IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v144y2020ics0301421520303670.html
   My bibliography  Save this article

Financing mode of energy performance contracting projects with carbon emissions reduction potential and carbon emissions ratings

Author

Listed:
  • Shang, Tiancheng
  • Yang, Lan
  • Liu, Peihong
  • Shang, Kaiti
  • Zhang, Yan

Abstract

This paper focuses on energy performance contracting (EPC) projects that can potentially reduce carbon emissions. Based on the reasons for financing difficulties in China's EPC projects, the paper delineates opportunities for the energy-saving service industry as well as the ownership of carbon emissions. According to the transaction cost and resource dependence theories, this paper constructs a financing mode for EPC projects based on the total amount of control and quota trading. Financing mode is divided into two types according to the carbon emissions objectives noted by emissions demanders: self-use and non-self-use. Each financing mode is then categorized as either pre- or post-transaction given the differences in carbon emissions trading periods, and their characteristics are compared. Regarding carbon emissions ratings, a parabolic fuzzy number is used to describe how carbon emissions trading prices fluctuate and how the risk-neutral probability and weighted interval of European call option prices are obtained. The option price interval is then converted into a certain value by defuzzification. The financing mode this paper designs not only improves the possibility of EPC projects' financing and profitability, but also expands energy service companies' scope in choosing projects. This paper's carbon emissions rating method enables participants' understanding of the magnitude of uncertainty, obtains more accurate market price forecasts, and helps investors choose their acceptable confidence levels to guide investment strategies.

