Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach

Duan, Na; Guo, Jintang; Xie, Bai-Chen

doi:10.1016/j.apenergy.2015.02.066

Cited by 86 publications

(30 citation statements)

References 34 publications

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“…From a mathematical point of view, the estimation of the shadow prices of undesirable outputs is based on the directional-distance function, which is a generalization of Shephard's distance function (Duan et al, 2014). A notable advantage of the directional-distance function is that it allows the simultaneous expansion of desirable outputs and reduction of undesirable outputs (Zhang et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

Estimating the environmental and resource costs of leakage in water distribution systems: A shadow price approach

Molinos-Senante

Mocholí-Arce

Sala-Garrido

2016

Science of The Total Environment

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Section: Methodsmentioning

confidence: 99%

Estimating the environmental and resource costs of leakage in water distribution systems: A shadow price approach

Molinos-Senante

Mocholí-Arce

Sala-Garrido

2016

Science of The Total Environment

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“…A comprehensive algorithm of bootstrapping the directional distance function was proposed by Simar et al [24], which expands the idea put forth in Simar & Wilson [29] to validate the directional distance function in the input-output space. The further practical application studies, such as Falavigna et al [25] and Duan et al [26], give a clear description of how the bootstrap procedure is applied to the directional distance function. According to Simar et al [24], the possible bias of TE can be corrected.…”

Section: Bootstrap For Directional Distance Functionmentioning

confidence: 99%

“…This algorithm can not only capture the possible bias of TE estimates, it can also calculate the confidence intervals. For these reasons, studies that have used the directional distance function to measure TE in recent years have innovatively combined it with the bootstrap procedure to overcome the limitations mentioned above and improve the robustness of TE estimates [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Potential Benefit of Carbon Benchmarking: Analysis of Semiconductor Industry in Taiwan

Liou

Chiu

2018

Applied Sciences

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The main purpose of this study is to explore the carbon reduction environmental benefits that can be achieved if carbon benchmarking is applied when semiconductor manufacturers in Taiwan work to improve the technical efficiency of their carbon reduction efforts. The evaluation method used is as follows. First, a technical efficiency measurement method that is capable of considering both desirable outputs and undesirable outputs is used to measure the technical efficiency of the carbon reduction efforts and identify the benchmark firms with the best technical efficiency. Next, an attempt is made to estimate the greenhouse gas reduction that is realized by the sample if their carbon reduction efforts are accompanied by the implementation of a benchmarking system. Finally, the monetary value of the greenhouse gas reduction is estimated so as to develop a better understanding of the carbon reduction benefits for the adoption of the process outlined above. The empirical results show that using carbon benchmarking to raise the technical efficiency of carbon reduction management would, on average, boost the annual sales revenue of each decision-making unit by about US$486.6 million, while also bringing up the average annual CO 2 reduction benefits per decision-making unit by US$11.11 million per year.

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“…In some cases, both dynamic and static methods have been used to compare energy [25]. For the Meta-Frontier Method, dynamic meta-frontiers [26], Meta-Frontier non-radial directional distance functions [12,27,28], and Bootstrapped DEA Methods [29,30] have been used to measure energy efficiency and obtain accurate energy efficiency estimates.…”

Section: Introductionmentioning

confidence: 99%

Regional Energy, CO2, and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach

Liu

Chiu

2018

Energies

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Abstract:Rapid economic development has resulted in a significant increase in energy consumption and pollution such as carbon dioxide (CO 2 ), particulate matter (PM 2.5 ), particulate matter 10 (PM 10 ), SO 2 , and NO 2 emissions, which can cause cardiovascular and respiratory diseases. Therefore, to ensure a sustainable future, it is essential to improve economic efficiency and reduce emissions. Using a Meta-frontier Non-radial Directional Distance Function model, this study took energy consumption, the labor force, and fixed asset investments as the inputs, Gross domestic product (GDP) as the desirable output, and CO 2 and the Air Quality Index (AQI) scores as the undesirable outputs to assess energy efficiency and air pollutant index efficiency scores in China from 2013-2016 and to identify the areas in which improvements was necessary. It was found that there was a large gap between the western and eastern cities in China. A comparison of the CO 2 and AQI in 31 Chinese cities showed a significant difference in the CO 2 emissions and AQI efficiency scores, with the lower scoring cities being mainly concentrated in China's western region. It was therefore concluded that China needs to pay greater attention to the differences in the economic levels, stages of social development, and energy structures in the western cities when developing appropriately focused improvement plans.

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Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach

Cited by 86 publications

References 34 publications

Estimating the environmental and resource costs of leakage in water distribution systems: A shadow price approach

Estimating the environmental and resource costs of leakage in water distribution systems: A shadow price approach

Potential Benefit of Carbon Benchmarking: Analysis of Semiconductor Industry in Taiwan

Regional Energy, CO2, and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach

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