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The lag structure of the relationship between patenting and internal R&D revisited

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  • Wang, Ning
  • Hagedoorn, John
Abstract
The principal purpose of this study is to revisit the classic research question regarding the lag structure of the patents–R&D relationship through an examination of the impact of internal R&D on firm patenting in the context of the global pharmaceutical industry during 1986–2000. Our empirical analysis, using both a multiplicative distributed lag model and a dynamic linear feedback model, differs from previous work that examines the patents–R&D relationship in three aspects. First, our estimation results exhibit direct evidence on lagged R&D effects, with the first lag (t−1) of R&D being significant in all distributed lag specifications. Second, a U-shaped lag structure of the patents–R&D relationship is found in most estimations of the multiplicative distributed lag model, which suggests a potential long-run effect of internal R&D investments on firm patenting. Finally, the results from the dynamic linear feedback model coincide with those from the multiplicative distributed lag model, indicating not only lag effects from more recent R&D but also an overall long-run effect of internal R&D investments in the distant past on the knowledge production or innovation process of incumbent pharmaceutical firms.

Suggested Citation

  • Wang, Ning & Hagedoorn, John, 2014. "The lag structure of the relationship between patenting and internal R&D revisited," Research Policy, Elsevier, vol. 43(8), pages 1275-1285.
    • Handle: RePEc:eee:respol:v:43:y:2014:i:8:p:1275-1285
    DOI: 10.1016/j.respol.2014.03.010
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    1. Czarnitzki, Dirk & Kraft, Kornelius & Thorwarth, Susanne, 2009. "The knowledge production of 'R' and 'D'," Economics Letters, Elsevier, vol. 105(1), pages 141-143, October.
    2. Bruce Kogut & Udo Zander, 1992. "Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology," Organization Science, INFORMS, vol. 3(3), pages 383-397, August.
    3. Joseph Cook & Joseph Golec & John Vernon & George Pink, 2011. "Real Option Value and Path Dependence in Oncology Innovation," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 18(2), pages 225-238.
    4. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    5. Frank Windmeijer, 2002. "ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data," CeMMAP working papers CWP14/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. repec:fth:harver:1473 is not listed on IDEAS
    7. Ariél Pakes & Zvi Griliches, 1984. "Estimating Distributed Lags in Short Panels with an Application to the Specification of Depreciation Patterns and Capital Stock Constructs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(2), pages 243-262.
    8. Montalvo, Jose G, 1997. "GMM Estimation of Count-Panel-Data Models with Fixed Effects and Predetermined Instruments," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 82-89, January.
    9. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    10. Raghu Garud & Praveen R. Nayyar, 1994. "Transformative capacity: Continual structuring by intertemporal technology transfer," Strategic Management Journal, Wiley Blackwell, vol. 15(5), pages 365-385, June.
    11. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    12. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    13. Stephen Bond & Frank Windmeijer, 2005. "Reliable Inference For Gmm Estimators? Finite Sample Properties Of Alternative Test Procedures In Linear Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 24(1), pages 1-37.
    14. Constance E. Helfat, 1994. "Evolutionary Trajectories in Petroleum Firm R&D," Management Science, INFORMS, vol. 40(12), pages 1720-1747, December.
    15. John Bound & Clint Cummins & Zvi Griliches & Bronwyn H. Hall & Adam B. Jaffe, 1984. "Who Does R&D and Who Patents?," NBER Chapters, in: R&D, Patents, and Productivity, pages 21-54, National Bureau of Economic Research, Inc.
    16. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    17. Adam Jaffe & Manuel Trajtenberg, 1999. "International Knowledge Flows: Evidence From Patent Citations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 105-136.
    18. Wooldridge, Jeffrey M., 1997. "Multiplicative Panel Data Models Without the Strict Exogeneity Assumption," Econometric Theory, Cambridge University Press, vol. 13(5), pages 667-678, October.
    19. Gautam Ahuja & Riitta Katila, 2001. "Technological acquisitions and the innovation performance of acquiring firms: a longitudinal study," Strategic Management Journal, Wiley Blackwell, vol. 22(3), pages 197-220, March.
    20. Helfat, C.E. & Raubitschek, R.S., 2000. "Product Sequencing: Co-Evolution of Knowledge, Capabilities and Products," Papers 00-1, U.S. Department of Justice - Antitrust Division.
    21. Rebecca Henderson & Iain Cockburn, 1994. "Measuring Competence? Exploring Firm Effects in Pharmaceutical Research," Strategic Management Journal, Wiley Blackwell, vol. 15(S1), pages 63-84, December.
    22. Michael R. Darby & Lynne G. Zucker, 2003. "Growing by Leaps and Inches: Creative Destruction, Real Cost Reduction, and Inching Up," Economic Inquiry, Western Economic Association International, vol. 41(1), pages 1-19, January.
    23. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-344, March.
    24. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1987. "Appropriating the Returns from Industrial Research and Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(3, Specia), pages 783-832.
    25. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
    26. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    27. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    28. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-283, June.
    29. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    30. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
    31. Rita Gunther McGrath & Atul Nerkar, 2004. "Real options reasoning and a new look at the R&D investment strategies of pharmaceutical firms," Strategic Management Journal, Wiley Blackwell, vol. 25(1), pages 1-21, January.
    32. Jie Q. Guo & Pravin K. Trivedi, 2002. "Flexible Parametric Models for Long‐tailed Patent Count Distributions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(1), pages 63-82, February.
    33. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    34. Cincera, Michele, 1997. "Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Models for Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 265-280, May-June.
    35. Hall, Andrew & Bockett, Geoffrey & Taylor, Sarah & Sivamohan, M. V. K . & Clark, Norman, 2001. "Why Research Partnerships Really Matter: Innovation Theory, Institutional Arrangements and Implications for Developing New Technology for the Poor," World Development, Elsevier, vol. 29(5), pages 783-797, May.
    36. Ariel Pakes & Zvi Griliches, 1984. "Patents and R&D at the Firm Level: A First Look," NBER Chapters, in: R&D, Patents, and Productivity, pages 55-72, National Bureau of Economic Research, Inc.
    37. Atul Nerkar, 2003. "Old Is Gold? The Value of Temporal Exploration in the Creation of New Knowledge," Management Science, INFORMS, vol. 49(2), pages 211-229, February.
    38. Martin, Xavier & Mitchell, Will, 1998. "The influence of local search and performance heuristics on new design introduction in a new product market," Research Policy, Elsevier, vol. 26(7-8), pages 753-771, April.
    39. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-263, May-June.
    40. Chamberlain, Gary, 1992. "Sequential Moment Restrictions in Panel Data: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 20-26, January.
    41. Suzanne Scotchmer, 1991. "Standing on the Shoulders of Giants: Cumulative Research and the Patent Law," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 29-41, Winter.
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