Skip to main content
Erschienen in:

01.01.2025 | Original Article

Carbon emission reduction potential and driving factors of thermal power plants: Based on the combination of LMDI and DEA approach

verfasst von: Zaixun Jia, Xin Zhao

Erschienen in: Mitigation and Adaptation Strategies for Global Change | Ausgabe 1/2025

Einloggen, um Zugang zu erhalten

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Der Artikel untersucht das Kohlenstoffemissionsminderungspotenzial (CERP) und die treibenden Faktoren thermischer Kraftwerke in China, wobei eine Kombination aus LMDI und DEA-Ansätzen zum Einsatz kommt. Er hebt den signifikanten Rückgang des CERP in Form eines "M" zwischen 2014 und 2021 hervor, wobei räumliche Unterschiede auf ein höheres Emissionsreduktionspotenzial in westlichen und nördlichen Regionen hindeuten. Die Studie stellt ein innovatives RBM-MinDS-Modell zur genaueren Messung von CERP vor und integriert LMDI für eine mehrschichtige Frontier-Analyse. Die Ergebnisse zeigen Schlüsselfaktoren, die das CERP beeinflussen, wie potenzielle Energieintensität, Effizienz der Kohlenstoffemissionen und regionale Unterschiede. Die Studie endet mit politischen Empfehlungen zur Verbesserung der Energieeinsparung und Emissionsreduzierung, wodurch das "duale Kohlenstoffziel" in China gefördert wird.
Fußnoten
1
It is worth noting that since the DEA model must use balanced panel data. Thus, we selected all the continuous existing thermal power plants with power generation above 100GW and between 14 and 21 years, a total of 248 plants.
 
