IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v118y2018icp429-439.html
   My bibliography  Save this article

Carbon emission and abatement potential outlook in China's building sector through 2050

Author

Listed:
  • Tan, Xianchun
  • Lai, Haiping
  • Gu, Baihe
  • Zeng, Yuan
  • Li, Hui

Abstract

The carbon dioxide generated by building sector accounts for approximately 30% of the total CO2 emissions in China. The building sector plays a significant role in Chinese low-carbon development. This study develops the CAS bottom-up model system to predict the future trend of carbon emissions in China's building sector. Firstly, we sets three scenarios: business as usual (BAU), policy scenario, and synergistic emission reduction (SER) scenario, which consider the influence of low-carbon building policies and emission factors (i.e. power and heat emission factor (PEF and HEF)). Then we develop an emission reduction potential model to assess the CO2 abatement potential of the building sector in 2016–2050. The results reveal that low-carbon policies of building sector in policy scenario can only slow down but not curb the CO2 emission completely. The CO2 emissions will reach its peak before 2030 in the SER scenario, taking into account the impact of PEF and HEF. The analysis demonstrates that the synergistic reduction effect of inter-department will be better than that of one sector. Furthermore, green buildings, renewable energy building and energy conservation policies for district heating have a great influence on emission abatement in the building sector.

