Patent Data as Proxy for Innovation in Philippine Universities: A Preliminary Survey of the Landscape
DOI:
https://doi.org/10.61453/joit.v2026_0103Keywords:
Patent Data, Innovation Landscape, Philippine Higher Education Institutions (HEIs), Research Output, International Patent Classification (IPC), PhilippinesAbstract
This study presents a preliminary survey of the innovation landscape within Philippine Higher Education Institutions (HEIs), utilizing patent data as a key indicator for innovation activity. It reveals a strong focus on ‘Human Necessities’ (IPC Section A), particularly in foods/foodstuffs (A23L) and medical/veterinary science and hygiene (A61K). Areas like textiles and paper, fixed constructions, and new technological development show limited activity, suggesting potential areas for future growth and exploration given the Philippines’ skilled workforce. This study emphasizes the utility of patent data as an objective measure and proxy for innovation activity in HEIs.
References
Acs, Z.J., Anselin, L. and Varga, A. (2002). Patents and innovation counts as measures of regional production of new knowledge, Research Policy, 31(7): 1069-1085. https://doi.org/10.1016/S0048-7333(01)00184-6
Allard, S. (2004). Knowledge Creation. In Holsapple, C.W. (eds) Handbook on Knowledge Management 1. International Handbooks on Information Systems, Vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24746-3_18
Arundel, A., and Kabla, I. (1998). What percentage of innovations are patented? empirical estimates for European firms. Research Policy, 27(2): 127-141. https://doi.org/10.1016/S0048-7333(98)00033-X.
Billones, R. K. C., Cases, C. M. P., Olegario, T. V., Vicerra, R. R. P., Bugtai, N. T. and Dadios, E. P. (2020). A Systematic Evaluation of the Philippine Innovation Ecosystem, 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Manila, Philippines, 2020, pp. 1-5, https://doi.org/10.1109/HNICEM51456.2020.9400074
Boone, C., Lokshin, B., Guenter, H., Belderbos, R. (2018). Top management team nationality diversity, corporate entrepreneurship, and innovation in multinational firms. Strategic Management Journal, 40(2): 277-302. https://onlinelibrary.wiley.com/doi/10.1002/smj.2976
Burhan, M., Singh, A. K., and Jain, S. K. (2017). Patents as proxy for measuring innovations: A case of changing patent filing behavior in Indian public funded research organizations. Technological Forecasting and Social Change, 123: pp. 181-190. https://doi.org/10.1016/j.techfore.2016.04.002
CHED (2024). Higher Education Indicators, 2020 Statistics [Dataset]. Commission on Higher Education, Quezon City, Philippines. Retrieved 14/02/2024. http://www.ched.gov.ph/statistics
De Rassenfosse, G., Dernis, H., Guellec, D., Picci, L. and de la Potterie, B.V.P. (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
Dechezleprêtre, A. and Martin, R. (2010). Low carbon innovation in the UK: evidence from patent data, in Report for the UK Committee on Climate Change, Centre for Climate Change Economics and Policy, Grantham Research Institute on Climate Change and the Environment, 4. https://www.cccep.ac.uk/wp-content/uploads/2015/10/PP-low-carbon-innovation-UK.pdf
Dziallas, M. and Blind, K. (2019). Innovation indicators throughout the innovation process: an extensive literature analysis. Technovation, 80-81, pp. 3-29. https://doi.org/10.1016/j.technovation.2018.05.005
Ernst, H. The Use of Patent Data for Technological Forecasting: The Diffusion of CNC-Technology in the Machine Tool Industry. Small Business Economics 9, 361–381 (1997). https://doi.org/10.1023/A:1007921808138
Furman, J. L., Porter, M. E., Stern, S. (2002). The determinants of national innovative capacity. Research Policy, 31(6). https://doi.org/10.1016/S0048-7333(01)00152-4
Hagedoorn, J., and Cloodt, M. (2003). Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy, 32(8):1365-1379. https://www.sciencedirect.com/science/article/abs/pii/S0048733302001373
Jaffe, A. B. and Palmer, K. (1997). Environmental regulation and innovation: a panel data study, The Review of Economics and Statistics, 79(4): 610-619. https://www.jstor.org/stable/2951413
Klich, A. and Dix, M. O. (2020). Philippines Innovation Ecosystem Assessment: 2019 Update. USAID/Philippines Office of Education, RTI International, NC USA.
