Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5105743 | Energy Policy | 2017 | 9 Pages |
Abstract
This paper proposes a sequential meta-frontier Luenberger productivity index (SMLPI) that incorporates undesirable outputs to measure carbon productivity growth over time. This new index combines the concepts of sequential production technology, meta-frontier directional distance function, and the Luenberger productivity Index to produce a composite indicator, so that it can take group heterogeneities and the progressive nature of technology into consideration for productivity measurement. The SMLPI is then applied to a unique dataset of China's coal-fired power plants, including 5048 observations covering the period 1999-2008. The results show an increasing trend of carbon productivity growth during the sample period for both state- and non-state-owned power plants. Further decomposition analyses show that the production technology also exhibits an increasing trend for both groups, but the efficiency change exhibits a decreasing trend. For the state-owned group, the technology gap decreased before 2003, but increased thereafter. On the contrary, for the non-state-owned power plants, the technology gap increased before 2003, but decreased thereafter.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Yanni Yu, Tao Qian, Limin Du,