Spill over or Spill out? – A multilevel analysis of the cluster and firm performance relationship

References

• Ahuja, G. 2000. “Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study.” Administrative Science Quarterly 45 (3): 425–455. doi: https://doi.org/10.2307/2667105.
   Web of Science ®Google Scholar
• Aschhoff, B., and T. Schmidt. 2008. “Empirical Evidence on the Success of R&D Cooperation—Happy Together?” Review of Industrial Organization 33 (1): 41–62. doi: https://doi.org/10.1007/s11151-008-9179-7.
   Web of Science ®Google Scholar
• Audretsch, D. B., and M. P. Feldman. 1996. “Innovative Clusters and the Industry Life Cycle.” Review of Industrial Organization 11 (2): 253–273. doi: https://doi.org/10.1007/BF00157670.
   Web of Science ®Google Scholar
• Baldwin, J. R., D. Beckstead, W. M. Brown, and D. L. Rigby. 2008. “Agglomeration and the Geography of Localization Economies in Canada.” Regional Studies 42 (1): 117–132. doi: https://doi.org/10.1080/00343400701543199.
   Web of Science ®Google Scholar
• Baltagi, B. H. 2005. Econometric Analysis of Panel Data. England: John Wiley & Sons Ltd, West Sussex.
   Google Scholar
• Baptista, R., and P. Swann. 1998. “Do Firms in clusters Innovate More?” Research Policy 27 (5): 525–540. doi: https://doi.org/10.1016/S0048-7333(98)00065-1.
   Web of Science ®Google Scholar
• Barney, J. B. 1991. “Firm Resources and Sustained Competitive Advantage.” Journal of Management 17 (1): 99–120. doi: https://doi.org/10.1177/014920639101700108.
   Web of Science ®Google Scholar
• Bathelt, H., A. Malmberg, and P. Maskell. 2004. “Clusters and Knowledge: Local Buzz, Global Pipelines and the Process of Knowledge Creation.”Progress in Human Geography 28 (1): 31–56. doi: https://doi.org/10.1191/0309132504ph469oa.
   Web of Science ®Google Scholar
• Beaudry, C., and S. Breschi. 2003. “Are Firms in Clusters Really More Innovative?” Economics of Innovation and New Technology 12 (4): 325–342. doi: https://doi.org/10.1080/10438590290020197.
   Google Scholar
• Bell, G. G. 2005. “Clusters, Networks, and Firm Innovativeness.” Strategic Management Journal 26 (3): 287–295. doi: https://doi.org/10.1002/smj.448.
   Web of Science ®Google Scholar
• Belsley, D. A. 1991. Conditioning Diagnostics: Collinearity and Weak Data in Regression. New York: Wiley.
   Google Scholar
• Boschma, R. 2005. “Proximity and Innovation: A Critical Assessment.” Regional Studies 39 (1): 61–74. doi: https://doi.org/10.1080/0034340052000320887.
   Web of Science ®Google Scholar
• Boschma, R., and K. Frenken. 2010. “The Spatial Evolution of Innovation Networks. A Proximity Perspective.” In Handbook of Evolutionary Economic Geography, edited by R. Boschma and R. Martin, 120–138. Cheltenham: Edward Elgar.
   Google Scholar
• Brenner, T. (2017): “Identification of Clusters – An Actor-based Approach”, Working Papers on Innovation and Space, No. 02.17, Philipps University Marburg.
   Google Scholar
• Broekel, T. 2015. “The Co-evolution of Proximities – A Network Level Study.” Regional Studies 49 (6): 921–935. doi: https://doi.org/10.1080/00343404.2014.1001732.
   Web of Science ®Google Scholar
• Broekel, T., D. Fornahl, and A. Morrison. 2015. “Another Cluster Premium: Innovation Subsidies and R&D Collaboration Networks.” Research Policy 44 (8): 1431–1444. doi: https://doi.org/10.1016/j.respol.2015.05.002.
   Web of Science ®Google Scholar
• Broekel, T., and H. Graf. 2012. “Public Research Intensity and the Structure of German R&D Networks: A Comparison of 10 Technologies.” Economics of Innovation and New Technology 21 (4): 345–372. doi: https://doi.org/10.1080/10438599.2011.582704.
