Journal
JOURNAL OF CLEANER PRODUCTION
Volume 64, Issue -, Pages 590-601Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2013.08.017
Keywords
Energy consumption; Decomposition analysis; Cluster analysis; Low-carbon design; Carbon productivity
Categories
Funding
- Tianjin Science and Technology Plan Project [11ZLZLZF05900]
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Rapid economic development of industrial cities has led to a significant increase in energy consumption and carbon emissions in China. Through the log-mean Divisia index decomposition method and the cluster analysis method, this paper provides a systematic method to (1) analyze the time series of carbon emissions from the energy consumption of the industrial sector in a city; (2) explore the main factors affecting carbon emissions; and (3) divide industries in a city into different types and analyze combination features of emissions-efficiency. Finally, this paper takes Tianjin as an example, and studies the emissions characteristics of Tianjin. Results show that high-emission and low-efficiency industries play important roles in the development and economic growth of industries in Tianjin, improvements in energy utilization efficiency are the most important contributors to effective industrial energy conservation and emission reductions in Tianjin, and that the method developed in this paper is practical in the analysis of carbon emissions characteristics of an industrial city or region. (C) 2013 Elsevier Ltd. All rights reserved.
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