  • Handle: RePEc:ebl:ecbull:eb-18-00320
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    as
    1. Philippe Aghion & Diego Comin & Peter Howitt & Isabel Tecu, 2016. "When Does Domestic Savings Matter for Economic Growth?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(3), pages 381-407, August.
    2. Bronwyn Hall, 2004. "The financing of research and development," Chapters, in: Anthony Bartzokas & Sunil Mani (ed.), Financial Systems, Corporate Investment in Innovation, and Venture Capital, chapter 2, Edward Elgar Publishing.
    3. Florens, Jean-Pierre & Simar, Léopold & Van Keilegom, Ingrid, 2014. "Frontier estimation in nonparametric location-scale models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 456-470.
    4. Montresor, Sandro & Vezzani, Antonio, 2015. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," Research Policy, Elsevier, vol. 44(2), pages 381-393.
    5. Hölzl, Werner & Janger, Jürgen, 2014. "Distance to the frontier and the perception of innovation barriers across European countries," Research Policy, Elsevier, vol. 43(4), pages 707-725.
    6. Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.
    7. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    8. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    9. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    10. Castellani, Davide & Montresor, Sandro & Schubert, Torben & Vezzani, Antonio, 2017. "Multinationality, R&D and productivity: Evidence from the top R&D investors worldwide," International Business Review, Elsevier, vol. 26(3), pages 405-416.
    11. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2013. "Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(3), pages 300-328, April.
    12. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    13. Andreas Reinstaller & Fabian Unterlass, 2012. "Innovation at the Firm Level across Countries with Different Economic and Technological Capacity," WIFO Working Papers 436, WIFO.
    14. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    15. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    16. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2006. "Distance to Frontier, Selection, and Economic Growth," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 37-74, March.
    17. Philippe Aghion & Peter Howitt, 2009. "The Economics of Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012634, December.
    18. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    19. -, 2009. "Economic growth in the Caribbean," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38668, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    20. Alexander Coad, 2008. "Distance to Frontier and Appropriate Business Strategy," Papers on Economics and Evolution 2008-07, Philipps University Marburg, Department of Geography.
    21. Giovanni Dosi & Christopher Freeman & Richard Nelson & Gerarld Silverberg & Luc Soete (ed.), 1988. "Technical Change and Economic Theory," LEM Book Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number dosietal-1988, April.
    22. Alex Coad & Rekha Rao, 2010. "Firm growth and R&D expenditure," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(2), pages 127-145.
    23. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    24. Alex Coad & Rekha Rao, 2006. "Innovation and market value: a quantile regression analysis," Economics Bulletin, AccessEcon, vol. 15(13), pages 1-10.
    25. Alex Coad, 2011. "Appropriate business strategy for leaders and laggards -super-†," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(4), pages 1049-1079, August.
    26. Alex Coad & Rekha Rao, 2010. "R&D and firm growth rate variance," Economics Bulletin, AccessEcon, vol. 30(1), pages 702-708.
    27. Alex Coad & Rekha Rao, 2011. "The firm-level employment effects of innovations in high-tech US manufacturing industries," Journal of Evolutionary Economics, Springer, vol. 21(2), pages 255-283, May.
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    Cited by:

    1. Liu, Ming & Shan, Yanfei & Li, Yemei, 2023. "Heterogeneous Partners, R&D cooperation and corporate innovation capability: Evidence from Chinese manufacturing firms," Technology in Society, Elsevier, vol. 72(C).
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    3. Tang, Jianmin & Wang, Weimin, 2020. "Technological frontier, technical efficiency and the post-2000 productivity slowdown in Canada," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 12-25.

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    More about this item

    Keywords

    Research & Development; Technological Frontier; Investments; Efficiency.;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

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