IDEAS home Printed from https://ideas.repec.org/h/zbw/entr20/224720.html
   My bibliography  Save this book chapter

Business Spending on Research and Development and its Relationship to Invention and Innovation

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020

Author

Listed:
  • Hunady, Jan
  • Pisar, Peter

Abstract

The paper deals with the problem of business spending on research and development and their relation to innovation activities. It is focused on R&D in the business sector as a crucial part of the innovation system. R&D expenditure can be seen as the main precondition of successful innovation. However, the successful transformation of R&D investment into invention or innovation cannot be guaranteed. Our main aim is to examine the relationship between business R&D expenditure, invention and innovation in the long-run. We also examine the level of business R&D expenditure in EU countries. The long-run causalities have been tested by using panel cointegration approach on the macro-level panel data for EU countries. The scope of inventions is proxied by the share of firms introducing product or service innovation as well as the number of patents registered. Based on our results, there appears to be a positive causal effect of business R&D expenditure on patenting in the long-run.

Suggested Citation

  • Hunady, Jan & Pisar, Peter, 2020. "Business Spending on Research and Development and its Relationship to Invention and Innovation," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 542-552, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    • Handle: RePEc:zbw:entr20:224720
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/224720/1/51-ENT-2020-Hunady-542-552.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Huňady, Ján & Pisar, Peter & Durcekova, Ina, 2019. "Business R&D Expenditure in the ICT Sector: Effects on Business Performance Indicators," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, pages 519-530, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    3. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    4. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Herrera, Liliana & Muñoz-Doyague, Maria Felisa & Nieto, Mariano, 2010. "Mobility of public researchers, scientific knowledge transfer, and the firm's innovation process," Journal of Business Research, Elsevier, vol. 63(5), pages 510-518, May.
    7. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    8. Bronzini, Raffaello & Piselli, Paolo, 2016. "The impact of R&D subsidies on firm innovation," Research Policy, Elsevier, vol. 45(2), pages 442-457.
    9. Peter C. B. Phillips & Hyungsik R. Moon, 1999. "Linear Regression Limit Theory for Nonstationary Panel Data," Econometrica, Econometric Society, vol. 67(5), pages 1057-1112, September.
    10. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    11. Pelin Demirel & Mariana Mazzucato, 2012. "Innovation and Firm Growth: Is R&D Worth It?," Industry and Innovation, Taylor & Francis Journals, vol. 19(1), pages 45-62, January.
    12. Carine Peeters & Bruno Pottelsberghe de la Potterie, 2007. "Innovation strategy and the patenting behavior of firms," Springer Books, in: Uwe Cantner & Franco Malerba (ed.), Innovation, Industrial Dynamics and Structural Transformation, pages 345-371, Springer.
    13. Stefano Breschi & Francesco Lissoni & Fabio Montobbio, 2005. "From Publishing to Patenting : do Productive Scientists Turn into Academi Inventors ?," Revue d'Économie Industrielle, Programme National Persée, vol. 110(1), pages 75-102.
    14. Kao-Yi Shen & Min-Ren Yan & Gwo-Hshiung Tzeng, 2017. "Exploring R&D Influences on Financial Performance for Business Sustainability Considering Dual Profitability Objectives," Sustainability, MDPI, vol. 9(11), pages 1-21, October.
    15. Pieri, Fabio & Vecchi, Michela & Venturini, Francesco, 2018. "Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach," Research Policy, Elsevier, vol. 47(9), pages 1842-1852.
    16. Wang, David Han-Min & Yu, Tiffany Hui-Kuang & Liu, Hong-Quan, 2013. "Heterogeneous effect of high-tech industrial R&D spending on economic growth," Journal of Business Research, Elsevier, vol. 66(10), pages 1990-1993.
    17. Hasan, Iftekhar & Tucci, Christopher L., 2010. "The innovation-economic growth nexus: Global evidence," Research Policy, Elsevier, vol. 39(10), pages 1264-1276, December.
    18. Joan Penner‐Hahn & J. Myles Shaver, 2005. "Does international research and development increase patent output? An analysis of Japanese pharmaceutical firms," Strategic Management Journal, Wiley Blackwell, vol. 26(2), pages 121-140, February.
    19. Carine Peeters & Bruno Van Pottelsberghe, 2006. "Complex innovation strategies and patenting behaviour," ULB Institutional Repository 2013/9051, ULB -- Universite Libre de Bruxelles.
    20. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    21. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    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. Ján Huòady & Peter Pisár, 2021. "Innovation and invention in the EU business sector: the role of the R&D expenditures," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(2), pages 168-188.
    2. Ján Huòady & Peter Pisár, 2021. "Innovation and invention in the EU business sector: the role of the R&D expenditures," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(2), pages 168-188.

