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

Nyein Aye, Takao Fujuwara
{"title":"Option-Games and Bayesian MCMC Analyses on R&D Investment in Eco-System of New Energy Industry in Myanmar","authors":"Nyein Aye, Takao Fujuwara","doi":"10.23919/PICMET.2019.8893777","DOIUrl":null,"url":null,"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.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/PICMET.2019.8893777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Using Patent Analysis to Anticipate Technology Trends: A Case of Coffee Processing Technology in Thailand The Effects of Business Environments on Innovation Activity and Firm Performance: Based on Workplace Panel Survey of South Korea Measurement and Comparison of Patent Quality on Typical Emerging Industries in China Patient Empowerment via Mobile Personal Health Records and Mobile Health Applications: A Review of the Current Use An Intelligent Risk Management Model for Achieving Smart Manufacturing on Internet of Things
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1