IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v124y2019icp1-12.html
   My bibliography  Save this article

CO2 emission changes of China's power generation system: Input-output subsystem analysis

Author

Listed:
  • Ma, Jia-Jun
  • Du, Gang
  • Xie, Bai-Chen

Abstract

With the rapid development of economy, China's electric power consumption has increased sharply. Its carbon emissions derived from power generation now accounts for more than 45% of the national emissions. This study employs a structural decomposition analysis based on input-output subsystem model to explore sources for emissions increments in China's power sector from 2007 to 2015. Under this approach, the influential factors are classified into four categories. Quite a few scenarios are designed to further assess the impacts of power mix and the levy of carbon tax. The results show that the consumption is the main driving growth factor of CO2 emissions, and most of the emissions are driven by continuing expansion of large-scale infrastructure, and this trend seems going to change in the future; carbon tax and price policies may be the alternative for reducing the emissions. In addition, both the generation efficiency and internal industrial structure are critical factors in emission reduction. Besides, cleaner energy sources effectively lead to carbon emission reduction but this change performs a relatively small effect. Finally, promoting the development of non-fossil energy power may lead to total CO2 emissions perform decrease trend before 2030.

Suggested Citation

  • Ma, Jia-Jun & Du, Gang & Xie, Bai-Chen, 2019. "CO2 emission changes of China's power generation system: Input-output subsystem analysis," Energy Policy, Elsevier, vol. 124(C), pages 1-12.
  • Handle: RePEc:eee:enepol:v:124:y:2019:i:c:p:1-12
    DOI: 10.1016/j.enpol.2018.09.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518306438
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2018.09.030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. Lindner & J. Legault & D. Guan, 2013. "Disaggregating The Electricity Sector Of China'S Input-Output Table For Improved Environmental Life-Cycle Assessment," Economic Systems Research, Taylor & Francis Journals, vol. 25(3), pages 300-320, September.
    2. de Koning, Arjan & Bruckner, Martin & Lutter, Stephan & Wood, Richard & Stadler, Konstantin & Tukker, Arnold, 2015. "Effect of aggregation and disaggregation on embodied material use of products in input–output analysis," Ecological Economics, Elsevier, vol. 116(C), pages 289-299.
    3. Karmellos, M. & Kopidou, D. & Diakoulaki, D., 2016. "A decomposition analysis of the driving factors of CO2 (Carbon dioxide) emissions from the power sector in the European Union countries," Energy, Elsevier, vol. 94(C), pages 680-692.
    4. Lin, Boqiang & Liu, Chang, 2016. "Why is electricity consumption inconsistent with economic growth in China?," Energy Policy, Elsevier, vol. 88(C), pages 310-316.
    5. Choi, Jun-Ki & Bakshi, Bhavik R. & Haab, Timothy, 2010. "Effects of a carbon price in the U.S. on economic sectors, resource use, and emissions: An input-output approach," Energy Policy, Elsevier, vol. 38(7), pages 3527-3536, July.
    6. Dixit, Manish K., 2017. "Embodied energy analysis of building materials: An improved IO-based hybrid method using sectoral disaggregation," Energy, Elsevier, vol. 124(C), pages 46-58.
    7. Kaufmann, Robert K. & Vaid, Devina, 2016. "Lower electricity prices and greenhouse gas emissions due to rooftop solar: empirical results for Massachusetts," Energy Policy, Elsevier, vol. 93(C), pages 345-352.
    8. Yang, Jin & Chen, Bin, 2016. "Emergy-based sustainability evaluation of wind power generation systems," Applied Energy, Elsevier, vol. 177(C), pages 239-246.
    9. Lim, Hea-Jin & Yoo, Seung-Hoon & Kwak, Seung-Jun, 2009. "Industrial CO2 emissions from energy use in Korea: A structural decomposition analysis," Energy Policy, Elsevier, vol. 37(2), pages 686-698, February.