    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. Ján Huòady & Peter Pisár, 2021. "Innovation and invention in the EU business sector: the role of the R&D expenditures," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(2), pages 168-188.
    2. Ján Huòady & Peter Pisár, 2021. "Innovation and invention in the EU business sector: the role of the R&D expenditures," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(2), pages 168-188.
    3. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.
    4. Pedro Teles & Harald Uhlig & João Valle e Azevedo, 2016. "Is Quantity Theory Still Alive?," Economic Journal, Royal Economic Society, vol. 126(591), pages 442-464, March.
    5. Jacobo Alberto Campo Robledo, 2012. "Impacto De Las Patentes Sobre El Crecimiento Económico: Un Modelo Panel Cointegrado [Impact of Patents on Economic Growth: A Cointegrated Panel Data Model]," Working Papers hal-00744361, HAL.
    6. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    7. Jacobo Campo Robledo & Juan Pablo Herrera Saavedra, 2016. "Patentes y crecimiento económico: ¿innovación de residentes o no residentes?," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 76, February.
    8. Jacobo Campo Robledo & Henry Antonio Mendoza Tolosa, 2014. "Gasto Público y Crecimiento Económico regional en Colombia (1984 - 2012)," Documentos de Trabajo 12425, Universidad Católica de Colombia.
    9. Pedro M. G. Martins, 2010. "Aid Absorption and Spending in Africa: A Panel Cointegration Approach," Working Paper Series 1010, Department of Economics, University of Sussex Business School.
    10. Jacobo Campo Robledo, 2012. "Impacto de las patentes sobre el crecimiento económico: un modelo panel cointegrado 1990-2010," Revista Equidad y Desarrollo, Universidad de la Salle, October.
    11. BADALYAN, Gohar & HERZFELD, Thomas & RAJCANIOVA, Miroslava, 2014. "Transport Infrastructure And Economic Growth: Panel Data Approach For Armenia, Georgia And Turkey," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 17(2), pages 1-10, October.
    12. Nagmi Moftah Aimer, 2020. "Renewable energy consumption, financial development and economic growth: Evidence from panel data for the Middle East and North African countries," Economics Bulletin, AccessEcon, vol. 40(3), pages 2058-2072.
    13. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Oil prices, nuclear energy consumption, and economic growth: New evidence using a heterogeneous panel analysis," Energy Policy, Elsevier, vol. 39(4), pages 2111-2120, April.
    14. Mendoza, Miguel Ángel, 2014. "Panorama preliminar de los subsidios y los impuestos a las gasolinas y diésel en los países de América Latina," Documentos de Proyectos 37431, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    15. Kuan‐Min Wang, 2010. "Monetary Policy Impulses and Retail Interest Rate Pass‐Through in Asian Banking Markets," Asian Economic Journal, East Asian Economic Association, vol. 24(3), pages 253-287, September.
    16. Valentina-Ioana Mera & Monica Ioana Pop Silaghi & Camélia Turcu, 2020. "Economic Sentiments and Money Demand Stability in the CEECs," Open Economies Review, Springer, vol. 31(2), pages 343-369, April.
    17. El-Shazly, Alaa, 2013. "Electricity demand analysis and forecasting: A panel cointegration approach," Energy Economics, Elsevier, vol. 40(C), pages 251-258.
    18. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    19. Juan Carlos Aquino & N. R. Ramírez-Rondán, 2020. "Estimating factor shares from nonstationary panel data," Empirical Economics, Springer, vol. 58(5), pages 2353-2380, May.
    20. In Choi, 2013. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

    More about this item

    Keywords

    innovation; invention; business R&D expenditure; business innovation; patenting;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    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:zbw:entr20:224720. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.entrenova.org/ .

    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.