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Articles

Innovation policy and firm patent value: evidence from China

, , , &
Pages 2615-2644 | Received 16 May 2021, Accepted 16 Aug 2021, Published online: 03 Sep 2021

References

  • Ahuja, G., & Katila, R. (2001). Technological acquisitions and the innovation performance of acquiring firms: A longitudinal study. Strategic Management Journal, 22(3), 197–220. https://doi.org/10.1002/smj.157
  • Asheim, B., Boschma, R., & Cooke, P. (2011). Constructing regional advantage: Platform policies based on related variety and differentiated knowledge bases. Regional Studies, 45(7), 893–904. https://doi.org/10.1080/00343404.2010.543126
  • Audretsch, D. B., Bonte, W., & Keilbach, M. (2008). Entrepreneurship capital and its impact on knowledge diffusion and economic performance. Journal of Business Venturing, 23(6), 687–698. https://doi.org/10.1016/j.jbusvent.2008.01.006
  • Beaudry, C., & Schiffauerova, A. (2011). Impacts of collaboration and network indicators on patent quality: The case of Canadian nanotechnology innovation. European Management Journal, 29(5), 362–376. https://doi.org/10.1016/j.emj.2011.03.001
  • Bellamy, M. A., Ghosh, S., & Hora, M. (2014). The influence of supply network structure on firm innovation. Journal of Operations Management, 32(6), 357–373. https://doi.org/10.1016/j.jom.2014.06.004
  • Beneito, P. (2006). The innovative performance of in-house and contracted R&D in terms of patents and utility models. Research Policy, 35(4), 502–517. https://doi.org/10.1016/j.respol.2006.01.007
  • Bertrand, M., Duflo, E., & Mullainathan, S. (2004). How much should we trust differences-in-differences estimates? The Quarterly Journal of Economics, 119(1), 249–275. https://doi.org/10.1162/003355304772839588
  • Bessen, J. (2008). The value of U.S. patents by owner and patent characteristics. Research Policy, 37(5), 932–945. https://doi.org/10.1016/j.respol.2008.02.005
  • Bessen, J. (2009). Estimates of patent rents from firm market value - ScienceDirect. Research Policy, 38(10), 1604–1616. https://doi.org/10.1016/j.respol.2009.09.014
  • Blanco, F. A., Delgado, F. J., & Presno, M. J. (2020). R&D expenditure in the EU: Convergence or divergence? Economic research-Ekonomska Istraživanja, 33(1), 1685–1710. https://doi.org/10.1080/1331677X.2020.1756371
  • Breschi, S., & Lissoni, F. (2009). Mobility of skilled workers and co-invention networks: An anatomy of localized knowledge flows. Journal of Economic Geography, 9(4), 439–468. https://doi.org/10.1093/jeg/lbp008
  • Bronzini, R., & Piselli, P. (2016). The impact of R&D subsidies on firm innovation. Research Policy, 45(2), 442–457. https://doi.org/10.1016/j.respol.2015.10.008
  • Brouwer, E., & Kleinknecht, A. (1999). Innovative output, and a firm’s propensity to patent: An exploration of CIS micro data. Research Policy, 28(6), 615–624. https://doi.org/10.1016/S0048-7333(99)00003-7
  • Cao, C., Suttmeier, R. P., & Simon, D. F. (2006). China’s 15-year science and technology plan. Physics Today, 59(12), 38–43. https://doi.org/10.1063/1.2435680
  • Cappelen, A., Raknerud, A., & Rybalka, M. (2012). The effects of R&D tax credits on patenting and innovations. Research Policy, 41(2), 334–345. https://doi.org/10.1016/j.respol.2011.10.001
  • Carlsson, B., Jacobsson, S., Holmen, M., & Rickne, A. (2002). Innovation systems: Analytical and methodological issues. Research Policy, 31(2), 233–245. https://doi.org/10.1016/S0048-7333(01)00138-X
