A network analysis using metadata to investigate innovation in clean-tech – Implications for energy policy

摘要: Abstract Clean-technology (clean-tech) is a large and increasing sector. Research development (R&D) the lifeline of industry innovation fostered by plethora high-tech start-ups small medium-sized enterprises (SMEs). Any empirical-based attempt to detect pattern technological in challenging. This paper proposes an investigation clean-tech using metadata provided CrunchBase. Metadata reveal information on markets, products, services technologies driving worldwide for San Francisco, leader with more than two hundred specialised companies. A network analysis employed methodology main metrics resulting networks are discussed from economic point view. The purpose understand specifically specializations complementarities underlying innovative companies, emerging industrial clusters at global local/metropolitan level and, finally, suggest way realize whether observed start-ups, SMEs follow path complementary market opportunity or, instead, present risk lock-in. discussion results shows interesting implications energy policy, particularly useful operational