Regional Coherence and Clean energy Technologies

Gabriel Vernhes ()
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Gabriel Vernhes: UEA - Unité d'Économie Appliquée - ENSTA Paris - École Nationale Supérieure de Techniques Avancées - IP Paris - Institut Polytechnique de Paris

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Abstract: ABSTRACT As climate change become a tangible reality, providing technical solution to reduce carbon emissions become strategically important. Reach Paris climate agreement of carbon neutrality in 2050 to keep global warming under 2 degrees Celsius needs urgent reorganization of innovative systems behind this objective. Since the first COP1 in 1995 in Berlin, strategic importance of energy production in carbon emissions is well known as well as the need to invest in clean energy production to close the cost gap with carbon-based energy (Turkenburg 2000). This work attempts to measure current reorganization of European regions around clean energy innovation help by graph theory tools and regional evolutionary theory. From 1995 COP1, to 2015 COP 21, our work describes the adoption of a common technological paradigm around clean energy innovation. To do so, we localize patent inventor's data from PATSTAT at NUTS2 level to study coherence of IPC technological class combination in patents. Evolution of these "regional knowledge base" are studied over 4 periods of five-years each. Our preliminary results show a slowly increasing organization of actors around a common way to innovate in strategic technologies as renewables technologies like photovoltaic and fuel cells technologies. This innovation is largely carried by Germany and France among others western European countries.

Keywords: Graph Theory; Green Technology; Evolutionary theory; Patent (search for similar items in EconPapers)
Date: 2022-07-04
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Published in DisrupTechs Agora (DTA) 2022, EM Normandie, Jul 2022, Clichy, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03989105

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