   Google Scholar
• Broekel, T., and R. Boschma. 2012. “Knowledge Networks in the Dutch Aviation Industry: The Proximity Paradox.” Journal of Economic Geography 12 (2): 409–433. doi: https://doi.org/10.1093/jeg/lbr010.
   Web of Science ®Google Scholar
• Brown, K., J. Burgees, M. Festing, S. Royer, and C. Steffen (2007): “The Value Adding Web – A Conceptual Framework of Competitive Advantage Realisation in Clusters”, ESCP-EAP Working Paper, No. 27, ISSN: 1619-7658.
   Google Scholar
• Cameron, A. C., and P. K. Trivedi. 2005. Microeconometrics - Methods and Applications. NY, USA: Cambridge University Press.
   Google Scholar
• Clark, K. B. 1985. “The Interaction of Design Hierarchies and Market Concepts in Technological Evolution.” Research Policy 14 (5): 235–251. doi: https://doi.org/10.1016/0048-7333(85)90007-1.
   Web of Science ®Google Scholar
• Cohen, W. M., and D. A. Levinthal.1990.“Absorptive Capacity: A New Perspective on Learning and Innovation”.Administrative Science Quarterly 351: 128–152. Special Issue: Technology. doi: https://doi.org/10.2307/2393553.
   Web of Science ®Google Scholar
• Cooper, A. C., and D. Schendel. 1976. “Strategic Responses to Technological Threats.” Business Horizons 19 (1): 61–69. doi: https://doi.org/10.1016/0007-6813(76)90024-0.
   Web of Science ®Google Scholar
• Czarnitzki, D., and S. Thorwarth. 2012. “Productivity Effects of Basic Research in Low-tech and High-tech Industries.” Research Policy 41 (9): 1555–1564. doi: https://doi.org/10.1016/j.respol.2012.04.009.
   Web of Science ®Google Scholar
• Daft, R. L., and R. H. Lengel. 1986. “Organizational Information Requirements, Media Richness and Structural Design.” Management Science 32 (5): 554–571. doi: https://doi.org/10.1287/mnsc.32.5.554.
   Web of Science ®Google Scholar
• De Silva, D. G., and R. P. McComb. 2012. “Geographic Concentration and High Tech Firm Survival.” Regional Science and Urban Economics 42 (4): 691–701. doi: https://doi.org/10.1016/j.regsciurbeco.2012.03.001.
   Web of Science ®Google Scholar
• Delgado, M. 2018. “Firms in Context: Internal and External Drivers of Success.” In The New Oxford Handbook of Economic Geography, edited by G. L. Clark, M. P. Feldman, M. S. Gertler, and D. Wójcik, 324–346, Oxford, UK: Oxford University Press.
   Google Scholar
• Duranton, G., and W. R. Kerr (2015): “The Logic of Agglomeration, NBER Working Paper, No. 21452”, https://doi.org/10.3386/w21452.
   Google Scholar
• Duschl, M., T. Scholl, T. Brenner, D. Luxen, and F. Raschke. 2015. “Industry-specific Firm Growth and Agglomeration.” Regional Studies 49 (11): 1822–1839. doi: https://doi.org/10.1080/00343404.2013.861059.
   Web of Science ®Google Scholar
• Dyer, J. H., and H. Singh. 1998. “The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage.” The Academy of Management Review 23 (4): 660–679. doi: https://doi.org/10.5465/amr.1998.1255632.
   Web of Science ®Google Scholar
• Dziallas, M., and K. Blind. 2019. “Innovation Indicators Throughout the Innovation Process: An Extensive Literature Analysis.” Technovation 80-81: 3–29.
   Web of Science ®Google Scholar
• Ebert, T., J. E. Gebauer, T. Brenner, W. Bleidorn, S. D. Gosling, J. Potter, and P. J. Rentfrow (2019): “Are Regional Differences in Personality and Their Correlates Robust? Applying Spatial Analysis Techniques to Examine Regional Variation in Personality across the US and Germany”, Working Papers on Innovation and Space, No. 05.19, Philipps University Marburg.
   Google Scholar
• Eder, J. 2019. “Innovation in the Periphery: A Critical Survey and Research Agenda.” International Regional Science Review 42 (2): 119–146. doi: https://doi.org/10.1177/0160017618764279.
