Exploring the influencing factors and decoupling state of residential energy consumption in Shandong

Exploring the influencing factors and decoupling state of residential energy consumption in Shandong This paper aims at analyzing the current situation of residential energy consumption in Shandong, identifying the influence factors governing energy consumption based on the LMDI (Log Mean Divisia Index) method, and describing the decoupling relationship between residential energy consumption and residential income based on the Tapio decoupling method. The main results are as follows: (1) The residential energy consumption structures of urban and rural have become multilevel. Furthermore, the gap in per capital residential energy consumption between urban and rural regions narrowed. (2) The energy intensity had an obvious inhibitory effect on decreasing urban residential energy consumption. Per capital income and population structure increased the urban residential energy consumption over the study period. However, per capital income and energy intensity played a more significant role in promoting rural residential energy consumption. And the population structure decreased rural residential energy consumption. During the study period, the contributions from both energy consumption structure and total population effect were negligible. (3) Since 2000, the decoupling index for both urban and rural resident gradually declined, which also shows that residential energy consumption in urban and rural regions was gradually less depend on residential income. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Cleaner Production Elsevier

Exploring the influencing factors and decoupling state of residential energy consumption in Shandong

Loading next page...
 
/lp/elsevier/exploring-the-influencing-factors-and-decoupling-state-of-residential-GT01J9j8KD
Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0959-6526
D.O.I.
10.1016/j.jclepro.2018.05.122
Publisher site
See Article on Publisher Site

Abstract

This paper aims at analyzing the current situation of residential energy consumption in Shandong, identifying the influence factors governing energy consumption based on the LMDI (Log Mean Divisia Index) method, and describing the decoupling relationship between residential energy consumption and residential income based on the Tapio decoupling method. The main results are as follows: (1) The residential energy consumption structures of urban and rural have become multilevel. Furthermore, the gap in per capital residential energy consumption between urban and rural regions narrowed. (2) The energy intensity had an obvious inhibitory effect on decreasing urban residential energy consumption. Per capital income and population structure increased the urban residential energy consumption over the study period. However, per capital income and energy intensity played a more significant role in promoting rural residential energy consumption. And the population structure decreased rural residential energy consumption. During the study period, the contributions from both energy consumption structure and total population effect were negligible. (3) Since 2000, the decoupling index for both urban and rural resident gradually declined, which also shows that residential energy consumption in urban and rural regions was gradually less depend on residential income.

Journal

Journal of Cleaner ProductionElsevier

Published: Sep 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off