    10. Choi, Jun-Ki & Bakshi, Bhavik R. & Hubacek, Klaus & Nader, Jordan, 2016. "A sequential input–output framework to analyze the economic and environmental implications of energy policies: Gas taxes and fuel subsidies," Applied Energy, Elsevier, vol. 184(C), pages 830-839.
    11. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    12. Zhang, Ming & Liu, Xiao & Wang, Wenwen & Zhou, Min, 2013. "Decomposition analysis of CO2 emissions from electricity generation in China," Energy Policy, Elsevier, vol. 52(C), pages 159-165.
    13. Nagashima, Shin & Uchiyama, Yohji & Okajima, Keiichi, 2017. "Hybrid input–output table method for socioeconomic and environmental assessment of a wind power generation system," Applied Energy, Elsevier, vol. 185(P2), pages 1067-1075.
    14. Li, Li & Tan, Zhongfu & Wang, Jianhui & Xu, Jun & Cai, Chengkai & Hou, Yong, 2011. "Energy conservation and emission reduction policies for the electric power industry in China," Energy Policy, Elsevier, vol. 39(6), pages 3669-3679, June.
    15. Ang, B.W. & Goh, Tian, 2016. "Carbon intensity of electricity in ASEAN: Drivers, performance and outlook," Energy Policy, Elsevier, vol. 98(C), pages 170-179.
    16. Hong, Jingke & Shen, Geoffrey Qiping & Guo, Shan & Xue, Fan & Zheng, Wei, 2016. "Energy use embodied in China׳s construction industry: A multi-regional input–output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1303-1312.
    17. Shrestha, Ram M. & Anandarajah, Gabrial & Liyanage, Migara H., 2009. "Factors affecting CO2 emission from the power sector of selected countries in Asia and the Pacific," Energy Policy, Elsevier, vol. 37(6), pages 2375-2384, June.
    18. Wang, Changbo & Zhang, Lixiao & Chang, Yuan & Pang, Mingyue, 2015. "Biomass direct-fired power generation system in China: An integrated energy, GHG emissions, and economic evaluation for Salix," Energy Policy, Elsevier, vol. 84(C), pages 155-165.
    19. Butnar, Isabela & Llop, Maria, 2011. "Structural decomposition analysis and input-output subsystems: Changes in CO2 emissions of Spanish service sectors (2000-2005)," Ecological Economics, Elsevier, vol. 70(11), pages 2012-2019, September.
    20. Chia‐Hao Liu & Manfred Lenzen & Joy Murray, 2012. "A disaggregated emissions inventory for Taiwan with uses in hybrid input‐output life cycle analysis (IO‐LCA)," Natural Resources Forum, Blackwell Publishing, vol. 36, pages 123-141, May.
    21. Shrestha, Ram M. & Timilsina, Govinda R., 1996. "Factors affecting CO2 intensities of power sector in Asia: A Divisia decomposition analysis," Energy Economics, Elsevier, vol. 18(4), pages 283-293, October.
    22. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2014. "Drivers of greenhouse gas emissions in the Baltic States: A structural decomposition analysis," Ecological Economics, Elsevier, vol. 98(C), pages 22-28.
    23. Steenhof, Paul A., 2007. "Decomposition for emission baseline setting in China's electricity sector," Energy Policy, Elsevier, vol. 35(1), pages 280-294, January.
    24. Dong, Huijuan & Dai, Hancheng & Geng, Yong & Fujita, Tsuyoshi & Liu, Zhe & Xie, Yang & Wu, Rui & Fujii, Minoru & Masui, Toshihiko & Tang, Liang, 2017. "Exploring impact of carbon tax on China’s CO2 reductions and provincial disparities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 596-603.
    25. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
    26. Yang, Lisha & Lin, Boqiang, 2016. "Carbon dioxide-emission in China׳s power industry: Evidence and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 258-267.
    27. Chang, Yuan & Ries, Robert J. & Wang, Yaowu, 2010. "The embodied energy and environmental emissions of construction projects in China: An economic input-output LCA model," Energy Policy, Elsevier, vol. 38(11), pages 6597-6603, November.
    28. Liang, Sai & Zhang, Tianzhu, 2011. "What is driving CO2 emissions in a typical manufacturing center of South China? The case of Jiangsu Province," Energy Policy, Elsevier, vol. 39(11), pages 7078-7083.
    29. Zhao, Xiaoli & Yin, Haitao & Zhao, Yue, 2015. "Impact of environmental regulations on the efficiency and CO2 emissions of power plants in China," Applied Energy, Elsevier, vol. 149(C), pages 238-247.
