2021
DOI: 10.1007/s13762-021-03763-8
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Sustainable energy development under uncertainty based on the real options theory approach

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Cited by 7 publications
(6 citation statements)
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“…Carbon pricing is a prime example of a systemic policy that can simultaneously shift the choices of consumers, producers, investors, and innovators in all sectors to a low-carbon transformation (van den Bergh & Botzen, 2020). If policymakers can increase the CO2 prices in percentages for several years, and if investors are certain about this increase, it will encourage investment in sustainable energy sources (Azari Marhabi et al, 2021). Carbon taxes are another policy lever in jurisdictions that seek to accelerate decarbonization, climate change mitigation, and energy transition goals (Abdul-Salam, 2022).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Carbon pricing is a prime example of a systemic policy that can simultaneously shift the choices of consumers, producers, investors, and innovators in all sectors to a low-carbon transformation (van den Bergh & Botzen, 2020). If policymakers can increase the CO2 prices in percentages for several years, and if investors are certain about this increase, it will encourage investment in sustainable energy sources (Azari Marhabi et al, 2021). Carbon taxes are another policy lever in jurisdictions that seek to accelerate decarbonization, climate change mitigation, and energy transition goals (Abdul-Salam, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…For example, Assereto and Byrne (2021) considered the uncertainty in electricity prices to assess the economic feasibility and the timing of investment in utility-scale solar in Ireland. In another study, Azari Marhabi et al (2021) proposed a real options-based tool for policymakers to further manipulate the choice of investors in renewable resources to produce electricity under uncertainty in government policies. On the other hand, Zhang et al (2022) complicated these by combining real options with portfolio optimization to evaluate the optimal renewable energy investment portfolio strategy, investment value, and conditional value at risk under uncertain changes in electricity price, fuel price, carbon price, investment cost, and renewable energy certificate price.…”
Section: Introductionmentioning
confidence: 99%
“…However, their mathematical complexity does not allow for closed-form analytical solutions; simulation approaches must be used instead. GBMs with Poisson jumps have been used to model panel costs [98,114], electricity price [25,26,41], CO 2 price [23], and green certificates price [54].…”
Section: Jump Processes: Markov and Poisson Modelsmentioning
confidence: 99%
“…The ROA has already been applied in a variety of business and finance contexts such as Ewald and Taub [19], Huang et al [20], Ioulianou et al [21], and Yeo and Lee [22]. This model has also been applied to investment decisions in different sectors including energy [23][24][25], agriculture and forestry [26][27][28], transport [29,30], and other climate mitigation and adaptation technologies [16,[31][32][33]. In this paper, the ROA is applied to the decision to postpone or invest immediately in energy transition technologies considering the uncertainty in oil prices brought by the international conflicts.…”
Section: Real Options Backgroundmentioning
confidence: 99%