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The only comprehensive study comparing structural decomposition analysis (SDA) and index decomposition analysis (IDA) was conducted around 2000. There have since been new developments in both techniques in energy and emission studies. These developments have been studied systematically for IDA...
Persistent link: https://www.econbiz.de/10010868703
In recent years, energy-related CO2 emissions embodied in international trade and the driving forces have been widely studied by researchers using the environmental input–output framework. Most previous studies however, do not differentiate different input structures in manufacturing...
Persistent link: https://www.econbiz.de/10010636113
Energy-related CO2 emissions embodied in international trade have been widely studied by researchers using the environmental input–output framework. Despite the increasing interest in using the multi-regional input–output (MRIO) model by researchers, few studies have looked into the...
Persistent link: https://www.econbiz.de/10011043775
The Fisher index and its extensions have been used in multiplicative decomposition analysis applied to energy and emissions. In this study, we extend the concept of “additive decomposition of the Fisher index” in the national accounts and propose an attribution analysis of the generalized...
Persistent link: https://www.econbiz.de/10011054783
Energy-related CO2 emissions embodied in international trade have been widely studied at the national level in recent years. The embodiment estimates help to explain the “weak carbon leakage” between industrial and developing countries and to reveal the so-called “consumption-based”...
Persistent link: https://www.econbiz.de/10011041183
China's electricity generation is mainly dependent on fossil fuel. Promoting electricity conservation in different sectors and regions plays a vital role in reducing China's energy-related CO2 emissions and other pollutants. This paper contributes to identify the sectors and economic regions...
Persistent link: https://www.econbiz.de/10010807546