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Volume 43 Issue 8
Aug.  2025
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JIA Min, GUO Jing, RUAN Jianhui, CAI Bofeng, WANG Jinnan. Analysis of CO2 emissions influencing factors in power sector across representative regions of China[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(8): 226-232. doi: 10.13205/j.hjgc.202508021
Citation: JIA Min, GUO Jing, RUAN Jianhui, CAI Bofeng, WANG Jinnan. Analysis of CO2 emissions influencing factors in power sector across representative regions of China[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(8): 226-232. doi: 10.13205/j.hjgc.202508021

Analysis of CO2 emissions influencing factors in power sector across representative regions of China

doi: 10.13205/j.hjgc.202508021
  • Received Date: 2025-05-26
  • Accepted Date: 2025-08-20
  • Rev Recd Date: 2025-06-20
  • Accurately quantifying CO2 emissions from the power sector and identifying heterogeneity across generation units are critical for formulating effective decarbonization strategies. Here, we apply the IPCC-recommended methodology to estimate unit-level CO2 emissions and intensities in representative Chinese provinces using detailed 2020 data on energy consumption, power generation, and heat output. A spatially disaggregated assessment across Shandong, Guangdong, Inner Mongolia, and Jiangsu—comprising 324 (489), 123 (245), 165 (255), and 206 (276) plants (units), respectively—reveals that Shandong and Jiangsu dominate in both electricity and heat supply, with coal-fired units remaining the primary contributors. In terms of absolute emissions, provinces with higher emission intensities also tend to contribute more to total CO2 emissions. Coal-fired generation accounts for the majority of emissions, with sub-400 MW units dominating in Shandong and Inner Mongolia, and units above 400 MW dominating in Guangdong and Jiangsu. Units aged 15 to 20 years emerge as the main emission sources, although newer units clearly outperform older ones in energy efficiency. Our findings show substantial variation in CO2 emission intensities across regions and unit types. Inner Mongolia and Shandong exhibit the highest intensities, while gas-fired units consistently outperform coal-fired units in emission performance. Larger units emit less CO2 per output unit, and newer installations demonstrate significantly lower intensities than the older counterparts. This study provides a robust empirical foundation to support differentiated control strategies in China’s power sector, with implications for both near-term policy interventions and long-term climate planning.
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  • [1]
    习近平.在第七十五届联合国大会一般性辩论上的讲话[EB/ OL]. [2025-05-16] http://www. gov. cn/xinwen/2020-09/22/ content_5546168. htm,2020. XI J P. Statement at the General Debate of the 75th Session of the United Nations General Assembly [EB/OL]. [2025-05-16]. http://www. gov. cn/xinwen/2020-09/22/content_5546168. htm, 2020.
    [2]
    国家统计局. 2022中国统计年鉴[M].北京:中国统计出版社,2022. NATIONAL BUREAU OF STATISTICS. China Statistical Yearbook 2022[M]. Beijing:China Statistics Press,2022.
    [3]
    CHEN Q,KANG C,MING H,et al. Assessing the low-carbon effects of inter-regional energy delivery in China’s electricity sector[J]. Renewable and Sustainable Energy Reviews,2014, 32:671-683.
    [4]
    WANG J,RODRIGUES J. F. D,HU M,et al. The evolution of Chinese industrial CO 2 emissions 2000-2050:a review and metaanalysis of historical drivers,projections and policy goals[J]. Renewable and Sustainable Energy Reviews, 2019, 116: 109433.
    [5]
    YANG L,LIN B. Carbon dioxide-emission in China’s power industry:Evidence and policy implications[J]. Renewable and Sustainable Energy Reviews,2016,60:258-267.
    [6]
    YAN Q,ZHANG Q,ZOU X. Decomposition analysis of carbon dioxide emissions in China’ s regional thermal electricity generation,2000–2020[J]. Energy,2016,112:788-794.
    [7]
    PENG X,CHEN H,ZHONG H,et al. Water-saving co-benefits of CO 2 reduction in China’s electricity sector[J]. iScience, 2023,26(2):106035.