Literatur
Zurück zum Zitat Aparicio J, Cordero JM, Pastor JT (2017a) The determination of the least distance to the strongly efficient frontier in Data Envelopment Analysis oriented models: Modelling and computational aspects. Omega 71:1–10CrossRef Aparicio J, Cordero JM, Pastor JT (2017a) The determination of the least distance to the strongly efficient frontier in Data Envelopment Analysis oriented models: Modelling and computational aspects. Omega 71:1–10CrossRef
Zurück zum Zitat Aparicio J, Garcia-Nove EM, Kapelko M et al (2017b) Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis. Omega 72:1–14CrossRef Aparicio J, Garcia-Nove EM, Kapelko M et al (2017b) Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis. Omega 72:1–14CrossRef
Zurück zum Zitat Aparicio J, Ruiz JL, Sirvent I (2007) Closest targets and minimum distance to the Pareto-efficient frontier in DEA. J Prod Anal 28:209–218CrossRef Aparicio J, Ruiz JL, Sirvent I (2007) Closest targets and minimum distance to the Pareto-efficient frontier in DEA. J Prod Anal 28:209–218CrossRef
Zurück zum Zitat Cooper WW, Park KS, Pastor JT (1999) RAM: a range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. J Prod Anal 11:5–42CrossRef Cooper WW, Park KS, Pastor JT (1999) RAM: a range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. J Prod Anal 11:5–42CrossRef
Zurück zum Zitat Du L, Hanley A, Zhang N (2016) Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis. Resour Energy Econ 43:14–32CrossRef Du L, Hanley A, Zhang N (2016) Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis. Resour Energy Econ 43:14–32CrossRef
Zurück zum Zitat Du Z, Wang Y (2022) Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China. Appl Energy 324:119758CrossRef Du Z, Wang Y (2022) Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China. Appl Energy 324:119758CrossRef
Zurück zum Zitat Eguchi S, Takayabu H, Lin C (2021) Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach. Renew Sust Energ Rev 138:110562CrossRef Eguchi S, Takayabu H, Lin C (2021) Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach. Renew Sust Energ Rev 138:110562CrossRef
Zurück zum Zitat Emrouznejad A, Yang G (2016) CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index. Energy Policy 96:397–410CrossRef Emrouznejad A, Yang G (2016) CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index. Energy Policy 96:397–410CrossRef
Zurück zum Zitat Fang T, Fang D, Yu B (2022) Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants. Energy Policy 165:112955CrossRef Fang T, Fang D, Yu B (2022) Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants. Energy Policy 165:112955CrossRef
Zurück zum Zitat Färe R, Grosskopf S, Lovell CAK et al (1989) Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. Rev Econ Stat:90–98 Färe R, Grosskopf S, Lovell CAK et al (1989) Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. Rev Econ Stat:90–98
Zurück zum Zitat Feng C, Chu F, Ding J et al (2015) Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA. Omega 53:78–89CrossRef Feng C, Chu F, Ding J et al (2015) Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA. Omega 53:78–89CrossRef
Zurück zum Zitat Han Y, Long C, Geng Z et al (2018) Carbon emission analysis and evaluation of industrial departments in China: an improved environmental DEA cross model based on information entropy. J Environ Manag 205:298–307CrossRef Han Y, Long C, Geng Z et al (2018) Carbon emission analysis and evaluation of industrial departments in China: an improved environmental DEA cross model based on information entropy. J Environ Manag 205:298–307CrossRef
Zurück zum Zitat He J, Hu S (2022) Ecological efficiency and its determining factors in an urban agglomeration in China: The Chengdu-Chongqing urban agglomeration. Urban Clim 41:101071CrossRef He J, Hu S (2022) Ecological efficiency and its determining factors in an urban agglomeration in China: The Chengdu-Chongqing urban agglomeration. Urban Clim 41:101071CrossRef
Zurück zum Zitat He Y, Xing Y, Zeng X et al (2022) Factors influencing carbon emissions from China's electricity industry: Analysis using the combination of LMDI and K-means clustering. Environ Impact Assess Rev 93:106724CrossRef He Y, Xing Y, Zeng X et al (2022) Factors influencing carbon emissions from China's electricity industry: Analysis using the combination of LMDI and K-means clustering. Environ Impact Assess Rev 93:106724CrossRef
Zurück zum Zitat Huang R, Zhang S, Wang P (2022) Key areas and pathways for carbon emissions reduction in Beijing for the “Dual Carbon” targets. Energy Policy 164:112873CrossRef Huang R, Zhang S, Wang P (2022) Key areas and pathways for carbon emissions reduction in Beijing for the “Dual Carbon” targets. Energy Policy 164:112873CrossRef
Zurück zum Zitat Jia S, Guo N, Liu Y (2023) Electricity shortage and corporate digital transformation: Evidence from China's listed firms. Financ Res Lett 57:104260CrossRef Jia S, Guo N, Liu Y (2023) Electricity shortage and corporate digital transformation: Evidence from China's listed firms. Financ Res Lett 57:104260CrossRef
