IDEAS home Printed from https://ideas.repec.org/p/hhs/cesisp/0072.html
   My bibliography  Save this paper

Investment and Performance of Firms: Correlation or Causality?

Author

Listed:
  • Heshmati, Almas

    (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)

  • Lööf, Hans

    (http://www.infra.kth.se/cesis/cesis/index2.htm)

Abstract

The purpose of this paper is to provide empirical analysis of the two-way causal relationship between some important investment and performance indicators at the firm level, in particular controlling for differences in these relationships between two cohorts of small and middle-sized firms and large firms respectively. Investigated performance variables include sales, value added, profit, cash flow, capital structure and employment. A multivariate vector autoregressive approach is applied to a panel of Swedish firms observed between 1992 and 2000. In particular, an attempt is made to investigate whether causal relationships between R&D and firm performance are of a transitory nature and whether the causal relationships are similar for small and medium-sized and large firms. Results show evidence of some two way causal relationships, which are mainly transitory in character. Significant heterogeneity is observed in the firms’ investment and performance behavior by their size.

Suggested Citation

  • Heshmati, Almas & Lööf, Hans, 2006. "Investment and Performance of Firms: Correlation or Causality?," Working Paper Series in Economics and Institutions of Innovation 72, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  • Handle: RePEc:hhs:cesisp:0072
    as

    Download full text from publisher

    File URL: https://static.sys.kth.se/itm/wp/cesis/cesiswp72.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    2. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    3. Michele Cincera, 2003. "Financing constraints, fixed capital and R&D investment decisions of Belgian firms," Chapters, in: Paul Butzen & Catherine Fuss (ed.), Firms’ Investment and Finance Decisions, chapter 6, pages 129-152, Edward Elgar Publishing.
    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. Stoneman, Paul, 2011. "Soft Innovation: Economics, Product Aesthetics, and the Creative Industries," OUP Catalogue, Oxford University Press, number 9780199697021.
    2. Toth, Jozsef, 2015. "Value creation and capturing: the case of the Hungarian agri-food SMEs," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204229, Agricultural Economics Society.
    3. József TÓTH, 2013. "Trust €“ Networking €“ Innovation," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 7(1), pages 510-519, November.
    4. Jozsef Toth & Liesbeth Dries & Stefano Pascucci, 2012. "Open Innovation Characters of the Hungarian wine Industry," MIC 2012: Managing Transformation with Creativity; Proceedings of the 13th International Conference, Budapest, 22–24 November 2012 [Selected Papers],, University of Primorska, Faculty of Management Koper.
    5. Igor Stubelj, 2014. "Investment and Profits: Causality Analysis in Selected EU Countries," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 12(4 (Winter), pages 395-413.

    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. Huang, Chien-Yu & Ji, Lei, 2013. "Knowledge-intensive business services and economic growth with endogenous market structure," Journal of Macroeconomics, Elsevier, vol. 38(PA), pages 95-106.
    2. Iancu, Aurel, 2009. "Real Economic Convergence," Working Papers of National Institute for Economic Research 090104, Institutul National de Cercetari Economice (INCE).
    3. de Rassenfosse, Gaetan & van Pottelsberghe de la Potterie, Bruno, 2009. "A policy insight into the R&D-patent relationship," Research Policy, Elsevier, vol. 38(5), pages 779-792, June.
    4. Choi, Mincheol & Lee, Chang-Yang, 2021. "Technological diversification and R&D productivity: The moderating effects of knowledge spillovers and core-technology competence," Technovation, Elsevier, vol. 104(C).
    5. Nicolas van Zeebroeck & Bruno van Pottelsberghe de la Potterie, 2011. "Filing strategies and patent value," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(6), pages 539-561, February.
    6. Choi, Jin-Uk & Lee, Chang-Yang, 2022. "The differential effects of basic research on firm R&D productivity: The conditioning role of technological diversification," Technovation, Elsevier, vol. 118(C).
    7. Pascal Le Masson & Armand Hatchuel & Benoit Weil, 2010. "Modeling Novelty-Driven Industrial Dynamics with Design Functions: understanding the role of learning from the unknown," Post-Print hal-00696970, HAL.
    8. Ufuk Akcigit & William R. Kerr, 2018. "Growth through Heterogeneous Innovations," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1374-1443.
    9. Daron Acemoglu & Ufuk Akcigit & Harun Alp & Nicholas Bloom & William Kerr, 2018. "Innovation, Reallocation, and Growth," American Economic Review, American Economic Association, vol. 108(11), pages 3450-3491, November.
    10. Volker Grossmann & Thomas Steger, 2007. "Growth, Development, and Technological Change," CESifo Working Paper Series 1913, CESifo.
    11. José García-Quevedo & Gabriele Pellegrino & Marco Vivarelli, 2011. "The determinants of YICs’ R&D activity," Working Papers 2011/31, Institut d'Economia de Barcelona (IEB).
    12. Nikolay Chernyshev, 2017. "R&D Cyclicality and Composition Effects: A Unifying Approach," CDMA Working Paper Series 201705, Centre for Dynamic Macroeconomic Analysis.
    13. Julio Pindado & Valdoceu De Queiroz & Chabela De La Torre, 2010. "How Do Firm Characteristics Influence the Relationship between R&D and Firm Value?," Financial Management, Financial Management Association International, vol. 39(2), pages 757-782, June.
    14. repec:zbw:bofrdp:2013_028 is not listed on IDEAS
    15. García-Quevedo, José & Pellegrino, Gabriele & Vivarelli, Marco, 2011. "R&D Drivers in Young Innovative Companies," IZA Discussion Papers 6136, Institute of Labor Economics (IZA).
    16. Ufuk Akcigit & William R. Kerr, 2018. "Growth through Heterogeneous Innovations," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1374-1443.
    17. Torben Klarl, 2011. "A Spatial related Note on Entrepreneurship and Economic Growth," ERSA conference papers ersa11p278, European Regional Science Association.
    18. Jürgen Antony & Torben Klarl & Alfred Maußner, 2012. "Firm heterogeneity, credit constraints, and endogenous growth," Journal of Economics, Springer, vol. 105(3), pages 199-224, April.
    19. Almas Heshmati & Hyesung Kim, 2011. "The R&D and productivity relationship of Korean listed firms," Journal of Productivity Analysis, Springer, vol. 36(2), pages 125-142, October.
    20. García-Quevedo, José & Pellegrino, Gabriele & Vivarelli, Marco, 2014. "R&D drivers and age: Are young firms different?," Research Policy, Elsevier, vol. 43(9), pages 1544-1556.
    21. José García-Quevedo & Gabriele Pellegrino & Marco Vivarelli, 2011. "The determinants of YIc's R&D activity," Working Papers XREAP2011-20, Xarxa de Referència en Economia Aplicada (XREAP), revised Dec 2011.

    More about this item

    Keywords

    R&D investment; productivity growth; financial constraints; panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L19 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Other
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:cesisp:0072. 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: Vardan Hovsepyan (email available below). General contact details of provider: https://edirc.repec.org/data/cekthse.html .

    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.