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Articles

Do innovation and human capital actually narrow the technology gap? Champions and laggards of European regional productive performance

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Pages 1655-1670 | Received 21 Jul 2019, Published online: 07 Dec 2021

REFERENCES

  • Abrigo, M. R. M., & Love, I. (2016). Estimation of panel vector autoregression in Stata. The Stata Journal, 16(3), 778–804. https://doi.org/10.1177/1536867X1601600314
  • Acemoglu, D., Johnson, S., & Robinson, J. A. (2001). The colonial origins of comparative development: An empirical investigation. American Economic Review, 91(5), 1369–1401. https://doi.org/10.1257/aer.91.5.1369
  • 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. https://doi.org/10.1016/S0048-7333(01)00184-6
  • Aghion, P., & Howitt, P. (1992). A model of growth through creative destruction. Econometrica, 60(2), 323–351. https://doi.org/10.2307/2951599.
  • Allred, B. B., & Park, W. G. (2007). The influence of patent protection on firm innovation investment in manufacturing industries. Journal of International Management, 13(2), 91–109. https://doi.org/10.1016/j.intman.2007.02.001
  • Andrews, D. W. K., & Lu, B. (2001). Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models. Journal of Econometrics, 101(1), 123–164. https://doi.org/10.1016/S0304-4076(00)00077-4
  • Antonelli, C. (2012). The economics of localized technological change and industrial dynamics (Vol. 3). Springer Science & Business Media.
  • Antonelli, C., Krafft, J., & Quatraro, F. (2010). Recombinant knowledge and growth: The case of ICTs. Structural Change and Economic Dynamics, 21(1), 50–69. https://doi.org/10.1016/j.strueco.2009.12.001
  • Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D
  • Audretsch, D. B., & Feldman, M. P. (1996). R&D spillovers and the geography of innovation and production. The American Economic Review, 86(3), 630–640. https://doi.org/10.2307/2118216.
  • Banker, R. D., & Natarajan, R. (2008). Evaluating contextual variables affecting productivity using data envelopment analysis. Operations Research, 56(1), 48–58. https://doi.org/10.1287/opre.1070.0460
  • Barro, R. J., & Sala-i-Martin, X. (1997). Technological diffusion, convergence, and growth. Journal of Economic Growth, 2, 1–26. https://doi.org/10.1023/A:1009746629269.
  • 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. https://doi.org/10.1093/cjres/rsz003
  • Basile, R. (2009). Productivity polarization across regions in Europe: The role of nonlinearities and spatial dependence. International Regional Science Review, 32(1), 92–115. https://doi.org/10.1177/0160017608326944
  • Basile, R., Castellani, D., & Zanfei, A. (2008). Location choices of multinational firms in Europe: The role of EU cohesion policy. Journal of International Economics, 74(2), 328–340. https://doi.org/10.1016/j.jinteco.2007.08.006
  • Battese, G. E., Prasada Rao, D. S., & O’Donnell, C. J. (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis, 21(1), 91–103. https://doi.org/10.1023/B:PROD.0000012454.06094.29
  • Bellini, E., Ottaviano, G. I., Pinelli, D., & Prarolo, G. (2013). Cultural diversity and economic performance: evidence from European regions. In Geography, institutions and regional economic performance (pp. 121–141). Springer.
  • Boldrin, M., & Canova, F. (2001). Inequality and convergence in Europe’s regions: Reconsidering European regional policies. Economic Policy, 16(32), 206–253. https://doi.org/10.1111/1468-0327.00074
  • Boschma, R. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61–74. https://doi.org/10.1080/0034340052000320887
  • Boschma, R. (2015). Towards an evolutionary perspective on regional resilience. Regional Studies, 49(5), 733–751. https://doi.org/10.1080/00343404.2014.959481
  • Breschi, S., Malerba, F., & Orsenigo, L. (2000). Technological regimes and Schumpeterian patterns of innovation. The Economic Journal, 110(463), 388–410. https://doi.org/10.1111/1468-0297.00530
  • Broekel, T., Rogge, N., & Brenner, T. (2018). The innovation efficiency of German regions – A shared-input DEA approach. Review of Regional Research, 38(1), 77–109. https://doi.org/10.1007/s10037-017-0112-0
  • Bronzini, R., & Piselli, P. (2009). Determinants of long-run regional productivity with geographical spillovers: The role of R&D, human capital and public infrastructure. Regional Science and Urban Economics, 39(2), 187–199. https://doi.org/10.1016/j.regsciurbeco.2008.07.002
  • Caccomo, J. L. (1996). Technological evolution and economic instability: Theoretical simulations. Journal of Evolutionary Economics, 6(2), 141–155. https://doi.org/10.1007/BF01202591
  • Cambridge Econometrics. (2018). European regional database. Cambridge Econometrics.
