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基于实物期权的中国光伏发电项目投资评价
引用本文:张明明,周德群,周鹏.基于实物期权的中国光伏发电项目投资评价[J].北京理工大学学报(社会科学版),2014,16(6):26-33.
作者姓名:张明明  周德群  周鹏
作者单位:南京航空航天大学经济与管理学院能源软科学研究中心,南京211106;南京航空航天大学经济与管理学院能源软科学研究中心,南京211106;南京航空航天大学经济与管理学院能源软科学研究中心,南京211106
基金项目:国家自然科学基金资助项目(71273005,71203151,71373122);2010年度江苏省高校哲学社会科学重点研究基地重大项目资助(2010JDXM012);教育部博士点基金资助项目(20123218110028)
摘    要:针对中国光伏发电的实际,建立基于实物期权的光伏发电项目投资评价模型,考虑市场条件、技术条件以及上网电价政策的不确定性,应用最小二乘蒙特卡洛模拟方法求解。分析中国光伏发电项目的投资价值与最优投资时间,通过灵敏度分析,探讨市场变化与技术变化对投资价值与最优投资时间的影响。研究表明:中国现在的光伏发电投资环境不足以吸引投资者的即刻投资;非可再生能源发电成本波动性的提高会增加光伏发电项目投资价值,但会推后项目的最优投资时间;技术变化漂移率的提升可提高光伏发电项目投资价值,而技术变化的波动率则降低光伏发电项目投资价值。因此,国家应该一方面提高电价补贴,增加研发投入;另一方面维护光伏发电市场条件和技术发展的稳定。

关 键 词:实物期权  最小二乘蒙特卡洛模拟  投资价值  最优投资时间
收稿时间:2014/6/15 0:00:00

Evaluation of Chinese Photovoltaic Power Generation Projects Investment Based on Real Option
ZHANG Mingming,ZHOU Dequn and ZHOU Peng.Evaluation of Chinese Photovoltaic Power Generation Projects Investment Based on Real Option[J].Journal of Beijing Institute of Technology(Social Sciences Edition),2014,16(6):26-33.
Authors:ZHANG Mingming  ZHOU Dequn and ZHOU Peng
Institution:1.Research Centre for Soft Energy Science, College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Abstract:According to the basic situation of photovoltaic power generation in our country, this paper establishes an investment evaluation model of the photovoltaic power generation projects. The uncertainties of non-renewable cost, investment cost, and price policy of solar PV power generation were all considered in this model. Then the model is solved by Least Squares Monte Carlo simulation method. Using this model, this paper analyzes the investment value, delay option value, and the optimal investment time of China's photovoltaic power generation project at present situation. This paper also examines the effect of market variables, technology progress, and policy on these two indicators. The results show the current investment environment is not positive enough to attract investment immediately. The rising of non-renewable energy power generation cost volatility will increase investment value of solar photovoltaic power generation project, but the optimal investment time would be postponed. The rising of technological change drift rate will increase investment value of solar photovoltaic power generation project, and rising of technological change volatility will reduce investment value of solar photovoltaic power generation project. Therefore, the Chinese government should increase subsidy and R&D input as well as maintain the stability of market condition and technology progress to stimulate investment and promote the development of the solar PV power generation in China.
Keywords:real option  least squares Monte Carlo simulation  the value of the investment  the optimal investment time
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