    [8]
    GU B,TAN X,ZENG Y,et al. CO2 Emission reduction potential in China’s electricity sector:scenario analysis based on LMDI decomposition[J]. Energy Procedia,2015,75:2436-2447.
    [9]
    ZHAO X,CAI Q,ZHANG S,et al. The substitution of wind power for coal-fired power to realize China’s CO2 emissions reduction targets in 2020 and 2030[J]. Energy,2017,120: 164-178.
    [10]
    JIANG X. T,SU M,LI R. Decomposition analysis in electricity sector output from carbon emissions in China[J]. Sustainability, 2018,10(9):3251.
    [11]
    雷少波,仝晨华,肖斌,等.中国电力行业碳排放时空分布及影响因素研究[J].计量科学与技术,2024,68(11):29-33,70. LEI S B,TONG C H,XIAO B,et al. Spatiotemporal distribution and influencing factors of carbon emissions in China’s power industry[J]. Metrology Science and Technology,2024,68(11): 29-33,70.
    [12]
    刘亚莉,郭晓,戴文婷,等.“碳中和”愿景下我国碳排放现状和减排路径[J].地球环境学报,2023,14(6):683-700. LIU Y L,GUO X,DAI W T,et al. Current status and mitigation pathways of carbon emissions in China under the vision of carbon neutrality[J]. Journal of Earth Environment,2023,14(6): 683-700.
    [13]
    李旭东,谭青博,赵浩辰,等.碳达峰背景下中国电力行业碳排放因素和脱钩效应[J].中国电力,2024,57(5):88-98. LI X D,TAN Q B,ZHAO H C,et al. Carbon emission factors and decoupling effects in China’s power industry under the background of carbon peaking[J]. China Electric Power,2024, 57(5):88-98.
    [14]
    宁礼哲,任家琪,张哲,等. 2020年中国区域及省级电网电力碳足迹研究[J].环境工程,2023,41(3

    ):229-236. NING L Z,REN J Q,ZHANG Z,et al. Carbon footprint of regional and provincial power grids in China in 2020[J]. Environmental Engineering,2023,41(3):229–236.
    [15]
    CHEN Q,FOLLY K. Short-term wind power forecasting based on spatial correlation and artificial neural network [C] // 2020 International SAUPEC/RobMech/PRASA Conference, Cape Town,South Africa:IEEE,2020:1-6.
    [16]
    林振福,黄彦璐,胡旭东,等. 基于电力流的南方区域电力碳排放核算研究[J]. 技术经济与管理研究,2024,(8):109-114. LIN Z F,HUANG Y L,HU X D,et al. Accounting of power carbon emissions in southern China based on electricity flow[J]. Journal of Techno-Economics & Management Research,2024, (8):109-114.
    [17]
    刘红琴,王高天,陈品文,等. 地区电力行业碳排放水平测算及其特点分析[J]. 生态经济,2018,34(4):34-39. LIU H Q,WANG G T,CHEN P W,et al. Estimation and characteristic analysis of carbon emissions in regional power industry[J]. Ecological Economy,2018,34(4):34-39.
    [18]
    JIA M,ZHANG Z,ZHANG L,et al. Optimization of electricity generation and assessment of provincial grid emission factors from 2020 to 2060 in China[J]. Applied Energy,2024,373:123838.
    [19]
    JI L,ZHANG B B,HUANG G H,et al. GHG-mitigation oriented and coal-consumption constrained inexact robust model for regional energy structure adjustment:a case study for Jiangsu Province,China[J]. Renewable Energy,2018,123:549-562.
    [20]
    ZHENG B, TONG D, LI M, et al. Trends in China’s anthropogenic emissions since 2010 as the consequence of clean air actions[J]. Atmospheric Chemistry and Physics,2018,18(19):14095-14111.
    [21]
    KUROKAWA J,OHARA T. Long-term historical trends in air pollutant emissions in Asia:Regional Emission inventory in ASia (REAS) version 3[J]. Atmospheric Chemistry and Physics, 2020,20(21):12761-12793.