Suggested Citation

  • Shang, Tiancheng & Yang, Lan & Liu, Peihong & Shang, Kaiti & Zhang, Yan, 2020. "Financing mode of energy performance contracting projects with carbon emissions reduction potential and carbon emissions ratings," Energy Policy, Elsevier, vol. 144(C).
  • Handle: RePEc:eee:enepol:v:144:y:2020:i:c:s0301421520303670
    DOI: 10.1016/j.enpol.2020.111632
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421520303670
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2020.111632?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. Sara Maestre-Andrés & Stefan Drews & Jeroen van den Bergh, 2020. "Perceived fairness and public acceptability of carbon pricing: a review of the literature," Climate Policy, Taylor & Francis Journals, vol. 19(9), pages 1186-1204, July.
    2. Shang, Tiancheng & Zhang, Kai & Liu, Peihong & Chen, Ziwei & Li, Xiangpeng & Wu, Xue, 2015. "What to allocate and how to allocate?—Benefit allocation in Shared Savings Energy Performance Contracting Projects," Energy, Elsevier, vol. 91(C), pages 60-71.
    3. Williamson, Oliver E., 2010. "Transaction Cost Economics: The Natural Progression," Journal of Retailing, Elsevier, vol. 86(3), pages 215-226.
    4. Borissov, Kirill & Brausmann, Alexandra & Bretschger, Lucas, 2019. "Carbon pricing, technology transition, and skill-based development," European Economic Review, Elsevier, vol. 118(C), pages 252-269.
    5. Vine, Edward, 2005. "An international survey of the energy service company (ESCO) industry," Energy Policy, Elsevier, vol. 33(5), pages 691-704, March.
    6. Erutku, Can, 2019. "Carbon pricing pass-through: Evidence from Ontario and Quebec's wholesale gasoline markets," Energy Policy, Elsevier, vol. 132(C), pages 106-112.
    7. Sun, Wei & Huang, Chenchen, 2020. "A novel carbon price prediction model combines the secondary decomposition algorithm and the long short-term memory network," Energy, Elsevier, vol. 207(C).
    8. Chang, Chia-Lin & Mai, Te-Ke & McAleer, Michael, 2019. "Establishing national carbon emission prices for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 1-16.
    9. Li, Yan & Qiu, Yueming & Wang, Yi David, 2014. "Explaining the contract terms of energy performance contracting in China: The importance of effective financing," Energy Economics, Elsevier, vol. 45(C), pages 401-411.
    10. Lin, Boqiang & Jia, Zhijie, 2019. "Impacts of carbon price level in carbon emission trading market," Applied Energy, Elsevier, vol. 239(C), pages 157-170.
    11. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    12. Frangou, Maria & Aryblia, Maria & Tournaki, Stavroula & Tsoutsos, Theocharis, 2018. "Renewable energy performance contracting in the tertiary sector Standardization to overcome barriers in Greece," Renewable Energy, Elsevier, vol. 125(C), pages 829-839.
    13. Xu, Weidong & Wu, Chongfeng & Xu, Weijun & Li, Hongyi, 2009. "A jump-diffusion model for option pricing under fuzzy environments," Insurance: Mathematics and Economics, Elsevier, vol. 44(3), pages 337-344, June.
    14. Brian Boyd, 1990. "Corporate linkages and organizational environment: A test of the resource dependence model," Strategic Management Journal, Wiley Blackwell, vol. 11(6), pages 419-430, October.
    15. Akman, Ugur & Okay, Esin & Okay, Nesrin, 2013. "Current snapshot of the Turkish ESCO market," Energy Policy, Elsevier, vol. 60(C), pages 106-115.
    16. Qin, Quande & Liang, Fuqi & Li, Li & Wei, Yi-Ming, 2017. "Selection of energy performance contracting business models: A behavioral decision-making approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 422-433.
    17. Wang, Zhenfeng & Xu, Guangyin & Lin, Ruojue & Wang, Heng & Ren, Jingzheng, 2019. "Energy performance contracting, risk factors, and policy implications: Identification and analysis of risks based on the best-worst network method," Energy, Elsevier, vol. 170(C), pages 1-13.
    18. Zhang, Mingshun & Wang, Mujie & Jin, Wei & Xia-Bauer, Chun, 2018. "Managing energy efficiency of buildings in China: A survey of energy performance contracting (EPC) in building sector," Energy Policy, Elsevier, vol. 114(C), pages 13-21.
    19. Hongquan Ruan & Xin Gao & Chaoxuan Mao, 2018. "Empirical Study on Annual Energy-Saving Performance of Energy Performance Contracting in China," Sustainability, MDPI, vol. 10(5), pages 1-25, May.
    20. Goldman, Charles A. & Hopper, Nicole C. & Osborn, Julie G., 2005. "Review of US ESCO industry market trends: an empirical analysis of project data," Energy Policy, Elsevier, vol. 33(3), pages 387-405, February.
    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. Min Wang & Huayu Li & Yung-ho Chiu & Kexin Deng & Menghua Deng, 2023. "Research on the Carbon Emission Reduction Potential of the Ports in the Yangtze River Delta of China," SAGE Open, , vol. 13(4), pages 21582440231, November.
    2. Mustafa S. Al-Tekreeti & Salwa M. Beheiry & Vian Ahmed, 2021. "A Framework for Assessing Commitment Indicators in Sustainable Development Decisions," Sustainability, MDPI, vol. 13(9), pages 1-21, May.
    3. Monika Górska & Marta Daroń, 2021. "Importance of Machine Modernization in Energy Efficiency Management of Manufacturing Companies," Energies, MDPI, vol. 14(24), pages 1-19, December.
    4. Wang, Bangyan & Wang, Xiuli & Wei, Fengting & Shao, Chengcheng & Zhou, Jiahao & Lin, Jintian, 2023. "Multi-stage stochastic planning for a long-term low-carbon transition of island power system considering carbon price uncertainty and offshore wind power," Energy, Elsevier, vol. 282(C).

