IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v69y2014icp92-105.html
   My bibliography  Save this article

Marginal abatement cost and carbon reduction potential outlook of key energy efficiency technologies in China׳s building sector to 2030

Author

Listed:
  • Xiao, He
  • Wei, Qingpeng
  • Wang, Hailin

Abstract

China achieved an energy savings of 67.5Mtce in the building sector at the end of the 11th Five-Year Plan and set a new target of 116Mtce by the end of the 12th Five-Year Plan. In this paper, an improved bottom-up model is developed to assess the carbon abatement potential and marginal abatement cost (MAC) of 34 selected energy-saving technologies/measures for China׳s building sector. The total reduction potential is 499.8 million t-CO2 by 2030. 4.8Gt-CO2 potential will be achieved cumulatively to 2030. By 2030, total primary energy consumption of Chinese building sector will rise continuously to 1343Mtce in the reference scenario and 1114Mtce in the carbon reduction scenario. Total carbon dioxide emission will rise to 2.39Gt-CO2 and 1.9Gt-CO2 in two scenarios separately. The average carbon abatement cost of the aforementioned technologies is 19.5$/t-CO2. The analysis reveals that strengthening successfully energy-saving technologies is important, especially for the residential building sector. The central government׳s direct investments in such technologies should be reduced without imposing significant negative effects.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:69:y:2014:i:c:p:92-105
    DOI: 10.1016/j.enpol.2014.02.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421514001104
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2014.02.021?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. Brown, Marilyn A., 2001. "Market failures and barriers as a basis for clean energy policies," Energy Policy, Elsevier, vol. 29(14), pages 1197-1207, November.
    2. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    3. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy paradox and the diffusion of conservation technology," Resource and Energy Economics, Elsevier, vol. 16(2), pages 91-122, May.
    4. Mortimer, N D & Ashley, A & Moody, C A C & Rix, J H R & Moss, S A, 1998. "Carbon dioxide savings in the commercial building sector," Energy Policy, Elsevier, vol. 26(8), pages 615-624, July.
    5. Henry Ruderman & Mark D. Levine & James E. McMahon, 1987. "The Behavior of the Market for Energy Efficiency in Residential Appliances Including Heating and Cooling Equipment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 101-124.
    6. DeCanio, Stephen J., 1993. "Barriers within firms to energy-efficient investments," Energy Policy, Elsevier, vol. 21(9), pages 906-914, September.
    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. Jeong, Kwangbok & Hong, Taehoon & Kim, Jimin & Cho, Kyuman, 2019. "Development of a multi-objective optimization model for determining the optimal CO2 emissions reduction strategies for a multi-family housing complex," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 118-131.
    2. Verma, Aman & Olateju, Babatunde & Kumar, Amit, 2015. "Greenhouse gas abatement costs of hydrogen production from underground coal gasification," Energy, Elsevier, vol. 85(C), pages 556-568.
    3. He, Weijun & Yang, Yi & Wang, Zhaohua & Zhu, Joe, 2018. "Estimation and allocation of cost savings from collaborative CO2 abatement in China," Energy Economics, Elsevier, vol. 72(C), pages 62-74.
    4. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    5. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    6. Song, Yan & Sun, Junjie & Zhang, Ming & Su, Bin, 2020. "Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 120-129.
    7. Xu, Lei & Chen, Nengcheng & Chen, Zeqiang, 2017. "Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?," Applied Energy, Elsevier, vol. 203(C), pages 874-882.
    8. Song, Xiangnan & Lu, Yujie & Shen, Liyin & Shi, Xunpeng, 2018. "Will China's building sector participate in emission trading system? Insights from modelling an owner's optimal carbon reduction strategies," Energy Policy, Elsevier, vol. 118(C), pages 232-244.
    9. 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.
    10. Gao, Shuai & Smits, Mattijs & Mol, Arthur P.J. & Wang, Can, 2016. "New market mechanism and its implication for carbon reduction in China," Energy Policy, Elsevier, vol. 98(C), pages 221-231.
    11. Wang, Jie & Xiong, Yiling & Tian, Xin & Liu, Shangwei & Li, Jiashuo & Tanikawa, Hiroki, 2018. "Stagnating CO2 emissions with in-depth socioeconomic transition in Beijing," Applied Energy, Elsevier, vol. 228(C), pages 1714-1725.
    12. Zhang, Weishi & Xu, Ying & Wang, Can & Streets, David G., 2022. "Assessment of the driving factors of CO2 mitigation costs of household biogas systems in China: A LMDI decomposition with cost analysis model," Renewable Energy, Elsevier, vol. 181(C), pages 978-989.
    13. Subramanyam, Veena & Kumar, Amit & Talaei, Alireza & Mondal, Md. Alam Hossain, 2017. "Energy efficiency improvement opportunities and associated greenhouse gas abatement costs for the residential sector," Energy, Elsevier, vol. 118(C), pages 795-807.
    14. Fang, Kai & Li, Chenglin & Tang, Yiqi & He, Jianjian & Song, Junnian, 2022. "China’s pathways to peak carbon emissions: New insights from various industrial sectors," Applied Energy, Elsevier, vol. 306(PA).
    15. 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.
    16. Wang, Wen, 2015. "Intégrer l'agriculture dans les politiques d'atténuation chinoises," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/14999 edited by Perthuis, Christian de.
    17. Roh, Seungjun & Tae, Sungho, 2017. "An integrated assessment system for managing life cycle CO2 emissions of a building," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 265-275.
    18. 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.
    19. 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).
    20. 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.
    21. 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.
    22. Yingli Lou & Liyin Shen & Zhenhua Huang & Ya Wu & Heng Li & Guijun Li, 2018. "Does the Effort Meet the Challenge in Promoting Low-Carbon City?—A Perspective of Global Practice," IJERPH, MDPI, vol. 15(7), pages 1-21, June.
    23. Qingwei Shi & Hong Ren & Weiguang Cai & Jingxin Gao, 2020. "How to Set the Proper CO 2 Reduction Targets for the Provincial Building Sector of China?," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    24. Izabela Jonek-Kowalska, 2019. "Long-term Analysis of the Effects of Production Management in Coal Mining in Poland," Energies, MDPI, vol. 12(16), pages 1-13, August.