Suggested Citation

  • Tan, Xianchun & Lai, Haiping & Gu, Baihe & Zeng, Yuan & Li, Hui, 2018. "Carbon emission and abatement potential outlook in China's building sector through 2050," Energy Policy, Elsevier, vol. 118(C), pages 429-439.
  • Handle: RePEc:eee:enepol:v:118:y:2018:i:c:p:429-439
    DOI: 10.1016/j.enpol.2018.03.072
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518302131
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2018.03.072?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. Xiao, He & Wei, Qingpeng & Wang, Hailin, 2014. "Marginal abatement cost and carbon reduction potential outlook of key energy efficiency technologies in China׳s building sector to 2030," Energy Policy, Elsevier, vol. 69(C), pages 92-105.
    2. Zhou, Nan & Fridley, David & Khanna, Nina Zheng & Ke, Jing & McNeil, Michael & Levine, Mark, 2013. "China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model," Energy Policy, Elsevier, vol. 53(C), pages 51-62.
    3. Guo, Fei & Kurdgelashvili, Lado & Bengtsson, Magnus & Akenji, Lewis, 2016. "Analysis of achievable residential energy-saving potential and its implications for effective policy interventions: A study of Xiamen city in southern China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 507-520.
    4. Yuan, Rong & Behrens, Paul & Rodrigues, João F.D., 2018. "The evolution of inter-sectoral linkages in China's energy-related CO2 emissions from 1997 to 2012," Energy Economics, Elsevier, vol. 69(C), pages 404-417.
    5. Khanna, Nina Zheng & Zhou, Nan & Fridley, David & Fino-Chen, Cecilia, 2013. "Evaluation of China's local enforcement of energy efficiency standards and labeling programs for appliances and equipment," Energy Policy, Elsevier, vol. 63(C), pages 646-655.
    6. Liu, Zhu & Geng, Yong & Lindner, Soeren & Zhao, Hongyan & Fujita, Tsuyoshi & Guan, Dabo, 2012. "Embodied energy use in China's industrial sectors," Energy Policy, Elsevier, vol. 49(C), pages 751-758.
    7. McNeil, Michael A. & Feng, Wei & de la Rue du Can, Stephane & Khanna, Nina Zheng & Ke, Jing & Zhou, Nan, 2016. "Energy efficiency outlook in China’s urban buildings sector through 2030," Energy Policy, Elsevier, vol. 97(C), pages 532-539.
    8. Jiang, Jinhe, 2016. "China's urban residential carbon emission and energy efficiency policy," Energy, Elsevier, vol. 109(C), pages 866-875.
    9. 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.
    10. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    11. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    12. Alcántara, Vicent & Padilla, Emilio, 2009. "Input-output subsystems and pollution: An application to the service sector and CO2 emissions in Spain," Ecological Economics, Elsevier, vol. 68(3), pages 905-914, January.
    13. Yang, Tao & Pan, Yiqun & Yang, Yikun & Lin, Meishun & Qin, Bingyue & Xu, Peng & Huang, Zhizhong, 2017. "CO2 emissions in China's building sector through 2050: A scenario analysis based on a bottom-up model," Energy, Elsevier, vol. 128(C), pages 208-223.
    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. Zhang, Junjie & Yan, Zengfeng & Bi, Wenbei & Ni, Pingan & Lei, Fuming & Yao, Shanshan & Lang, Jiachen, 2023. "Prediction and scenario simulation of the carbon emissions of public buildings in the operation stage based on an energy audit in Xi'an, China," Energy Policy, Elsevier, vol. 173(C).
    2. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    3. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    4. Wei Zhou & Alice Moncaster & David M Reiner & Peter Guthrie, 2019. "Estimating Lifetimes and Stock Turnover Dynamics of Urban Residential Buildings in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    5. Linwei Pan & Minglei Zhu & Ningning Lang & Tengfei Huo, 2020. "What Is the Amount of China’s Building Floor Space from 1996 to 2014?," IJERPH, MDPI, vol. 17(16), pages 1-17, August.
    6. Minda Ma & Ran Yan & Weiguang Cai, 2017. "An extended STIRPAT model-based methodology for evaluating the driving forces affecting carbon emissions in existing public building sector: evidence from China in 2000–2015," 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. 89(2), pages 741-756, November.
    7. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    8. Gongyi Zhang & Chang Zhang & Hongguang Nie, 2021. "An Overview of China’s Energy Labeling Policy Portfolio: China’s Contribution to Addressing the Global Goal of Sustainable Development," SAGE Open, , vol. 11(1), pages 21582440209, January.
    9. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    10. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    11. Yanyan Ke & Lu Zhou & Minglei Zhu & Yan Yang & Rui Fan & Xianrui Ma, 2023. "Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    12. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    13. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    14. Huo, Tengfei & Ma, Yuling & Xu, Linbo & Feng, Wei & Cai, Weiguang, 2022. "Carbon emissions in China's urban residential building sector through 2060: A dynamic scenario simulation," Energy, Elsevier, vol. 254(PA).
    15. Zhaocheng Li & Yu Song, 2022. "Energy Consumption Linkages of the Chinese Construction Sector," Energies, MDPI, vol. 15(5), pages 1-13, February.
    16. Liu, Junling & Yin, Mingjian & Xia-Hou, Qinrui & Wang, Ke & Zou, Ji, 2021. "Comparison of sectoral low-carbon transition pathways in China under the nationally determined contribution and 2 °C targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    17. Minda Ma & Liyin Shen & Hong Ren & Weiguang Cai & Zhili Ma, 2017. "How to Measure Carbon Emission Reduction in China’s Public Building Sector: Retrospective Decomposition Analysis Based on STIRPAT Model in 2000–2015," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
    18. Yuan, Rong & Behrens, Paul & Rodrigues, João F.D., 2018. "The evolution of inter-sectoral linkages in China's energy-related CO2 emissions from 1997 to 2012," Energy Economics, Elsevier, vol. 69(C), pages 404-417.
    19. Sun, Shuyu & Tong, Kangkang, 2024. "Rural-urban inequality in energy use sufficiency and efficiency during a rapid urbanization period," Applied Energy, Elsevier, vol. 364(C).
    20. Junxiao Wei & Kuang Cen, 2019. "A preliminary calculation of cement carbon dioxide in China from 1949 to 2050," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1343-1362, December.

    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:eee:enepol:v:118:y:2018:i:c:p:429-439. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.