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Invention in Energy Technologies: Comparing Energy Efficiency and Renewable Energy Inventions at the Firm Level

Abstract Many countries, especially in Europe, have ambitious goals to transform their national energy systems towards renewable energies. Technological change in both renewable production and efficient use of energy can help us to make these targets come true. Using a panel of German firms linked to the PATSTAT patent data, we study inventions in both types of energy technologies and investigate the role prior inventions as technology-push factors play for both types of technologies. In addition and more importantly, we study whether previous inventions in non-energy technologies also stimulate technical change in energy technologies and whether this effect differs between energy conservation and renewable energy technologies.
- KU Leuven Belgium
- University of Münster Germany
- Katholieke Universiteit Leuven Belgium
- Centre For European Economic Research Germany
- University of Mannheim Germany
dynamic count data, 330 Wirtschaft, invention, innovation,invention,renewable energy,energy efficiency,dynamic count data, renewable energy, innovation, energy efficiency, ddc: ddc:330
dynamic count data, 330 Wirtschaft, invention, innovation,invention,renewable energy,energy efficiency,dynamic count data, renewable energy, innovation, energy efficiency, ddc: ddc:330
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).44 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
