IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v95y2019i1d10.1007_s11069-018-3436-3.html
   My bibliography  Save this article

Decoupling and decomposing analysis of construction industry’s energy consumption in China

Author

Listed:
  • Dequn Zhou

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Lu Zhang

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Donglan Zha

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Fei Wu

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Qunwei Wang

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

Abstract

The construction industry is one of the key industries for driving energy conservation in China. Decoupling of the construction industry development from energy consumption has become the focus of the green economy. This study applied an elastic decoupling model to explore the decoupling status between energy consumption and output value in China’s construction industry. Log-Mean Divisia Index was utilized to explain the factors influencing decoupling from the perspectives of labor, efficiency, and investment. Results indicate that weak decoupling is the main status during 2000–2015. This means Chinese construction industrial development is no longer occurring at the expense of faster energy consumption growth. The labor factor is the dominant factor in the appearance of the decoupling status, and its cumulative increase impact on energy productivity is 230%, followed by efficiency factors (135%). Investment factors fail to drive the construction industry to a decoupling development state in most years, but there have been improvements during the 12th “Five-Year Plan.”

Suggested Citation

  • Dequn Zhou & Lu Zhang & Donglan Zha & Fei Wu & Qunwei Wang, 2019. "Decoupling and decomposing analysis of construction industry’s energy consumption in China," 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. 95(1), pages 39-53, January.
  • Handle: RePEc:spr:nathaz:v:95:y:2019:i:1:d:10.1007_s11069-018-3436-3
    DOI: 10.1007/s11069-018-3436-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-018-3436-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-018-3436-3?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. Mairet, Nicolas & Decellas, Fabrice, 2009. "Determinants of energy demand in the French service sector: A decomposition analysis," Energy Policy, Elsevier, vol. 37(7), pages 2734-2744, July.
    2. Buus, Tomáš, 2017. "Energy efficiency and energy prices: A general mathematical framework," Energy, Elsevier, vol. 139(C), pages 743-754.
    3. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposing the decoupling of CO2 emissions and economic growth in Brazil," Ecological Economics, Elsevier, vol. 70(8), pages 1459-1469, June.
    4. Chong, ChinHao & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou & Li, Xu & Song, Shizhong, 2017. "LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram," Energy, Elsevier, vol. 133(C), pages 525-544.
    5. Dezhi Li & Yujie Lu & Bo Zhang & Peng Cui, 2015. "Decomposition of Energy-Induced Carbon Emissions in the Construction Industry of China," Springer Books, in: Liyin Shen & Kunhui Ye & Chao Mao (ed.), Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, edition 127, chapter 0, pages 193-203, Springer.
    6. Zhang, Xiaohong & Wu, Liqian & Zhang, Rong & Deng, Shihuai & Zhang, Yanzong & Wu, Jun & Li, Yuanwei & Lin, Lili & Li, Li & Wang, Yinjun & Wang, Lilin, 2013. "Evaluating the relationships among economic growth, energy consumption, air emissions and air environmental protection investment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 259-270.
    7. Gamtessa, Samuel & Olani, Adugna Berhanu, 2018. "Energy price, energy efficiency, and capital productivity: Empirical investigations and policy implications," Energy Economics, Elsevier, vol. 72(C), pages 650-666.
    8. Kwan, Fung & Zhang, Yang & Zhuo, Shuaihe, 2018. "Labour reallocation, productivity growth and dualism: The case of China," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 198-210.
    9. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    10. Li, Ke & Lin, Boqiang, 2018. "How to promote energy efficiency through technological progress in China?," Energy, Elsevier, vol. 143(C), pages 812-821.
    11. Xu, X.Y. & Ang, B.W., 2014. "Analysing residential energy consumption using index decomposition analysis," Applied Energy, Elsevier, vol. 113(C), pages 342-351.
    12. Andreoni, V. & Galmarini, S., 2012. "Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption," Energy, Elsevier, vol. 44(1), pages 682-691.
    13. Dong, Bai & Zhang, Ming & Mu, Hailin & Su, Xuanming, 2016. "Study on decoupling analysis between energy consumption and economic growth in Liaoning Province," Energy Policy, Elsevier, vol. 97(C), pages 414-420.
    14. Li, Aijun & Lin, Boqiang, 2013. "Comparing climate policies to reduce carbon emissions in China," Energy Policy, Elsevier, vol. 60(C), pages 667-674.
    15. Li, Wei & Sun, Wen & Li, Guomin & Jin, Baihui & Wu, Wen & Cui, Pengfei & Zhao, Guohao, 2018. "Transmission mechanism between energy prices and carbon emissions using geographically weighted regression," Energy Policy, Elsevier, vol. 115(C), pages 434-442.
    16. Cai, W.G. & Wu, Y. & Zhong, Y. & Ren, H., 2009. "China building energy consumption: Situation, challenges and corresponding measures," Energy Policy, Elsevier, vol. 37(6), pages 2054-2059, June.
    17. Shao, Shuai & Yang, Lili & Gan, Chunhui & Cao, Jianhua & Geng, Yong & Guan, Dabo, 2016. "Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 516-536.
    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. Zhaocheng Li & Yu Song, 2022. "Energy Consumption Linkages of the Chinese Construction Sector," Energies, MDPI, vol. 15(5), pages 1-13, February.
    2. Junheng Qi & Mingxing Hu & Bing Han & Jiemin Zheng & Hui Wang, 2022. "Decoupling Relationship between Industrial Land Expansion and Economic Development in China," Land, MDPI, vol. 11(8), pages 1-21, July.

