Abstract
Technological diversity, or the breadth of technological knowledge embedded in patented inventions, refers to the range of different technological or economic fields covered by a patent. This paper explores the role of diversification scope in encouraging the production of new patents in European universities by including the diversification scope as an explanatory variable in a patent production function. We hypothesize that the more diversified the patented technology in the university, the greater the production of new patents in subsequent periods. To test this hypothesis we rely on a cross-sectional sample of patents owned by 141 European universities across Europe in 2001–2004. Our empirical findings support the hypothesis of diversification, which means that the production of new patents can be spurred by promoting or stimulating greater levels of technological diversification. This result is robust to both the use of various measures of diversification and to different econometric specifications.
Similar content being viewed by others
Notes
Geuna and Nesta (2006) concluded that the number of university-invented patents is higher than the number of patents owned by universities. Lissoni et al. (2008) provide figures to show that university-owned patents in France, Italy and Sweden constitute no more than 10 % of all academic patents (most patent ownership lies with firms), although this can be as high as 69 % in the US. Recently, some European countries have introduced legislative changes in an attempt to retain the rights of invention where universities produce the information included in patents; see Geuna and Rossi (2011) for a discussion.
There are two issues that we had to solve. First, sometimes the college appears as applicant instead of the university. Second, it is common that different names and/or abbreviations for the university appear as applicant of the patent. To avoid losing information we elaborated a complete list of universities (and colleges) considering different abbreviations as well. (This list is available upon request).
Although the first search was performed using the Derwent Innovation Index, we have recently checked and compared the entire information with another database (PATSTAT), with little change with respect to our original data.
Available at http://www.wipo.int/classifications/ipc/en/general/.
For example, when the number of patents owned by the university is large, let us say 1000, the weight factor is near 1 (p/p − 1 = 1000/999) and entroipc is equal to entroipcw; however, if the number of patents is small, e.g. 5, the weight factor is 1.25 [p/(p − 1) = 5/4], which means that entroipcw is larger than entroipc for universities with a small number of patents.
As is well known, the SCI is a bibliographical database produced by the Information Sciences Institute (ISI), which is in turn a part of Thomson Reuters’ Web of Science. The main advantage of ISI citation indexes is that they provide a complete list of all authors and their affiliations.
Other alternatives have been proposed in the literature, for example when the fraction of zeros is too high to be compatible with standard underlying count data, zero inflated models or hurdle models can be a good option. But in our analysis it is not appropriate to estimate this model as our sample contains 12.8 % of zeros.
The estimated models for the sensibility analysis and the additional Poisson models are not presented, but are available upon request.
References
Acosta, M., Coronado, D., & Flores, E. (2011). University spillovers and new business location in high-technology sectors: Spanish evidence. Small Business Economics, 36(3), 365–376.
Acosta, M., Coronado, D., León, D., & Martínez, M. A. (2009). The production of university technological knowledge in European regions: Evidence from patent data. Regional Studies, 43(9), 1167–1181.
Anselin, L., Varga, A., & Acs, Z. J. (1997). Local geographic spillovers between university research and high technology innovations. Journal of Urban Economics, 42(3), 422–448.
Anselin, L., Varga, A., & Acs, Z. J. (2000). Geographical spillovers and university research: A spatial econometric perspective. Growth and Change, 31(4), 501–515.
Antweiler, W. (2001). Nested random effects estimation in unbalanced panel data. Journal of Econometrics, 101(2), 295–313.
Audretsch, D. B., & Lehmann, E. E. (2005). Does the knowledge spillover theory of entrepreneurship hold for regions? Research Policy, 34(8), 1191–1202.
Azagra-Caro, J. M. (2014). Determinants of national patent ownership by public research organisations and universities. The Journal of Technology Transfer, 39(6), 898–914.
Azagra-Caro, J. M., Carayol, N., & Llerena, P. (2006a). Patent production at a European Research University: Exploratory evidence at the laboratory level. Journal of Technology Transfer, 31(3), 257–268.
Azagra-Caro, J. M., Fernández-de-Lucio, I., & Gutiérrez-Gracia, A. (2003). University patents: Output and input indicators…of what? Research Evaluation, 12(1), 5–16.
