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Evaluating coal bed methane investment in China based on a real options model

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  • Fan, Ying
  • Mo, Jian-Lei
  • Zhu, Lei

Abstract

In this paper, a real options based binominal lattices model for the investment of coal bed methane (CBM) is conducted. CBM prices and market demand are incorporated into the model as the predominant uncertain factors and it is solved by using the bidimensional binominal lattices approach. Then the model is employed to evaluate the investment in CBM projects in China, and the effect of related policies is analyzed. The empirical results demonstrate that the model can be used to offer a better explanation of why the CBM industry has developed slowly in China from an investment perspective. It is found that the current policy environment is not positive enough to attract investment in the CBM industry. Among various factors, CBM prices yield the most significant effect on stimulating investment in CBM development. Increasing the price subsidy is also an effective policy to stimulate investment and promote the development of the CBM industry in China.

Suggested Citation

  • Fan, Ying & Mo, Jian-Lei & Zhu, Lei, 2013. "Evaluating coal bed methane investment in China based on a real options model," Resources Policy, Elsevier, vol. 38(1), pages 50-59.
    • Handle: RePEc:eee:jrpoli:v:38:y:2013:i:1:p:50-59
    DOI: 10.1016/j.resourpol.2012.08.002
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    Cited by:

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    2. Yu, Shiwei & Li, Zhenxi & Wei, Yi-Ming & Liu, Lancui, 2019. "A real option model for geothermal heating investment decision making: Considering carbon trading and resource taxes," Energy, Elsevier, vol. 189(C).
    3. Yao, Xing & Fan, Ying & Zhu, Lei & Zhang, Xian, 2020. "Optimization of dynamic incentive for the deployment of carbon dioxide removal technology: A nonlinear dynamic approach combined with real options," Energy Economics, Elsevier, vol. 86(C).
    4. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    5. Rahimi, Esmaeil & Ghasemzadeh, Hasan, 2015. "A new algorithm to determine optimum cut-off grades considering technical, economical, environmental and social aspects," Resources Policy, Elsevier, vol. 46(P1), pages 51-63.
    6. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.
    7. Zhang, Mingming & Zhou, Dequn & Zhou, Peng, 2014. "A real option model for renewable energy policy evaluation with application to solar PV power generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 944-955.
    8. Fan, Lurong & Wang, Binyu & Song, Xiaoling, 2023. "An authority-enterprise equilibrium differentiated subsidy mechanism for promoting coalbed methane extraction in multiple coal seams," Energy, Elsevier, vol. 263(PA).
    9. Lei Zhu & Xing Yao & Xian Zhang, 2020. "Evaluation of cooperative mitigation: captured carbon dioxide for enhanced oil recovery," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1261-1285, October.

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