IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v9y2021i1p45-60n4.html
   My bibliography  Save this article

Energy Consumption in China’s Construction Industry: Energy Driving and Driven Abilities from a Regional Perspective

Author

Listed:
  • Gao Jingxin

    (School of Economics and Management, Dalian University of Technology, Dalian 116024, China)

  • Chen Yunong

    (Institute of Environmental Science, Leiden University, 2300 RALeiden, The Netherlands)

  • Zhong Xiaoyang

    (Institute of Environmental Science, Leiden University, 2300 RALeiden, The Netherlands)

  • Ma Xianrui

    (School of Economics and Management, Southwest University, Chongqing400700, China)

Abstract

The construction industry is one of the largest energy consumers in China. It not only uses energy directly but also consumes a large amount of embodied energy hidden in intermediate goods and services from other industries. This paper utilizes the multi-regional input-output (MRIO) model to measure the embodied energy consumption in China’s construction industry at the province level. To quantify the backward and forward linkages between the construction industry and other industries, the energy-driven and energy-driving abilities of the construction industry are investigated for 30 provinces. The results show that the values of the energy-driven coefficients are significantly larger than the energy-driving coefficients, indicating that the construction industry is highly dependent on products from other industries and other regions, not vice versa. The construction industries in the southwest and northwest regions of China have the highest energy-driven coefficients, showing that the construction industries in west China heavily rely on indirect energy embodied in goods and services. This particularly applies in Guangxi and Hainan provinces, which have the highest energy-driven abilities and the lowest energy-driving abilities. The findings can facilitate the policy-makers to examine the critical energy-saving paths.

Suggested Citation

  • Gao Jingxin & Chen Yunong & Zhong Xiaoyang & Ma Xianrui, 2021. "Energy Consumption in China’s Construction Industry: Energy Driving and Driven Abilities from a Regional Perspective," Journal of Systems Science and Information, De Gruyter, vol. 9(1), pages 45-60, February.
    • Handle: RePEc:bpj:jossai:v:9:y:2021:i:1:p:45-60:n:4
    DOI: 10.21078/JSSI-2021-045-16
    as

    Download full text from publisher

    File URL: https://doi.org/10.21078/JSSI-2021-045-16
    Download Restriction: no
    File URL: https://libkey.io/10.21078/JSSI-2021-045-16?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
    ---><---