Azagra-Caro, J. M., Yegros-Yegros, A., & Archontakis, F. (2006b). What do university patent routes indicate at regional level? Scientometrics, 66(1), 219–230.
Azoulay, P., Ding, W., & Stuart, T. (2007). The determinants of faculty patenting behavior: Demographics or opportunities? Journal of Economic Behavior & Organization, 63(4), 599–623.
Baldini, N., Grimaldi, R., & Sobrero, M. (2006). Institutional changes and the commercialization of academic knowledge: A study of Italian universities’ patenting activities between 1965 and 2002. Research Policy, 35(1), 518–532.
Belkhodja, O., & Landry, R. (2007). The Triple-Helix collaboration: Why do researchers collaborate with industry and the government? What are the factors that influence the perceived barriers? Scientometrics, 70(2), 301–332.
Bercovitz, J., & Feldmann, M. (2006). Entrepreneurial universities and technology transfer: A conceptual framework for understanding knowledge-based economic development. Journal of Technology Transfer, 31(1), 175–188.
Bonaccorsi, A., Colombo, M. G., Guerini, M., & Rossi-Lamastra, C. (2014). The impact of local and external university knowledge on the creation of knowledge-intensive firms: Evidence from the Italian case. Small Business Economics, 43(2), 261–287.
Breschi, S., Lissoni, F., & Malerba, M. (2003). Knowledge-relatedness in firm technological diversification. Research Policy, 32(1), 69–87.
Breschi, S., Lissoni, F., & Montobbio, F. (2007). The scientific productivity of academic inventors: New evidence from Italian data. Economics of Innovation and New Technology, 16(2), 101–118.
Brown, R. (1992). Managing the “S” curve of innovation. Journal of Consumer Marketing, 9(1), 61–72.
Cameron, A., & Trivedi, P. (1998). Regression analysis of count data. Cambridge: Cambridge University Press.
Cameron, A. C., & Trivedi, P. K. (2009). Microeconomics using stata. Lakeway Drive, TX: Stata Press Books.
Carayol, N. (2007). Academic incentives, research organization and patenting at a large French university. Economics of Innovation and New Technology, 16(2), 119–138.
Carlsson, B., Acs, Z. J., Audretsch, D. B., & Braunerhjelm, P. (2009). Knowledge creation, entrepreneurship, and economic growth: A historical review. Industrial and Corporate Change, 18(6), 1193–1229.
Carlsson, B., & Fridh, A. C. (2002). Technology transfer in United States universities. Journal of Evolutionary Economics, 12(1–2), 199–232.
Casper, S. (2013). The spill-over theory reversed: The impact of regional economies on the commercialization of university science. Research Policy, 42(8), 1313–1324.
Chen, C. S., & Liu, C. H. (2012). Impact of network position and knowledge diversity on knowledge creation: The empirical setting of research communities. Canadian Journal of Administrative Sciences, 29(4), 297–309.
Chiesa, V., & Piccaluga, A. (2000). Exploitation and diffusion of public research: The case of academic spin-off companies in Italy. R&D Management, 30(4), 329–340.
Chiu, Y.-C., Lai, H.-C., Liaw, Y.-C., & Lee, T.-Y. (2010). Technological scope: Diversified or specialized. Scientometrics, 82(1), 37–58.
Coupé, T. (2003). Science is golden: Academic R&D and university patents. Journal of Technology Transfer, 28(1), 31–46.
Crespi, G., D’Este, P., Fontana, R., & Geuna, A. (2011). The impact of academic patenting on university research and its transfer. Research Policy, 40(1), 55–68.
Czarnitzki, D., Hussinger, K., & Schneider, C. (2011). Commercializing academic research: The quality of faculty patenting. Industrial and Corporate Change, 20(5), 1403–1437.
Dai, Y., Popp, D., & Bretschneider, S. (2005). Institutions and intellectual property: The influence of institutional forces on university patenting. Journal of Policy Analysis and Management, 24(3), 579–598.
Di Gregorio, D., & Shane, S. (2003). Why do some universities generate more start-ups than others? Research Policy, 32(2), 209–227.
