A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO2 emissions from fossil fuel energy consumption

A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to... Many green technologies have been invented to prevent CO2 emission. But the alarming increased in CO2 emissions in the last half-century can also induce the advancement of green technology. In order to evaluate the effect of changes in CO2 emissions on green R&D investment and the generation of related patents, a new logarithmic mean Divisia index (LMDI) decomposition method is proposed. The method identifies the effect of CO2 changes on patent applications via R&D investment using the following six factors: production, energy intensity, fuel mix, CO2 emission coefficient, R&D reaction, and R&D efficiency. Using the data from 2004 to 2012, we apply the proposed method to the four countries (France, Germany, Italy, and the United Kingdom) in order to compare the main factors driving green patent applications in each country. The findings provide insight for effective generation of green technology patents. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Cleaner Production Elsevier

A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO2 emissions from fossil fuel energy consumption

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0959-6526
D.O.I.
10.1016/j.jclepro.2018.05.060
Publisher site
See Article on Publisher Site

Abstract

Many green technologies have been invented to prevent CO2 emission. But the alarming increased in CO2 emissions in the last half-century can also induce the advancement of green technology. In order to evaluate the effect of changes in CO2 emissions on green R&D investment and the generation of related patents, a new logarithmic mean Divisia index (LMDI) decomposition method is proposed. The method identifies the effect of CO2 changes on patent applications via R&D investment using the following six factors: production, energy intensity, fuel mix, CO2 emission coefficient, R&D reaction, and R&D efficiency. Using the data from 2004 to 2012, we apply the proposed method to the four countries (France, Germany, Italy, and the United Kingdom) in order to compare the main factors driving green patent applications in each country. The findings provide insight for effective generation of green technology patents.

Journal

Journal of Cleaner ProductionElsevier

Published: Aug 20, 2018

References

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