  • Castellacci, F., & Lie, C. M. (2015). Do the effects of R&D tax credits vary across industries? A meta-regression analysis. Research Policy, 44(4), 819–832. https://doi.org/10.1016/j.respol.2015.01.010
  • Chen, T. C., Guo, D. Q., Chen, H. M., & Wei, T. T. (2019). Effects of R&D intensity on firm performance in Taiwan's semiconductor industry. Economic research-Ekonomska Istraživanja, 32(1), 2377–2392. https://doi.org/10.1080/1331677X.2019.1642776
  • Chen, C., Huang, Y., & Lin, B. (2012). How firms innovate through R&D internationalization? An S-curve hypothesis. Research Policy, 41(9), 1544–1554. https://doi.org/10.1016/j.respol.2012.06.008
  • Choe, H., & Lee, D. H. (2017). The structure and change of the research collaboration network in Korea (2000-2011): Network analysis of joint patents. Scientometrics, 111(2), 917–939. https://doi.org/10.1007/s11192-017-2321-2
  • Czarnitzki, D., Hanel, P., & Rosa, J. M. (2011). Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms. Research Policy, 40(2), 217–229. https://doi.org/10.1016/j.respol.2010.09.017
  • Dang, J., & Motohashi, K. (2015). Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality. China Economic Review, 35, 137–155. https://doi.org/10.1016/j.chieco.2015.03.012
  • Danguy, J. (2016). Globalization of innovation production: A patent-based industry analysis. Science and Public Policy, 44(1), 75–94. https://doi.org/10.1093/scipol/scw025
  • Danish, M. S., Ranjan, P., & Sharma, R. (2020). Valuation of patents in emerging economies: A renewal model-based study of Indian patents. Technology Analysis & Strategic Management, 32(4), 457–473. https://doi.org/10.1080/09537325.2019.1668552
  • De Rassenfosse, G., Dernis, H., Guellec, D., Picci, L., & La Potterie, B. V. P. D. (2013). The Worldwide count of priority patents: A new indicator of inventive activity. Research Policy, 42(3), 720–737. https://doi.org/10.1016/j.respol.2012.11.002
  • Deng, Y. (2011). A dynamic stochastic analysis of international patent application and renewal processes. International Journal of Industrial Organization, 29(6), 766–777. https://doi.org/10.1016/j.ijindorg.2011.04.004
  • Dimos, C., & Pugh, G. (2016). The effectiveness of R&D subsidies: A meta-regression analysis of the evaluation literature. Research Policy, 45(4), 797–815. https://doi.org/10.1016/j.respol.2016.01.002
  • Ernst, D. (2011). China’s innovation policy is a wake-up call for America. Asia Pacific Issues, 100(5), 1–12.
  • Foremanpeck, J. (2013). Effectiveness and efficiency of SME innovation policy. Small Business Economics, 41(1), 55–70.
  • Forsman, H. (2011). Innovation capacity and innovation development in small enterprises. A comparison between the manufacturing and service sectors. Research Policy, 40(5), 739–750. https://doi.org/10.1016/j.respol.2011.02.003
  • Fujiwara, Y., & Aoyama, H. (2010). Large-scale structure of a nation-wide production network. European Physical Journal B – Condensed Matter, 77(4), 565–580.
  • Gambardella, A. (2013). The economic value of patented inventions: Thoughts and some open questions. International Journal of Industrial Organization, 31(5), 626–633. https://doi.org/10.1016/j.ijindorg.2013.02.007
  • Garcia, R. (2005). Uses of agent-based modeling in innovation/new product development research†. Journal of Product Innovation Management, 22(5), 380–398. https://doi.org/10.1111/j.1540-5885.2005.00136.x
  • Griliches, Z. (1990). Patent statistics as economic indicators: A survey. Journal of Economic Literature, 28(4), 287–343.
  • Griliches, Z. (1998). R&D and productivity — The econometric evidence. University of Chicago Press.