Djokovic, D., & Souitaris, V. (2008). Spinouts from academic institutions: A literature review with suggestions for further research. Journal of Technology Transfer, 33(3), 225–247.
Etzkowitz, H. (2003). Research groups as “quasi-firms”: The invention of the entrepreneurial university. Research Policy, 32(1), 109–121.
Etzkowitz, H., Webster, A., Gebhardt, C., & Terra, B. R. C. (2000). The future of the university and the university of the future: Evolution of ivory tower to entrepreneurial paradigm. Research Policy, 29(2), 313–330.
Etzkowitz, H., & Zhou, C. (2006). Triple Helix twins: Innovation and sustainability. Science and Public Policy, 33(1), 77–83.
Feldman, M. P., & Florida, R. (1994). The geographic sources of innovation: Technological infrastructure and product innovation in the United States. Annals of the Association of American Geographers, 84(2), 210–229.
Fischer, M., & Varga, A. (2003). Spatial knowledge spillovers and university research: Evidence from Austria. Annals of Regional Science, 37(2), 303–322.
Foltz, J. D., Barham, B., & Kim, K. (2000). Universities and agricultural biotechnology patent production. Agribusiness, 16(1), 82–95.
Foltz, J. D., Kim, K., & Barham, B. (2003). A dynamic analysis of university agricultural biotechnology patent production. American Journal of Agricultural Economics, 85(1), 187–197.
Franzoni, C. (2009). Do scientists get fundamental research ideas by solving practical problems? Industrial and Corporate Change, 18(4), 671–699.
Franzoni, C., & Scellato, G. (2011). Academic patenting and the consequences for scientific research. Australian Economic Review, 44(1), 95–101.
Friedman, J., & Silberman, J. (2003). University technology transfer: Do incentives, management, and location matter? Journal of Technology Transfer, 28(1), 17–30.
Gambardella, A., & Torrisi, S. (1998). Does technological convergence imply convergence in markets? Evidence from the electronics industry. Research Policy, 27(5), 445–463.
García-Vega, M. (2006). Does technological diversification promote innovation?: An empirical analysis for European firms. Research Policy, 35(2), 230–246.
Geuna, A., & Nesta, L. J. J. (2006). University patenting and its effects on academic research: The emerging European evidence. Research Policy, 35(6), 790–807.
Geuna, A., & Rossi, F. (2011). Changes to university IPR regulations in Europe and the impact on academic patenting. Research Policy, 40(8), 1068–1076.
Granstrand, O. (1998). Towards a theory of the technology-based firm. Research Policy, 27(5), 465–489.
Greene, W. H. (2012). Econometric analysis (7th ed.). Boston: Prentice Hall.
Griliches, Z. (1979). Issues in assessing the contribution of research and development to productivity growth. Bell Journal of Economics, 10(1), 92–116.
Gurmu, S., Black, G. C., & Stephan, P. E. (2010). The knowledge production function for university patenting. Economic Inquiry, 48(1), 192–213.
Hall, B. H., & Harhoff, D. (2012). Recent research on the economics of patents. Working Paper No. w17773. National Bureau of Economic Research.
Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2001). The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools, NBER Working Paper 8498.
Henderson, R., & Cockburn, I. (1996). Scale, scope, and spillovers: The determinants of research productivity in drug discovery. RAND Journal of Economics, 27(1), 32–59.
Henderson, R., Jaffe, A. B., & Trajtenberg, M. (1998). Universities as a source of commercial technology: A detailed analysis of university patenting, 1965–1988. Review of Economics and Statistics, 80(1), 119–127.
Huang, K. G., & Murray, F. E. (2009). Does patent strategy shape the long-run supply of public knowledge? Evidence from human genetics. Academy of Management Journal, 52(6), 1193–1221.
Hunter, E. M., Perry, S. J., & Currall, S. C. (2011). Inside multi-disciplinary science and engineering research centers: The impact of organizational climate on invention disclosures and patents. Research Policy, 40(9), 1226–1239.
Jacquemin, A. P., & Berry, C. H. (1979). Entropy measure of diversification and corporate growth. The Journal of Industrial Economics, 27(4), 359–369.