    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. Häckel, Björn & Pfosser, Stefan & Tränkler, Timm, 2017. "Explaining the energy efficiency gap - Expected Utility Theory versus Cumulative Prospect Theory," Energy Policy, Elsevier, vol. 111(C), pages 414-426.
    2. Anderson, Soren T. & Newell, Richard G., 2004. "Information programs for technology adoption: the case of energy-efficiency audits," Resource and Energy Economics, Elsevier, vol. 26(1), pages 27-50, March.
    3. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    4. Stavins, Robert & Jaffe, Adam & Newell, Richard, 2000. "Technological Change and the Environment," Working Paper Series rwp00-002, Harvard University, John F. Kennedy School of Government.
    5. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    6. Barbara Praetorius, 1996. "Nachfrageseitiges Marktversagen auf dem Energiemarkt: Empirische Evidenz, theoretische Aspekte, politische Folgerungen," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 65(2), pages 143-155.
    7. Richard B. Howarth & Alan H. Sanstad, 1995. "Discount Rates And Energy Efficiency," Contemporary Economic Policy, Western Economic Association International, vol. 13(3), pages 101-109, July.
    8. Li, Jia & Just, Richard E., 2018. "Modeling household energy consumption and adoption of energy efficient technology," Energy Economics, Elsevier, vol. 72(C), pages 404-415.
    9. Adam Jaffe & Richard Newell & Robert Stavins, 2002. "Environmental Policy and Technological Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 41-70, June.
    10. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2003. "Chapter 11 Technological change and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 11, pages 461-516, Elsevier.
    11. Koomey, Jonathan G. & Webber, Carrie A. & Atkinson, Celina S. & Nicholls, Andrew, 2001. "Addressing energy-related challenges for the US buildings sector: results from the clean energy futures study," Energy Policy, Elsevier, vol. 29(14), pages 1209-1221, November.
    12. Min, Jihoon & Azevedo, Inês L. & Michalek, Jeremy & de Bruin, Wändi Bruine, 2014. "Labeling energy cost on light bulbs lowers implicit discount rates," Ecological Economics, Elsevier, vol. 97(C), pages 42-50.
    13. Brown, Marilyn A., 2001. "Market failures and barriers as a basis for clean energy policies," Energy Policy, Elsevier, vol. 29(14), pages 1197-1207, November.
    14. Qiu, Yueming & Colson, Gregory & Wetzstein, Michael E., 2017. "Risk preference and adverse selection for participation in time-of-use electricity pricing programs," Resource and Energy Economics, Elsevier, vol. 47(C), pages 126-142.
    15. Rockstuhl, Sebastian & Wenninger, Simon & Wiethe, Christian & Häckel, Björn, 2021. "Understanding the risk perception of energy efficiency investments: Investment perspective vs. energy bill perspective," Energy Policy, Elsevier, vol. 159(C).
    16. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    17. Theofano Fotiou & Pantelis Capros & Panagiotis Fragkos, 2022. "Policy Modelling for Ambitious Energy Efficiency Investment in the EU Residential Buildings," Energies, MDPI, vol. 15(6), pages 1-29, March.
    18. Peterman, Andrew & Kourula, Arno & Levitt, Raymond, 2012. "A roadmap for navigating voluntary and mandated programs for building energy efficiency," Energy Policy, Elsevier, vol. 43(C), pages 415-426.
    19. Bento, Antonio M. & Li, Shanjun & Roth, Kevin, 2012. "Is there an energy paradox in fuel economy? A note on the role of consumer heterogeneity and sorting bias," Economics Letters, Elsevier, vol. 115(1), pages 44-48.
    20. Jiaxing Wang & Makoto Sugino & Shigeru Matsumoto, 2019. "Determinants of household energy efficiency investment: analysis of refrigerator purchasing behavior," International Journal of Economic Policy Studies, Springer, vol. 13(2), pages 389-402, August.

    More about this item

    Keywords

    CO2 abatement cost; Building sector; China;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    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:69:y:2014:i:c:p:92-105. 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.