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Analysis of China's energy consumption and intensity during the 13th five-year plan period

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  • Li, Yingzhu
  • Lin, Yingchao
  • Su, Bin

Abstract

China has set ambitious energy and climate targets to support sustainable development. However, the pace of energy intensity reduction has slowed, while energy consumption continues to grow. Comprehending recent trends in energy consumption and intensity performance is essential for advancing the country's energy transition and conservation efforts. Using an input-output framework, this study reveals that (1) the COVID-19 pandemic indirectly spiked energy consumption in energy-intensive sectors such as S11-Petroleum & Coke and S12-Chemicials, with some impacts likely to persist due to behavioral shifts; (2) key supply chain nodes like S15-Metal products and S34-Leasing & Business services may have been overlooked in current energy conservation policies focused on production or consumption; (3) energy intensity reduction curbed energy consumption growth significantly during 2015–2018, while increased total final demand remained the dominant driver of consumption growth; and (4) major energy users, such as S14-Metals, S11 and S13- Non-metallic minerals, experienced a deterioration in energy intensity during 2018–2020, indicating that conservation-focused policies alone are insufficient to achieve sustained reductions in this ratio indicator. Policy implications, such as fostering high-tech manufacturing and enhancing product differentiation, are discussed as vital strategies for future energy conservation efforts.

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  • Li, Yingzhu & Lin, Yingchao & Su, Bin, 2025. "Analysis of China's energy consumption and intensity during the 13th five-year plan period," Energy Policy, Elsevier, vol. 198(C).
  • Handle: RePEc:eee:enepol:v:198:y:2025:i:c:s0301421524004531
    DOI: 10.1016/j.enpol.2024.114433
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    1. Meng, Guanfei & Liu, Hongxun & Li, Jianglong & Sun, Chuanwang, 2022. "Determination of driving forces for China's energy consumption and regional disparities using a hybrid structural decomposition analysis," Energy, Elsevier, vol. 239(PC).
    2. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    3. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    4. Zhipeng Tang & Shuang Wu & Jialing Zou, 2020. "Consumption substitution and change of household indirect energy consumption in China between 1997 and 2012," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-19, August.
    5. Feng, Cuiyang & Tang, Xu & Jin, Yi & Guo, Yuhua & Zhang, Xiaochuan, 2019. "Regional energy-water nexus based on structural path betweenness: A case study of Shanxi Province, China," Energy Policy, Elsevier, vol. 127(C), pages 102-112.
    6. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    7. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
    8. Duarte, Rosa & Sanchez-Choliz, Julio & Bielsa, Jorge, 2002. "Water use in the Spanish economy: an input-output approach," Ecological Economics, Elsevier, vol. 43(1), pages 71-85, November.
    9. Zhaocheng Li & Yu Song, 2022. "Energy Consumption Linkages of the Chinese Construction Sector," Energies, MDPI, vol. 15(5), pages 1-13, February.
    10. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    11. Yu, Miao & Zhao, Xintong & Gao, Yuning, 2019. "Factor decomposition of China’s industrial electricity consumption using structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 67-76.
    12. Yawen Han & Shigemi Kagawa & Fumiya Nagashima & Keisuke Nansai, 2019. "Sources of China’s Fossil Energy-Use Change," Energies, MDPI, vol. 12(4), pages 1-16, February.
    13. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    14. Guerra, Ana-Isabel & Sancho, Ferran, 2010. "Measuring energy linkages with the hypothetical extraction method: An application to Spain," Energy Economics, Elsevier, vol. 32(4), pages 831-837, July.
    15. Li, Yiming & Wang, Zhaohua & He, Weijun & Zhao, Yuandong & Xu, Ming & Zhang, Bin, 2021. "Critical transmission sectors for CO2 emission mitigation in supply chains," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    16. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    17. Perobelli, Fernando Salgueiro & Faria, Weslem Rodrigues & Vale, Vinicius de Almeida, 2015. "The increase in Brazilian household income and its impact on CO2 emissions: Evidence for 2003 and 2009 from input–output tables," Energy Economics, Elsevier, vol. 52(PA), pages 228-239.
    18. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    19. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    20. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    21. Henri Aujac, 1960. "La hiérarchie des industries dans un tableau des échanges interindustriels," Revue Économique, Programme National Persée, vol. 11(2), pages 169-238.
    22. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    23. Wang, Yuan & Wang, Wenqin & Mao, Guozhu & Cai, Hua & Zuo, Jian & Wang, Lili & Zhao, Peng, 2013. "Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis," Energy Policy, Elsevier, vol. 62(C), pages 1238-1244.
    24. Zheng, Jiali & Feng, Gengzhong & Ren, Zhuanzhuan & Qi, Nengxi & Coffman, D'Maris & Zhou, Yunlai & Wang, Shouyang, 2022. "China's energy consumption and economic activity at the regional level," Energy, Elsevier, vol. 259(C).
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