Next Article in Journal
Decomposition Analysis of Forest Ecosystem Services Values
Next Article in Special Issue
Carbon Dioxide Emissions, Economic Growth, and Selected Types of Fossil Energy Consumption in China: Empirical Evidence from 1965 to 2015
Previous Article in Journal
Dynamic Collection Strategy and Coordination of a Remanufacturing Closed-Loop Supply Chain under Uncertainty
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(5), 685; doi:10.3390/su9050685

Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method

1,2
,
1,2,* , 1,2
and
1,2
1
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing 211106, China
2
Research Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing 211106, China
*
Author to whom correspondence should be addressed.
Academic Editors: Jeffrey Logan and Doug Arent
Received: 22 March 2017 / Revised: 21 April 2017 / Accepted: 22 April 2017 / Published: 26 April 2017
(This article belongs to the Special Issue Energy Security and Sustainability)
View Full-Text   |   Download PDF [959 KB, uploaded 26 April 2017]   |  

Abstract

As the largest energy consumer, China is facing greater pressure to guarantee energy supply and energy security. Investigating the driving factors of energy consumption is very important. Decomposition analysis is an analytical tool for decomposing an aggregate indicator into its contributing factors. This paper introduces index decomposition analysis (IDA) into production decomposition analysis (PDA) and provides a new decomposition framework for analyzing energy consumption. Two application studies are presented to illustrate the use of our proposed approach. The first deals with the decomposition of aggregate energy consumption from 1991 to 2012; the second application studies seven sectors of China from 2001 to 2012. The empirical studies result in four meaningful findings: (1) the rapid economic growth has already resulted in severe energy supply crises; (2) China’s energy sector consumption structure has changed significantly; (3) potential economic effect is the largest driving factor for energy consumption growth; (4) potential energy intensity effect and technical change of economic output effect were the two primary driving factors in reducing energy consumption. View Full-Text
Keywords: energy consumption; decomposition analysis; IDA; PDA; China energy consumption; decomposition analysis; IDA; PDA; China
Figures

Figure 1

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhou, D.; Liu, X.; Zhou, P.; Wang, Q. Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method. Sustainability 2017, 9, 685.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top