Lanjouw, J. O. and Schankerman, M. (2004). Patent quality and research productivity: measuring innovation with multiple indicators. The Economic Journal, 114(495): 441-465. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1468-0297.2004.00216.x
Lunag, M. Jr., Posadas, C.L., Lamadrid, R. L., Ducas, A. (2023). Building sustainable research and innovation ecosystem in the Philippine higher education institutions. Educational Research for Policy and Practice, 23(1):1-26. www.doi.org/10.1007/s10671-023-09355-2
Nagaoka, S., Motohashi, K. and Goto, A. (2010). Patent statistics as an innovation indicator, in Hall, B. H. and Rosenberg, N. (Eds). Handbook of the Economics of Innovation, 2: 1083-1127. North-Holland, https://www.sciencedirect.com/science/article/abs/pii/S0169721810020095
NEDA (2022). Philippine Development Plan 2023-2028, National Economic and Development Authority, Mandaluyong City, Philippines. https://pdp.neda.gov.ph/philippine-development-plan-2023-2028/
OECD (2015). Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement for Scientific, Technological and Innovation Activities, OECD Publishing, Paris. http://dx.doi.org/10.1787/9789264239012-en
Pakes, A. and Griliches, Z. (1980). Patents and R&D at the firm level: a first report. Economics Letter No. 5, pp. 377-381. https://www.sciencedirect.com/science/article/abs/pii/0165176580901366
Popadiuk, S. and Choo, C. W. (2006). Innovation and knowledge creation: How are these concepts related? International Journal of Information Management, 26(4), pp. 302-312. https://doi.org/10.1016/j.ijinfomgt.2006.03.011
Saheb, T. and Saheb, T. (2020). Understanding the development trends of big data technologies: an analysis of patents and the cited scholarly works. Journal of Big Data, 7. https://doi.org/10.1186/s40537-020-00287-9
Sahgal, V., Rhee, A., Ankita, Dreith, S., Sayal, L., Simon, B., Sharma, S., Wood, N., Simms, A., Alarcon, D., and Andreasson, K. (2023) Innovation Quotient Global Findings Report. Economist Impact. https://impact.economist.com/new-globalisation/innovation-quotient/downloads/keyfindings2023.pdf
Sampson, R. C. (2017). R&D Alliances and Firm Performance: The Impact of Technological Diversity and Alliance Organization on Innovation. Academy of Management Journal, 50(2). https://doi.org/10.5465/amj.2007.24634443
Scherer, F. M. (1965). Firm size, market structure, opportunity, and the output of patented inventions, The American Economic Review, 55(5): 1097-1125. https://www.jstor.org/stable/1809230
Svensson, R. (2015). Measuring innovation using patent data [Technical Report]. IFN Working Paper, Stockholm. https://www.ifn.se/wfiles/wp/wp1067.pdf
Taylor, S. P. (2017). What is innovation? A study of the definitions, academic models and applicability of innovation to an example of social housing in England. Open Journal of Social Sciences, 5 (11). pp. 128-146. https://doi.org/10.4236/jss.2017.511010
WIPO (2025). Global Innovation Index 2025. World Intellectual Property Organization. [Website] https://www.wipo.int/en/web/global-innovation-index
Zeb, S. (2022). The role of knowledge economy in Asian business. Future Business Journal, 8(1). https://doi.org/10.1186/s43093-021-00112-6
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