Abstract
What determines the productivity of firms? Firm productivity is improved by technology or efficiency. Patents are one critical indicator of a firm’s technology or efficiency. In economics, production is generally described as a function of capital and labor called the production function. In this study, we analyze the relationship between patents and productivity through the production function. We classified firms by their capital and their number of employees and confirmed that patents are correlated with firm productivity that have large capital and many employees.
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References
X. Li, H. Chen, Z. Huang, M.C. Roco, Patent citation network in nanotechnology (1976–2004). J. Nanopart. Res. 9, 337–352 (2007)
S.B. Chang, K.K. Lai, S.M. Chang, Exploring technology diffusion and classification of business methods: using the patent citation network. Technol. Forecast. Soc. Change 76, 107–117 (2009)
J.C. Wang, C.H. Chiang, S.W. Lin, Network structure of innovation: can brokerage or closure predict patent quality? Scientometrics 84, 735–748 (2010)
B. Gress, Properties of the USPTO patent citation network: 1963–2002. World Pat. Inf. 32, 3–21 (2010)
S.W. Hung, A.P. Wang, Examining the small world phenomenon in the patent citation network: a case study of the radio frequency identification (RFID) network. Scientometrics 82, 121–134 (2010)
G. Silverberg, B. Verspagen, The size distribution of innovations revisited: an application of extreme value statistics to citation and value measures of patent significance. J. Econom. 139, 318–339 (2007)
D.R.J. O’Neale, S.C. Hendy, Power law distributions of patents as indicators of innovation. PROS ONE (2012). doi:10.1371/journal.pone.0049501
PATSTAT, http://www.epo.org/searching/subscription/raw/product-14-24.html
OECD Patent Statistics, http://www.oecd-ilibrary.org/science-and-technology/data/oecd-patent-statistics_patent-data-en
Bureau van Dijk Co., http://www.bvdinfo.com/Home.aspx
C.W. Cobb, P.H. Douglas, A theory of production. Am. Econ. Rev. 18, 139–165 (1928)
S. Fujimoto, A. Ishikawa, T. Mizuno, T. Watanabe, A new method for measuring tail exponents of firm size distributions. Econom.: Open-Access, Open-Assess. E-J. 5, 1–20 (2011)
A. Ishikawa, S. Fujimoto, T. Mizuno, T. Watanabe, The emergence of different tail exponents in the distributions of firm size variables. Phys. A 392, 2104–2113 (2013)
A. Ishikawa, S. Fujimoto, T. Mizuno, T. Watanabe, Analytical derivation of power laws in firm size variables from Gibratfs law and quasi-inversion symmetry: a geomorphological approach. J. Phys. Soc. Jpn. 83, 034802 (2014)
Acknowledgments
The authors thank the Saha Institute of Nuclear Physics, where this work was presented for “ECONOPHYS-KOLKATA VIII” as well as Prof. H. Aoyama for many useful discussions and comments about spurious correlations. This work was supported in part by a Grant-in-Aid for Scientific Research (C) (No. 24510212) from the Ministry of Education, Culture, Sports, Science and Technology, Japan. T. M. was supported in part by a Grant-in-Aid for Young Scientists (B) (No.24710156).
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Fujimoto, S., Ishikawa, A., Mizuno, T., Watanabe, T. (2015). Are Firms that Are Awarded More Patents More Productive?. In: Abergel, F., Aoyama, H., Chakrabarti, B., Chakraborti, A., Ghosh, A. (eds) Econophysics and Data Driven Modelling of Market Dynamics. New Economic Windows. Springer, Cham. https://doi.org/10.1007/978-3-319-08473-2_5
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DOI: https://doi.org/10.1007/978-3-319-08473-2_5
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