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Development of the Patent-Based Researches on Innovation Processes: Analytic Review

Author

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  • Kravtsov, A.

    (Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences, Moscow, Russia)

Abstract

The article provides a review of the key research papers and articles dedicated to studying patents as economic category, as well as scientific publications using patent data in quantitative economic analysis. The author defines the following primary areas of research: the economic value of patents, sectoral studies and international comparisons. Findings obtained by the main quantitative methods, used in patent statistics studies are analyzed. It is demonstrated that for the last 60 years patents had been used in economic researches at the firm level, as well as in sectoral and national studies, including intersectoral and international comparisons. In methodology of the economic research on the base of patent data a shift took place from the simple quantitative methods to the more sophisticated ones, notably to the regression analysis. Some specialized quantitative methods used in such research papers alongside with regression analysis and in addition to it are identified. In particular gravity model, Cox proportional hazard model, Poisson regression model and CDM model were involved in patent data studies. It was found out that the some modern publications on that subject, using advanced quantitative methods, contributed to the gradual coping with persistent problems concerning qualitative assessment of the patent data.

Suggested Citation

  • Kravtsov, A., 2017. "Development of the Patent-Based Researches on Innovation Processes: Analytic Review," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 144-167.
  • Handle: RePEc:nea:journl:y:2017:i:35:p:144-167
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    References listed on IDEAS

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    1. 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.
    2. Walsh, Vivien, 1984. "Invention and innovation in the chemical industry: Demand-pull or discovery-push?," Research Policy, Elsevier, vol. 13(4), pages 211-234, August.
    3. Ernst, Holger, 2001. "Patent applications and subsequent changes of performance: evidence from time-series cross-section analyses on the firm level," Research Policy, Elsevier, vol. 30(1), pages 143-157, January.
    4. Kim, Bongsun & Kim, Eonsoo & Miller, Douglas J. & Mahoney, Joseph T., 2016. "The impact of the timing of patents on innovation performance," Research Policy, Elsevier, vol. 45(4), pages 914-928.
    5. Marin, Giovanni, 2014. "Do eco-innovations harm productivity growth through crowding out? Results of an extended CDM model for Italy," Research Policy, Elsevier, vol. 43(2), pages 301-317.
    6. Jaffe, Adam B, 1989. "Real Effects of Academic Research," American Economic Review, American Economic Association, vol. 79(5), pages 957-970, December.
    7. Li, Xibao, 2012. "Behind the recent surge of Chinese patenting: An institutional view," Research Policy, Elsevier, vol. 41(1), pages 236-249.
    8. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    9. 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.
    10. Agrawal, Ajay & Kapur, Devesh & McHale, John, 2008. "How do spatial and social proximity influence knowledge flows? Evidence from patent data," Journal of Urban Economics, Elsevier, vol. 64(2), pages 258-269, September.
    11. Shyama V. Ramani & Mhamed-Ali El-Aroui & Myriam Carrère, 2008. "On estimating a knowledge production function at the firm and sectoral level using patent statistics," Post-Print hal-00365396, HAL.
    12. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    13. Fernandez Donoso, Jose, 2014. "Do complex inventions need less international patent protection?," Economics Letters, Elsevier, vol. 125(2), pages 278-281.
    14. G. Teplykh., 2014. "Modeling of Firms Innovation Activity within the CDM Approach," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 7.
    15. Picci, Lucio, 2010. "The internationalization of inventive activity: A gravity model using patent data," Research Policy, Elsevier, vol. 39(8), pages 1070-1081, October.
    16. Hirschey, Mark & Richardson, Vernon J & Scholz, Susan, 2001. "Value Relevance of Nonfinancial Information: The Case of Patent Data," Review of Quantitative Finance and Accounting, Springer, vol. 17(3), pages 223-235, November.
    17. Wagner, Stefan & Wakeman, Simon, 2016. "What do patent-based measures tell us about product commercialization? Evidence from the pharmaceutical industry," Research Policy, Elsevier, vol. 45(5), pages 1091-1102.
    18. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    19. Bergek, Anna & Bruzelius, Maria, 2010. "Are patents with multiple inventors from different countries a good indicator of international R&D collaboration? The case of ABB," Research Policy, Elsevier, vol. 39(10), pages 1321-1334, December.
    20. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    21. 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.
    22. Carpenter, Mark P. & Narin, Francis & Woolf, Patricia, 1981. "Citation rates to technologically important patents," World Patent Information, Elsevier, vol. 3(4), pages 160-163, October.
    23. Basberg, Bjorn L., 1982. "Technological change in the Norwegian whaling industry : A case-study in the use of patent-statistics as a technology indicator," Research Policy, Elsevier, vol. 11(3), pages 163-171, June.
    24. M. V. Posner, 1961. "International Trade And Technical Change," Oxford Economic Papers, Oxford University Press, vol. 13(3), pages 323-341.
    25. Ramani, Shyama V. & El-Aroui, Mhamed-Ali & Carrère, Myriam, 2008. "On estimating a knowledge production function at the firm and sector level using patent statistics," Research Policy, Elsevier, vol. 37(9), pages 1568-1578, October.
    26. Jacobsson, Staffan & Oskarsson, Christer & Philipson, Joakim, 1996. "Indicators of technological activities -- comparing educational, patent and R & D statistics in the case of Sweden," Research Policy, Elsevier, vol. 25(4), pages 573-585, June.
    27. Jung, Sungchang & Imm, Keun-Young, 2002. "The patent activities of Korea and Taiwan: a comparative case study of patent statistics," World Patent Information, Elsevier, vol. 24(4), pages 303-311, December.
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    More about this item

    Keywords

    patent statistics; innovation economy; research methodology; correlation analysis; regression-based analyses;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • N01 - Economic History - - General - - - Development of the Discipline: Historiographical; Sources and Methods
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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