   Web of Science ®Google Scholar
• Engel, D., M. Rothgang, and V. Eckl. 2016. “Systemic Aspects of R&D Policy Subsidies for R&D Collaborations and Their Effects on Private R&D.” Industry and Innovation 23 (2): 206–222. doi: https://doi.org/10.1080/13662716.2016.1146127.
   Web of Science ®Google Scholar
• European Cluster Observatory (2018): “Methodology – Indicators”, available under http://wwwclusterobservatoryeu/indexhtml#!view=aboutobservatory;url=/about-observatory/methodology/indicators/,lastretrieved:04102018, last retrieved: 04.10.2018.
   Google Scholar
• European Commission (2008): “The Concept of Clusters and Cluster Policies and Their Role for Competitiveness and Innovation: Main Statistical Results and Lessons Learned”, Europe INNOVA/PRO INNO Europe paper N° 9.
   Google Scholar
• EuropeanCommission. 2016. Smart Guide to Cluster Policy, Guidebook Series: How to Support SME Policy from Structural Funds. Belgium: European Union doi: https://doi.org/10.2873/729624.
   Google Scholar
• Festing, M., S. Royer, and C. Steffen. 2012. “Unternehmenscluster schaffen Wettbewerbsvorteile - Eine Analyse des Uhrenclusters in Glashütte.” Zeitschrift Führung und Organisation 81 (4): 264–272.
   Google Scholar
• Folta, T. B., A. C. Cooper, and Y. Baik. 2006. “Geographic Cluster Size and Firm Performance.” Journal of Business Venturing 21 (2): 217–242. doi: https://doi.org/10.1016/j.jbusvent.2005.04.005.
   Web of Science ®Google Scholar
• Fornahl, D., T. Broekel, and R. Boschma. 2011. “What Drives Patent Performance of German Biotech Firms? The Impact of R&D Subsidies, Knowledge Networks and Their Location.” Papers in Regional Science 90 (2): 395–418. doi: https://doi.org/10.1111/j.1435-5957.2011.00361.x.
   Web of Science ®Google Scholar
• Frenken, K., E. Cefis, and E. Stam (2013): “Industrial Dynamics and Clusters: A Survey, Tjalling C”. Koopmans Research Institute, Discussion Paper Series nr: 13–11, Utrecht School of Economics.
   Google Scholar
• Garcia-Vega, M. 2006. “Does Technological Diversification Promote Innovation? an Empirical Analysis for European Firms.” Research Policy 35 (2): 230–246. doi: https://doi.org/10.1016/j.respol.2005.09.006.
   Web of Science ®Google Scholar
• Giuliani, E. 2007. “The Selective Nature of Knowledge Networks in Clusters: Evidence from the Wine Industry.” Journal of Economic Geography 7 (2): 139–168. doi: https://doi.org/10.1093/jeg/lbl014.
   Web of Science ®Google Scholar
• Gould, W. (2019): “Between Estimators”, available under: https://www.stata.com/support/faqs/statistics/between-estimator/,lastretrieved:01112018
   Google Scholar
• Grashof, N. 2020a. “Firm-specific Cluster Effects: A Meta-analysis.” Papers in Regional Science 99 (5): 1237–1260. doi: https://doi.org/10.1111/pirs.12526.
   Web of Science ®Google Scholar
• Grashof, N. (2021): “Putting the Watering Can Away - Towards a Targeted (Problem-oriented) Cluster Policy Framework.”Research Policy50 (9): 1-23. doi: https://doi.org/10.1016/j.respol.2021.104335.
   Google Scholar
• Grashof, N., and D. Fornahl. (2021): ““To be or not to be” located in a cluster? - A descriptive meta-analysis of the firm-specific cluster effect”. Annals of Regional Science. doi: https://doi.org/10.1007/s00168-021-01057-y.
   Google Scholar
• Grashof, N., K. Hesse, and D. Fornahl. 2019. “Radical or Not? the Role of Clusters in the Emergence of Radical Innovations.” European Planning Studies 27 (10): 1904–1923. doi: https://doi.org/10.1080/09654313.2019.1631260.
   Web of Science ®Google Scholar
• Griliches, Z., and J. Mairesse. 1984. “Productivity and R&D at the Firm Level.” In R&D, Patents and Productivity, edited by Z. Griliches, 339–374, Chicago, USA: University of Chicago Press.
