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Energy Policy
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EconStor
Research . 2016
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Energy Policy
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https://dx.doi.org/10.24406/pu...
Other literature type . 2016
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Effects of policies on patenting in wind-power technologies

Authors: Joachim Schleich; Joachim Schleich; Joachim Schleich; Mario Ragwitz; Rainer Walz;

Effects of policies on patenting in wind-power technologies

Abstract

Abstract This paper explores the effects of policies and other factors driving innovation in wind power technologies in twelve OECD countries over more than two decades. Patent counts are used as an indicator for innovation. The factors considered are generally derived from the systems of innovation literature. Count data econometric model were used for the estimations. The suggest that patenting in wind power technology is positively related to public R&D in wind power (reflecting supply-side policy), the stock of wind capacity (reflecting learning effects), the number of patents per capita (reflecting a country's innovative capacity), and the share of Green party voters (reflecting the legitimacy of the technology). In particular, the presence of production or capacity targets for wind power or renewable energy sources and a stable policy environment (reflecting policy process) appear to be favourable for patenting wind power technologies. These results are robust to various model specifications, distributional assumptions, and alternative classifications of wind power technologies in the patent search.

Keywords

count data econometrics, demand-side regulation, supply-side regulation, wind power, patent analysis, innovation, ddc: ddc:330

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
85
Top 1%
Top 10%
Top 10%