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Comparison of technology efficiency for CO 2 emissions reduction among European countries based on DEA with decomposed factors
- Source :
- Journal of Cleaner Production. 151:109-120
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- For consistent and effective CO 2 reduction, many countries need to improve not only the technical efficiency of CO 2 mitigation, but also environmental responsibility. In this study, we examine both the technical efficiency and voluntary environmental consciousness (VEC) of 12 European countries using a two-stage data envelopment analysis (DEA). In the first stage, we measured the technical efficiency of green energy technologies (GET) associated with fossil fuels, renewable energy, and storage technologies of each country for energy generation with regard to CO 2 emissions by surveying GET-related patents. Using the logarithmic mean Divisia index (LMDI), we decomposed CO 2 emissions into the following technological factors: energy intensity, fuel mix, and CO 2 emission coefficient. In the second stage, we quantified the VEC in each country by investigating GET patent changes via research and development (R&D) investment at given changes in CO 2 emissions. The results show different aspects for each country in terms of technical efficiency and VEC, suggesting potential levels of both efficient CO 2 reductions and desirable GET development by using reference countries as a benchmark. Our study methodology and results can contribute to establishing effective national technology policy and aid in calls for common responsibility and the active participation of nations in addressing climate change.
- Subjects :
- Renewable Energy, Sustainability and the Environment
business.industry
020209 energy
Strategy and Management
Technology policy
Fossil fuel
02 engineering and technology
Divisia index
Environmental economics
Investment (macroeconomics)
Industrial and Manufacturing Engineering
Renewable energy
Electricity generation
Economy
Energy intensity
0202 electrical engineering, electronic engineering, information engineering
Economics
Data envelopment analysis
business
General Environmental Science
Subjects
Details
- ISSN :
- 09596526
- Volume :
- 151
- Database :
- OpenAIRE
- Journal :
- Journal of Cleaner Production
- Accession number :
- edsair.doi...........2ff3188b2e017b596d3232bfade18e66