  • Hoetker, G. (2005). How much you know versus how well I know you: Selecting a supplier for a technically innovative componen. Strategic Management Journal, 26(1), 75–96. https://doi.org/10.1002/smj.453
  • Hsieh, C. (2013). Patent value assessment and commercialization strategy. Technological Forecasting and Social Change, 80(2), 307–319. https://doi.org/10.1016/j.techfore.2012.09.014
  • Hsu, C., Lien, Y., & Chen, H. (2015). R&D internationalization and innovation performance. International Business Review, 24(2), 187–195. https://doi.org/10.1016/j.ibusrev.2014.07.007
  • Huang, K.-F., Lin, K.-H., Wu, L.-Y., & Yu, P.-H. (2015). Absorptive capacity and autonomous R&D climate roles in firm innovation. Journal of Business Research, 68(1), 87–94. https://doi.org/10.1016/j.jbusres.2014.05.002
  • Hu, J., Huang, Q., & Chen, X. (2020). Environmental regulation, innovation quality and firms’ competitivity-Quasi-natural experiment based on China’s carbon emissions trading pilot. Economic research-Ekonomska Istraživanja, 33(1), 3307–3333. https://doi.org/10.1080/1331677X.2020.1771745
  • Hu, A. G., & Jefferson, G. H. (2009). A great wall of patents: What is behind China's recent patent explosion? Journal of Development Economics, 90(1), 57–68. https://doi.org/10.1016/j.jdeveco.2008.11.004
  • Hwang, J. T., Kim, B. K., & Jeong, E. S. (2021). Patent value and survival of patents. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 119. https://doi.org/10.3390/joitmc7020119
  • Inoue, H., Souma, W., & Tamada, S. (2010). Analysis of cooperative research and development networks on Japanese patents. Journal of Informetrics, 4(1), 89–96. https://doi.org/10.1016/j.joi.2009.09.002
  • Jacobson, L. S., Lalonde, R. J., & Sullivan, D. (1993). Earnings losses of displaced workers. American Economic Review, 83(4), 685–709.
  • Kleinknecht, A., Montfort, K. v., & Brouwer, E. (2002). The non-trivial choice between innovation indicators. Economics of Innovation and New Technology, 11(2), 109–121. https://doi.org/10.1080/10438590210899
  • Kou, Z., & Liu, X. (2020). On patenting behavior of chinese firms: stylized facts and effects of innovation policy. Economic Research Journal, 55(3), 83–99.
  • Lahiri, N. (2010). Geographic distribution of R&D activity: How does it affect innovation quality? Academy of Management Journal, 53(5), 1194–1209. https://doi.org/10.5465/amj.2010.54533233
  • Lanjouw, J. O. (1998). Patent protection in the shadow of infringement: Simulation estimations of patent value. The Review of Economic Studies, 65(4), 671–710.
  • Lanjouw, J. O., Pakes, A., & Putnam, J. (1998). How to count patents and value intellectual property: The uses of patent renewal and application data. Journal of Industrial Economics, 46(4), 405–432. https://doi.org/10.1111/1467-6451.00081
  • Lawryshyn, Y., Collan, M., Luukka, P., & Fedrizzi, M. (2017). New procedure for valuing patents under imprecise information with a consensual dynamics model and a real options framework. Expert Systems with Applications, 86, 155–164. https://doi.org/10.1016/j.eswa.2017.05.056
  • Layne-Farrar, A., & Lerner, J. (2011). To join or not to join: Examining patent pool participation and rent sharing rules. International Journal of Industrial Organization, 29(2), 294–303. https://doi.org/10.1016/j.ijindorg.2010.08.006
  • Lee, S. M., & Trimi, S. (2018). Innovation for creating a smart future. Journal of Innovation & Knowledge, 3(1), 1–8. https://doi.org/10.1016/j.jik.2016.11.001
  • Leydesdorff, L., & Vaughan, L. (2006). Co-occurrence matrices and their applications in information science: Extending ACA to the Web environment. Journal of the Association for Information Science and Technology, 57(12), 1616–1628.
