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

Jialing Zou, Weidong Liu and Zhipeng Tang
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Jialing Zou: Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Weidong Liu: Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Zhipeng Tang: Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Sustainability, 2017, vol. 9, issue 3, 1-14

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.

Keywords: Tangshan; energy consumption change; input–output model; logarithmic mean Divisia index (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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