    [22]
    FAN T,LIU X,WU C,et al. Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a country-level inventory over China and the simulations of the aerosol properties [J]. Advances in Atmospheric Sciences,2022,39(1):80-96.
    [23]
    Datahub. Community Emissions Data System(CEDS)[EB/OL]. [2025-05-16]. https://github. com/JGCRI/CEDS,2024.
    [24]
    HOESLY R M,SMITH S J,FENG L,et al. Historical(1750– 2014)anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System(CEDS)[J]. Geoscientific Model Development,2018,11(1):369-408.
    [25]
    XIE P, GAO S, SUN F. An analysis of the decoupling relationship between CO2 emission in power industry and GDP in China based on LMDI method[J]. Journal of Cleaner Production, 2019,211:598-606.
    [26]
    吴杏平,康重庆,袁启恒. 我国碳排放影响因素及电力碳排放核算方法研究综述[J]. 中国电机工程学报,2024,44(增刊1): 1-18. WU X P,KANG C Q,YUAN Q H. A review of influencing factors of carbon emissions and accounting methods for power sector emissions in China[J]. Proceedings of the CSEE,2024

    ,44(S1):1-18.
    [27]
    郭森,王宇慧,周劲松,等. 数字经济发展对我国省级电力行业碳排放影响研究[J]. 智慧电力,2024,52(11):32-39. GUO S,WANG Y H,ZHOU J S,et al. Impact of digital economy development on carbon emissions in China’s provincial power industry[J]. Smart Power,2024,52(11):32–39.
    [28]
    郑雅丽,师玮,王维鹃,等. 中国环境规制对电力行业碳排放的影响[J]. 环境科学,2025,46(6):3496-3508. ZHENG Y L, SHI W, WANG W J, et al. Impact of environmental regulation on carbon emissions in China’s power industry[J]. Environmental Science,2025,46(6):3496-3508.
    [29]
    WANG W,TANG Q,GAO B. Exploration of CO2 emission reduction pathways:identification of influencing factors of CO2 emission and CO 2 emission reduction potential of power industry [J]. Clean Technologies and Environmental Policy,2023,25(5):1589-1603.
    [30]
    MENG M, JING K, MANDER S. Scenario analysis of CO2 emissions from China's electric power industry[J]. Journal of Cleaner Production,2017,142:3101-3108..
    [31]
    TAO Y,WEN Z,XU L,et al. Technology options:can Chinese power industry reach the CO2 emission peak before 2030?[J]. Resources,Conservation and Recycling,2019,147:85-94.
    [32]
    IPCC. 2006 IPCC Guidelines for National Greenhouse Gas Inventories [EB/OL]. [2025-05-16]. https://www. ipcc. ch/ report/2006-ipcc-guidelines-for-national-greenhouse-gasinventories/,2007.
    [33]
    CAI B,LIANG,S,ZHOU,J,et al. China High Resolution Emission Database (CHRED) with point emission sources, gridded emission data,and supplementary socioeconomic data [J]. Resources, Conservation and Recycling. 2018, 129, 232-239.
    [34]
    国家应对气候变化协调小组办公室. 中华人民共和国温室气体清单2005[M]. 北京:中国环境科学出版社,2007. Office of the Coordination Group on national Climate change responses. The People’s Republic of China National Greenhouse Gas Inventory 2005[M]. Beijing:China Environmental Science Press,2007.
    [35]
    国家应对气候变化协调小组办公室. 中华人民共和国温室气体清单2008[M]. 北京:中国计划出版社,2014. Office of the Coordination Group on National Climate Change Responses. The People’s Republic of China National Greenhouse Gas Inventory 2008[M]. Beijing:China Planning Press,2014.
    [36]
    中华人民共和国生态环境部. 中国区域电网排放因子[EB/ OL]. [2025-05-16]. http://www. ncsc. org. cn/SY/tjkhybg/ 202003/t20200323_770098. shtml,2020. Ministry of Ecology and Environment of the People's Republic of China. Emission factors for regional power grids in China. [EB/ OL]. [2025-05-16] http://www. ncsc. org. cn/SY/tjkhybg/ 202003/t20200323_770098. shtml,2020.
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