Skip to main navigation menu Skip to main content Skip to site footer

how the quality of patents contributes to revitalising the innovation system?, evidence from the renewable energy sector

Abstract

There is an intense discussion on the impact of the quality of patents on innovation and economic development. Consequently, measuring the quality of patents becomes an essential issue to understand how it affects the innovation system (IS). This paper shows a systematic review of patent quality indicators and their contribution to the literature. Additional to the systematic review, a dynamic behaviour hypothesis is developed to comprise how patent value indicators can be used to create a set of strategies to improve the innovation of the renewable energy sector. Our results show a novel framework for analysing the effects of patent value on the IS that could be useful for renewable energy diffusion in Latin-America.

Keywords

technological innovation system;, patent analysis;, renewable energy;, systemic intervention

PDF XML (Español)

Author Biography

Milton Mauricio Herrera-Ramírez

Production Engineering, PhD. in Model Based Public Planning, Policy Design and Management

Edgard Alberto Méndez-Morales

Economist, PhD. in Economics and Innovation Management

Diana Marlene Barrios-Campos

Economist, MSc in Economics


References

Abbas, A., Zhang, L., & Khan, S. U. (2014). A literature review on the state-of-the-art in patent analysis. World Patent Information, 37, 3–13. https://doi.org/10.1016/j.wpi.2013.12.006

Aguirre-Bastos, C., & Weber, M. K. (2018). Foresight for shaping national innovation systems in developing economies. Technological Forecasting and Social Change, 128 (3), 186–196. https://doi.org/10.1016/j.techfore.2017.11.025

Aristodemou, L., & Tietze, F. (2018). Citations as a measure of technological impact: A review of forward citation-based measures. World Patent Information, 53 (6), 39–44. https://doi.org/10.1016/j.wpi.2018.05.001

Bala, B. K., Arshad, F. M., & Noh, K. M. (2017). System Dynamics: Modelling and Simulation. In Springer. https://doi.org/10.1007/SpringerReference_7284

Barroso, W., Quoniam, L., & Pacheco, E. (2009). Patents as technological information in Latin America. World Patent Information, 31 (3), 207–215. https://doi.org/10.1016/j.wpi.2008.11.006

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

Bergek, A., Hekkert, M., Jacobsson, S., Markard, J., Sandén, B., & Truffer, B. (2015). Technological innovation systems in contexts: Conceptualizing contextual structures and interaction dynamics. Environmental Innovation and Societal Transitions, 16, 51–64. https://doi.org/10.1016/j.eist.2015.07.003

Boeing, P., & Mueller, E. (2016). Measuring patent quality in cross-country comparison. Economics Letters, 149, 145–147. https://doi.org/10.1016/j.econlet.2016.10.039

Boeing, P., & Mueller, E. (2019). Measuring China’s patent quality: Development and validation of ISR indices. China Economic Review, 57(July 2018), 101331. https://doi.org/10.1016/j.chieco.2019.101331

Brannstrom, C., Gorayeb, A., de Sousa Mendes, J., Loureiro, C., Meireles, A. J. de A., Silva, E. V. da, Freitas, A. L. R. de, & Oliveira, R. F. de. (2017). Is Brazilian wind power development sustainable? Insights from a review of conflicts in Ceará state. Renewable and Sustainable Energy Reviews, 67 (1), 62–71. https://doi.org/10.1016/j.rser.2016.08.047

Chang, S. H., Chang, H. Y., & Fan, C. Y. (2018). Structural model of patent quality applied to various countries. International Journal of Innovation Science, 10 (3), 371–384. https://doi.org/10.1108/IJIS-05-2017-0036

Ernst, H. (2003). Patent information for strategic technology management. World Patent Information, 25 (3), 233–242. https://doi.org/10.1016/S0172-2190(03)00077-2

Ernst, H., & Omland, N. (2011). The Patent Asset Index - A new approach to benchmark patent portfolios. World Patent Information, 33 (1), 34–41. https://doi.org/10.1016/j.wpi.2010.08.008

Gorayeb, A., Brannstrom, C., de Andrade Meireles, A. J., & de Sousa Mendes, J. (2018). Wind power gone bad: Critiquing wind power planning processes in northeastern Brazil. Energy Research and Social Science, 40 (6), 82–88. https://doi.org/10.1016/j.erss.2017.11.027

Guerrini, C. J. (2014). Defining Patent Quality. Fordham Law Review, 82 (6), 3092–3141.

