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Performance evaluation of R&D active firms

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  • Khoshnevis, Pegah
  • Teirlinck, Peter

Abstract

This study focuses on the allocation of R&D resources in R&D active firms. We utilize the input oriented constant (CRS) and variable (VRS) returns to scale data efficiency analysis models to evaluate the efficiency of firms. Scale efficiency and the respective types of returns to scale have been examined by using DEA models with ratio inputs and outputs. We pay attention to the global frontier and the firm's own sector and size frontiers. We highlight the sources of inefficiency and suggestions are proposed to improve efficiencies of R&D resources allocation. The analysis is based on a representative set of (quasi-) permanent R&D active firms in Belgium. We consider R&D related inputs in the year 2009 and include firm performance in terms of turnover and net added value per employee in a four year time span. The paper highlights that on average, R&D active firms suffer from both technical inefficiency and scale size problems since the average of the CRS and the VRS efficiency are low, and also the average of scale efficiency is modest. According to firm size, small-sized firms suffer from scale and technical inefficiency. Medium-sized firms endure scale inefficiency rather than technical inefficiency. Large firms present a higher average scale efficiency and technical efficiency. According to sector of activity, firms in specialized supplier industries tend to outperform other firms in terms of average scale efficiency and average technical efficiency. Firms in science based industries are found to underperform on average in terms of VRS and scale efficiency.