Zurück zum Zitat Jindal A, Nilakantan R, Sinha A (2024) CO2 emissions abatement costs and drivers for Indian thermal power industry. Energy Policy 184:113865CrossRef Jindal A, Nilakantan R, Sinha A (2024) CO2 emissions abatement costs and drivers for Indian thermal power industry. Energy Policy 184:113865CrossRef
Zurück zum Zitat Kaya Y (1989) Impact of carbon dioxide emission control on GNP growth: interpretation of proposed scenarios. Intergovernmental panel on climate change/response strategies working group Kaya Y (1989) Impact of carbon dioxide emission control on GNP growth: interpretation of proposed scenarios. Intergovernmental panel on climate change/response strategies working group
Zurück zum Zitat Li R, Tang BJ, Shen M et al (2023) Low-carbon development pathways for provincial-level thermal power plants in China by mid-century. J Environ Manag 342:118309CrossRef Li R, Tang BJ, Shen M et al (2023) Low-carbon development pathways for provincial-level thermal power plants in China by mid-century. J Environ Manag 342:118309CrossRef
Zurück zum Zitat Liu N, Ma Z, Kang J (2017) A regional analysis of carbon intensities of electricity generation in China. Energy Econ 67:268–277CrossRef Liu N, Ma Z, Kang J (2017) A regional analysis of carbon intensities of electricity generation in China. Energy Econ 67:268–277CrossRef
Zurück zum Zitat Song M, Wang J (2018) Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model. Energy 161:325–336CrossRef Song M, Wang J (2018) Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model. Energy 161:325–336CrossRef
Zurück zum Zitat Takayabu H (2020) CO2 mitigation potentials in manufacturing sectors of 26 countries. Energy Econ 86:104634CrossRef Takayabu H (2020) CO2 mitigation potentials in manufacturing sectors of 26 countries. Energy Econ 86:104634CrossRef
Zurück zum Zitat Wang H, Ang BW, Su B (2017) Assessing drivers of economy-wide energy use and emissions: IDA versus SDA. Energy Policy 107:585–599CrossRef Wang H, Ang BW, Su B (2017) Assessing drivers of economy-wide energy use and emissions: IDA versus SDA. Energy Policy 107:585–599CrossRef
Zurück zum Zitat Wang J, Li Z, Wu T et al (2022) The decoupling analysis of CO2 emissions from power generation in Chinese provincial power sector. Energy 255:124488CrossRef Wang J, Li Z, Wu T et al (2022) The decoupling analysis of CO2 emissions from power generation in Chinese provincial power sector. Energy 255:124488CrossRef
Zurück zum Zitat Wang K, Lu B, Wei YM (2013) China’s regional energy and environmental efficiency: a range-adjusted measure based analysis. Appl Energy 112:1403–1415CrossRef Wang K, Lu B, Wei YM (2013) China’s regional energy and environmental efficiency: a range-adjusted measure based analysis. Appl Energy 112:1403–1415CrossRef
Zurück zum Zitat Wei X, Zhao R (2024) Evaluation and spatial convergence of carbon emission reduction efficiency in China's power industry: Based on a three-stage DEA model with game cross-efficiency. Sci Total Environ 906:167851CrossRef Wei X, Zhao R (2024) Evaluation and spatial convergence of carbon emission reduction efficiency in China's power industry: Based on a three-stage DEA model with game cross-efficiency. Sci Total Environ 906:167851CrossRef
Zurück zum Zitat Xie BC, Tan XY, Zhang S et al (2021) Decomposing CO2 emission changes in thermal power sector: A modified production-theoretical approach. J Environ Manag 281:111887CrossRef Xie BC, Tan XY, Zhang S et al (2021) Decomposing CO2 emission changes in thermal power sector: A modified production-theoretical approach. J Environ Manag 281:111887CrossRef
Zurück zum Zitat Zhang X, Huang G, Xie Y et al (2022) A coupled non-deterministic optimization and mixed-level factorial analysis model for power generation expansion planning–A case study of Jing-Jin-Ji metropolitan region, China. Appl Energy 311:118621CrossRef Zhang X, Huang G, Xie Y et al (2022) A coupled non-deterministic optimization and mixed-level factorial analysis model for power generation expansion planning–A case study of Jing-Jin-Ji metropolitan region, China. Appl Energy 311:118621CrossRef
Zurück zum Zitat Zhang X, Zhao X, Jiang Z et al (2017) How to achieve the 2030 CO2 emission-reduction targets for China's industrial sector: retrospective decomposition and prospective trajectories. Glob Environ Chang 44:83–97CrossRef Zhang X, Zhao X, Jiang Z et al (2017) How to achieve the 2030 CO2 emission-reduction targets for China's industrial sector: retrospective decomposition and prospective trajectories. Glob Environ Chang 44:83–97CrossRef
Zurück zum Zitat Zhu Q, Wu JA, Ji XA et al (2018) A simple MILP to determine closest targets in non-oriented DEA model satisfying strong monotonicity. Omega 79:1–8CrossRef Zhu Q, Wu JA, Ji XA et al (2018) A simple MILP to determine closest targets in non-oriented DEA model satisfying strong monotonicity. Omega 79:1–8CrossRef
Metadaten
Titel
Carbon emission reduction potential and driving factors of thermal power plants: Based on the combination of LMDI and DEA approach
verfasst von
Zaixun Jia
Xin Zhao
Publikationsdatum
01.01.2025
Verlag
Springer Netherlands
Erschienen in
Mitigation and Adaptation Strategies for Global Change / Ausgabe 1/2025
Print ISSN: 1381-2386
Elektronische ISSN: 1573-1596
DOI
https://doi.org/10.1007/s11027-024-10192-8