  • Li, X. (2012). Behind the recent surge of Chinese patenting: An institutional view. Research Policy, 41(1), 236–249. https://doi.org/10.1016/j.respol.2011.07.003
  • Li, P., Lu, Y., & Wang, J. (2016). Does flattening government improve economic performance? Evidence from China. Journal of Development Economics, 123(123), 18–37. https://doi.org/10.1016/j.jdeveco.2016.07.002
  • Ma, Z., Lee, Y., & Chen, C. P. (2009). Booming or emerging? China’s technological capability and international collaboration in patent activities. Technological Forecasting and Social Change, 76(6), 787–796. https://doi.org/10.1016/j.techfore.2008.11.003
  • Mai, A. N., Vu, H. V., Bui, B. X., & Tran, T. Q. (2019). The lasting effects of innovation on firm profitability: Panel evidence from a transitional economy. Economic research-Ekonomska Istraživanja, 32(1), 3417–3430. https://doi.org/10.1080/1331677X.2019.1660199
  • Mairesse, J., & Mohnen, P. (2004). The importance of R&D for innovation: A reassessment using french survey data. The Journal of Technology Transfer, 30(1–2), 183–197. https://doi.org/10.1007/s10961-004-4365-8
  • Montmartin, B., & Herrera, M. (2015). Internal and external effects of R&D subsidies and fiscal incentives: Empirical evidence using spatial dynamic panel models. Research Policy, 44(5), 1065–1079. https://doi.org/10.1016/j.respol.2014.11.013
  • Murray, F. (2002). Innovation as co-evolution of scientific and technological networks: Exploring tissue engineering. Research Policy, 31(8–9), 1389–1403. https://doi.org/10.1016/S0048-7333(02)00070-7
  • Negassi, S., & Sattin, J. (2019). Evaluation of Public R&D Policy: A Meta-Regression Analysis. Technology and Investment, 10(01), 1–29. https://doi.org/10.4236/ti.2019.101001
  • Nilsson, S., & Ritzen, S. (2014). Exploring the use of innovation performance measurement to build innovation capability in a medical device company. Creativity and Innovation Management, 23(2), 183–198. https://doi.org/10.1111/caim.12054
  • OECD. (2003). Tax incentives for research and development: Trends and issues. OECD.
  • Pakes, A. (1986). Patents as options: Some estimates of the value of holding European patent stocks. Econometrica, 54(4), 755–784. https://doi.org/10.2307/1912835
  • Pakes, A., & Schankerman, M. (1984). The rate of obsolescence of patents, research gestation lags, and the private rate of return to research resources (R&D, Patents, and Productivity) (pp. 73–88). National Bureau of Economic Research. https://EconPapers.repec.org/RePEc:nbr:nberch:10045
  • Park, G., & Park, Y. (2006). On the measurement of patent stock as knowledge indicators. Technological Forecasting and Social Change, 73(7), 793–812. https://doi.org/10.1016/j.techfore.2005.09.006
  • Pyka, A. (2002). Innovation networks in economics: From the incentive‐based to the knowledge‐based approaches. European Journal of Innovation Management, 5(3), 152–163. https://doi.org/10.1108/14601060210436727
  • Radicic, D., Pugh, G., Hollanders, H., Wintjes, R., & Fairburn, J. (2016). The impact of innovation support programmes on SME innovation in traditional manufacturing industries: An evaluation for seven EU regions. Environment and Planning C: Government and Policy, 34(8), 1425–1452. https://doi.org/10.1177/0263774X15621759
  • Rahmandad, H., & Sterman, J. D. (2008). Heterogeneity and network structure in the dynamics of diffusion: Comparing agent-based and differential equation models. Management Science, 54(5), 998–1014. https://doi.org/10.1287/mnsc.1070.0787
  • Ribeiro, B., & Shapira, P. (2020). Private and public values of innovation: A patent analysis of synthetic biology. Research Policy, 49(1), 103875. https://doi.org/10.1016/j.respol.2019.103875
  • Sandstrom, A., & Carlsson, L. (2008). The performance of policy networks: The relation between network structure and network performance. Policy Studies Journal, 36(4), 497–524. https://doi.org/10.1111/j.1541-0072.2008.00281.x
  • Savin, I., & Egbetokun, A. (2016). Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity. Journal of Economic Dynamics and Control, 64, 82–103. https://doi.org/10.1016/j.jedc.2015.12.005
  • Schankerman, M., & Pakes, A. (1986). Estimates of the value of patent rights in European countries during the post-1950 period. The Economic Journal, 96(384), 1052–1076. https://doi.org/10.2307/2233173
  • Schilling, M. A., & Phelps, C. (2007). Interfirm collaboration networks: The impact of large-scale network structure on firm innovation. Management Science, 53(7), 1113–1126. https://doi.org/10.1287/mnsc.1060.0624
  • Seddighi, H. R., & Mathew, S. (2020). Innovation and regional development via the firm’s core competence: Some recent evidence from North East England. Journal of Innovation & Knowledge, 5(4), 219–227. https://doi.org/10.1016/j.jik.2019.12.005
  • Skm, A., & Ab, B. (2020). External knowledge modes and firm-level innovation performance: Empirical evidence from sub-Saharan Africa. Journal of Innovation & Knowledge, 5(2), 81–95.
