Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Abstract

Electricity consumption is one of the major contributors to greenhouse gas emissions. In this study, we build a power consumption carbon emission measurement model based on the operating margin factor. We use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantify six effects (i.e., emission intensity, power generation structure, consumption electricity intensity, economic scale, population structure, and population scale) and comprehensively reflect the degree of dependence of electricity consumption carbon emissions on China’s economic development and population changes. Moreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and economic growth and identify corresponding energy efficiency policies. The results of this study provide a new perspective to understand carbon emission reduction potentials in the electricity use of China.

Graphical abstract

Keywords

electricity consumption carbon emission measurement / LMDI model / decoupling model / data driven

References

[1] Abokyi, E Appiah-Konadu, P Tangato, K F Abokyi, F ( 2021). Electricity consumption and carbon dioxide emissions: The role of trade openness and manufacturing sub-sector output in Ghana. Energy and Climate Change, 2: 100026

[2] Andersson, F Karpestam, P ( 2013). CO₂ emissions and economic activity: Short- and long-run economic determinants of scale, energy intensity and carbon intensity. Energy Policy, 61: 1285– 1294

[3] Andreoni, V Galmarini, S ( 2012). Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption. Energy, 44( 1): 682– 691

[4] Chen G ( 2011). Trends in US carbon intensity indicator and enlightenment to China. Sino-Global Energy, 16( 2): 17– 22 (in Chinese)

[5] Chen, L Cai, W Ma, M ( 2020). Decoupling or delusion? Mapping carbon emission per capita based on the human development index in Southwest China. Science of the Total Environment, 741: 138722

[6] Feng, K Davis, S J Sun, L Li, X Guan, D Liu, W Liu, Z Hubacek, K ( 2013). Outsourcing CO₂ within China. Proceedings of the National Academy of Sciences of the United States of America, 110( 28): 11654– 11659

[7] Howard, B Waite, M Modi, V ( 2017). Current and near-term GHG emissions factors from electricity production for New York State and New York City. Applied Energy, 187: 255– 271

[8] Jiang, Q Khattak, S I Rahman, Z U ( 2021). Measuring the simultaneous effects of electricity consumption and production on carbon dioxide emissions (CO₂e) in China: New evidence from an EKC-based assessment. Energy, 229: 120616

[9] Kucukvar, M Cansev, B Egilmez, G Onat, N C Samadi, H ( 2016). Energy–climate–manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries. Applied Energy, 184: 889– 904

[10] Lin, J Pan, D Davis, S J Zhang, Q He, K Wang, C Streets, D G Wuebbles, D J Guan, D ( 2014). China’s international trade and air pollution in the United States. Proceedings of the National Academy of Sciences of the United States of America, 111( 5): 1736– 1741

[11] Liu, M Zhang, X Zhang, M Feng, Y Liu, L Wen, J Liu, L ( 2021). Influencing factors of carbon emissions in transportation industry based on C–D function and LMDI decomposition model: China as an example. Environmental Impact Assessment Review, 90: 106623

[12] Liu, Z Feng, K Hubacek, K Liang, S Anadon, L D Zhang, C Guan, D ( 2015a). Four system boundaries for carbon accounts. Ecological Modelling, 318: 118– 125

[13] Liu, Z Guan, D Wei, W Davis, S J Ciais, P Bai, J Peng, S Zhang, Q Hubacek, K Marland, G Andres, R J Crawford-Brown, D Lin, J Zhao, H Hong, C Boden, T A Feng, K Peters, G P Xi, F Liu, J Li, Y Zhao, Y Zeng, N He, K ( 2015b). Reduced carbon emission estimates from fossil fuel combustion and cement production in China. Nature, 524( 7565): 335– 338

[14] Lu, Q Yang, H Huang, X Chuai, X Wu, C ( 2015). Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China. Energy, 82: 414– 425

[15] Ma, M Cai, W ( 2019). Do commercial building sector-derived carbon emissions decouple from the economic growth in tertiary industry? A case study of four municipalities in China. Science of the Total Environment, 650( Part 1): 822– 834

[16] Mi, Z Meng, J Zheng, H Shan, Y Wei, Y M Guan, D ( 2018). A multi-regional input–output table mapping China’s economic outputs and interdependencies in 2012. Scientific Data, 5( 1): 180155

[17] Quick, J C ( 2014). Carbon dioxide emission tallies for 210 US coal-fired power plants: A comparison of two accounting methods. Journal of the Air & Waste Management Association, 64( 1): 73– 79

[18] Shan, Y Liu, J Liu, Z Xu, X Shao, S Wang, P Guan, D ( 2016). New provincial CO₂ emission inventories in China based on apparent energy consumption data and updated emission factors. Applied Energy, 184: 742– 750

[19] Tapio, P ( 2005). Towards a theory of decoupling: Degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy, 12( 2): 137– 151

[20] Wang, Q Hang, Y Zhou, P Wang, Y ( 2016). Decoupling and attribution analysis of industrial carbon emissions in Taiwan. Energy, 113: 728– 738

[21] Xi, X Han, F Xie, Y Yang, L Yan, H Luo, C Sun, L ( 2021). The key factors influencing the decline of carbon emission intensity in low-carbon cities and countermeasure research: A case of Fuzhou, Jiangxi. IOP Conference Series: Earth and Environmental Science, 769( 2): 022040

[22] Yousuf, I Ghumman, A R Hashmi, H N Kamal, M A ( 2014). Carbon emissions from power sector in Pakistan and opportunities to mitigate those. Renewable & Sustainable Energy Reviews, 34: 71– 77

[23] Zhang, X Jiang, Q Khattak, S I Ahmad, M Rahman, Z U ( 2021). Achieving sustainability and energy efficiency goals: Assessing the impact of hydroelectric and renewable electricity generation on carbon dioxide emission in China. Energy Policy, 155: 112332

[24] Zhang, X Zhang, H Zhao, C Yuan, J ( 2019). Carbon emission intensity of electricity generation in Belt and Road Initiative countries: A benchmarking analysis. Environmental Science and Pollution Research International, 26( 15): 15057– 15068

[25] Zhang, Y J Da, Y B ( 2015). The decomposition of energy-related carbon emission and its decoupling with economic growth in China. Renewable & Sustainable Energy Reviews, 41: 1255– 1266

[26] Zhao, Y Li, H Zhang, Z Zhang, Y Wang, S Liu, Y ( 2017). Decomposition and scenario analysis of CO₂ emissions in China’s power industry: Based on LMDI method. Natural Hazards, 86( 2): 645– 668

[27] Zhou, Z Liu, J Zeng, H Xu, M Li, S ( 2022). Carbon performance evaluation model from the perspective of circular economy — The case of Chinese thermal power enterprise. Frontiers of Engineering Management, 9( 2): 297– 311

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