Abstract
Many green technologies have been invented to prevent CO 2 emission. But the alarming increased in CO 2 emissions in the last half-century can also induce the advancement of green technology. In order to evaluate the effect of changes in CO 2 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 CO 2 changes on patent applications via R&D investment using the following six factors: production, energy intensity, fuel mix, CO 2 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.
| Original language | English |
|---|---|
| Pages (from-to) | 290-299 |
| Number of pages | 10 |
| Journal | Journal of Cleaner Production |
| Volume | 193 |
| DOIs | |
| Publication status | Published - 2018 Aug 20 |
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All Science Journal Classification (ASJC) codes
- Renewable Energy, Sustainability and the Environment
- Environmental Science(all)
- Strategy and Management
- Industrial and Manufacturing Engineering
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A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO 2 emissions from fossil fuel energy consumption . / Cho, Joon Hyung; Sohn, So Young.
In: Journal of Cleaner Production, Vol. 193, 20.08.2018, p. 290-299.Research output: Contribution to journal › Article
TY - JOUR
T1 - A novel decomposition analysis of green patent applications for the evaluation of R&D efforts to reduce CO 2 emissions from fossil fuel energy consumption
AU - Cho, Joon Hyung
AU - Sohn, So Young
PY - 2018/8/20
Y1 - 2018/8/20
N2 - Many green technologies have been invented to prevent CO 2 emission. But the alarming increased in CO 2 emissions in the last half-century can also induce the advancement of green technology. In order to evaluate the effect of changes in CO 2 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 CO 2 changes on patent applications via R&D investment using the following six factors: production, energy intensity, fuel mix, CO 2 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.
AB - Many green technologies have been invented to prevent CO 2 emission. But the alarming increased in CO 2 emissions in the last half-century can also induce the advancement of green technology. In order to evaluate the effect of changes in CO 2 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 CO 2 changes on patent applications via R&D investment using the following six factors: production, energy intensity, fuel mix, CO 2 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.
UR - http://www.scopus.com/inward/record.url?scp=85047132125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047132125&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2018.05.060
DO - 10.1016/j.jclepro.2018.05.060
M3 - Article
AN - SCOPUS:85047132125
VL - 193
SP - 290
EP - 299
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
SN - 0959-6526
ER -