Determinants of technical inefficiency in China’s coal-fired power plants and policy recommendations for CO2 mitigation

Nakaishi, Tomoaki; Kagawa, Shigemi; Takayabu, Hirotaka; Lin, Chen

doi:10.1007/s11356-021-14394-4

Cited by 19 publications

(3 citation statements)

References 40 publications

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“…Nakaishi et al [28] identified the influential factors of power generation efficiency in thermal power plants using a combined analysis framework of DEA and Tobit models. The authors regarded the DEA efficiency scores as an independent variable, whereas operating rate, capacity utilization rate, production scale, and location of the power plants were considered as explanatory variables.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Yang and Pollitt [21] and Zhang et al [22] are representative studies that focus on the power generation efficiency of China's CTPPs using DEA; however, most previous studies, including the two mentioned, do not explore power generation efficiency disparities that results from regional heterogeneity, such as resource endowment and economic development (see also [10,[23][24][25][26][27]). Notably, few previous studies evaluate the power generation efficiency of China's CTPPs with respect to CO 2 emissions as a function of coal consumption or how any corresponding plant-level improvements in efficiency would contribute quantitatively to the national Chinese government's CO 2 reduction targets [28]. With these research goals in mind, the present study first quantified the impacts of regional heterogeneity on CTPP power generation efficiency by applying a DEA framework to plant-level data in China.…”

Section: Introductionmentioning

confidence: 99%

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CO2 Reduction Potential from Efficiency Improvements in China’s Coal-Fired Thermal Power Generation: A Combined Approach of Metafrontier DEA and LMDI

Eguchi

2022

Energies

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Among the G20 countries, China is the only country to experience an increase in electricity generation from coal-fired thermal power plants from 2019 to 2020. This study aims to develop an analytical framework combining metafrontier data envelopment analysis with the logarithmic mean Divisia index for a detailed decomposition analysis of ‘mass-based’ energy-related CO2 reduction potential through efficiency improvements in coal-fired thermal power plants in China. The results show that inefficiency in power generation can be largely attributed to differences in the location of power plants and the production scale. Moreover, the impact of regional heterogeneity on the changes in power generation efficiency is more notable for the small–medium power plants in the northeast region than the large power plants in the western region in China. However, when focusing on the mass-based CO2 reduction potential associated with the regional heterogeneity, its positive effects in the western region for the large power plants are 6.2 times larger than that in the northeast region for the small–medium power plants. These results imply that an analysis that focuses only on the efficiency score would ignore the production scale of coal-fired thermal power plants and thus would fail to properly evaluate the environmental impacts associated with efficiency changes.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CO2 Reduction Potential from Efficiency Improvements in China’s Coal-Fired Thermal Power Generation: A Combined Approach of Metafrontier DEA and LMDI

Eguchi

2022

Energies

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“…It is also applied to the aggregation of sub-indicators, taking the low-carbon finance index for example (Mohsin et al, 2020). Based on the efficiency analysis results, the potentials of input reduction or output expansion are evaluated (Bello et al, 2018;Li et al, 2019;Nakaishi et al, 2021a). The neighborhood approach is also used to estimate the potential (Aarakit et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Gradual Goals of Energy Transformation and Upgrading in China’s Power Industry Considering Production Profiles

Yan

Duan

2021

Front. Energy Res.

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As the largest processing sector of primary energy, the transformation and upgrading of the power sector is undoubtedly an effective way to alleviate the situation of energy and environment. This article studies the gradual goals of the transformation and upgrading of China’s power industry, where the conditions of technical judgment, specific profile, and moderate agenda are incorporated. The empirical analysis of China’s provincial power sectors based on the constructed models came to the following results. First, it is of great importance to consider the profile of each region’s power sector in setting energy-saving and emission reduction targets. The analysis of variance demonstrates significant differences in the reference points of inputs and outputs under the 1% confidence level. Second, regardless of the specific quantity, the strongly consistent trends of the short- and long-term targets demonstrated the feasibility and effectiveness of the gradual goals. Finally, realizing the potential of energy-saving and emission reduction needs a gradual pathway instead of accomplishing in one stroke. The targets of this study, which are attainable for the power sector and still represent a best practice, could serve as transitional benchmarks in power supply and emission reduction. To further achieve carbon neutrality, the management strategy to coordinate power supply and renewable energy accommodation needs to be transformed.

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Spatial autocorrelation analysis of the environmental efficiency of coal-fired power plants in China

Nakaishi

Nagashima

Kagawa

2022

Clean Techn Environ Policy

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Determinants of technical inefficiency in China’s coal-fired power plants and policy recommendations for CO2 mitigation

Cited by 19 publications

References 40 publications

CO2 Reduction Potential from Efficiency Improvements in China’s Coal-Fired Thermal Power Generation: A Combined Approach of Metafrontier DEA and LMDI

CO2 Reduction Potential from Efficiency Improvements in China’s Coal-Fired Thermal Power Generation: A Combined Approach of Metafrontier DEA and LMDI

Gradual Goals of Energy Transformation and Upgrading in China’s Power Industry Considering Production Profiles

Spatial autocorrelation analysis of the environmental efficiency of coal-fired power plants in China

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