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Measuring Inventive Performance with Patent Data: an Application to Low Carbon Energy Technologies

Clément Bonnet

Working Papers from Chaire Economie du climat

Abstract: We estimate an index that measures the quality of the patented inventions related to Low Carbon Energy Technologies (LCETs) and delivered in seven countries during 1980-2010. This quality index is built using a Latent Factor Model (LFM) that synthesizes the information contained in patent documents. We capture a unique measure of patents quality, defined here as the economic value that is imputable to the technological advance resulting from the patented invention. A robust measure of the inventive performance of each country in the LCETs is obtained using the quality index. Several insights are derived from this measure about the technical advantages of countries and the dynamics of technologies' quality.

Keywords: Patent data; Energy technologies; Latent factor model; Low carbon innovation (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ene, nep-env, nep-ino, nep-ipr and nep-tid
Date: 2017
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http://www.chaireeconomieduclimat.org/RePEc/cec/wp ... R-2017-09-Bonnet.pdf First version, 2017 (application/pdf)

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