   Google Scholar
• Grillitsch, M., and M. Nilsson (2017): “Knowledge Externalities and Firm Heterogeneity: Effects on High and Low Growth Firms”, Papers in Innovation Studies, Paper no. 2017/06.
   Google Scholar
• Hainmueller, J., J. Mummolo, and Y. Xu. 2019. “How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice.” Political Analysis 27 (2): 163–192. doi: https://doi.org/10.1017/pan.2018.46.
   Web of Science ®Google Scholar
• Harrison, B., M. R. Kelley, and J. Gant. 1996. “Innovative Firm Behavior and Local Milieu: Exploring the Intersection of Agglomeration, Firm Effects, and Technological Change.” Economic Geography 72 (3): 233–258. doi: https://doi.org/10.2307/144400.
   Web of Science ®Google Scholar
• Hauk, J., . W. R., and R. Wacziarg. 2009. “A Monte Carlo Study of Growth Regressions.” Journal of Economic Growth 14 (2): 103–147. doi: https://doi.org/10.1007/s10887-009-9040-3.
   Web of Science ®Google Scholar
• Haupt, R., M. Kloyer, and M. Lange. 2007. “Patent Indicators for the Technology Life Cycle Development.” Research Policy 36 (3): 387–398. doi: https://doi.org/10.1016/j.respol.2006.12.004.
   Web of Science ®Google Scholar
• Henderson, J. V. 2003. “Marshall’s Scale Economies.” Journal of Urban Economics 53 (1): 1–28. doi: https://doi.org/10.1016/S0094-1190(02)00505-3.
   Web of Science ®Google Scholar
• Henderson, R. M., and K. B. Clark. 1990. “Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of Established Firms.” Administrative Science Quarterly 35 (1): 9–30. doi: https://doi.org/10.2307/2393549.
   Web of Science ®Google Scholar
• Hervas-Oliver, J. L., and J. Albors-Garrigos. 2007. “Do Clusters Capabilities Matter? an Empirical Application of the Resource-based View in Clusters.” Entrepreneurship & Regional Development: An International Journal 19 (2): 113–136. doi: https://doi.org/10.1080/08985620601137554.
   Web of Science ®Google Scholar
• Hervas-Oliver, J.-L., & Albors-Garrigos, J. 2009. The role of the firm’s internal and relational capabilities in clusters: when distance and embeddedness are not enough to explain innovation, Journal of Economic Geography, Vol. 9, Issue 2, pp. 263–283
   Google Scholar
• Hervas-Oliver, J.-L., F. Sempere-Ripoll, R. R. Alvarado, and S. Estelles-Miguel. 2018. “Agglomerations and Firm Performance: Who Benefits and How Much?” Regional Studies 52 (3): 338–349. doi: https://doi.org/10.1080/00343404.2017.1297895.
   Web of Science ®Google Scholar
• Hervas-Oliver, J.-L., F. Sempere-Ripoll, S. Estelles-Miguel, and R. Rojas-Alvarado. 2019. “Radical Vs Incremental Innovation in Marshallian Industrial Districts in the Valencian Region: What Prevails?” European Planning Studies 27 (10): 1924–1939. doi: https://doi.org/10.1080/09654313.2019.1638887.
   Web of Science ®Google Scholar
• Hervas-Oliver, J.-L., and J. Albors-Garrigos. 2007. “The Role of the firm’s internal and relational capabilities in clusters: when distance and embeddedness are not enough to explain innovation.” Journal of Economic Geography 9 (2): 263–283. doi: https://doi.org/10.1093/jeg/lbn033.
   Web of Science ®Google Scholar
• Jaffe, A. B., M. Trajtenberg, and R. Henderson. 1993. “Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations.” Quarterly Journal of Economics 108 (3): 577–598. doi: https://doi.org/10.2307/2118401.
   Web of Science ®Google Scholar
• Johansson, B., J. Klaesson, and M. Olsson. 2003. “Commuters’ Non-linear Response to Time Distances.” Journal of Geographical Systems 5 (3): 315–329. doi: https://doi.org/10.1007/s10109-003-0111-2.
