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Decomposition of Energy-Induced Carbon Emissions in the Construction Industry of China

In: Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Dezhi Li

    (Southeast University)

  • Yujie Lu

    (National University of Singapore)

  • Bo Zhang

    (Southeast University)

  • Peng Cui

    (Southeast University)

Abstract

With the rapid development of the global economy, the amount of China’s carbon emission has been increasing consistently in a high speed, causing huge environment problems. The construction industry, as the leading pillar of the national economic and social development, accounts for a large proportion of the total carbon emissions in China. Several calculation methods have been used to calculate carbon emissions. However, the main influencing factors need to be found to reduce carbon emissions. In this paper, the Logarithmic Mean Divisia Index (LMDI) technique is used to decompose the energy-induced carbon emissions of the construction industry into four factors: construction areas, construction investment efficiency (output value per unit), energy intensity, and carbon intensity. Based on IPCC carbon emission factors and data from Chinese Energy Statistical Yearbooks and Chinese Construction Industry Statistical Yearbooks, the factors of energy-induced carbon emissions in China were decomposed with LMDI method and Kaya equation. Proper countermeasures are proposed to reduce the energy-induced carbon emissions of the construction industry in China.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:sprchp:978-3-662-46994-1_17
    DOI: 10.1007/978-3-662-46994-1_17
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    Citations

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    Cited by:

    1. Kangji Li & Lei Pan & Wenping Xue & Hui Jiang & Hanping Mao, 2017. "Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study," Energies, MDPI, vol. 10(2), pages 1-23, February.
    2. 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.

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