IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i4p699-d207925.html
   My bibliography  Save this article

Sources of China’s Fossil Energy-Use Change

Author

Listed:
  • Yawen Han

    (School of Earth Sciences and Resources, China University of Geosciences, Beijing. 29 Xueyuan Road, Haidian District, Beijing 100083, China
    Graduate School of Economics, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
    Research Center for Strategy of Global Mineral Resources, Chinese Academy of Geological Sciences, 26 Baiwanzhuang Street, Xicheng District, Beijing 100037, China)

  • Shigemi Kagawa

    (Faculty of Economics, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan)

  • Fumiya Nagashima

    (Graduate School of Economics, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan)

  • Keisuke Nansai

    (National Institute for Environmental Studies of Japan, 16-2 Onokawa, Tsukuba, Ibaraki 305-0053, Japan)

Abstract

Technology improvement related to energy conservation and energy mix low-carbonization is a critical approach for tackling global warming in China. Therefore, we attempt to identify the technology factors of China’s energy consumption change between 2007 and 2012, when China’s economy started slowing. This study proposes a new refined structural decomposition analysis (SDA) based on a hybrid multi-regional input–output (MRIO) model. The technology factors are expressed through the energy input level effect, energy composition effect, and non-energy input effect. We find that the energy level effect was the primary driver for energy reduction, saving 1205 million tonnes of standard coal equivalent (Mtce) of energy, while 520 Mtce was offset by energy composition and non-energy input effects. The sector analysis shows that the energy input level, energy composition, and non-energy input effects of electricity, the chemical industry, and metallurgy are noteworthy. In addition, the sector contribution to energy-use change, by province, related to the three effects, is also studied. From these results, we propose policy suggestions for further energy saving, in order to achieve China’s energy target through technology improvements by the higher priority contributors identified.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:699-:d:207925
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/4/699/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/4/699/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2012. "Application of the Structural Decomposition Analysis to assess the indirect energy consumption and air emission changes related to Italian households consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1135-1145.
    2. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    3. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    4. Erik Dietzenbacher & Jesper Stage, 2006. "Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis," Economic Systems Research, Taylor & Francis Journals, vol. 18(1), pages 85-95.
    5. Erik Dietzenbacher & Alex R. Hoen, 1998. "Deflation Of Input‐Output Tables From The User'S Point Of View: A Heuristic Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(1), pages 111-122, March.
    6. Xie, Shi-Chen, 2014. "The driving forces of China׳s energy use from 1992 to 2010: An empirical study of input–output and structural decomposition analysis," Energy Policy, Elsevier, vol. 73(C), pages 401-415.
    7. Weber, Christopher L., 2009. "Measuring structural change and energy use: Decomposition of the US economy from 1997 to 2002," Energy Policy, Elsevier, vol. 37(4), pages 1561-1570, April.
    8. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    9. Manfred Lenzen, 2016. "Structural analyses of energy use and carbon emissions -- an overview," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 119-132, June.
    10. 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.
    11. Rutger Hoekstra & Jeroen van den Bergh, 2002. "Structural Decomposition Analysis of Physical Flows in the Economy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(3), pages 357-378, November.
    12. Wachsmann, Ulrike & Wood, Richard & Lenzen, Manfred & Schaeffer, Roberto, 2009. "Structural decomposition of energy use in Brazil from 1970 to 1996," Applied Energy, Elsevier, vol. 86(4), pages 578-587, April.
    13. 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.
    14. Sher, Farooq & Pans, Miguel A. & Afilaka, Daniel T. & Sun, Chenggong & Liu, Hao, 2017. "Experimental investigation of woody and non-woody biomass combustion in a bubbling fluidised bed combustor focusing on gaseous emissions and temperature profiles," Energy, Elsevier, vol. 141(C), pages 2069-2080.
    15. Zhang, Haiyan & Lahr, Michael L., 2014. "China's energy consumption change from 1987 to 2007: A multi-regional structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 682-693.
    16. repec:bla:revinw:v:44:y:1998:i:1:p:111-22 is not listed on IDEAS
    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. 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.
    2. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(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. 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).
    2. 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.
    3. Bowen Xiao & Dongxiao Niu & Xiaodan Guo, 2016. "The Driving Forces of Changes in CO 2 Emissions in China: A Structural Decomposition Analysis," Energies, MDPI, vol. 9(4), pages 1-17, March.
    4. He, He & Reynolds, Christian John & Li, Linyang & Boland, John, 2019. "Assessing net energy consumption of Australian economy from 2004–05 to 2014–15: Environmentally-extended input-output analysis, structural decomposition analysis, and linkage analysis," Applied Energy, Elsevier, vol. 240(C), pages 766-777.
    5. 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.
    6. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    7. Román-Collado, Rocío & Colinet, Maria José, 2018. "Is energy efficiency a driver or an inhibitor of energy consumption changes in Spain? Two decomposition approaches," Energy Policy, Elsevier, vol. 115(C), pages 409-417.
    8. 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.
    9. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    10. Dietzenbacher, Erik & Kulionis, Viktoras & Capurro, Filippo, 2020. "Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014," Applied Energy, Elsevier, vol. 258(C).
    11. Nooraddin Sharify & Ramezan Hosseinzadeh, 2015. "Sources of Change in Energy Consumption in Iran: A Structural Decomposition Analysis," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 19(3), pages 325-339, Autumn.
    12. Radwan, Amira & Hongyun, Han & Achraf, Abdelhak & Mustafa, Ahmed M., 2022. "Energy use and energy-related carbon dioxide emissions drivers in Egypt's economy: Focus on the agricultural sector with a structural decomposition analysis," Energy, Elsevier, vol. 258(C).
    13. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    14. Jialing Zou & Weidong Liu & Zhipeng Tang, 2017. "Analysis of Factors Contributing to Changes in Energy Consumption in Tangshan City between 2007 and 2012," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
    15. 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.
    16. Yun-Hsun Huang & Jung-Hua Wu & Hao-Syuan Huang, 2021. "Analyzing the Driving Forces behind CO 2 Emissions in Energy-Resource-Poor and Fossil-Fuel-Centered Economies: Case Studies from Taiwan, Japan, and South Korea," Energies, MDPI, vol. 14(17), pages 1-14, August.
    17. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    18. Zhang, Pengpeng & Zhang, Lixiao & Tian, Xin & Hao, Yan & Wang, Changbo, 2018. "Urban energy transition in China: Insights from trends, socioeconomic drivers, and environmental impacts of Beijing," Energy Policy, Elsevier, vol. 117(C), pages 173-183.
    19. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    20. Duarte, Rosa & Mainar, Alfredo & Sánchez-Chóliz, Julio, 2013. "The role of consumption patterns, demand and technological factors on the recent evolution of CO2 emissions in a group of advanced economies," Ecological Economics, Elsevier, vol. 96(C), pages 1-13.

    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:gam:jeners:v:12:y:2019:i:4:p:699-:d:207925. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.