Hall, B. H., & Helmers, C. (2013). Innovation and diffusion of clean/green technology: Can patent commons help?. Journal of Environmental Economics and Management, 66 (1), 33–51. https://doi.org/10.1016/j.jeem.2012.12.008

Hall, B. H., & Jaffe, A. B. (2001). The nber patent citations data file: Lessons, insights and metholodigal tools.

Hall, B. H., Jaffe, A., & Trajtenberg, M. (2005). Market value and patent citations. RAND Journal of Economics, 36 (1), 16–38.

Harhoff, D., Narin, F., Scherer, F. M., & Vopel, K. (1999). Citation frequency and the value of patented inventions. Review of Economics and Statistics, 81 (3), 511–515. https://doi.org/10.1162/003465399558265

Harhoff, D., & Reitzig, M. (2004). Determinants of opposition against EPO patent grants - The case of biotechnology and pharmaceuticals. International Journal of Industrial Organization, 22 (4), 443-480. https://doi.org/10.1016/j.ijindorg.2004.01.001

Harrigan, K. R., Di Guardo, M. C., Marku, E., & Velez, B. N. (2017). Using a distance measure to operationalise patent originality. Technology Analysis and Strategic Management, 29 (9), 988–1001. https://doi.org/10.1080/09537325.2016.1260106

Hekkert, M., & Negro, S. (2009). Functions of innovation systems as a framework to understand sustainable technological change: Empirical evidence for earlier claims. Technological Forecasting and Social Change, 76 (4), 584–594. https://doi.org/10.1016/j.techfore.2008.04.013

Hekkert, M., Suurs, R., Negro, S., Kuhlmann, S., & Smits, R. (2007). Functions of innovation systems: A new approach for analysing technological change. Technological Forecasting and Social Change, 74 (4), 413–432. https://doi.org/10.1016/j.techfore.2006.03.002

Herrera, M. M., Cosenz, F., & Dyner, I. (2019). How to support energy policy coordination? Findings from the Brazilian wind industry. The Electricity Journal, 32 (8), 106636. https://doi.org/10.1016/j.tej.2019.106636

Herrera, M. M., Dyner, I., & Cosenz, F. (2019). Assessing the effect of transmission constraints on wind power expansion in northeast Brazil. Utilities Policy, 59, 100924. https://doi.org/10.1016/j.jup.2019.05.010

Jimenez, M., Franco, C. J., & Dyner, I. (2016). Diffusion of renewable energy technologies: The need for policy in Colombia. Energy, 111, 818–829. https://doi.org/10.1016/j.energy.2016.06.051

Kapoor, R., Karvonen, M., Ranaei, S., & Kässi, T. (2015). Patent portfolios of European wind industry: New insights using citation categories. World Patent Information, 41, 4–10. https://doi.org/10.1016/j.wpi.2015.02.002

Kebede, K. Y., & Mitsufuji, T. (2017). Technological innovation system building for diffusion of renewable energy technology: A case of solar PV systems in Ethiopia. Technological Forecasting and Social Change, 114, 242–253. https://doi.org/10.1016/j.techfore.2016.08.018

Kitson, M. (2019). Innovation policy and place: A critical assessment. Cambridge Journal of Regions, Economy and Society, 12 (2), 293–315. https://doi.org/10.1093/cjres/rsz007

Lanjouw, J. O., & Schankerman, M. (2002). Research productivity and patent quality: measurement with multiple indicators. The Economic Journal, 114 (495), 441–465.

Lanjouw, J. O., & Schankerman, M. (2004). Patent quality and research productivity: Measuring innovation with multiple indicators. Economic Journal, 114 (495), 441–465. https://doi.org/10.1111/j.1468-0297.2004.00216.x

Lee, C., Kwon, O., Kim, M., & Kwon, D. (2018). Early identification of emerging technologies: A machine learning approach using multiple patent indicators. Technological Forecasting and Social Change, 127 (2), 291–303. https://doi.org/10.1016/j.techfore.2017.10.002

Leusin, M. E., Vaz, C. R., & Uriona Maldonado, M. (2018). Mapeamento Tecnológico de Patentes em Energia Eólica no Brasil. Future Studies Research Journal: Trends and Strategies, 10 (2), 303–331. https://doi.org/10.24023/futurejournal/2175-5825/2018.v10i2.313

Lu, B. (2013). Expedited patent examination for green inventions: Developing countries’ policy choices. Energy Policy, 61, 1529–1538. https://doi.org/10.1016/j.enpol.2013.06.028

Mann, R. (2008). A New Look at Patent Quality. American Law & Economics Association Papers, 9 (41), 1–8.

