Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis
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.
About: This article is published in Energy Economics.The article was published on 2013-11-01. It has received 321 citations till now. The article focuses on the topics: Malmquist index & Index (economics).
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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
TL;DR: The classification of the industrial energy efficiency index has been summarized to track the previous application studies and four major evaluation methodologies of energy efficiency are explained in detail, including stochastic frontier analysis, data envelopment analysis, exergy analysis and benchmarking comparison.
231 citations
Cites methods from "Total-factor carbon emission perfor..."
...Zhang and Choi [107] employed the total factor-DEA model to calculate the efficiency of 93 Chinese power plants from 2005 to 2010....
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...[107] Zhang N, Choi Y. Total-factor carbon emission performance of fossil fuel power plants in China: a metafrontier non-radial Malmquist index analysis....
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TL;DR: A classification of typical publications in DDF related research in E&E studies is attempted, and some guidelines for model selection and future directions are proposed.
Abstract: Recently, a relatively new methodology named directional distance function (DDF) has been attracting positive attention in the field of energy and environmental (E&E) modeling. However, there is still no literature review on the application of DDF in E&E studies. This paper is intended to fill this gap. First, the most widely used DDF techniques and its extensions are briefly introduced. Second, this article attempts a classification of typical publications in this field. The main issues raised by the previous studies are discussed. Some guidelines for model selection and future directions are proposed for DDF related research in E&E studies.
196 citations
TL;DR: In this article, the authors proposed a non-radial Malmquist CO2 emission performance index (NMCPI) for measuring dynamic changes in total-factor CO 2 emission performance over time.
Abstract: This paper proposes a non-radial Malmquist CO2 emission performance index (NMCPI) for measuring dynamic changes in total-factor CO2 emission performance over time. This index enables the consideration of non-radial slacks in the conventional Malmquist CO2 emission index (MCPI). The NMCPI is calculated based on a non-radial directional distance function derived by several data envelopment analysis (DEA) models. Furthermore, NMCPI could be decomposed into an efficiency change (EC) index and technological change (TC) index. A bootstrapping approach is conducted to introduce statistical inferences into the NMCPI and its decompositions. Based on the proposed indices, the dynamic CO2 emission performance change and its decompositions of the Chinese regional transportation industry from 2002 to 2010 are investigated. The empirical results demonstrate that the total-factor carbon emission performance of the transportation industry as a whole decreased by 32.8% over the period, and this reduction was primarily caused by technological decline.
194 citations
TL;DR: Wang et al. as mentioned in this paper examined the policy effectiveness of carbon trading in two stages by taking the natural experiment of China's pilot as a case and found that carbon trading can significantly improve carbon/energy-carbon performance.
185 citations
References
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TL;DR: In this article, the authors argue that the trade-off between environmental regulation and competitiveness unnecessarily raises costs and slows down environmental progress, and that instead of simply adding to cost, properly crafted environmental standards can trigger innovation offsets, allowing companies to improve their resource productivity.
Abstract: Accepting a fixed trade-off between environmental regulation and competitiveness unnecessarily raises costs and slows down environmental progress. Studies finding high environmental compliance costs have traditionally focused on static cost impacts, ignoring any offsetting productivity benefits from innovation. They typically overestimated compliance costs, neglected innovation offsets, and disregarded the affected industry's initial competitiveness. Rather than simply adding to cost, properly crafted environmental standards can trigger innovation offsets, allowing companies to improve their resource productivity. Shifting the debate from pollution control to pollution prevention was a step forward. It is now necessary to make the next step and focus on resource productivity.
8,154 citations
7,426 citations
01 Jan 1994
TL;DR: In this article, the authors analyzed productivity growth in seventeen OECD countries over the period 1979-88 and found that U.S. productivity growth is slightly higher than average, all of which is due to technical change.
Abstract: This paper analyzes productivity growth in seventeen OECD countries over the period 1979-88. A nonparametric programming method (activity analysis) is used to compute Malmquist productivity indexes. These are decomposed into two component measures, namely, technical change and efficiency change. The authors find that U.S. productivity growth is slightly higher than average, all of which is due to technical change. Japan's productivity growth is the highest in the sample with almost half due to efficiency change. Copyright 1994 by American Economic Association.
3,851 citations
"Total-factor carbon emission perfor..." refers methods in this paper
...According to Färe et al. (1994) and Oh (2010), the three conditions for determining group innovative plants are BPCN1; ð12aÞ D !t Ktþ1; Ltþ1; Ftþ1; Etþ1;Ctþ1 b0; ð12bÞ D !tþ1 Ktþ1; Ltþ1; Ftþ1; Etþ1;Ctþ1 ¼ 0: ð12cÞ Eq....
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...Malmquist productivity index proposed by Färe et al. (1994) could be used for measuring dynamic productivity change....
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TL;DR: In this article, a nonparametric programming method (activity analysis) is used to compute the Malmquist productivity indexes, which are decomposed into two component measures, namely, technical change and efficiency change.
Abstract: This paper analyzes productivity growth in 17 OECD countries over the period 1979-1988. A nonparametric programming method (activity analysis) is used to compute Malmquist productivity indexes. These are decomposed into two component measures, namely, technical change and efficiency change. We find that U.S. productivity growth is slightly higher than average, all of which is due to technical change. Japan's productivity growth is the highest in the sample, with almost half due to efficiency change. (JEL C43, D24) In this paper we apply recently developed
3,434 citations
TL;DR: In this paper, a directional distance function is used as a component in a new productivity index that readily models joint production of goods and bads, credits firms for reductions in bads and increases in goods, and does not require shadow prices of bad outputs.
2,003 citations