Enhancing the inventive capacity of European regions through interregional collaboration

REFERENCES

• Acs, Z. J., Anselin, L., & Varga, A. (2002). Patents and innovation counts as measures of regional production of new knowledge. Research Policy, 31(7), 1069–1085. doi:10.1016/S0048-7333(01)00184-6
   Web of Science ®Google Scholar
• Apa, R., De Noni, I., Orsi, L., & Sedita, S. R. (2018). Knowledge space oddity: How to increase the intensity and relevance of the technological progress of European regions. Research Policy, 47(9), 1700–1712. doi:10.1016/j.respol.2018.06.002
   Web of Science ®Google Scholar
• Argote, L., & Ingram, P. (2000). Knowledge transfer: A basis for competitive advantage in firms. Organizational Behavior and Human Decision Processes, 82(1), 150–169. doi:10.1006/obhd.2000.2893
   Web of Science ®Google Scholar
• Balland, P. A., & Boschma, R. (2021). Complementary interregional linkages and smart specialisation: An empirical study on European regions. Regional Studies, 55(6), 1059–1070. doi:10.1080/00343404.2020.1861240
   Web of Science ®Google Scholar
• Balland, P. A., Boschma, R., Crespo, J., & Rigby, D. L. (2019). Smart specialization policy in the European union: Relatedness, knowledge complexity and regional diversification. Regional Studies, 53(9), 1252–1268. doi:10.1080/00343404.2018.1437900
   Web of Science ®Google Scholar
• Balland, P. A., Jara-Figueroa, C., Petralia, S. G., Steijn, M. P., Rigby, D. L., & Hidalgo, C. A. (2020). Complex economic activities concentrate in large cities. Nature Human Behaviour, 4(3), 248–254. doi:10.1038/s41562-019-0803-3
   PubMed Web of Science ®Google Scholar
• Barzotto, M., Corradini, C., Fai, F. M., Labory, S., & Tomlinson, P. R. (2019). Enhancing innovative capabilities in lagging regions: An extra-regional collaborative approach to RIS3. Cambridge Journal of Regions, Economy and Society, 12(2), 213–232. doi:10.1093/cjres/rsz003
   Web of Science ®Google Scholar
• Barzotto, M., Corradini, C., Fai, F. M., Labory, S., & Tomlinson, P. R. (Eds.). (2020). Revitalising lagging regions: Smart Specialisation and Industry 4.0. Taylor & Francis.
   Google Scholar
• Bathelt, H., Malmberg, A., & Maskell, P. (2004). Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation. Progress in Human Geography, 28(1), 31–56. doi:10.1191/0309132504ph469oa
   Web of Science ®Google Scholar
• Boschma, R. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61–74. doi:10.1080/0034340052000320887
   Web of Science ®Google Scholar
• Boschma, R. A., & Iammarino, S. (2009). Related variety, trade linkages, and regional growth in Italy. Economic Geography, 85(3), 289–311. doi:10.1111/j.1944-8287.2009.01034.x
   Web of Science ®Google Scholar
• Boschma, R., Balland, P. A., & Kogler, D. F. (2015). Relatedness and technological change in cities: The rise and fall of technological knowledge in US metropolitan areas from 1981 to 2010. Industrial and Corporate Change, 24(1), 223–250. doi:10.1093/icc/dtu012
   Web of Science ®Google Scholar
• Cecere, G., & Corrocher, N. (2015). The intensity of interregional cooperation in information and communication technology projects: An empirical analysis of the framework programme. Regional Studies, 49(2), 204–218. doi:10.1080/00343404.2012.759651
   Web of Science ®Google Scholar
• Content, J., & Frenken, K. (2016). Related variety and economic development: A literature review. European Planning Studies, 24(12), 2097–2112.
   Web of Science ®Google Scholar
• Corradini, C., & De Propris, L. (2015). Technological diversification and new innovators in European regions: Evidence from patent data. Environment and Planning A, 47(10), 2170–2186. doi:10.1177/0308518X15599285
   Web of Science ®Google Scholar
• De Noni, I., & Belussi, F. (2021). Breakthrough invention performance of multispecialized clustered regions in Europe. Economic Geography, 97(2), 164–186. doi:10.1080/00130095.2021.1894924
   Web of Science ®Google Scholar
• De Noni, I., Ganzaroli, A., & Orsi, L. (2017). The impact of intra- and inter-regional knowledge collaboration and technological variety on the knowledge productivity of European regions. Technological Forecasting and Social Change, 117, 108–118. doi:10.1016/j.techfore.2017.01.003
   Web of Science ®Google Scholar
• De Noni, I., Ganzaroli, A., & Pilotti, L. (2021). Spawning exaptive opportunities in European regions: The missing link in the smart specialization framework. Research Policy, 50(6), 104265. doi:10.1016/j.respol.2021.104265
   Web of Science ®Google Scholar
• De Noni, I., Orsi, L., & Belussi, F. (2018). The role of collaborative networks in supporting the innovation performances of lagging-behind European regions. Research Policy, 47(1), 1–13. doi:10.1016/j.respol.2017.09.006
   Web of Science ®Google Scholar
• Frenken, K., Van Oort, F., & Verburg, T. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies, 41(5), 685–697. doi:10.1080/00343400601120296
   Web of Science ®Google Scholar