Jaffe, A. B. (1989). Real effects of academic research. American Economic Review, 79(5), 957–970.
Jaffe, A. B. (2000). The US patent system in transition: Policy innovation and the innovation process. Research Policy, 29(4), 531–557.
Lerner, J. (1994). The importance of patent scope: An empirical analysis. The RAND Journal of Economics, 25(2), 319–333.
Lerner, J. (1995). Patenting in the shadow of competitors. Journal of Law and Economics, 38, 463–495.
Leten, B., Belderbos, R., & Van Looy, B. (2007). Technological diversification, coherence, and performance of firms. Journal of Product Innovation Management, 24(6), 567–579.
Lettl, C., Rost, K., & Von Wartburg, I. (2009). Why are some independent inventors ‘heroes’ and others ‘hobbyists’? The moderating role of technological diversity and specialization. Research Policy, 38(2), 243–254.
Lin, B.-W., Chen, C.-J., & Wu, H.-L. (2006). Patent portfolio diversity, technology strategy, and firm value. IEEE Transactions on Engineering Management, 53(1), 17–26.
Link, A. N., Siegel, D. S., & Bozeman, B. (2007). An empirical analysis of the propensity of academics to engage in informal university technology transfer. Industrial and Corporate Change, 16(4), 641–655.
Lissoni, F. (2012). Academic patenting in Europe: An overview of recent research and new perspectives. World Patent Information, 34(3), 197–205.
Lissoni, F., Llerena, P., McKelvey, M., & Sanditov, B. (2008). Academic patenting in Europe: New evidence from the KEINS database. Research Evaluation, 16(2), 87–102.
Lissoni, F., Pezzoni, M., Poti, B., & Romagnosi, S. (2013). University autonomy, the professor privilege and academic patenting: Italy, 1996–2007. Industry and Innovation, 20(5), 399–421.
Merges, R. P., & Nelson, R. R. (1990). On the complex economics of patent scope. Columbia Law Review, 90(4), 839–916.
Moorthy, S., & Polley, D. E. (2010). Technological knowledge breadth and depth: Performance impacts. Journal of Knowledge Management, 14(3), 359–377.
Moulton, B. R. (1990). An illustration of a pitfall in estimating the effects of aggregate variables on micro units. The Review of Economics and Statistics, 72(2), 334–338.
Mowery, D. C., Nelson, R. R., Sampat, B. N., & Ziedonis, A. A. (2001). The growth of patenting and licensing by US universities: An assessment of the effects of the Bayh–Dole act of 1980. Research Policy, 30(1), 99–119.
Mustar, P., Renault, M., Colombo, M. G., Piva, E., Fontes, M., Lockett, A., et al. (2006). Conceptualising the heterogeneity of research-based spin-offs: A multi-dimensional taxonomy. Research Policy, 35(2), 289–308.
Nerkar, A., & Shane, S. (2007). Determinants of invention commercialization: An empirical examination of academically sourced inventions. Strategic Management Journal, 28(11), 1155–1166.
O’Shea, R. P., Chugh, H., & Allen, T. J. (2008). Determinants and consequences of university spinoff activity: A conceptual framework. Journal of Technology Transfer, 33(6), 653–667.
Payne, A., & Siow, A. (2003). Does federal research funding increase university research output? Advances in Economic Analysis & Policy, 3(1), Article 1.
Pinheiro, J. C., & Chao, E. C. (2006). Efficient Laplacian and adaptive Gaussian quadrature algorithms for multilevel generalized linear mixed models. Journal of Computational and Graphical Statistics, 15, 58–81.
Quintana-García, C., & Benavides-Velasco, C. A. (2008). Innovative competence, exploration and exploitation: The influence of technological diversification. Research Policy, 37(3), 492–507.
Rabe-Hesketh, S., & Skrondal, A. (2012). Multilevel and longitudinal modeling using stata (3rd ed.). College Station, TX: Stata Press.
Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods. Thousand Oaks, CA: Sage.
Rizzo, U., & Ramaciotti, L. (2014). The determinants of academic patenting by Italian universities. Technology Analysis & Strategic Management, 26(4), 469–483.
