Decomposition analysis of energy-related carbon emissions from UK manufacturing
By G. P. Hammond, J. Norman. 2012
234 citations recorded by the source corpus.
Subfields: Automotive Engineering, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/90cee74b68936dfdfb056a349cbdf20083dc6f8d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Mara Madaleno
- Roula Inglesi-Lotz
- Shuai Shao
- Stefano Galmarini
- X. Zhang
- Xingrong Zhao
- V. Andreoni
- V. Moutinho
In Environmental Engineering
- Roula Inglesi-Lotz
- Mara Madaleno
- Eyup Dogan
- Yue‐Jun Zhang
- V. Moutinho
- Stefano Galmarini
- V. Andreoni
- Shuai Shao
In Renewable Energy, Sustainability and the Environment
- Roula Inglesi-Lotz
- Eyup Dogan
- Stefano Galmarini
- V. Andreoni
- Yue‐Jun Zhang
- Mara Madaleno
- Shuai Shao
- X. Zhang
Citations in the corpus
- Global Research on Carbon Emissions: A Scientometric Review (2019, unknown): “As Hammond and Norman [13] indicated, analyzing past trends of carbon emissions have become a useful method to understand the current emissions and thereby predict future emissions.”
- Drivers in CO2 emissions variation: A decomposition analysis for 33 world countries (2016, background): “investigate energy-related emission in different countries and sectors as industrial activities, transports or final consumption [48-54].”
- Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment (2016, background): “Nevertheless, the CO2 emissions from industrial processes have not been fully explored in most existing decomposition analyses (e.g., Hammond and Norman, 2012; Tian et al., 2013; O'Mahony, 2013; Vaninsky, 2014; Ma, 2014; Zhang and Da, 2015; Malik 6 The data of China's GDP and industrial share are…”
- Factors affecting CO2 emissions in top countries on renewable energies: A LMDI decomposition application (2018, methodology): “In the energy literature, the decomposition techniques have been a particularly suitable and convenient tool over the last two decades in order to decouple the determinants of various indicators such as energy consumption and efficiency ([5]; [6]; [7]; [8]; [9]; [10]; [11]; [12]; [13]; [2]; [14]; [1”