Optimal investment decision for photovoltaic projects in China: a real options method

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xing Zhu, Baoyu Liao
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Abstract

In an uncertain environment, it is important to investigate whether to postpone, abandon or immediately invest in photovoltaic (PV) projects. This paper applies a real options model to explore the optimal investment decision for investors and the government’s optimal incentive strategy in China’s distributed PV market. The uncertainties of feed-in tariffs (FIT) and investment costs are included in this study as critical factors affecting the options value of PV projects. Multiple scenarios are designed from different dimensions, including various subsidy durations, different resource areas, and distinct regulatory policies. The results show that not only the current FIT and investment cost affect the investment choice, but also the potential change trend of FIT and investment cost affect the investor’s preference. The results also reveal that appropriate FIT regulation can effectively induce investors who abandon investment to choose to delay investment, and significantly shorten the delay time. These conclusions can provide valuable insights for investors to optimize investment decisions.

Abstract Image

中国光伏项目最优投资决策:一种实物期权方法
在不确定的环境下,研究光伏项目是推迟、放弃还是立即投资是很重要的。本文运用实物期权模型探讨了中国分布式光伏市场中投资者的最优投资决策和政府的最优激励策略。本文将上网电价(FIT)和投资成本的不确定性作为影响光伏项目期权价值的关键因素。从不同的维度设计了多个场景,包括不同的补贴期限、不同的资源领域和不同的监管政策。结果表明,不仅当前上网电价和投资成本影响投资者的投资选择,上网电价和投资成本的潜在变化趋势也影响投资者的投资偏好。研究结果还表明,适当的FIT监管可以有效地诱导放弃投资的投资者选择延迟投资,并显著缩短延迟时间。这些结论可以为投资者优化投资决策提供有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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