    References listed on IDEAS

    as
    1. Stephan, André & Stephan, Laurent, 2016. "Life cycle energy and cost analysis of embodied, operational and user-transport energy reduction measures for residential buildings," Applied Energy, Elsevier, vol. 161(C), pages 445-464.
    2. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    3. Maenpaa, Ilmo & Siikavirta, Hanne, 2007. "Greenhouse gases embodied in the international trade and final consumption of Finland: An input-output analysis," Energy Policy, Elsevier, vol. 35(1), pages 128-143, January.
    4. 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.
    5. Wu, X.D. & Xia, X.H. & Chen, G.Q. & Wu, X.F. & Chen, B., 2016. "Embodied energy analysis for coal-based power generation system-highlighting the role of indirect energy cost," Applied Energy, Elsevier, vol. 184(C), pages 936-950.
    6. Weber, Christopher L. & Peters, Glen P. & Guan, Dabo & Hubacek, Klaus, 2008. "The contribution of Chinese exports to climate change," Energy Policy, Elsevier, vol. 36(9), pages 3572-3577, September.
    7. Chen, G.Q. & Chen, Z.M., 2011. "Greenhouse gas emissions and natural resources use by the world economy: Ecological input–output modeling," Ecological Modelling, Elsevier, vol. 222(14), pages 2362-2376.
    8. McGregor, Peter G. & Swales, J. Kim & Turner, Karen, 2008. "The CO2 'trade balance' between Scotland and the rest of the UK: Performing a multi-region environmental input-output analysis with limited data," Ecological Economics, Elsevier, vol. 66(4), pages 662-673, July.
    9. Liang, Qiao-Mei & Fan, Ying & Wei, Yi-Ming, 2007. "Multi-regional input-output model for regional energy requirements and CO2 emissions in China," Energy Policy, Elsevier, vol. 35(3), pages 1685-1700, March.
    10. Chen, Z.M. & Chen, G.Q., 2011. "An overview of energy consumption of the globalized world economy," Energy Policy, Elsevier, vol. 39(10), pages 5920-5928, October.
    11. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    12. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    13. Dixit, Manish K., 2017. "Life cycle embodied energy analysis of residential buildings: A review of literature to investigate embodied energy parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 390-413.
    14. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    15. Lenzen, Manfred & Dey, Christopher & Foran, Barney, 2004. "Energy requirements of Sydney households," Ecological Economics, Elsevier, vol. 49(3), pages 375-399, July.
    16. Nadim Ahmad & Andrew Wyckoff, 2003. "Carbon Dioxide Emissions Embodied in International Trade of Goods," OECD Science, Technology and Industry Working Papers 2003/15, OECD Publishing.
    17. Mu, Tao & Xia, Qing & Kang, Chongqing, 2010. "Input-output table of electricity demand and its application," Energy, Elsevier, vol. 35(1), pages 326-331.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Chen, G.Q. & Chen, Z.M., 2011. "Greenhouse gas emissions and natural resources use by the world economy: Ecological input–output modeling," Ecological Modelling, Elsevier, vol. 222(14), pages 2362-2376.
    3. Hong, Jingke & Shen, Qiping & Xue, Fan, 2016. "A multi-regional structural path analysis of the energy supply chain in China's construction industry," Energy Policy, Elsevier, vol. 92(C), pages 56-68.
    4. Liu, Hongguang & Liu, Weidong & Fan, Xiaomei & Zou, Wei, 2015. "Carbon emissions embodied in demand–supply chains in China," Energy Economics, Elsevier, vol. 50(C), pages 294-305.
    5. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    6. Zhang, Bo & Chen, Z.M. & Xia, X.H. & Xu, X.Y. & Chen, Y.B., 2013. "The impact of domestic trade on China's regional energy uses: A multi-regional input–output modeling," Energy Policy, Elsevier, vol. 63(C), pages 1169-1181.
    7. Zhang, Bo & Qu, Xue & Meng, Jing & Sun, Xudong, 2017. "Identifying primary energy requirements in structural path analysis: A case study of China 2012," Applied Energy, Elsevier, vol. 191(C), pages 425-435.
    8. Chen, Z.M. & Chen, G.Q., 2011. "Embodied carbon dioxide emission at supra-national scale: A coalition analysis for G7, BRIC, and the rest of the world," Energy Policy, Elsevier, vol. 39(5), pages 2899-2909, May.
    9. Hongguang Liu & Xiaomei Fan, 2017. "Value-Added-Based Accounting of CO 2 Emissions: A Multi-Regional Input-Output Approach," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    10. Xia, Yan & Fan, Ying & Yang, Cuihong, 2015. "Assessing the impact of foreign content in China’s exports on the carbon outsourcing hypothesis," Applied Energy, Elsevier, vol. 150(C), pages 296-307.
    11. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    12. Zhang, Bo & Chen, G.Q., 2010. "Methane emissions by Chinese economy: Inventory and embodiment analysis," Energy Policy, Elsevier, vol. 38(8), pages 4304-4316, August.
    13. Chen, G.Q. & Wu, X.F., 2017. "Energy overview for globalized world economy: Source, supply chain and sink," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 735-749.
    14. Zhang, Bo & Qiao, H. & Chen, B., 2015. "Embodied energy uses by China’s four municipalities: A study based on multi-regional input–output model," Ecological Modelling, Elsevier, vol. 318(C), pages 138-149.
    15. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
    16. Liu, Ying & Jayanthakumaran, Kankesu & Neri, Frank, 2013. "Who is responsible for the CO2 emissions that China produces?," Energy Policy, Elsevier, vol. 62(C), pages 1412-1419.
    17. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    18. Chen, G.Q. & Zhang, Bo, 2010. "Greenhouse gas emissions in China 2007: Inventory and input-output analysis," Energy Policy, Elsevier, vol. 38(10), pages 6180-6193, October.
    19. Zhang, Youguo & Tang, Zhipeng, 2015. "Driving factors of carbon embodied in China's provincial exports," Energy Economics, Elsevier, vol. 51(C), pages 445-454.
    20. Wu, X.D. & Guo, J.L. & Ji, Xi & Chen, G.Q., 2019. "Energy use in world economy from household-consumption-based perspective," Energy Policy, Elsevier, vol. 127(C), pages 287-298.

    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:bpj:jossai:v:9:y:2021:i:1:p:45-60:n:4. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.