Option-Games and Bayesian MCMC Analyses on R&D Investment in Eco-System of New Energy Industry in Myanmar

Nyein Aye, Takao Fujuwara
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Abstract

Myanmar is rich in power sources. But with low levels of electrification, demand for power is not adequately met. And it needs advanced technology and more investment in power generation and distribution. Efficient and effective management of energy resources and innovative technology for producing it is inevitable and has become very crucial to solve climate change and meet the increased energy demand in 21st century. Option-games theory and Bayesian MCMC Analysis will be utilized to analyze the optimal investment strategies for high-risky energy industry and find the possibility of raising the firm's revenue in order to endure and overcome the ‘Valley of Death’ in period of negative profit. In more detail, this research will help us in examining a situation of option-games for the assessment of optimizing the firms' equity between flexibility and commitment. And Bayesian MCMC Analysis will be applied to the parameters estimation between the firm's revenue and investment cost in Eco-system for the sustainability of new energy industry. After focusing on the Japan's Electric Power Business and cooperation between Japan and Myanmar, we would like to search the potential of innovative and initiative new technological energy industry for the regional development and ecological sustainability in Myanmar.
缅甸新能源产业生态系统研发投资的选择博弈与贝叶斯MCMC分析
缅甸拥有丰富的电力资源。但由于电气化水平较低,对电力的需求没有得到充分满足。在发电和配电方面需要先进的技术和更多的投资。高效和有效的能源管理和创新的能源生产技术是不可避免的,并且对于解决气候变化和满足21世纪日益增长的能源需求至关重要。利用期权博弈理论和贝叶斯MCMC分析,分析高风险能源行业的最优投资策略,寻找提高企业收入以度过和克服负利润时期“死亡之谷”的可能性。更详细地说,这一研究将有助于我们考察一种选择博弈的情况,以评估在灵活性和承诺之间优化企业公平。并将贝叶斯MCMC分析应用于新能源产业可持续发展生态系统中企业收益与投资成本之间的参数估计。在关注日本电力业务和日本与缅甸的合作之后,我们希望为缅甸的区域发展和生态可持续性寻找创新和主动的新技术能源产业的潜力。
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