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

Joon Hyung Cho, So Young Sohn

Research output: Contribution to journalArticle

7 Citations (Scopus)

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 languageEnglish
Pages (from-to)290-299
Number of pages10
JournalJournal of Cleaner Production
Volume193
DOIs
Publication statusPublished - 2018 Aug 20

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Environmental technology
decomposition analysis
Fossil fuels
fossil fuel
Energy utilization
Decomposition
decomposition
evaluation
energy consumption
patent
Energy consumption
Decomposition analysis
Evaluation
Patents
method
effect
Factors

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

Cite this

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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.",
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