Spin-off Performance in Industry Clusters: Embodied Knowledge vs. Embedded Firms Guido Buenstorf University of Kassel (Germany) and University of Göteborg (Sweden) Carla Costa Utrecht University (Netherlands) and University of Lisbon (Portugal) Workshop Resurrection or Reinvention: Industrial Resilience in Traditional Manufacturing Regions Torino, November 21-22, 2016 1 1. THEORETICAL BACKGROUND 2 Spin-offs and Industrial Clusters (1) Conventional wisdom: Agglomeration economies (Marshall, 1890) • Firms in clusters benefit from being co-located – With other firms in same industry – With firms in related industries Firms in clusters outperform isolated competitors Policy focus on strengthening clusters 3 Spin-offs and Industrial Clusters (2) Challenge to the conventional wisdom: “Heritage theory” (Klepper, 2007; 2010; Buenstorf & Klepper, 2009; 2010) • Firm heritage drives firm performance – Diversifiers & spin-offs from industry leaders outperform start-ups – Success breeds success • Diversification in home region & spin-offs locate close to their parent firms Specific firms in clusters outperform isolated competitors But this need not be due to co-location 4 Spin-offs and Industrial Clusters (3) Klepper (2007, 2010): Detroit as example of heritage theory • Old Motor Works as successful early diversifier • Olds also related to entry of Buick, Cadillac and Ford • Spin-offs from Olds and other early entrants make Detroit auto cluster grow Some other examples • Akron tire cluster (Buenstorf & Klepper, 2009; 2010) • Silicon Valley semiconductor cluster (Klepper, 2010; Cheyre et al., 2014; 2015) • Fashion clusters in Paris, London, New York and Milano (Wenting, 2008) • Amsterdam book publishing cluster (Heebels and Boschma, 2011) • … 5 The Conundrum of Spin-off Performance (1) No general theory exist to account for spin-off performance Nature or nurture? • Parent firms as “involuntary training grounds” for spin-off entrepreneurs - or do better firms hire better employees? How important are (early) workers relative to entrepreneurs? • Spin-offs make better hiring decisions (Carias & Klepper, 2010) 6 The Conundrum of Spin-off Performance (2) Heritage theory – agglomeration economies in disguise? • Diversifiers leverage existing knowledge (but: “spillovers” within organization) • Knowledge flows from parents to spin-offs (but: highly specific, not “in the air”) • Spin-offs benefit from being embedded in regional networks (Dahl & Sorenson, 2011) need to study impact of spin-offs’ network positions in clusters (Boschma, 2015) 7 This paper Agglomeration and spin-off heritage Embodied knowledge • Entrepreneurial industry experience • Hirings of employees with industry experience Embeddedness of firms in the industry network • Reconstruct firms’ embeddedness in industry network from labor flows 8 2. EMPIRICAL CONTEXT: MOLDS IN PORTUGAL 9 Plastic Molds: Simple (1950s)… Spoon Doll head Source: Gomes (2005) 10 …and More Complex (Today) 11 The Portuguese Molds Clusters Oliveira Molds industry among Portugal‘s successful export industries • 80-90% of production are exported • “one of the world’s principal producers of precision molds for the plastics industry” (USITC 2002) Industry clusters in two regions: • Oliveira de Azeméis • Marinha Grande Porto Marinha Lisbon Marinha Grande also has co-located plastics industry 12 History of the Portuguese Molds Industry Pioneer firm: A.H.A. (est. 1945 in Marinha) • Substantial process innovations (production organization) • Training of workers and future entrepreneurs First customers of the molds industry were local plastics companies • Exports to US (1950s) and EU markets (1980s) Clusters resemble “Italian” industrial districts • Network of small specialized firms that subcontract intensively (Mota & Castro 2004) • Vertically disintegrated to access external capabilities (Loasby 1998) 13 Prior Results on the Portuguese Molds Industry Costa and Baptista (DRUID, 2015) • Both agglomeration and spin-off heritage help explain firm survival • Stronger effects of spin-off heritage • Also spin-offs from vertically related industries perform well Costa (under review) • Spin-off heritage as driver of co-located molds and plastics industries • Weak and asymmetric agglomeration effects (molds firms benefit from co-location with plastics firms) • Plastics firms benefits less from co-location 14 3. ANALYSIS 15 Data (1) Portuguese LEED data (Quadros de Pessoal; 1986-2009) • Identification of molds producers and molds entrants (in focus here) • Location in molds cluster (Marinha Grande; Oliveira de Azeméis)? Spin-off entrepreneurs: prior employment in molds firms (5 previous years) All entrants (1986-2009) Marinha Grande Oliveira Total Spin-off entrants (1986-2009) 459 198 97 55 1066 350 16 Data (2) Labor mobility embodied knowledge • First-year hires with prior employment in molds firms (5 years) rationale: stock of employees shapes firm capabilities Network position embeddedness • Construct annual industry networks of active producers from labor mobility events in prior 5 years (undirected) • Measure betweenness centrality for all entrants – use second year of age (data limitations) rationale: links to other firms enable knowledge flows 17 Evolution of the labor mobility network (1): 1992 18 Evolution of the labor mobility network (2): 1997 19 Evolution of the labor mobility network (3): 2002 20 Evolution of the labor mobility network (4): 2007 21 Results (1): Spin-offs and embodied knowledge Cox proportional hazards 22 Results (2): Spin-offs and industry embeddedness Cox proportional hazards / full sample; betweenness = 0 if missing 23 Results (3): Restricted sample Cox proportional hazards / restricted sample (no missing betweenness values) 24 4. CONCLUDING REMARKS 25 Concluding Remarks Portuguese molds industry • Mature & internationally competitive • Clustered in two peripheral regions; clusters resemble Italian industrial districts • Heritage alone does not account for performance premium in clusters Embodied knowledge flows • Early within-industry hires related to performance premium in clusters (but not to spin-off performance) • Hires from successful firms related to performance; orthogonal to location/heritage Embeddedness in industry network • New measuring approach based on labor flows in industry (but: data limitations) • No evidence that embeddedness related to performance 26
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