4.7 Article

Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach

Journal

ENERGY ECONOMICS
Volume 62, Issue -, Pages 70-78

Publisher

ELSEVIER
DOI: 10.1016/j.eneco.2016.12.005

Keywords

Energy performance; Sectoral heterogeneity; Index number; Non-parametric frontier approach

Categories

Funding

  1. National Natural Science Foundation of China [71273005, 71573119, 71625005, 71203151, 71573186]
  2. Jiangsu Natural Science Foundation for Distinguished Young Scholar [BK20140038]
  3. Jiangsu Qing Lan project

Ask authors/readers for more resources

Evaluating economy-wide energy performance is an integral part of assessing the effectiveness of a country's energy efficiency policy. Non-parametric frontier approach has been widely used by researchers for such a purpose. This paper proposes an extended non-parametric frontier approach to studying economy-wide energy efficiency and productivity performances by accounting for sectoral heterogeneity. Relevant techniques in index number theory are incorporated to quantify the driving forces behind changes in the economy-wide energy productivity index. The proposed approach facilitates flexible modelling of different sectors' production processes, and helps to examine sectors' impact on the aggregate energy performance. A case study of China's economy-wide energy efficiency and productivity performances in its 11th five-year plan period (2006-2010) is presented. It is found that sectoral heterogeneities in terms of energy performance are significant in China. Meanwhile, China's economy-wide energy productivity increased slightly during the study period, mainly driven by the technical efficiency improvement. A number of other findings have also been reported. (C) 2016 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available