    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. Liang, Wei & Gan, Ting & Zhang, Wei, 2019. "Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991–2015," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 93-106.
    2. Linwei Ma & Chinhao Chong & Xi Zhang & Pei Liu & Weiqi Li & Zheng Li & Weidou Ni, 2018. "LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China," Sustainability, MDPI, vol. 10(2), pages 1-37, January.
    3. Changjian Wang & Fei Wang & Gengzhi Huang & Yang Wang & Xinlin Zhang & Yuyao Ye & Xiaojie Lin & Zhongwu Zhang, 2021. "Examining the Dynamics and Determinants of Energy Consumption in China’s Megacity Based on Industrial and Residential Perspectives," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    4. Zhao, Xingrong & Zhang, Xi & Shao, Shuai, 2016. "Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment," Energy Economics, Elsevier, vol. 60(C), pages 275-292.
    5. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).
    6. Lu, Qinli & Yang, Hong & Huang, Xianjin & Chuai, Xiaowei & Wu, Changyan, 2015. "Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China," Energy, Elsevier, vol. 82(C), pages 414-425.
    7. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    8. Ru Sha & Tao Ge & Jinye Li, 2022. "How Energy Price Distortions Affect China’s Economic Growth and Carbon Emissions," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    9. Jain, Princy & Goswami, Binoy, 2021. "Energy efficiency in South Asia: Trends and determinants," Energy, Elsevier, vol. 221(C).
    10. Gao, Yuan & Chong, Chin Hao & Liu, Gengyuan & Casazza, Marco & Xiong, Xiaoping & Liu, Bojie & Zhou, Xuanru & Zhou, Xiaoyong & Li, Zheng & Ni, Weidou & Hao, Yan & Ma, Linwei, 2024. "Identification of carbon responsibility factors based on energy consumption from 2005 to 2020 in China," Energy, Elsevier, vol. 296(C).
    11. Ming-Ming Zhao & Rongrong Li, 2018. "Decoupling and decomposition analysis of carbon emissions from economic output in Chinese Guangdong Province: A sector perspective," Energy & Environment, , vol. 29(4), pages 543-555, June.
    12. Shasha Wang & Rongrong Li, 2018. "Toward the Coordinated Sustainable Development of Urban Water Resource Use and Economic Growth: An Empirical Analysis of Tianjin City, China," Sustainability, MDPI, vol. 10(5), pages 1-13, April.
    13. Rui Jiang & Yulin Zhou & Rongrong Li, 2018. "Moving to a Low-Carbon Economy in China: Decoupling and Decomposition Analysis of Emission and Economy from a Sector Perspective," Sustainability, MDPI, vol. 10(4), pages 1-12, March.
    14. Yao Bo Shi & Xin Xin Zhao & Chyi-Lu Jang & Chun-Ping Chang, 2019. "Decoupling effect between economic development and environmental pollution: A spatial-temporal investigation using 31 provinces in China," Energy & Environment, , vol. 30(5), pages 755-775, August.
    15. Rui Jiang & Rongrong Li & Qiuhong Wu, 2019. "Investigation for the Decomposition of Carbon Emissions in the USA with C-D Function and LMDI Methods," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    16. Wang, Zhiping & Feng, Chao & Chen, Jinyu & Huang, Jianbai, 2017. "The driving forces of material use in China: An index decomposition analysis," Resources Policy, Elsevier, vol. 52(C), pages 336-348.
    17. Jia, Hongxiang & Li, Tianjiao & Wang, Anjian & Liu, Guwang & Guo, Xiaoqian, 2021. "Decoupling analysis of economic growth and mineral resources consumption in China from 1992 to 2017: A comparison between tonnage and exergy perspective," Resources Policy, Elsevier, vol. 74(C).
    18. Lei Liu & Ke Wang & Shanshan Wang & Ruiqin Zhang & Xiaoyan Tang, 2019. "Exploring the Driving Forces and Reduction Potential of Industrial Energy-Related CO 2 Emissions during 2001–2030: A Case Study for Henan Province, China," Sustainability, MDPI, vol. 11(4), pages 1-25, February.
    19. Ozdemir, Ali Can, 2023. "Decomposition and decoupling analysis of carbon dioxide emissions in electricity generation by primary fossil fuels in Turkey," Energy, Elsevier, vol. 273(C).
    20. Tang, Chengcai & Zhong, Linsheng & Ng, Pin, 2017. "Factors that Influence the Tourism Industry's Carbon Emissions: a Tourism Area Life Cycle Model Perspective," Energy Policy, Elsevier, vol. 109(C), pages 704-718.

    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:spr:nathaz:v:95:y:2019:i:1:d:10.1007_s11069-018-3436-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.