  • Cameron, G., Proudman, J., & Redding, S. (2005). Technological convergence, R&D, trade and productivity growth. European Economic Review, 49(3), 775–807. https://doi.org/10.1016/S0014-2921(03)00070-9
  • Castellacci, F. (2011). Closing the technology gap? Review of Development Economics, 15(1), 180–197. https://doi.org/10.1111/j.1467-9361.2010.00601.x
  • Castellacci, F., & Archibugi, D. (2008). The technology clubs: The distribution of knowledge across nations. Research Policy, 37(10), 1659–1673. https://doi.org/10.1016/j.respol.2008.08.006
  • Cefis, E., & Orsenigo, L. (2001). The persistence of innovative activities: A cross-countries and cross-sectors comparative analysis. Research Policy, 30(7), 1139–1158. https://doi.org/10.1016/S0048-7333(00)00139-6
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Chen, K., & Guan, J. (2012). Measuring the efficiency of China’s regional innovation systems: Application of network data envelopment analysis (DEA). Regional Studies, 46(3), 355–377. https://doi.org/10.1080/00343404.2010.497479
  • Ciccone, A., & Papaioannou, E. (2009). Human capital, the structure of production, and growth. The Review of Economics and Statistics, 91(1), 66–82. https://doi.org/10.1162/rest.91.1.66
  • Coe, D. T., & Helpman, E. (1995). International R&D spillovers. European Economic Review, 39(5), 859–887. https://doi.org/10.1016/0014-2921(94)00100-E
  • Cohen, W. M., Goto, A., Nagata, A., Nelson, R. R., & Walsh, J. P. (2002). R&D spillovers, patents and the incentives to innovate in Japan and the United States. Research Policy, 31(8–9), 1349–1367. https://doi.org/10.1016/S0048-7333(02)00068-9
  • Cohen, W. M., & Levinthal, D. A. (1989). Innovation and learning: The two faces of R&D. The Economic Journal, 99(397), 569–596. https://doi.org/10.2307/2233763
  • Cook, W. D., & Seiford, L. M. (2009). Data envelopment analysis (DEA) – Thirty years on. European Journal of Operational Research, 192(1), 1–17. https://doi.org/10.1016/j.ejor.2008.01.032
  • Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Data envelopment analysis: history, models, and interpretations. In W. Cooper, L. Seiford, & J. Zhu (Eds.), Handbook on data envelopment analysis. Springer. https://doi.org/10.1007/978-1-4419-6151-8_1
  • Czarnitzki, D., & Kraft, K. (2012). Spillovers of innovation activities and their profitability. Oxford Economic Papers, 64(2), 302–322. https://doi.org/10.1093/oep/gpr020
  • De Bondt, R. (1997). Spillovers and innovative activities. International Journal of Industrial Organization, 15(1), 1–28. https://doi.org/10.1016/S0167-7187(96)01023-5
  • 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. https://doi.org/10.1016/j.respol.2017.09.006
  • Destefanis, S., & Sena, V. (2005). Public capital and total factor productivity: New evidence from the Italian regions, 1970–98. Regional Studies, 39(5), 603–617. https://doi.org/10.1080/00343400500151863
  • Dettori, B., Marrocu, E., & Paci, R. (2012). Total factor productivity, intangible assets and spatial dependence in the European regions. Regional Studies, 46(10), 1401–1416. https://doi.org/10.1080/00343404.2010.529288
  • Ding, X. H., & Huang, R. H. (2010). Effects of knowledge spillover on inter-organizational resource sharing decision in collaborative knowledge creation. European Journal of Operational Research, 201(3), 949–959. https://doi.org/10.1016/j.ejor.2009.04.008
  • Dosi, G. (1982). Technological paradigms and technological trajectories. A suggested interpretation of the determinants and directions of technical change. Research Policy, 2(3), I47–I62. https://doi.org/10.1016/0048-7333(82)90016-6
  • Dosi, G., Lechevalier, S., & Secchi, A. (2010). Introduction: Interfirm heterogeneity – Nature, sources and consequences for industrial dynamics. Industrial and Corporate Change, 19(6), 1867–1890. https://doi.org/10.1093/icc/dtq062
  • Emrouznejad, A., & Yang, G. L. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-economic Planning Sciences, 61, 4–8. https://doi.org/10.1016/j.seps.2017.01.008
  • Enflo, K., & Hjertstrand, P. (2009). Relative sources of European regional productivity convergence: A bootstrap frontier approach. Regional Studies, 43(5), 643–659. https://doi.org/10.1080/00343400701874198
