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Hongliang Yang

Bio: Hongliang Yang is an academic researcher from University of Cambridge. The author has contributed to research in topics: Data envelopment analysis & Sample (statistics). The author has an hindex of 3, co-authored 4 publications receiving 445 citations.

Papers
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Journal ArticleDOI
TL;DR: This article attempts to do an objective evaluation of the performance of decision making units (DMUs) by proposing six DEA-based performance evaluation models based on a research sample of the Chinese coal-fired power plants and finding not only contributes for the performance measurement methodology, but also has policy implications for the Chinese power sector.

313 citations

Journal ArticleDOI
TL;DR: In this paper, a model that distinguishes weak and strong disposability assumptions among various undesirable outputs based on their respective technical features is proposed, and the final results show that imposing the technically correct disposability features on undesirable outputs makes a significant difference to the final efficiency evaluation.

178 citations

Posted ContentDOI
TL;DR: In this article, the effects of undesirable outputs on the Malmquist TFP indices were examined using an unbalanced panel which covers 796 utility and non-utility coal-fired power plants in China during 1996-2002.
Abstract: In this article we examine the effects of undesirable outputs on the Malmquist TFP indices. Our empirical work uses an unbalanced panel which covers 796 utility and non-utility coal-fired power plants in China during 1996-2002. In order to meet the requirement of a balanced panel for calculating the Malmquist indices, an innovative fake unit approach has been introduced. Our final results show that (1) the growth of the Chinese electricity heavily depends upon an increase of resource input; and (2) huge potential remains with regards to the efficiency improvement and emissions control in Chinese coal-fired power plants.

4 citations

Posted Content
TL;DR: In this article, the DEA-based performance evaluation models based on a research sample of the Chinese coal-fired power plants were proposed to evaluate the performance of decision-making units (DMUs).
Abstract: There are two difficulties in doing an objective evaluation of the performance of decision-making units (DMUs). The first one is how to treat undesirable outputs jointly produced with the desirable outputs, and the second one is how to treat uncontrollable variables, which often capture the impact of the operating environment. Given difficulties in both model construction and data availability, very few published papers simultaneously consider the above two problems. This article attempts to do so by proposing six DEA-based performance evaluation models based on a research sample of the Chinese coal-fired power plants. The finding of this paper not only contributes for the performance measurement methodology, but also has policy implications for the Chinese coal-fired power sector.

1 citations


Cited by
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Journal ArticleDOI
TL;DR: It is found that OECD countries have better carbon emission performance and integrated energy-carbon performance than non-OECD countries in electricity generation, while the difference in energy performance is not significant.

621 citations

Journal ArticleDOI
TL;DR: In this article, a review of 144 published scholarly papers appearing in 45 high-ranking journals between 2006 and 2015 have been obtained to achieve a comprehensive review of DEA application in energy efficiency, where the selected articles have been categorized based on year of publication; author (s) nationalities, scope of study, time duration, application area, study purpose, results and outcomes.
Abstract: The main aim of this review article is to review of DEA models in regarding to energy efficiency. This paper reviewed and summarized the different models of DEA that have been applied around the world to development of energy efficiency problems. Consequently, a review of 144 published scholarly papers appearing in 45 high-ranking journals between 2006 and 2015 have been obtained to achieve a comprehensive review of DEA application in energy efficiency. Accordingly, the selected articles have been categorized based on year of publication; author (s) nationalities, scope of study, time duration, application area, study purpose, results and outcomes. Results of this review paper indicated that DEA showed great promise to be a good evaluative tool for future analysis on energy efficiency issues, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire.

414 citations

Journal ArticleDOI
TL;DR: In this article, the authors summarized previous research efforts on Data Envelopment Analysis (DEA) applied to energy and environment in the past four decades, including concepts and methodologies on DEA environmental assessment.

358 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper investigated the relationship between fossil fuel consumption and the environmental regulation of China's thermal power generation and found that the environmental efficiency plays a significant role in affecting energy performance.

338 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a non-radial Malmquist CO2 emission performance index (MNMCPI) for measuring dynamic changes in total-factor CO2 emissions over time.

321 citations