CO2 emissions of Turkish manufacturing industry: A decomposition analysis
By Elif Akbostancı, G. Tunç, Serap Türüt-Aşık. 2011
229 citations recorded by the source corpus.
In this study, CO2 emissions of Turkish manufacturing industry are calculated by using the fuel consumption data at ISIC revision 2, four digit level. Study covers 57 industries, for the 1995-2001 period. Log Mean Divisia Index (LMDI) method is used to decompose the changes in the CO2 emissions of manufacturing industry into five components; changes in activity, activity structure, sectoral energy intensity, sectoral energy mix and emission factors. Mainly, it is found that changes in total industrial activity and energy intensity are the primary factors determining the changes in CO2 emissions during the study period. It is also indicated that among the fuels used, coal is the main determining factor and among the sectors, 3710 (iron and steel basic industries) is the dirtiest sector dominating the industrial CO2 emissions in the Turkish manufacturing industry.
Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/a620b78c107c11489f67e902be27de70bae2c276
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In Economics and Econometrics
- Yue‐Jun Zhang
- Alexander Vaninsky
- Yabin Da
- Muhammad Shahbaz
- Yu Hao
- Zeeshan Khan
- Ilhan Ozturk
- Qiang Wang
In Environmental Engineering
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- The decomposition of energy-related carbon emission and its decoupling with economic growth in China (2015, methodology): “[19] used the LMDI method to decompose the changes in the CO2 emissions into five components.”