   Google Scholar
• Kafouros, M. I. 2008. Industrial Innovation and Firm Performance: The Impact of Scientific Knowledge on Multinational Corporations. Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Kleinknecht, A., K. Van Montfort, and E. Brouwer. 2002. “The Non-Trivial Choice between Innovation Indicators.” Economics of Innovation and New Technology 11 (2): 109–121. doi: https://doi.org/10.1080/10438590210899.
   Google Scholar
• Klepper, S. 1997. “Industry Life Cycles.” Industrial and Corporate Change 6 (1): 145–182. doi: https://doi.org/10.1093/icc/6.1.145.
   Google Scholar
• Knoben, J., A. T. Arikan, F. Van Oort, and O. Raspe. 2015. “Agglomeration and Firm Performance: One Firm’s Medicine Is Another Firm’s Poison.” Environment & Planning A 48 (1): 1–22.
   Web of Science ®Google Scholar
• Kohlbacher, M., D. Weitlaner, A. Hollosi, S. Grünwald, and H.-P. Grahsl. 2013. “Innovation in Clusters: Effects of Absorptive Capacity and Environmental Moderators.” Competitiveness Review: An International Business Journal 23 (3): 199–217. doi: https://doi.org/10.1108/10595421311319807.
   Google Scholar
• Krugman, P. 1991. “Increasing Returns and Economic Geography.” Journal of Political Economy 99 (3): 483–499. doi: https://doi.org/10.1086/261763.
   Web of Science ®Google Scholar
• Lavie, D. 2006. “The Competitive Advantage of Interconnected Firms: An Extension of the Resource-Based View.” The Academy of Management Review 31 (3): 638–658. doi: https://doi.org/10.5465/amr.2006.21318922.
   Web of Science ®Google Scholar
• Lee, C., K. Lee, and J. M. Pennings. 2001. “Internal Capabilities, External Networks, and Performance: A Study on Technology-Based Ventures.” Strategic Management Journal 22 (6–7): 615–640. doi: https://doi.org/10.1002/smj.181.
   Web of Science ®Google Scholar
• Lee, C.-Y. 2018. “Geographical Clustering and Firm Growth: Differential Growth Performance among Clustered Firms.” Research Policy 47 (6): 1173–1184. doi: https://doi.org/10.1016/j.respol.2018.04.002.
   Web of Science ®Google Scholar
• Mairesse, J., and P. Mohnen. 2010. “Using Innovation Surveys for Econometric Analysis.” In Handbook of the Economics of Innovation, edited by B. H. Hall and N. Rosenberg, 1129–1155. Vol. 2, Amsterdam, Netherlands: Elsevier.
   Google Scholar
• Mairesse, J., and M. Sassenou (1991): “R&D Productivity: A Survey of Econometric Studies at the Firm Level”, NBER Working PaperNo. 3666 .
   Google Scholar
• Malmberg, A., and P. Maskell. 2002. “The Elusive Concept of Localization Economies: Towards a Knowledge-based Theory of Spatial Clustering.” Environment & Planning A 34 (3): 429–449. doi: https://doi.org/10.1068/a3457.
   Web of Science ®Google Scholar
• Marshall, A. 1920. Principles of Economics. 8th edition ed. London: Macmillan.
   Google Scholar
• Martin, P., T. Mayer, and F. Mayneris. 2011. “Public Support to Clusters: A Firm Level Study of French “Local Productive Systems”.” Regional Science and Urban Economics 41 (2): 108–123. doi: https://doi.org/10.1016/j.regsciurbeco.2010.09.001.
   Web of Science ®Google Scholar
• Martin, R., and P. Sunley. 2003. “Deconstructing Clusters: Chaotic Concept or Policy Panacea?” Journal of Economic Geography 3 (1): 5–35. doi:https://doi.org/10.1093/jeg/3.1.5.
   Web of Science ®Google Scholar
• McCann, B. T., and T. B. Folta. 2008. “Location Matters: Where We Have Been and Where We Might Go in Agglomeration Research.” Journal of Management 34 (3): 532–565. doi: https://doi.org/10.1177/0149206308316057.
   Web of Science ®Google Scholar
• McCann, B. T., and T. B. Folta. 2011. “Performance Differentials within Geographic Clusters.” Journal of Business Venturing 26 (1): 104–123. doi: https://doi.org/10.1016/j.jbusvent.2009.04.004.