  • Spelta, A., & Araújo, T. (2012). The topology of cross-border exposures: Beyond the minimal spanning tree approach. Physica A: Statistical Mechanics and Its Applications, 391(22), 5572–5583. https://doi.org/10.1016/j.physa.2012.05.071
  • Sternitzke, C., Bartkowski, A., & Schramm, R. (2008). Visualizing patent statistics by means of social network analysis tools. World Patent Information, 30(2), 115–131. https://doi.org/10.1016/j.wpi.2007.08.003
  • Straub, D. W., Rai, A., & Klein, R. G. (2004). Measuring firm performance at the network level: A nomology of the business impact of digital supply networks. Journal of Management Information Systems, 21(1), 83–114. https://doi.org/10.1080/07421222.2004.11045790
  • Tola, V., Lillo, F., Gallegati, M., & Mantegna, R. N. (2008). Cluster analysis for portfolio optimization. Journal of Economic Dynamics and Control, 32(1), 235–258. https://doi.org/10.1016/j.jedc.2007.01.034
  • Tomasz, K., & Arkadiusz, K. (2019). Is innovation the key to solving the productivity paradox? Journal of Innovation & Knowledge, 4(4), 219–225.
  • Tukoff-Guimarães, Y. B., Kniess, C. T., Penha, R., & Ruiz, M. S. (2021). Patents valuation in core innovation: Case study of a Brazilian public university Patents valuation in core innovation. Innovation & Management Review, 18(1), 34–50. https://doi.org/10.1108/INMR-03-2019-0027
  • Verhoeven, D., Bakker, J., & Veugelers, R. (2016). Measuring technological novelty with patent-based indicators. Research Policy, 45(3), 707–723. https://doi.org/10.1016/j.respol.2015.11.010
  • Von Wartburg, I., Teichert, T., & Rost, K. (2005). Inventive progress measured by multi-stage patent citation analysis. Research Policy, 34(10), 1591–1607. https://doi.org/10.1016/j.respol.2005.08.001
  • Watanabe, C., Tsuji, Y. S., & Griffy-Brown, C. (2001). Patent statistics: Deciphering a ‘real’ versus a ‘pseudo’ proxy of innovation. Technovation, 21(12), 783–790. https://doi.org/10.1016/S0166-4972(01)00025-6
  • World Intellectual Property Organization. (2012). World Intellectual Property Indicator 2012. https://www.wipo.int/publications/en/series/index.jsp?id=37#:∼:text=WIPO%27s%20World%20Intellectual%20Property%20Indicators%202012%20provides%20a,IP%20offices%2C%20WIPO%2C%20the%20World%20Bank%20and%20UNESCO.
  • Yang, G., Li, G., Li, C., Zhao, Y., Zhang, J., Liu, T., Chen, D., & Huang, M. (2015). Using the comprehensive patent citation network (CPC) to evaluate patent value. Scientometrics, 105(3), 1319–1346. https://doi.org/10.1007/s11192-015-1763-7
  • Yeo, B. (2019). What drives university technological innovation outcomes? A re-vitalised investigation. Journal of Information & Knowledge Management, 18(03), 1950035–1950028. https://doi.org/10.1142/S0219649219500357
  • Yoon, B., & Park, Y. (2004). A text-mining-based patent network: Analytical tool for high-technology trend. The Journal of High Technology Management Research, 15(1), 37–50. https://doi.org/10.1016/j.hitech.2003.09.003
  • Zanghelini, F., & Andrade, C. (2015). Effectiveness evaluation of public policy incentive R&D in technological innovation in Brazil: A focus on law of the well. Revista de Ciencias Farmaceuticas Basica e Aplicada, 36(3), 349–358.
  • Zeebroeck, N. V. (2011). The puzzle of patent value indicators. Economics of Innovation and New Technology, 20(1), 33–62.
  • Zhang, G., Lv, X., & Zhou, J. (2014). Private value of patent right and patent infringement: An empirical study based on patent renewal data of China. China Economic Review, 28, 37–54. https://doi.org/10.1016/j.chieco.2013.11.004