IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-18-00320.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2018/Volume38/EB-18-V38-I2-P111.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Philippe Aghion & Peter Howitt, 2009. "The Economics of Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012634, April.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Kancs, d’Artis & Siliverstovs, Boriss, 2016. "R&D and non-linear productivity growth," Research Policy, Elsevier, vol. 45(3), pages 634-646.
    12. 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.
    13. 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.
    14. 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.
    15. Andreas Reinstaller & Fabian Unterlass, 2012. "Innovation at the Firm Level across Countries with Different Economic and Technological Capacity," WIFO Working Papers 436, WIFO.
    16. 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.
    17. Alexander Coad, 2008. "Distance to Frontier and Appropriate Business Strategy," Papers on Economics and Evolution 2008-07, Philipps University Marburg, Department of Geography.
    18. 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, November.
    19. 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.
    20. 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.
    21. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    22. 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.
    23. 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.
    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 & 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.
    26. -, 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).
    27. Alex Coad & Rekha Rao, 2010. "R&D and firm growth rate variance," Economics Bulletin, AccessEcon, vol. 30(1), pages 702-708.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).
    2. Camille Loir & Bertrand Groslambert, 2023. "The impact of innovation on the profitability of the biotech industry," Economics Bulletin, AccessEcon, vol. 43(3), pages 1286-1297.
    3. Leonardo A. Rocha & Denis Vieira Sarmento & Carlos Alano S. Almeida & Napiê G.A. Silva, 2020. "Spillover, public investment and innovation: the impact of public investment in R&D on business innovation," Economics Bulletin, AccessEcon, vol. 40(3), pages 2344-2360.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlos Alano Soares de Almeida & Jansen Maia Del Corso & Leonardo Andrade Rocha & Wesley Vieira da Silva & Claudimar Pereira da Veiga, 2019. "Innovation and Performance: The Impact of Investments in R&D According to the Different Levels of Productivity of Firms," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1-21, August.
    2. Leonardo A. Rocha & Denis Vieira Sarmento & Carlos Alano S. Almeida & Napiê G.A. Silva, 2020. "Spillover, public investment and innovation: the impact of public investment in R&D on business innovation," Economics Bulletin, AccessEcon, vol. 40(3), pages 2344-2360.
    3. Leonardo A. Rocha & Maria Ester S. Dal Poz & Patrícia V.P.S. Lima & Ahmad S. Khan & Napiê G. A. Silva, 2019. "Corruption, bureaucracy and other institutional failures: the “cancer†of innovation and development," Economics Bulletin, AccessEcon, vol. 39(3), pages 1740-1754.
    4. Leonardo Andrade Rocha & Ahmad Saeed Khan & Patrícia Verônica Pinheiro Sales Lima & Maria Ester Dal Poz & Fernando Porfirio Soares De Oliveira, 2016. "Corrupção, Burocracia E Outras Falhas Institucionais: O “Câncer” Da Inovação E Do Desenvolvimento," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 090, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Lee, Dongyeol, 2016. "Role of R&D in the productivity growth of Korean industries: Technology gap and business cycle," Journal of Asian Economics, Elsevier, vol. 45(C), pages 31-45.
    6. Bessonova, Evguenia & Gonchar, Ksenia, 2019. "How the innovation-competition link is shaped by technology distance in a high-barrier catch-up economy," Technovation, Elsevier, vol. 86, pages 15-32.
    7. Philippe Aghion & Peter Howitt & Susanne Prantl, 2015. "Patent rights, product market reforms, and innovation," Journal of Economic Growth, Springer, vol. 20(3), pages 223-262, September.
    8. 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.
    9. Sakari Lähdemäki & Eero Lehto & Eero Mäkynen, 2018. "The Role of Natural Resources and Geography for Productivity in Developed Countries," Working Papers 320, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    10. Riccardo Leoncini & Alberto Marzucchi & Sandro Montresor & Francesco Rentocchini & Ugo Rizzo, 2019. "‘Better late than never’: the interplay between green technology and age for firm growth," Small Business Economics, Springer, vol. 52(4), pages 891-904, April.
    11. Aghion, Philippe & Akcigit, Ufuk & Howitt, Peter, 2014. "What Do We Learn From Schumpeterian Growth Theory?," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 0, pages 515-563, Elsevier.
    12. Carmen Díaz-Roldán & María del Carmen Ramos-Herrera, 2021. "Innovations and ICT: Do They Favour Economic Growth and Environmental Quality?," Energies, MDPI, vol. 14(5), pages 1-17, March.
    13. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    14. Keiichi Kishi, 2015. "Dynamic analysis of wage inequality and creative destruction," Journal of Economics, Springer, vol. 115(1), pages 1-23, May.
    15. A. Auer, Raphael & Chaney, Thomas & Sauré, Philip, 2018. "Quality pricing-to-market," Journal of International Economics, Elsevier, vol. 110(C), pages 87-102.
    16. Дементьев В.Е., 2013. "Структурные Факторы Технологического Развития," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(4), pages 33-46, октябрь.
    17. Magnus Henrekson & Dan Johansson & Johan Karlsson, 2024. "To Be or Not to Be: The Entrepreneur in Neo-Schumpeterian Growth Theory," Entrepreneurship Theory and Practice, , vol. 48(1), pages 104-140, January.
    18. Miomir Jovanović & Ljiljana Kašćelan & Aleksandra Despotović & Vladimir Kašćelan, 2015. "The Impact of Agro-Economic Factors on GHG Emissions: Evidence from European Developing and Advanced Economies," Sustainability, MDPI, vol. 7(12), pages 1-21, December.
    19. SooGeun Ahn & Jeewhan Yoon & YoungJun Kim, 2018. "The innovation activities of small and medium-sized enterprises and their growth: quantile regression analysis and structural equation modeling," The Journal of Technology Transfer, Springer, vol. 43(2), pages 316-342, April.
    20. Diego F. Grijalva & Valeria Ayala & Paúl A. Ponce & Yelitza Pontón, 2018. "Does firm innovation lead to high growth? Evidence from Ecuadorian firms," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(75), pages 697-726, May.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-18-00320. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.