   Web of Science ®Google Scholar
• McGahan, A. M., and B. S. Silverman. 2001. “How Does Innovative Activity Change as Industries Mature?” International Journal of Industrial Organization 19 (7): 1141–1160. doi: https://doi.org/10.1016/S0167-7187(01)00067-4.
   Web of Science ®Google Scholar
• McNeish, D. M. 2014. “Analyzing Clustered Data with OLS Regression: The Effect of a Hierarchical Data Structure.” Multiple Linear Regression Viewpoints 40 (1): 11–16.
   Google Scholar
• Menzel, M.-P., and D. Fornahl. 2010. “Cluster Life Cycles--dimensions and Rationales of Cluster Evolution.” Industrial and Corporate Change 19 (1): 205–238. doi: https://doi.org/10.1093/icc/dtp036.
   Web of Science ®Google Scholar
• Miller, D. J. 2006. “Technological Diversity.” Related Diversification, and Firm Performance, Strategic Management Journal 27 (7): 601–619.
   Google Scholar
• Molina-Morales, F. X., and M. T. Martınez-Fernández. 2004. “How Much Difference Is There between Industrial District Firms? A Net Value Creation Approach.” Research Policy 33 (3): 473–486. doi: https://doi.org/10.1016/j.respol.2003.10.004.
   Web of Science ®Google Scholar
• 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. doi: https://doi.org/10.2307/2109724.
   Web of Science ®Google Scholar
• Myers, R. H. 1990. Classical and Modern Regression with Applications. 2nd edition ed. Boston: PWS-Kent. .
   Google Scholar
• Nathan, M., and H. Overman. 2013. “Agglomeration, Clusters, and Industrial Policy.” Oxford Review of Economic Policy 29 (2): 383–404. doi: https://doi.org/10.1093/oxrep/grt019.
   Web of Science ®Google Scholar
• Neffke, F., M. Henning, R. Boschma, K.-J. Lundquist, and L.-O. Olander. 2011. “The Dynamics of Agglomeration Externalities along the Life Cycle of Industries.” Regional Studies 45 (1): 49–65. doi: https://doi.org/10.1080/00343401003596307.
   Web of Science ®Google Scholar
• Newbert, S. L. 2007. “Empirical Research on the Resource-based View of the Firm: An Assessment and Suggestions for Future Research.” Strategic Management Journal 28 (2): 121–146. doi: https://doi.org/10.1002/smj.573.
   Web of Science ®Google Scholar
• Nooteboom, B. 2000. Learning and Innovation in Organizations and Economies. Oxford: Oxford University Press.
   Google Scholar
• OECD. 2002. Frascati Manual: Proposed Standard Practice for Surveys on Research and Experimental Development. Paris: OECD Publications Service.
   Google Scholar
• Porter, M. E. 1980. Competitive Strategy: Techniques for Analyzing Industries and Competitors. New York: Free Press.
   Google Scholar
• Porter, M. E. 1990. The Competitive Advantage of Nations. London: Macmillan.
   Google Scholar
• Porter, M. E. 1998. “Clusters and the New Economics of Competitiveness.” Harvard Business Review 76 (6): 77–90.
   PubMed Web of Science ®Google Scholar
• Pouder, R., and C. H. St. John. 1996. “Hot Spots and Blind Spots: Geographical Clusters of Firms and Innovation.” The Academy of Management Review 21 (4): 1192–1225. doi: https://doi.org/10.5465/amr.1996.9704071867.
   Web of Science ®Google Scholar
• Raffo, J. 2017. MATCHIT: Stata Module to Match Two Datasets Based on Similar Text Patterns. Statistical Software Components, Boston College Department of Economics.
   Google Scholar
• Raffo, J., and S. Lhuillery. 2009. “How to Play the “Names Game”: Patent Retrieval Comparing Different Heuristics.” Research Policy 38 (10): 1617–1627. doi: https://doi.org/10.1016/j.respol.2009.08.001.
   Web of Science ®Google Scholar
• Research Explorer (2018): “Research Explorer - the German Research Directory”, available under ,lastretrieved:10032018
   Google Scholar
• Rigby, D. L., and W. M. Brown. 2015. “Who Benefits from Agglomeration?” Regional Studies 49 (1): 28–43. doi: https://doi.org/10.1080/00343404.2012.753141.