  • Ezcurra, R., Iraizoz, B., & Pascual, P. (2009). Total factor productivity, efficiency, and technological change in the European regions: A nonparametric approach. Environment and Planning A, 41(5), 1152–1170. https://doi.org/10.1068/a40362
  • Faber, J., & Hesen, A. B. (2004). Innovation capabilities of European nations: Cross-national analyses of patents and sales of product innovations. Research Policy, 33(2), 193–207. https://doi.org/10.1016/S0048-7333(03)00122-7
  • Fagerberg, J. (1994). Technology and international differences in growth rates. Journal of Economic Literature, 32(3), 1147–1175. https://doi.org/10.1016/S0954-349X(00)00025-4
  • Fagerberg, J. (2000). Technological progress, structural change and productivity growth: A comparative study. Structural Change and Economic Dynamics, 11(4), 393–411. https://doi.org/10.1016/S0954-349X(00)00025-4
  • Fagerberg, J., & Srholec, M. (2017a). Capabilities, economic development, sustainability. Cambridge Journal of Economics, 41(3), 905–926. https://doi.org/10.1093/cje/bew061
  • Fagerberg, J., & Srholec, M. (2017b). Explaining regional economic performance: The role of competitiveness, specialization and capabilities. In Handbook of regions and competitiveness: Contemporary theories and perspectives on economic development. https://doi.org/10.4337/9781783475018.
  • Fagerberg, J., & Srholec, M. (2017c). Global dynamics, capabilities and the crisis. In Foundations of economic change (pp. 83–106). Springer.
  • Fare, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American Economic Review, 84(1), 66–83. https://doi.org/10.2307/2117971
  • Filippetti, A., & Peyrache, A. (2015). Labour productivity and technology gap in European regions: A conditional frontier approach. Regional Studies, 49(4), 532–554. https://doi.org/10.1080/00343404.2013.799768
  • Fleming, L. (2001). Recombinant uncertainty in technological search. Management Science, 47(1), 117–132. https://doi.org/10.1287/mnsc.47.1.117.10671
  • Foddi, M., & Usai, S. (2013). Regional knowledge performance in Europe. Growth and Change, 44(2), 258–286. https://doi.org/10.1111/grow.12007
  • Frenken, K., Van Oort, F., & Verburg, T. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies, 41(5), 685–697. https://doi.org/10.1080/00343400601120296
  • Gardiner, B., Martin, R., & Tyler, P. (2004). Competitiveness, productivity and economic growth across the European regions. Regional Studies, 38(9), 1037–1059. https://doi.org/10.1080/0034340042000292638
  • Gil, C. C., Pascual, A. P., & Rapún, G. M. (2003). Productivity, public capital and convergence: A study of the Spanish regions. Tijdschrift voor economishe en sociale geografie, 94(5), 537–553. https://doi.org/10.1046/j.1467-9663.2003.00281.x
  • Girma, S. (2005). Absorptive capacity and productivity spillovers from FDI: A threshold regression analysis. Oxford Bulletin of Economics and Statistics, 67(3), 281–306. https://doi.org/10.1111/j.1468-0084.2005.00120.x
  • Gkypali, A., Kounetas, K., & Tsekouras, K. (2019). European countries’ competitiveness and productive performance evolution: Unraveling the complexity in a heterogeneity context. Journal of Evolutionary Economics, 29(2), 665–695. https://doi.org/10.1007/s00191-018-0589-x
  • Griliches, Z. (1980). R&D and the productivity slowdown. American Economic Review, 70(2), 546–551. https://doi.org/10.3386/w0434
  • Gui, Q., Liu, C., & Du, D. (2018). International knowledge flows and the role of proximity. Growth and Change, 49(3), 532–547. https://doi.org/10.1111/grow.12245
  • Haas, D. A., & Murphy, F. H. (2003). Compensating for non-homogeneity in decision-making units in data envelopment analysis. European Journal of Operational Research, 144(3), 530–544. https://doi.org/10.1016/S0377-2217(02)00139-X
  • Hidalgo, C. A., Klinger, B., Barabási, A.-L., & Hausmann, R. (2007). The product space conditions the development of nations. Science, 317(5837), 482–487. https://doi.org/10.1126/science.1144581
  • Holtz-Eakin, D., Newey, W., & Rosen, H. S. (1988). Estimating vector autoregressions with panel data. Econometrica: Journal of the Econometric Society, 1371–1395. https://doi.org/10.2307/1913103.