    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. Wenjie Zhang & Hongping Yuan, 2019. "A Bibliometric Analysis of Energy Performance Contracting Research from 2008 to 2018," Sustainability, MDPI, vol. 11(13), pages 1-23, June.
    2. Wenjie Zhang & Hongping Yuan, 2019. "Promoting Energy Performance Contracting for Achieving Urban Sustainability: What is the Research Trend?," Energies, MDPI, vol. 12(8), pages 1-18, April.
    3. Zhou, Yuanrong & Evans, Meredydd & Yu, Sha & Sun, Xiaoliang & Wang, Juemin, 2020. "Linkages between policy and business innovation in the development of China's energy performance contracting market," Energy Policy, Elsevier, vol. 140(C).
    4. Qin, Quande & Liang, Fuqi & Li, Li & Wei, Yi-Ming, 2017. "Selection of energy performance contracting business models: A behavioral decision-making approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 422-433.
    5. Töppel, Jannick & Tränkler, Timm, 2019. "Modeling energy efficiency insurances and energy performance contracts for a quantitative comparison of risk mitigation potential," Energy Economics, Elsevier, vol. 80(C), pages 842-859.
    6. Cagno, Enrico & Franzò, Simone & Storoni, Elena & Trianni, Andrea, 2022. "A characterisation framework of energy services offered by energy service companies," Applied Energy, Elsevier, vol. 324(C).
    7. Feng, Zongbao & Wu, Xianguo & Chen, Hongyu & Qin, Yawei & Zhang, Limao & Skibniewski, Miroslaw J., 2022. "An energy performance contracting parameter optimization method based on the response surface method: A case study of a metro in China," Energy, Elsevier, vol. 248(C).
    8. Pei-Chien Lin & Ming-Feng Hung, 2016. "The Effect of Energy Service Companies on Energy Use in Selected Developing Countries: A Synthetic Control Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 6(2), pages 335-348.
    9. Wang, Zhenfeng & Xu, Guangyin & Lin, Ruojue & Wang, Heng & Ren, Jingzheng, 2019. "Energy performance contracting, risk factors, and policy implications: Identification and analysis of risks based on the best-worst network method," Energy, Elsevier, vol. 170(C), pages 1-13.
    10. Xu, Song & Fang, Lei & Govindan, Kannan, 2022. "Energy performance contracting in a supply chain with financially asymmetric manufacturers under carbon tax regulation for climate change mitigation," Omega, Elsevier, vol. 106(C).
    11. Klinke, Sandra, 2018. "The determinants for adoption of energy supply contracting: Empirical evidence from the Swiss market," Energy Policy, Elsevier, vol. 118(C), pages 221-231.
    12. Lu, Shilei & Feng, Wei & Kong, Xiangfei & Wu, Yong, 2014. "Analysis and case studies of residential heat metering and energy-efficiency retrofits in China′s northern heating region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 765-774.
    13. Daniel Wacinkiewicz & Szymon Słotwiński, 2023. "The Statutory Model of Energy Performance Contracting as a Means of Improving Energy Efficiency in Public Sector Units as Seen in the Example of Polish Legal Policies," Energies, MDPI, vol. 16(13), pages 1-15, June.
    14. Shang, Tiancheng & Liu, Peihong & Guo, Junxiong, 2020. "How to allocate energy-saving benefit for guaranteed savings EPC projects? A case of China," Energy, Elsevier, vol. 191(C).
    15. Lu, Zhijian & Shao, Shuai, 2016. "Impacts of government subsidies on pricing and performance level choice in Energy Performance Contracting: A two-step optimal decision model," Applied Energy, Elsevier, vol. 184(C), pages 1176-1183.
    16. Gabriel Villa & Sebastián Lozano & Sandra Redondo, 2021. "Data Envelopment Analysis Approach to Energy-Saving Projects Selection in an Energy Service Company," Mathematics, MDPI, vol. 9(2), pages 1-15, January.
    17. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    18. Fang, Wen Shwo & Miller, Stephen M. & Yeh, Chih-Chuan, 2012. "The effect of ESCOs on energy use," Energy Policy, Elsevier, vol. 51(C), pages 558-568.
    19. Shang, Tiancheng & Zhang, Kai & Liu, Peihong & Chen, Ziwei & Li, Xiangpeng & Wu, Xue, 2015. "What to allocate and how to allocate?—Benefit allocation in Shared Savings Energy Performance Contracting Projects," Energy, Elsevier, vol. 91(C), pages 60-71.
    20. Deng, Qianli & Jiang, Xianglin & Cui, Qingbin & Zhang, Limao, 2015. "Strategic design of cost savings guarantee in energy performance contracting under uncertainty," Applied Energy, Elsevier, vol. 139(C), pages 68-80.

    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:144:y:2020:i:c:s0301421520303670. 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.