   Web of Science ®Google Scholar
• Roesler, C., and T. Broekel. 2017. “The Role of Universities in a network of Subsidized R&D collaboration: The Case of the Biotechnology-industry in Germany.” Review of Regional Research 37 (2): 135–160. doi: https://doi.org/10.1007/s10037-017-0118-7.
   Google Scholar
• Rosenberg, N. 1990. “Why Do Firms Do Basic Research (With Their Own Money)?” Research Policy 19 (2): 165–174. doi: https://doi.org/10.1016/0048-7333(90)90046-9.
   Web of Science ®Google Scholar
• Rosenthal, S. S., and W. C. Strange. 2003. “Geography, Industrial Organization, and Agglomeration.” The Review of Economics and Statistics 85 (2): 377–393. doi: https://doi.org/10.1162/003465303765299882.
   Web of Science ®Google Scholar
• Šarić, S. 2012. Competitive Advantages through Clusters - an Empirical Study with Evidence from China. Wiesbaden, Germany: Springer Fachmedien.
   Google Scholar
• Scholl, T., and T. Brenner. 2016. “Detecting Spatial Clustering Using a Firm-Level Cluster Index.” Regional Studies 50 (6): 1054–1068. doi: https://doi.org/10.1080/00343404.2014.958456.
   Web of Science ®Google Scholar
• Sedita, S. R., L. Lazzeretti, and A. Caloffi. 2012. “The Birth and the Rise of the Cluster Concept.”Paper presented at the DRUID 2012, Copenhagen (CBS), June 19-21.
   Google Scholar
• Shaver, J. M., and F. Flyer. 2000. “Agglomeration Economies, Firm Heterogeneity, and Foreign Direct Investment in the United States.” Strategic Management Journal 21 (12): 1175–1193. doi: https://doi.org/10.1002/1097-0266(200012)21:12<1175::AID-SMJ139>3.0.CO;2-Q.
   Web of Science ®Google Scholar
• Smit, M. J., M. A. Abreu, and H. L. de Groot. 2015. “Micro-evidence on the Determinants of Innovation in the Netherlands: The Relative Importance of Absorptive Capacity and Agglomeration Externalities.” Papers in Regional Science 94 (2): 249–272.
   Web of Science ®Google Scholar
• Speldekamp, D., J. Knoben, and A. Saka-Helmhout. 2020. “Clusters and Firm-level Innovation: A Configurational Analysis of Agglomeration, Network and Institutional Advantages in European Aerospace.” Research Policy 49 (3). doi: https://doi.org/10.1016/j.respol.2020.103921.
   Google Scholar
• Steffen, C. (2012): “How Firms Profit from Acting in Networked Environments: Realising Competitive Advantages in Business Clusters”. A Resource-oriented Case Study Analysis of the German and Swiss Watch Industry, Schriftenreihe: Internationale Personal- und Strategieforschung.
   Google Scholar
• Steinberg, P. J., V. D. Procher, and D. Urbig. 2017. “Too Much or Too Little of R&D Offshoring: The Impact of Captive Offshoring and Contract Offshoring on Innovation Performance.” Research Policy 46 (10): 1810–1823. doi: https://doi.org/10.1016/j.respol.2017.08.008.
   Web of Science ®Google Scholar
• Stern, D. I. 2010. “Between Estimates of the Emissions-income Elasticity.” Ecological Economics 69 (11): 2173–2182. doi: https://doi.org/10.1016/j.ecolecon.2010.06.024.
   Web of Science ®Google Scholar
• Sternberg, R., and T. Litzenberger. 2004. “Regional Clusters in Germany--their Geography and Their Relevance for Entrepreneurial Activities.” European Planning Studies 12 (6): 767–791. doi: https://doi.org/10.1080/0965431042000251855.
   Web of Science ®Google Scholar
• Stevens, J. P. 2002. Applied Multivariate Statistics for the Social Sciences, Hillsdale. NJ: Erlbaum.
   Google Scholar
• Stifterverband (2018): “Research Data Center Wissenschaftsstatistik”, available under https://wwwstifterverbandorg/research_data_center,lastretrieved:10032018
   Google Scholar
• Suarez, F., and G. Lanzolla. 2005. “The Half-Truth of First-Mover Advantage.” Harvard Business Review 83 (4): 121-127.