  • Jordaan, J. A. (2017). Producer firms, technology diffusion and spillovers to local suppliers: Examining the effects of foreign direct investment and the technology gap. Environment and Planning A: Economy and Space, 49(12), 2718–2738. https://doi.org/10.1177/0308518X17731942
  • Kalapouti, K., Petridis, K., Malesios, C., & Dey, P. K. (2020). Measuring efficiency of innovation using combined data envelopment analysis and structural equation modeling: Empirical study in EU regions. Annals of Operations Research, 294(1), 297–320.
  • Kanwar, S. (2007). Business enterprise R&D, technological change, and intellectual property protection. Economics Letters, 96(1), 120–126. https://doi.org/10.1016/j.econlet.2006.12.020
  • Kitson, M., Martin, R., & Tyler, P. (2004). Regional competitiveness: An elusive yet key concept? Regional Studies, 38(9), 991–999. https://doi.org/10.1080/0034340042000320816
  • Kontolaimou, A., Kounetas, K., Mourtos, I., & Tsekouras, K. (2012). Technology gaps in European banking: Put the blame on inputs or outputs? Economic Modelling, 29(5), 1798–1808. https://doi.org/10.1016/j.econmod.2012.05.028
  • Kontolaimou, A., & Tsekouras, K. (2010). Are cooperatives the weakest link in European banking? A non-parametric metafrontier approach. Journal of Banking & Finance, 34(8), 1946–1957. https://doi.org/10.1016/j.jbankfin.2010.01.003
  • Kounetas, K. (2015). Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries. Energy Policy, 83, 277–287. https://doi.org/10.1016/j.enpol.2015.01.036
  • Kounetas, K., & Napolitano, O. (2018). Modeling the incidence of international trade on Italian regional productive efficiency using a meta-frontier DEA approach. Economic Modelling, 71, 45–58. https://doi.org/10.1016/j.econmod.2017.11.020
  • Krugman, P. R. (1991). Increasing returns and economic geography. Journal of Political Economy, 99(3), 483–499. https://doi.org/10.1086/261763
  • Lall, S. (1992). Technological capabilities and industrialization. World Development, 20(2), 165–186. https://doi.org/10.1016/0305-750X(92)90097-F
  • Lee, C. Y. (2010). A theory of firm growth: Learning capability, knowledge threshold, and patterns of growth. Research Policy, 39(2), 278–289. https://doi.org/10.1016/j.respol.2009.12.008
  • Los, B., & Timmer, M. P. (2005). The ‘appropriate technology’ explanation of productivity growth differentials: An empirical approach. Journal of Development Economics, 77(2), 517–531. https://doi.org/10.1016/j.jdeveco.2004.04.001
  • Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42. https://doi.org/10.1016/0304-3932(88)90168-7
  • Lütkepohl, H. (2005). New introduction to multiple time series analysis. New Introduction to Multiple Time Series Analysis, https://doi.org/10.1007/978-3-540-27752-1
  • Martin, R., & Sunley, P. (1998). Slow convergence? The new endogenous growth theory and regional development. Economic Geography, 74(3), 201–227. https://doi.org/10.2307/144374
  • Maudos, J., Pastor, J. M., & Serrano, L. (2000). Efficiency and productive specialization: An application to the Spanish regions. Regional Studies, 34(9), 829–842. https://doi.org/10.1080/00343400020002967
  • McCann, P., & Ortega-Argilés, R. (2015). Smart specialization, regional growth and applications to European Union cohesion policy. Regional Studies, 49(8), 1291–1302. https://doi.org/10.1080/00343404.2013.799769
  • McCann, P., & Van Oort, F. (2019). Theories of agglomeration and regional economic growth: A historical review. In Handbook of regional growth and development theories. Edward Elgar Publish.
  • Miguélez, E., & Moreno, R. (2015). Knowledge flows and the absorptive capacity of regions. Research Policy, 44(4), 833–848. https://doi.org/10.1016/j.respol.2015.01.016
  • Moreno, R., Paci, R., & Usai, S. (2005). Spatial spillovers and innovation activity in European regions. Environment and Planning A, 37(10), 1793–1812. https://doi.org/10.1068/a37341
  • Murillo-Zamorano, L. R. (2004). Economic efficiency and frontier techniques. Journal of Economic Surveys, 18(1), 33–77. https://doi.org/10.1111/j.1467-6419.2004.00215.x
  • Neffke, F., & Henning, M. (2013). Skill-relatedness and firm diversification. Strategic Management Journal, 34(3), 297–316. https://doi.org/10.1002/smj.2014
  • Nelson, R., & Phelps, E. (1966). Investment in humans, technology diffusion and economic growth. The American Economic Review, 56(1/2), 69–75.