Suggested Citation

  • Khoshnevis, Pegah & Teirlinck, Peter, 2018. "Performance evaluation of R&D active firms," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 16-28.
    • Handle: RePEc:eee:soceps:v:61:y:2018:i:c:p:16-28
    DOI: 10.1016/j.seps.2017.01.005
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    1. Banker, Rajiv D. & Thrall, R. M., 1992. "Estimation of returns to scale using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 62(1), pages 74-84, October.
    2. Feller, Irwin, 1990. "Universities as engines of R&D-based economic growth: They think they can," Research Policy, Elsevier, vol. 19(4), pages 335-348, August.
    3. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87, World Scientific Publishing Co. Pte. Ltd..
    4. Cherchye, L. & Abeele, P. Vanden, 2005. "On research efficiency: A micro-analysis of Dutch university research in Economics and Business Management," Research Policy, Elsevier, vol. 34(4), pages 495-516, May.
    5. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    6. Valentina Meliciani, 2000. "The relationship between R&D, investment and patents: a panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1429-1437.
    7. repec:adr:anecst:y:1998:i:49-50:p:05 is not listed on IDEAS
    8. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    9. Zvi Griliches, 1998. "Productivity, R&D, and Basic Research at the Firm Level in the 1970s," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 82-99, National Bureau of Economic Research, Inc.
    10. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    11. Hatami-Marbini, Adel & Emrouznejad, Ali & Tavana, Madjid, 2011. "A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making," European Journal of Operational Research, Elsevier, vol. 214(3), pages 457-472, November.
    12. Alfred Kleinknecht & Kees Van Montfort & Erik Brouwer, 2002. "The Non-Trivial Choice between Innovation Indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(2), pages 109-121.
    13. 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.
    14. Wei Meng & Zhenhua Hu & Wenbin Liu, 2006. "Efficiency evaluation of basic research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 85-101, October.
    15. Widiarto, Indra & Emrouznejad, Ali, 2015. "Social and financial efficiency of Islamic microfinance institutions: A Data Envelopment Analysis application," Socio-Economic Planning Sciences, Elsevier, vol. 50(C), pages 1-17.
    16. Boris Lokshin & René Belderbos & Martin Carree, 2008. "The Productivity Effects of Internal and External R&D: Evidence from a Dynamic Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(3), pages 399-413, June.
    17. Cohen, Wesley M & Klepper, Steven, 1996. "Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 232-243, May.
    18. Cordero, Rene, 1990. "The measurement of innovation performance in the firm: An overview," Research Policy, Elsevier, vol. 19(2), pages 185-192, April.
    19. Belderbos, Rene & Carree, Martin & Lokshin, Boris, 2004. "Cooperative R&D and firm performance," Research Policy, Elsevier, vol. 33(10), pages 1477-1492, December.
    20. Liu, John S. & Lu, Wen-Min, 2010. "DEA and ranking with the network-based approach: a case of R&D performance," Omega, Elsevier, vol. 38(6), pages 453-464, December.
    21. Zhu, Joe, 2000. "Multi-factor performance measure model with an application to Fortune 500 companies," European Journal of Operational Research, Elsevier, vol. 123(1), pages 105-124, May.
    22. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    23. W. Cooper & Shanling Li & L. Seiford & Kaoru Tone & R. Thrall & J. Zhu, 2001. "Sensitivity and Stability Analysis in DEA: Some Recent Developments," Journal of Productivity Analysis, Springer, vol. 15(3), pages 217-246, May.
    24. Jacques Mairesse & Pierre Mohnen, 2001. "To Be or Not To Be Innovative: An Exercise in Measurement," NBER Working Papers 8644, National Bureau of Economic Research, Inc.
    25. Scherer, F. M., 1983. "The propensity to patent," International Journal of Industrial Organization, Elsevier, vol. 1(1), pages 107-128, March.
    26. Olesen, O. B. & Petersen, N. C., 1995. "Incorporating quality into data envelopment analysis: a stochastic dominance approach," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 117-135, April.
    27. Olesen, Ole Bent & Petersen, Niels Christian & Podinovski, Victor V., 2015. "Efficiency analysis with ratio measures," European Journal of Operational Research, Elsevier, vol. 245(2), pages 446-462.
    28. Dominique Guellec & Bruno Van Pottelsberghe de la Potterie, 2004. "From R&D to Productivity Growth: Do the Institutional Settings and the Source of Funds of R&D Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 353-378, July.
    29. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    30. Alexander Cotte Poveda, 2012. "Violence And Economic Development In Colombian Cities: A Dynamic Panel Data Analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 24(7), pages 809-827, October.
    31. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    32. Lee, Hakyeon & Park, Yongtae & Choi, Hoogon, 2009. "Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach," European Journal of Operational Research, Elsevier, vol. 196(3), pages 847-855, August.
    33. Belderbos, Rene & Carree, Martin & Lokshin, Boris, 2004. "Cooperative R&D and firm performance," Research Policy, Elsevier, vol. 33(10), pages 1477-1492, December.
    34. Mansfield, Edwin, 1988. "Industrial R&D in Japan and the United States: A Comparative Study," American Economic Review, American Economic Association, vol. 78(2), pages 223-228, May.
    35. Balaji S. Chakravarthy, 1986. "Measuring strategic performance," Strategic Management Journal, Wiley Blackwell, vol. 7(5), pages 437-458, September.
    36. Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
    37. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    38. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2013. "Dealing with the Endogeneity Problem in Data Envelopment Analysis," MPRA Paper 47475, University Library of Munich, Germany.
    39. Timmer, Marcel P., 2003. "Technological development and rates of return to investment in a catching-up economy: the case of South Korea," Structural Change and Economic Dynamics, Elsevier, vol. 14(4), pages 405-425, December.
    40. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-873, December.
    41. Goto, Akira & Suzuki, Kazuyuki, 1989. "R&D Capital, Rate of Return on R&D Investment and Spillover of R&D in Japanese Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 555-564, November.
    42. Riahi-Belkaoui, Ahmed, 1999. "Net Value Added and Earnings Determination," Review of Quantitative Finance and Accounting, Springer, vol. 13(4), pages 393-399, December.
    43. Guan Jiancheng & Wang Junxia, 2004. "Evaluation and interpretation of knowledge production efficiency," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 131-155, January.
    44. Korhonen, Pekka & Tainio, Risto & Wallenius, Jyrki, 2001. "Value efficiency analysis of academic research," European Journal of Operational Research, Elsevier, vol. 130(1), pages 121-132, April.
    45. Spithoven, André & Teirlinck, Peter, 2015. "Internal capabilities, network resources and appropriation mechanisms as determinants of R&D outsourcing," Research Policy, Elsevier, vol. 44(3), pages 711-725.
    46. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    47. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    48. Joe Zhu & Zhao-Han Shen, 1995. "A discussion of testing DMUs' returns to scale," European Journal of Operational Research, Elsevier, vol. 81(3), pages 590-596, March.
    49. Souitaris, Vangelis, 2002. "Technological trajectories as moderators of firm-level determinants of innovation," Research Policy, Elsevier, vol. 31(6), pages 877-898, August.
    50. James D. Adams & Zvi Griliches, 1998. "Research Productivity in a System of Universities," Annals of Economics and Statistics, GENES, issue 49-50, pages 127-162.
    51. O. Olesen & N. Petersen, 2009. "Target and technical efficiency in DEA: controlling for environmental characteristics," Journal of Productivity Analysis, Springer, vol. 32(1), pages 27-40, August.
    52. Seema Sharma & V. J. Thomas, 2008. "Inter-country R&D efficiency analysis: An application of data envelopment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 483-501, September.
    53. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    54. Hung, Shiu-Wan & Wang, An-Pang, 2012. "Entrepreneurs with glamour? DEA performance characterization of high-tech and older-established industries," Economic Modelling, Elsevier, vol. 29(4), pages 1146-1153.
    55. C S Sarrico & R G Dyson, 2000. "Using DEA for planning in UK universities—an institutional perspective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(7), pages 789-800, July.
    56. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    57. Zhang, Anming & Zhang, Yimin & Zhao, Ronald, 2003. "A study of the R&D efficiency and productivity of Chinese firms," Journal of Comparative Economics, Elsevier, vol. 31(3), pages 444-464, September.
    58. García-Valderrama, Teresa & Mulero-Mendigorri, Eva & Revuelta-Bordoy, Daniel, 2009. "Relating the perspectives of the balanced scorecard for R&D by means of DEA," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1177-1189, August.
    59. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
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