Miremadi, I., Saboohi, Y., & Jacobsson, S. (2018). Assessing the performance of energy innovation systems: Towards an established set of indicators. Energy Research and Social Science, 40 (6), 159–176. https://doi.org/10.1016/j.erss.2018.01.002

Miyamoto, M., & Takeuchi, K. (2019). Climate agreement and technology diffusion: Impact of the Kyoto Protocol on international patent applications for renewable energy technologies. Energy Policy, 129 (6), 1331–1338. https://doi.org/10.1016/j.enpol.2019.02.053

Mollona, E. (2008). J. Morecroft, Strategic Modelling and Business Dynamics. A Feedback Systems Approach. Journal of Management & Governance, 12, 213–217. https://doi.org/10.1007/s10997-008-9050-0

Nagaoka, S., Motohashi, K., & Goto, A. (2010). Chapter 25 - Patent Statistics as an Innovation Indicator. In B. H. Hall & N. Rosenberg (Eds.), Handbook of the Economics of Innovation, 2 (2), 1083–1127). North-Holland. https://doi.org/https://doi.org/10.1016/S0169-7218(10)02009-5

Negro, S. O., Alkemade, F., & Hekkert, M. P. (2012). Why does renewable energy diffuse so slowly? A review of innovation system problems. Renewable and Sustainable Energy Reviews, 16 (6), 3836–3846. https://doi.org/10.1016/j.rser.2012.03.043

Pinto, P. E., Vallone, A., & Honores, G. (2019). The structure of collaboration networks: Findings from three decades of co-invention patents in Chile. Journal of Informetrics, 13 (4), 100984. https://doi.org/10.1016/j.joi.2019.100984

Rahmandad, H., Repenning, N., & Sterman, J. (2009). Effects of feedback delays on learning. System Dynamics Review, 25(4), 309–338. https://doi.org/10.1002/sdr.427

Reichardt, K., Rogge, K. S., & Negro, S. O. (2017). Unpacking policy processes for addressing systemic problems in technological innovation systems: The case of offshore wind in Germany. Renewable and Sustainable Energy Reviews, 80 (1), 1217–1226. https://doi.org/10.1016/j.rser.2017.05.280

Reitzig, M. (2003). What determines patent value?. Research Policy, 32 (1), 13–26. https://doi.org/10.1016/S0048-7333(01)00193-7

Reitzig, M. (2004). Improving patent valuations for management purposes—validating new indicators by analyzing application rationales. Research Policy, 33 (6–7), 939–957. https://doi.org/10.1016/J.RESPOL.2004.02.004

Romano, A. A., Scandurra, G., Carfora, A., & Fodor, M. (2017). Renewable investments: The impact of green policies in developing and developed countries. Renewable and Sustainable Energy Reviews, 68 (2), 738–747. https://doi.org/10.1016/j.rser.2016.10.024

Saint-Georges, M. De, Pottelsberghe, B. Van, & Potterie, D. (2011). A quality index for patent systems. Research Policy, 42 (3), 704–719. https://doi.org/10.1016/j.respol.2012.09.003

Schettino, F., Sterlacchini, A., & Venturini, F. (2013). Inventive productivity and patent quality: Evidence from Italian inventors. Journal of Policy Modeling, 35 (6), 1043–1056. https://doi.org/10.1016/j.jpolmod.2013.02.008

Squicciarini, M., Dernis, H., & Criscuolo, C. (2013). Measuring patent quality: indicators of technological and economic value. STI Workign Papers Series, 1–62.

Sterman, J. (2000). Business dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill.

Sterman, J. (1989). Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment. Management Science, 35 (3), 321–339. https://doi.org/10.1287/mnsc.35.3.321

Suurs, R. A. A. (2009). Motors of sustainable innovation: Towards a theory on the dynamics of technological innovation systems. Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) (Issue February).

Trajtenberg, M. (1990). A Penny for Your Quotes : Patent Citations and the Value of Innovations. The RAND Journal of Economics, 21 (1), 172–187.

Tseng, Y. H., Lin, C. J., & Lin, Y. I. (2007). Text mining techniques for patent analysis. Information Processing and Management, 43 (5), 1216–1247. https://doi.org/10.1016/j.ipm.2006.11.011

van Eck, N. J., & Waltman, L. (2020). Manual for VOSviewer version 1.6.15. Univeristeit Leiden (Issue April).

van Zeebroeck, N. (2011). The puzzle of patent value indicators. Economics of Innovation and New Technology, 20 (1), 33–62. https://doi.org/10.1080/10438590903038256

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

Downloads

Download data is not yet available.

Similar Articles

<< < 1 2 3 4 

You may also start an advanced similarity search for this article.