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The value of renewable energy research and development investments with default consideration

机译:缺省情况下可再生能源研发投资的价值

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As one of the largest energy-consumption nations, the South Korean government has recently invested in the deployment and commercialization of various renewable energy sources to reduce the environmental impacts of fossil fuel-based energy sources. Thus, in order to investigate the likelihood the government will default on the investment of research and development (R&D) in the renewable energy industry, this study utilizes a system-dynamics approach to develop a default-prediction model based on the Black-Scholes-Merton model, while investigating the interactions of uncertainty factors and the impacts of the probability of default (PD) on renewable energy production and carbon emission reduction amounts from 2017 to 2030. The results of this study indicate that R&D investments in marine energy (2.64%) has a high default risk, while the use of waste energy (46.95 B kg CO2) results in the largest reduction in the amount of carbon emissions. In addition, the results show that the PD of the R&D investment decreases when the uncertainty of the unit price, the R&D investment amount, and the renewable energy production amount have increased. Further, the results of a Monte Carlo simulation indicate that the PD of the R&D investment is not greatly affected by the risk-free interest rate. (C) 2019 Elsevier Ltd. All rights reserved.
机译:作为最大的能源消耗国之一,韩国政府最近投资于各种可再生能源的部署和商业化,以减少基于化石燃料的能源对环境的影响。因此,为了调查政府在可再生能源行业中拖欠研发投资的可能性,本研究利用系统动力学方法建立了基于Black-Scholes- Merton模型在调查不确定性因素以及违约概率(PD)对2017年至2030年可再生能源生产和碳减排量的影响之间的相互作用时。本研究结果表明,海洋能源的研发投资(2.64% )具有很高的违约风险,而浪费能源(46.95 B千克二氧化碳)的使用最大程度地减少了碳排放量。此外,结果表明,当单价,R&D投资额和可再生能源生产量的不确定性增加时,R&D投资的PD会降低。此外,蒙特卡洛模拟的结果表明,R&D投资的PD不受无风险利率的影响很大。 (C)2019 Elsevier Ltd.保留所有权利。

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