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Sustainability 2017, 9(3), 452; doi:10.3390/su9030452

Analysis of Factors Contributing to Changes in Energy Consumption in Tangshan City between 2007 and 2012

1
Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
School of Geography, Beijing Normal University, Beijing 100875, China
*
Author to whom correspondence should be addressed.
Academic Editor: Tomonobu Senjyu
Received: 11 January 2017 / Revised: 21 February 2017 / Accepted: 16 March 2017 / Published: 18 March 2017
(This article belongs to the Section Energy Sustainability)
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Abstract

The aim of this paper is to identify the correlations between energy consumption and the factors that control usage in the city of Tangshan. To do this, we first analyze the current status of Tangshan’s economic development and energy consumption, and then applied the logarithmic mean Divisia index to identify the factors affecting the changes in energy consumption of all sectors. The findings are summarized as follows: (1) secondary industry accounts for an extremely high percentage of industry in Tangshan city, much higher than the national average; from 2007 to 2012, the proportion of secondary industry increased in Tangshan city; (2) Tangshan’s energy consumption in 2013 was nearly twice that in 2005. Coal and coke coal consumption was responsible for 96.2% of total energy consumption in 2005 and 95.1% in 2013; (3) Tangshan’s energy intensity decreased from 3.00 tce/thousand Yuan in 2005 to 1.85 tce/thousand Yuan in 2013. However, the energy intensity of Tangshan was far more than the average for China, and the decline in Tangshan’s energy intensity was much slower than the average for China; (4) The technical effect plays a dominant role in decreasing energy consumption in most sectors, and the scale effect is the most important contributor to increasing energy consumption in all sectors. Input structural and final use structural effects play different roles in energy consumption in different sectors. View Full-Text
Keywords: Tangshan; energy consumption change; input–output model; logarithmic mean Divisia index Tangshan; energy consumption change; input–output model; logarithmic mean Divisia index
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zou, J.; Liu, W.; Tang, Z. Analysis of Factors Contributing to Changes in Energy Consumption in Tangshan City between 2007 and 2012. Sustainability 2017, 9, 452.

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