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.
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References
Agaton C, Guno C, Villanueva R, Villanueva R (2020) Economic analysis of waste-to-energy investment in the Philippines: a real options approach. Appl Energy 275:115265
Akinsipe O, Moya D, Kaparaju P (2020) Design and economic analysis of off-grid solar PV system in Jos–Nigeria. J Clean Prod 287(4):125055
Cardin M, Zhang S, Nuttall W (2017) Strategic real option and flexibility analysis for nuclear power plants considering uncertainty in electricity demand and public acceptance. Energy Econ 64:226–237
Chaianong A, Bangviwat A, Menke C, Breitschopf B, Eichhammer W (2020) Customer economics of residential PV–battery systems in Thailand. Renew Energy 146:297–308
Chen Z, Wang T (2022) Photovoltaic subsidy withdrawal: an evolutionary game analysis of the impact on Chinese stakeholders’ strategic choices. Sol Energy 241:302–314
Chen W, Zeng Y, Xu C (2019) Energy storage subsidy estimation for microgrid: a real option game-theoretic approach. Appl Energy 239:373–382
Cheng C, Wang Z, Liu M, Chen Q, Gbatu AP, Ren X (2017) Defer option valuation and optimal investment timing of solar photovoltaic projects under different electricity market systems and support schemes. Energy 127:594–610
Chen W, Wei P (2018) Socially optimal deployment strategy and incentive policy for solar photovoltaic community microgrid: A case of China. Energy Policy 116:86–94
China PV Industry Development Roadmap (2016) China photovoltaic industry association. http://www.chinapv.org.cn/index.html
China PV Industry Development Roadmap (2019) China photovoltaic industry association. http://www.chinapv.org.cn/index.html
D’Adamo I, Falcone P, Gastaldi M, Morone P (2020) The economic viability of photovoltaic systems in public buildings: evidence from Italy. Energy 207:118316
Das G (2021) Using real options to study the impact of capacity additions and investment expenditures in renewable energies in India. Energy Policy 148:111916
Das S, Hittinger E, Williams E (2020) Learning is not enough: diminishing marginal revenues and increasing abatement costs of wind and solar. Renew Energy 156:634–644
Dong C, Zhou R, Li J (2021) Rushing for subsidies: the impact of feed-in tariffs on solar photovoltaic capacity development in China. Appl Energy 281:116007
Gahrooei M, Zhang Y, Ashuri B, Augenbroe G (2016) Timing residential photovoltaic investments in the presence of demand uncertainties. Sustain Cities Soc 20:109–123
Hsieh T, Dye C, Ouyang L (2008) Determining optimal lot size for a two-warehouse system with deterioration and shortages using net present value. Eur J Oper Res 191(1):182–192
Kim K, Park H, Kim H (2017) Real options analysis for renewable energy investment decisions in developing countries. Renew Sustain Energy Rev 75:918–926
Knoke T, Gosling E, Paul C (2020) Use and misuse of the net present value in environmental studies. Ecol Econ 174:106664
Lin B, Luan R (2020) Do government subsidies promote efficiency in technological innovation of China’s photovoltaic enterprises? J Clean Prod 254:120108
Liu J, Peng X, Zhao J (2023) Analyzing the spatial association of household consumption carbon emission structure based on social network. J Comb Optim 45:79
Locatelli G, Mancini M, Lotti G (2020) A simple-to-implement real options method for the energy sector. Energy 197:117226
Luan R, Lin B (2022) Positive or negative? Study on the impact of government subsidy on the business performance of China’s solar photovoltaic industry. Renew Energy 189:1145–1153
Mundaca L, Samahita M (2020) What drives home solar PV uptake? Subsidies, peer effects and visibility in Sweden. Energy Res Soc Sci 60:101319
Myers S (1977) Determinants of corporate borrowing. J Financ Econ 5(2):147–175
Narita D, Requate T (2021) Price vs. quantity regulation of volatile energy supply and market entry of RES-E operators. Energy Econ 101:105425
National Development and Reform Commission (2019). https://xueqiu.com/6741242618/125942493
National Development and Reform Commission (2020). https://baijiahao.baidu.com/s?id=1663553797357853622&%20wfr=spider&for=pc
Penizzotto F, Pringles R, Olsina F (2019) Real options valuation of photovoltaic power investments in existing buildings. Renew Sustain Energy Rev 114:109308
Sapol S, Szajnfarber Z (2020) Revisiting flexibility in design: an analysis of the impact of implementation uncertainty on the value of real options. J Mech Des 142(12):1–14
Sayed E, Wilberforce T, Elsaid K, Rabaia M, Olabi A (2020) A critical review on environmental impacts of renewable energy systems and mitigation strategies: wind, hydro, biomass and geothermal. Sci Total Environ 766:144505
Setyawati D (2020) Analysis of perceptions towards the rooftop photovoltaic solar system policy in Indonesia. Energy Policy 144:111569
Shuai J, Cheng X, Ding L, Yang J, Leng Z (2019) How should government and users share the investment costs and benefits of a solar PV power generation project in China? Renew Sustain Energy Rev 104:86–94
Tian L, Shan H, Zhu N (2016) Analysis of the real options in nuclear investment under the dynamic influence of carbon market. Energy Procedia 104:299–304
Wang Y, He J, Chen W (2021) Distributed solar photovoltaic development potential and a roadmap at the city level in China. Renew Sustain Energy Rev 141:110772
Wesseh P, Lin B (2016) A real options valuation of Chinese wind energy technologies for power generation: Do benefits from the feed-in tariffs outweigh costs? J Clean Prod 112:1591–1599
Xiong Y, Yang X (2016) Government subsidies for the Chinese photovoltaic industry. Energy Policy 99:111–119
Xu T, Ma J (2021) Feed-in tariff or tax-rebate regulation? Dynamic decision model for the solar photovoltaic supply chain. Appl Math Model 89(2):1106–1123
Yang Z (2023) Research on the influencing factors of living energy consumption and carbon emissions based on spatiotemporal model. J Comb Optim 45:25
Yang X, He L, Xia Y, Chen Y (2019) Effect of government subsidies on renewable energy investments: the threshold effect. Energy Policy 132:156–166
Zhang M, Zhou D, Zhou P, Liu G (2016) Optimal feed-in tariff for solar photovoltaic power generation in china: a real options analysis. Energy Policy 97:181–192
Zhang M, Zhou D, Zhou P, Chen H (2017) Optimal design of subsidy to stimulate renewable energy investments: the case of China. Renew Sustain Energy Rev 71:873–883
Zhang M, Liu L, Wang Q, Zhou D (2020) Valuing investment decisions of renewable energy projects considering changing volatility. Energy Economics 92:104954
Zhu X, Liao B, Yang S (2021) An optimal incentive policy for residential prosumers in Chinese distributed photovoltaic market: a Stackelberg game approach. J Clean Prod 308:127325
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The authors are supported by the National Natural Science Foundation of China (No. 72201089) and the Introducing and Stabilizing Talent Project of Anhui Agriculture University (No. rc402202).
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Zhu, X., Liao, B. Optimal investment decision for photovoltaic projects in China: a real options method. J Comb Optim 46, 30 (2023). https://doi.org/10.1007/s10878-023-01096-5
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DOI: https://doi.org/10.1007/s10878-023-01096-5