    30. Xu, Ming & Li, Ran & Crittenden, John C. & Chen, Yongsheng, 2011. "CO2 emissions embodied in China's exports from 2002 to 2008: A structural decomposition analysis," Energy Policy, Elsevier, vol. 39(11), pages 7381-7388.
    31. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    32. Yan, Qingyou & Zhang, Qian & Zou, Xin, 2016. "Decomposition analysis of carbon dioxide emissions in China's regional thermal electricity generation, 2000–2020," Energy, Elsevier, vol. 112(C), pages 788-794.
    33. Alcántara, Vicent & Padilla, Emilio, 2009. "Input-output subsystems and pollution: An application to the service sector and CO2 emissions in Spain," Ecological Economics, Elsevier, vol. 68(3), pages 905-914, January.
    34. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    35. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    36. Sumabat, Ana Karmela & Lopez, Neil Stephen & Yu, Krista Danielle & Hao, Han & Li, Richard & Geng, Yong & Chiu, Anthony S.F., 2016. "Decomposition analysis of Philippine CO2 emissions from fuel combustion and electricity generation," Applied Energy, Elsevier, vol. 164(C), pages 795-804.
    37. Cansino, José M. & Román, Rocío & Ordóñez, Manuel, 2016. "Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis," Energy Policy, Elsevier, vol. 89(C), pages 150-159.
    38. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.
    39. Manfred Lenzen, 2011. "Aggregation Versus Disaggregation In Input-Output Analysis Of The Environment," Economic Systems Research, Taylor & Francis Journals, vol. 23(1), pages 73-89.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wei Shi & Wenwen Tang & Fuwei Qiao & Zhiquan Sha & Chengyuan Wang & Sixue Zhao, 2022. "How to Reduce Carbon Dioxide Emissions from Power Systems in Gansu Province—Analyze from the Life Cycle Perspective," Energies, MDPI, vol. 15(10), pages 1-15, May.
    2. Jieting Yin & Chaowei Huang, 2022. "Analysis on Influencing Factors Decomposition and Decoupling Effect of Power Carbon Emissions in Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    3. Jia, Zhijie & Wen, Shiyan & Wang, Yao, 2023. "Power coming from the sky: Economic benefits of inter-regional power transmission in China," Energy Economics, Elsevier, vol. 119(C).
    4. Chuan-Chuan Ko & Chien-Yu Liu & Zan-Yu Chen & Jing Zhou, 2019. "Sustainable Development Economic Strategy Model for Reducing Carbon Emission by Using Real Options Approach," Sustainability, MDPI, vol. 11(19), pages 1-14, October.
    5. Xiaocun Zhang & Qiwen Zhu & Xueqi Zhang, 2023. "Carbon Emission Intensity of Final Electricity Consumption: Assessment and Decomposition of Regional Power Grids in China from 2005 to 2020," Sustainability, MDPI, vol. 15(13), pages 1-19, June.
    6. Banacloche, Santacruz & Cadarso, Maria Angeles & Monsalve, Fabio & Lechon, Yolanda, 2020. "Assessment of the sustainability of Mexico green investments in the road to Paris," Energy Policy, Elsevier, vol. 141(C).
    7. Wang, Like & Fan, Yee Van & Jiang, Peng & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2021. "Virtual water and CO2 emission footprints embodied in power trade: EU-27," Energy Policy, Elsevier, vol. 155(C).
    8. Zhang, Pengfei & Cai, Wenqiu & Yao, Mingtao & Wang, Zhiyou & Yang, Luzhen & Wei, Wendong, 2020. "Urban carbon emissions associated with electricity consumption in Beijing and the driving factors," Applied Energy, Elsevier, vol. 275(C).
    9. Lach, Łukasz, 2022. "Optimization based structural decomposition analysis as a tool for supporting environmental policymaking," Energy Economics, Elsevier, vol. 115(C).
    10. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    11. Li, Bo & Ma, Ziming & Hidalgo-Gonzalez, Patricia & Lathem, Alex & Fedorova, Natalie & He, Gang & Zhong, Haiwang & Chen, Minyou & Kammen, Daniel M., 2021. "Modeling the impact of EVs in the Chinese power system: Pathways for implementing emissions reduction commitments in the power and transportation sectors," Energy Policy, Elsevier, vol. 149(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Goh, Tian & Ang, B.W. & Xu, X.Y., 2018. "Quantifying drivers of CO2 emissions from electricity generation – Current practices and future extensions," Applied Energy, Elsevier, vol. 231(C), pages 1191-1204.
