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A game-theoretic approach for examining government support strategies and licensing contracts in an electricity supply chain with technology spillover: A case study of Iran

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  • Jamali, Mohammad-Bagher
  • Rasti-Barzoki, Morteza

Abstract

Technology spillover is evident in the renewable energy sector due to the significant development of technology. However, the lack of proper laws and regulations is an obstacle for technology-leader renewable energy suppliers to promote technological innovation. Therefore, some suppliers are interested in free-riding behavior instead of investing in their technologies. Consequently, we investigate the role of government support strategies and licensing contracts in promoting technological innovations under market failure by applying a game-theoretic approach. We consider government supports under two strategies: fixed-in-tariff (FIT) and grid's subsidy (GS); and cooperation between the rival renewable energy suppliers under two licensing contracts: royalty licensing (RL) and joint venture (JV). The two competitor renewable energy suppliers, the grid company, and the government are considered as players. One of these suppliers is a technology leader, and the other is a technology follower. The decision variables are the wholesale electricity price, level of electricity reliability, the quantity of electricity, and the subsidy amount. Based on the results of the case study, the government strategies provide more development of technology than the cooperation strategy between the two suppliers. The lowest and the highest pricing of electricity occur in the GS and RL scenarios, respectively.

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  • Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza, 2022. "A game-theoretic approach for examining government support strategies and licensing contracts in an electricity supply chain with technology spillover: A case study of Iran," Energy, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:energy:v:242:y:2022:i:c:s0360544221031686
    DOI: 10.1016/j.energy.2021.122919
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    3. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza & Altmann, Jörn, 2023. "An evolutionary game-theoretic approach for investigating the long-term behavior of the industry sector for purchasing renewable and non-renewable energy: A case study of Iran," Energy, Elsevier, vol. 285(C).
    4. Sun, Bo & Li, Mingzhe & Wang, Fan & Xie, Jingdong, 2023. "An incentive mechanism to promote residential renewable energy consumption in China's electricity retail market: A two-level Stackelberg game approach," Energy, Elsevier, vol. 269(C).
    5. Amiri-Pebdani, Sima & Alinaghian, Mahdi & Safarzadeh, Soroush, 2022. "Time-Of-Use pricing in an energy sustainable supply chain with government interventions: A game theory approach," Energy, Elsevier, vol. 255(C).
    6. Amiri-Pebdani, Sima & Alinaghian, Mahdi & Khosroshahi, Hossein, 2023. "A game theoretic approach for time-of-use pricing with considering renewable portfolio standard effects and investment in energy storage technologies under government interventions," Energy, Elsevier, vol. 282(C).
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