• Hagedoorn, J., Lokshin, B., & Zobel, A. K. (2018). Partner type diversity in alliance portfolios: Multiple dimensions, boundary conditions and firm innovation performance. Journal of Management Studies, 55(5), 809–836. doi:10.1111/joms.12326
   Web of Science ®Google Scholar
• Han, J., Jo, G. S., & Kang, J. (2018). Is high-quality knowledge always beneficial? Knowledge overlap and innovation performance in technological mergers and acquisitions. Journal of Management & Organization, 24(2), 258–278. doi:10.1017/jmo.2016.35
   Web of Science ®Google Scholar
• Higham, K., De Rassenfosse, G., & Jaffe, A. B. (2021). Patent quality: Towards a systematic framework for analysis and measurement. Research Policy, 50(4), 1–26. doi:10.1016/j.respol.2021.104215
   Web of Science ®Google Scholar
• Kogler, D. F., Whittle, A., Kim, K., & Lengyel, B. (2023). Understanding regional branching: Knowledge diversification via inventor and firm collaboration networks. Economic Geography, 1–28. doi:10.1080/00130095.2023.2242551
   Web of Science ®Google Scholar
• Laursen, K., & Salter, A. (2006). Open for innovation: The role of openness in explaining innovation performance among UK manufacturing firms. Strategic Management Journal, 27(2), 131–150. doi:10.1002/smj.507
   Web of Science ®Google Scholar
• Mannucci, P. V., & Yong, K. (2018). The differential impact of knowledge depth and knowledge breadth on creativity over individual careers. Academy of Management Journal, 61(5), 1741–1763. doi:10.5465/amj.2016.0529
   Web of Science ®Google Scholar
• Mascarini, S., Garcia, R., & Quatraro, F. (2023). Local knowledge spillovers and the effects of related and unrelated variety on the novelty of innovation. Regional Studies, 57(9), 1666–1680. doi:10.1080/00343404.2022.2147917
   Web of Science ®Google Scholar
• Miguelez, E., & Moreno, R. (2018). Relatedness, external linkages and regional innovation in Europe. Regional Studies, 52(5), 688–701. doi:10.1080/00343404.2017.1360478
   Web of Science ®Google Scholar
• Moaniba, I. M., Su, H. N., & Lee, P. C. (2019). On the drivers of innovation: Does the co-evolution of technological diversification and international collaboration matter? Technological Forecasting and Social Change, 148, 1–16. doi:10.1016/j.techfore.2019.119710
   Web of Science ®Google Scholar
• Nooteboom, B., Van Haverbeke, W., Duysters, G., Gilsing, V., & Van den Oord, A. (2007). Optimal cognitive distance and absorptive capacity. Research Policy, 36(7), 1016–1034. doi:10.1016/j.respol.2007.04.003
   Web of Science ®Google Scholar
• Oguz, F., & Sengün, A. E. (2011). Mystery of the unknown: Revisiting tacit knowledge in the organizational literature. Journal of Knowledge Management, 15(3), 445–461. doi:10.1108/13673271111137420
   Web of Science ®Google Scholar
• Perri, A., & Santangelo, G. D. (2023). Close together or far apart? The geography of host-country knowledge sourcing and MNCs’ innovation performance. Regional Studies, 57(2), 370–383. doi:10.1080/00343404.2022.2084058
   Web of Science ®Google Scholar
• Rodríguez-Pose, A., & Ketterer, T. (2020). Institutional change and the development of lagging regions in Europe. Regional Studies, 54(7), 974–986. doi:10.1080/00343404.2019.1608356
   Web of Science ®Google Scholar
• Sun, Y., & Cao, C. (2015). Intra- and inter-regional research collaboration across organizational boundaries: Evolving patterns in China. Technological Forecasting and Social Change, 96, 215–231. doi:10.1016/j.techfore.2015.03.013
   Web of Science ®Google Scholar
• Trippl, M., Zukauskaite, E., & Healy, A. (2019). Shaping smart specialization: The role of place-specific factors in advanced, intermediate and less-developed European regions. Regional Studies.
   Google Scholar
• Ullah, S., Akhtar, P., & Zaefarian, G. (2018). Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data. Industrial Marketing Management, 71, 69–78. doi:10.1016/j.indmarman.2017.11.010
   Web of Science ®Google Scholar
• Uyarra, E., Marzocchi, C., & Sorvik, J. (2018). How outward looking is smart specialisation? Rationales, drivers and barriers. European Planning Studies, 26(12), 2344–2363. doi:10.1080/09654313.2018.1529146
   Web of Science ®Google Scholar
• Uygur, U. (2013). Determinants of causal ambiguity and difficulty of knowledge transfer within the firm. Journal of Management & Organization, 19(6), 742–755. doi:10.1017/jmo.2014.12
   Web of Science ®Google Scholar
• Van der Wouden, F., & Rigby, D. L. (2019). Co-inventor networks and knowledge production in specialized and diversified cities. Papers in Regional Science, 98(4), 1833–1853. doi:10.1111/pirs.12432
   Web of Science ®Google Scholar
• Wintoki, M. B., Linck, J. S., & Netter, J. M. (2012). Endogeneity and the dynamics of internal corporate governance. Journal of Financial Economics, 105(3), 581–606. doi:10.1016/j.jfineco.2012.03.005
   Web of Science ®Google Scholar
• Xu, S., & Cavusgil, E. (2019). Knowledge breadth and depth development through successful R&D alliance portfolio configuration: An empirical investigation in the pharmaceutical industry. Journal of Business Research, 101, 402–410. doi:10.1016/j.jbusres.2019.04.030
   Web of Science ®Google Scholar