  • Nooteboom, B. (2000). Learning by interaction: Absorptive capacity, cognitive distance and governance. Journal of Management and Governance, 4(1–2), 69–92. https://doi.org/10.1023/A:1009941416749
  • 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. https://doi.org/10.1016/j.respol.2007.04.003
  • O’Donnell, C. J., Rao, D. S. P., & Battese, G. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, 34(2), 231–255. https://doi.org/10.1007/s00181-007-0119-4
  • Ottaviano, G. I., & Pinelli, D. (2006). Market potential and productivity: Evidence from Finnish regions. Regional Science and Urban Economics, 36(5), 636–657. https://doi.org/10.1016/j.regsciurbeco.2006.06.005
  • Oughton, C., Landabaso, M., & Morgan, K. (2002). The regional innovation paradox: Innovation policy and industrial policy. The Journal of Technology Transfer, 27(1), 97–110. https://doi.org/10.1023/A:1013104805703
  • Paci, R., & Usai, S. (2009). Knowledge flows across European regions. The Annals of Regional Science, 43(3), 669–690. https://doi.org/10.1007/s00168-008-0256-5
  • Reichstein, T., & Salter, A. (2006). Investigating the sources of process innovation among UK manufacturing firms. Industrial and Corporate Change, 15(4), 653–682. https://doi.org/10.1093/icc/dtl014
  • Rodríguez-Pose, A., & Ketterer, T. (2020). Institutional change and the development of lagging regions in Europe. Regional Studies, 54(7), 974–986. https://doi.org/10.1080/00343404.2019.1608356
  • Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5, Part 2), S71–S102. https://doi.org/10.3386/w3210
  • Segerstrom, P. S., Anant, T. C. A., & Dinopoulos, E. (1990). A Schumpeterian model of the product life cycle. The American Economic Review, 80(5), 1077–1091. https://doi.org/10.2307/2006762.
  • Simar, L., & Wilson, P. W. (1998). Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management Science, 44(1), 49–61. https://doi.org/10.1287/mnsc.44.1.49
  • Simar, L., & Wilson, P. W. (1999). Of course we can bootstrap DEA scores! But does it mean anything? Logic trumps wishful thinking. Journal of Productivity Analysis 11, 93–97. https://doi.org/10.1023/A:1007739507007
  • Simar, L., & Wilson, P. W. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 136(1), 31–64. https://doi.org/10.1016/j.jeconom.2005.07.009
  • Stavropoulos, S., van Oort, F. G., & Burger, M. J. (2020). Heterogeneous relatedness and firm productivity. The Annals of Regional Science, 1–35. https://doi.org/10.1007/s00168-020-00988-2
  • Tsekouras, K., Chatzistamoulou, N., & Kounetas, K. (2017). Productive performance, technology heterogeneity and hierarchies: Who to compare with whom. International Journal of Production Economics, 193, 465–478. https://doi.org/10.1016/j.ijpe.2017.08.010
  • Tsekouras, K., Chatzistamoulou, N., Kounetas, K., & Broadstock, D. C. (2016). Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity. Technological Forecasting and Social Change, 102, 261–274. https://doi.org/10.1016/j.techfore.2015.09.008
  • Tsekouras, K., Papathanassopoulos, F., Kounetas, K., & Pappous, G. (2010). Does the adoption of new technology boost productive efficiency in the public sector? The case of ICUs system. International Journal of Production Economics, 128(1), 427–433. https://doi.org/10.1016/j.ijpe.2010.07.041
  • Tzeremes, N. G. (2014). The effect of human capital on countries’ economic efficiency. Economics Letters, 124(1), 127–131. https://doi.org/10.1016/j.econlet.2014.05.006
  • Varsakelis, N. C. (2001). The impact of patent protection, economy openness and national culture on R&D investment: A cross-country empirical investigation. Research Policy, 30(7), 1059–1068. https://doi.org/10.1016/S0048-7333(00)00130-X
  • Wang, Q., Zhao, Z., Zhou, P., & Zhou, D. (2013). Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach. Economic Modelling, 35, 283–289. https://doi.org/10.1016/j.econmod.2013.07.017
  • Young, A. (1995). The tyranny of numbers: Confronting the statistical realities of the East Asian growth experience. The Quarterly Journal of Economics, 110(3), 641–680. https://doi.org/10.2307/2946695
  • Zabala-Iturriagagoitia, J. M., Voigt, P., Gutiérrez-Gracia, A., & Jiménez-Sáez, F. (2007). Regional innovation systems: How to assess performance. Regional Studies, 41(5), 661–672. https://doi.org/10.1080/00343400601120270

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