   Google Scholar
• Suarez, F. F., and G. Lanzolla. 2007. “The Role of Environmental Dynamics in Building a First Mover Advantage Theory.” Academy of Management Review 32 (2): 377–392. doi: https://doi.org/10.5465/amr.2007.24349587.
   Web of Science ®Google Scholar
• Tallman, S., M. Jenkins, N. Henry, and S. Pinch. 2004. “Knowledge, Clusters, and Competitive Advantage.” The Academy of Management Review 29 (2): 258–271. doi: https://doi.org/10.5465/amr.2004.12736089.
   Web of Science ®Google Scholar
• Terstriep, J., and C. Lüthje. 2018. “Innovation, Knowledge and Relations – On the Role of Clusters for Firms’ Innovativeness.” European Planning Studies 26 (11): 2167–2199. doi: https://doi.org/10.1080/09654313.2018.1530152.
   Web of Science ®Google Scholar
• Tödtling, F., P. Lehner, and M. Trippl. 2006. “Innovation in Knowledge Intensive Industries: The Nature and Geography of Knowledge Links.” European Planning Studies 14 (8): 1035–1058. doi: https://doi.org/10.1080/09654310600852365.
   Web of Science ®Google Scholar
• Uzzi, B. 1997. “Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness.” Administrative Science Quarterly 42 (1): 35–67. doi: https://doi.org/10.2307/2393808.
   Web of Science ®Google Scholar
• Van Oort, F. G., M. J. Burger, J. Knoben, and O. Raspe. 2012. “Multilevel Approaches and the Firm-Agglomeration Ambiguity in Economic Growth Studies.” Journal of Economic Surveys 26 (3): 468–491. doi: https://doi.org/10.1111/j.1467-6419.2012.00723.x.
   Web of Science ®Google Scholar
• Vega-Jurado, J., A. Gutiérrez-Gracia, I. Fernández-de-Lucio, and L. Manjarrés-Henríquez. 2008. “The Effect of External and Internal Factors on Firms’ Product Innovation.” Research Policy 37 (4): 616–632. doi: https://doi.org/10.1016/j.respol.2008.01.001.
   Web of Science ®Google Scholar
• Verhoeven, D., J. Bakker, and R. Veugelers. 2016. “Measuring Technological Novelty with Patent-based Indicators.” Research Policy 45 (3): 707–723. doi: https://doi.org/10.1016/j.respol.2015.11.010.
   Web of Science ®Google Scholar
• Vicente, J. 2017. “Network Failures and Policy Challenge along the Life Cycle of Clusters.” In The Life Cycle of Clusters: A Policy Perspective, edited by D. Fornahl and R. Hassink, 56–75, Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Weber, K. M., and H. Rohracher. 2012. “Legitimizing Research, Technology and Innovation Policies for Transformative Change: Combining Insights from Innovation Systems and Multi-level Perspective in a Comprehensive ‘Failures’ Framework.” Research Policy 41 (6): 1037–1047. doi: https://doi.org/10.1016/j.respol.2011.10.015.
   Web of Science ®Google Scholar
• Wu, X., S. Geng, J. Li, and W. Zhang. 2010. “Shared Resources and Competitive Advantage in Clustered Firms: The Missing Link.” European Planning Studies 18 (9): 1391–1410. doi: https://doi.org/10.1080/09654313.2010.492578.
   Web of Science ®Google Scholar
• Zaheer, A., and V. P. George. 2004. “Reach Out or Reach Within? Performance Implications of Alliances and Location in Biotechnology.” Managerial and Decision Economics 25 (67): 437–452. doi: https://doi.org/10.1002/mde.1200.
   Google Scholar
• Zahra, S. A., and W. C. Bogner. 1999. “Technology Strategy and Software New ventures’ Performance.” Journal of Business Venturing 15 (2): 135–173. doi: https://doi.org/10.1016/S0883-9026(98)00009-3.
   Web of Science ®Google Scholar
• Zenker, A., L. Delponte, N. D. Mayán, R. Wintjes, C. Amichetti, J. Carneiro, M. Meyborg, A. Notten, E. Schnabl, and T. Stahlecker (2019): “Cluster Programmes in Europe and Beyond, European Observatory for Clusters and Industrial Change”, available under https://wwwclustercollaborationeu/eu-initiatives/european-cluster-observatory,lastretrieved:17072019
   Google Scholar