    2. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    3. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    4. Kim, Yong-Gun & Yoo, Jonghyun & Oh, Wankeun, 2015. "Driving forces of rapid CO2 emissions growth: A case of Korea," Energy Policy, Elsevier, vol. 82(C), pages 144-155.
    5. Cansino, José M. & Román, Rocío & Ordóñez, Manuel, 2016. "Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis," Energy Policy, Elsevier, vol. 89(C), pages 150-159.
    6. Ang, B.W. & Goh, Tian, 2016. "Carbon intensity of electricity in ASEAN: Drivers, performance and outlook," Energy Policy, Elsevier, vol. 98(C), pages 170-179.
    7. Goh, Tian & Ang, B.W. & Su, Bin & Wang, H., 2018. "Drivers of stagnating global carbon intensity of electricity and the way forward," Energy Policy, Elsevier, vol. 113(C), pages 149-156.
    8. Ramos, Carmen & García, Ana Salomé & Moreno, Blanca & Díaz, Guzmán, 2019. "Small-scale renewable power technologies are an alternative to reach a sustainable economic growth: Evidence from Spain," Energy, Elsevier, vol. 167(C), pages 13-25.
    9. Xue-Ting Jiang & Min Su & Rongrong Li, 2018. "Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    10. Wang, Junfeng & He, Shutong & Qiu, Ye & Liu, Nan & Li, Yongjian & Dong, Zhanfeng, 2018. "Investigating driving forces of aggregate carbon intensity of electricity generation in China," Energy Policy, Elsevier, vol. 113(C), pages 249-257.
    11. Xu, Duo & Liu, Gengyuan & Meng, Fanxin & Yan, Ningyu & Li, Hui & Agostinho, Feni & Almeida, Cecilia MVB & Giannetti, Biagio F, 2023. "Sector aggregation effect on embodied carbon emission based on city-centric global multi-region input-output (CCG-MRIO) model," Ecological Modelling, Elsevier, vol. 484(C).
    12. Liu, Lirong & Huang, Guohe & Baetz, Brian & Zhang, Kaiqiang, 2018. "Environmentally-extended input-output simulation for analyzing production-based and consumption-based industrial greenhouse gas mitigation policies," Applied Energy, Elsevier, vol. 232(C), pages 69-78.
    13. Rodrigues, João F.D. & Wang, Juan & Behrens, Paul & de Boer, Paul, 2020. "Drivers of CO2 emissions from electricity generation in the European Union 2000–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    14. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    15. Juan David Rivera-Niquepa & Daniela Rojas-Lozano & Paulo M. De Oliveira-De Jesus & Jose M. Yusta, 2022. "Decomposition Analysis of the Aggregate Carbon Intensity (ACI) of the Power Sector in Colombia—A Multi-Temporal Analysis," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    16. Yuhuan Zhao & Hao Li & Zhonghua Zhang & Yongfeng Zhang & Song Wang & Ya Liu, 2017. "Decomposition and scenario analysis of CO2 emissions in China’s power industry: based on LMDI method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 645-668, March.
    17. Rong Yuan & Tao Zhao & Jing Xu, 2017. "A subsystem input–output decomposition analysis of CO2 emissions in the service sectors: a case study of Beijing, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2181-2198, December.
    18. Liu, Lirong & Huang, Gordon & Baetz, Brian & Cheng, Guanhui & Pittendrigh, Scott M. & Pan, Siyue, 2020. "Input-output modeling analysis with a detailed disaggregation of energy sectors for climate change policy-making: A case study of Saskatchewan, Canada," Renewable Energy, Elsevier, vol. 151(C), pages 1307-1317.
    19. Mathy, Sandrine & Menanteau, Philippe & Criqui, Patrick, 2018. "After the Paris Agreement: Measuring the Global Decarbonization Wedges From National Energy Scenarios," Ecological Economics, Elsevier, vol. 150(C), pages 273-289.
    20. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:124:y:2019:i:c:p:1-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.