Rosell, C., & Agrawal, A. (2009). Have university knowledge flows narrowed?: Evidence from patent data. Research Policy, 38(1), 1–13.
Rothaermel, F. T., Agung, S. D., & Jiang, L. (2007). University entrepreneurship: A taxonomy of the literature. Industrial and Corporate Change, 16(4), 691–791.
Saragossi, S., & de la Potterie, B. V. P. (2003). What patent data reveal about universities: The case of Belgium. The Journal of Technology Transfer, 28(1), 47–51.
Schartinger, D., Rammer, C., Fischer, M. M., & Fröhlich, J. (2002). Knowledge interactions between universities and industry in Austria: Sectoral patterns and determinants. Research Policy, 31(3), 303–328.
Schmoch, U., Laville, F., Patel, P., & Frietsch, R. (2003). Linking technology areas to industrial sectors, Final Report to the European Commission, DG Research.
Shane, S. (2001). Technology regimes and new firm formation. Management Science, 47(9), 1173–1190.
Siegel, D. S., Waldman, D. A., Atwater, L. E., & Link, A. N. (2004). Toward a model of the effective transfer of scientific knowledge from academicians to practitioners: Qualitative evidence from the commercialization of university technologies. Journal of Engineering and Technology Management, 21(1), 115–142.
Stephan, P. E., Gurmu, S., Sumell, A. J., & Black, G. (2007). Who’s patenting in the university? Evidence from the survey of doctorate recipients. Economics of Innovation and New Technology, 16(2), 71–99.
Sterckx, S. (2011). Patenting and licensing of university research: Promoting innovation or undermining academic values? Science and Engineering Ethics, 17(1), 45–64.
Tantiyaswasdikul, K. (2012). The impact of the breadth of patent protection and the Japanese university patents. International Journal of Innovation, Management and Technology, 3(6), 754–758.
Toh, P. K. (2014). Chicken, or the egg, or both? The interrelationship between a firm’s inventor specialization and scope of technologies. Strategic Management Journal, 35(5), 723–738.
Van Looy, B., Callaert, J., & Debackere, K. (2006). Publication and patent behavior of academic researchers: Conflicting, reinforcing or merely co-existing? Research Policy, 35(4), 596–608.
Van Looy, B., Landoni, P., Callaert, J., van Pottelsberghe, B., Sapsalis, E., & Debackere, K. (2011). Entrepreneurial effectiveness of European universities: An empirical assessment of antecedents and trade-offs. Research Policy, 40(4), 553–564.
Varga, A. (1998). University research and regional innovation: A spatial econometric analysis of academic technology transfers. Boston, MA: Kluwer.
Wade, M. R., & Gravill, J. I. (2003). Diversification and performance of Japanese IT subsidiaries: A resource-based view. Information & Management, 40(4), 305–316.
Woodward, D., Figueiredo, O., & Guimaraes, P. (2006). Beyond the Silicon Valley: University R&D and high-technology location. Journal of Urban Economics, 60(1), 15–32.
Wooldridge, J. M. (2003). Cluster-sample methods in applied econometrics. American Economic Review, 93(2), 133–138.
Zahra, S. A., Van de Velde, E., & Larrañeta, B. (2007). Knowledge conversion capability and the performance of corporate and university spin-offs. Industrial and Corporate Change, 16(4), 569–608.
Zucker, L. G., Darby, M. R., & Brewer, M. B. (1998). Intellectual human capital and the birth of U.S. biotechnology enterprises. American Economic Review, 88(1), 290–306.
Acknowledgments
The authors highly appreciate the helpful comments of an anonymous Reviewer, which significantly contributed to improving the clarity and quality of the paper. We are also grateful for the financial assistance provided by Junta de Andalucía.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Acosta, M., Coronado, D. & Martínez, M.Á. Does technological diversification spur university patenting?. J Technol Transf 43, 96–119 (2018). https://doi.org/10.1007/s10961-015-9414-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10961-015-9414-y
Keywords
- University patenting
- Technological diversification
- Entropy index
- Multilevel negative binomial model
- Knowledge production function
- European universities