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

Jamali, Mohammad-Bagher; Rasti−Barzoki, Morteza

doi:10.1016/j.energy.2021.122919

Cited by 22 publications

(5 citation statements)

References 47 publications

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“…Domestic research has primarily focused on the applicability of policies, initial allocation, auction pricing methods, and other aspects. At present, scholars have used methods such as the Bass diffusion model [8], the Learning Curve Theory [9], system dynamics [10,11], and game theory [12] to solve this problem. Reference [8] used the Bass model to predict the trend of wind power diffusion in coupled energy systems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The diffusion problem of distributed photovoltaic technology guided by electricity prices based on system dynamics modeling ideas was studied by [10]. In [12], the authors analyzed the impact of fixed electricity prices and grid subsidy policies on the development of renewable energy using the Stackelberg game method. In each of these studies, the authors generally focused on studying the impact of factors such as price, subsidy policy, and investment return on the development of renewable energy from a macro perspective, which rarely involves analyzing the complexity of complex game processes and development decisions within user groups from a micro perspective on the promotion and trading of renewable energy.…”

Section: Literature Reviewmentioning

confidence: 99%

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Research on Renewable Energy Trading Strategies Based on Evolutionary Game Theory

Huang,

Fan,

Shang

et al. 2024

Sustainability

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The authors construct a tripartite evolutionary game model that considers renewable energy, traditional coal-fired power plants, and market users. We propose multiple income matrices under different strategies, conduct evolutionary stability analysis, and form a series of assumptions that meet the stability of the game. We also simulate and analyze the impact of key factors—such as assessment costs, different pricing behaviors of coal-fired power plants, electricity prices of renewable energy, and green electricity demand—on the stability of the game. In addition, the market equilibrium points that can be achieved by optimizing trading strategies and their optimization status in promoting renewable energy consumption are analyzed. Based on the operational characteristics of the Guangxi electricity market in China and the trading situation of renewable energy, an evolutionary game method is applied to conduct empirical research. The trading behavior and evolution of all parties in the market are fully analyzed and are then applied to the construction and mechanism improvement of the electricity market.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Research on Renewable Energy Trading Strategies Based on Evolutionary Game Theory

Huang,

Fan,

Shang

et al. 2024

Sustainability

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“…The cross-licensing is another important pattern for firms to diffuse new technologies and attracts more and more attention. Technology cross-licensing means that patentees license each other to use their own technologies (Jeon and Lefouili, 2018;Belingheri et al, 2021). If the values of technologies are almost equal, the licensing fees are generally free.…”

Section: Cross-licensing Within Operations Managementmentioning

confidence: 99%

“…Due to the significant development of green technology, technology spillover is evident in the renewable energy sector, and, hence, some firms are interested in free‐riding behavior instead of investing in their technologies. According to this problem, Jamali and Rasti‐Barzoki (2022) applied a game‐theoretic approach to investigate the role of government support strategies and licensing contracts in promoting green technology innovations under market failure. Chen et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Operational research models for green technology cross‐licensing with known carbon quota trading prices

Zhang

Lin

et al. 2023

Int Trans Operational Res

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Green finance contributes significantly to the openness and transparency of carbon quota trading prices, which is conducive to the development of green technology innovation. With known carbon quota trading prices, we construct game‐based operational research models to analyze fixed‐fee and mixed‐fee cross‐licensing strategies for green technologies between two competing firms under the cap‐and‐trade policy. We compare the equilibrium outcomes of no‐licensing, fixed‐fee, and mixed‐fee cross‐licensing strategies. The findings reveal that product pricing under the fixed‐fee cross‐licensing strategy is beneficial to consumers. The mixed‐fee cross‐licensing strategy is optimal in terms of firms' total profits. When the degree of product substitutions is large and the improvement in carbon emissions is small, firms are more inclined to the no‐licensing strategy. We further introduce the revenue‐sharing contract, which can extend the Pareto improvement domain and improve the performance of green technology cross‐licensing strategies.

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“…The study revealed that firms with lower technology levels reduce their R&D investment when the level of technology spillover decreases, and network compatibility negatively affects R&D investment. Jamali and Rasti-Barzoki [14] conducted research using the Stackelberg game model and found that government intervention policies and licensing contracts influence the optimal decision making of electric power companies. Yong et al [15] explored the role of technology spillover in clean energy technology innovation and discovered that technology spillover inhibits firms from engaging in clean energy technology innovation.…”

Section: Research On Technology Spilloversmentioning

confidence: 99%

The Impact of R&D Subsidy and IPP on Global Supply Chain Networks System—A Technology Spillover Perspective

Zhu,

Zhou,

et al. 2023

Systems

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In the current globalized business environment, multinational competition has become the norm for companies. This paper considers technology spillovers among manufacturers and develops a global supply chain network equilibrium model. Firstly, the optimal decision-making behaviors of manufacturers, retailers, and demand markets are characterized separately. Secondly, based on the variational inequality theory, the optimal decision-making behaviors of global supply chain members are transformed. Finally, the model is solved and analyzed using the Euler algorithm. The primary objective is to explore the impact of research and development (R&D) subsidies and intellectual property protection (IPP) strategies on manufacturers’ research and development technological levels. Furthermore, the study delves into their effects on the production and transactions of the global supply chain network and social welfare. The following conclusions are drawn: (1) Technology spillovers have a positive effect on the technological level achieved by manufacturers through research and development investment and social welfare. However, intense technological competition may harm manufacturers’ profits. (2) Under the symmetric subsidy policy, higher subsidies may lead to a decrease in social welfare. (3) Under symmetric intellectual property protection policies, increasing the intensity of intellectual property protection benefits manufacturers but is detrimental to retailers and social welfare. However, under an asymmetric intellectual property protection strategy, implementing high-intensity intellectual property protection by high-technology countries is advantageous for retailers and social welfare. This conclusion has contributed to the technical research and development and production operation decision making of global supply chain members, as well as government policy formulation, and has also provided a new perspective for theoretical research in the field of global supply networks.

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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

Cited by 22 publications

References 47 publications

Research on Renewable Energy Trading Strategies Based on Evolutionary Game Theory

Research on Renewable Energy Trading Strategies Based on Evolutionary Game Theory

Operational research models for green technology cross‐licensing with known carbon quota trading prices

The Impact of R&D Subsidy and IPP on Global Supply Chain Networks System—A Technology Spillover Perspective

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