Abstract

In the past decades, the inappropriate subsidy policies in many nations have caused problems such as serious oversupply, fierce competition and subpar social welfare in the photovoltaic (PV) industry in many nations. There is a clear shortage in the PV industry literature regarding how dual supply chains compete and the key decision issues regarding the competition between dual PV supply chains. It is critical to develop effective subsidy policies for the competing PV supply chains to achieve social welfare maximization. This study has explored the dual PV supply chain competition under the Bertrand competition assumption by three game-theoretical modeling scenarios (or supply chain strategies) considering either the public subsidy or no subsidy from a social welfare maximization perspective. A numerical analysis complemented by two sensitivity analyses provides a better understanding of the pricing and quantity decision dynamics in the dual supply chains under three different supply chain strategies and the corresponding outcomes regarding the total supply chain profits, the social welfare and the required total subsidies. The key findings disclose that if there are public subsidies, the dual PV supply chains have the strongest intention to pursue the decentralized strategy to achieve their maximal returns rather than the centralized strategy that would achieve the maximal social welfare; however, the government would need to pay for the maximal subsidy budget. Thus, the best option for the government would be to encourage the dual PV supply chains to adopt a centralized strategy since this will not only maximize the social welfare but also, at the same time, minimize the public subsidy. With a smart subsidy policy, the PV industry can make the best use of the subsidy budget and grow in a sustainable way to support the highly demanded solar power generation in many countries trying very hard to increase the proportion of their clean energy to combat the global warming effect. Several subsidy policies such as shared solar energy arrangements and performance-based incentive (PBI) are proposed to integrate the market users and the PV supply chains. This study serves as a pioneering study into the dual PV supply chain research which is very limited in the PV management and policy study literature. The findings and several untended issues provide a foundation for the future PV supply chain studies.

Highlights

  • Given the abundance of sunshine across the globe, solar power has the potential to supply a significant amount of electricity that is both economically and environmentally attractive

  • If there is no public subsidy, the optimal strategy for the dual supply chains would be to pursue the centralized strategy to gain the most returns for the supply chain members and the supply chains comparing to the decentralized or the hybrid strategies

  • This study has explored the dual PV supply chain competition under the Bertrand competition assumption by three game-theoretical modeling scenarios considering either the public subsidy or no subsidy from a social welfare maximization perspective

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Summary

Introduction

Given the abundance of sunshine across the globe, solar power has the potential to supply a significant amount of electricity that is both economically and environmentally attractive. Due to the characteristics of sustainable development, environmental performance and public-welfare, the proper subsidy policy, the optimal operations mechanism and the competition strategies for the competing. Under the public subsidy policy, what would be the proper mechanism for the photovoltaic assembler (PA) and its C-Pi module supplier (MS) to follow when there are dual (i.e., two) PV supply chains competing with each other? Bargaining model for the dual competing PV supply chains to analyze the hybrid decision-making scenario in the supply chains.

Literature Review
Dual Competing PV Supply Chain Equilibrium and Cooperation under the Social
Decentralized Modeling Scenario
Centralized Modeling Scenario
Hybrid Modeling Scenario
Numerical and Sensitivity Analysis
Managerial and Policy Implications
No Subsidy
Subsidy
Findings
Conclusions
Full Text
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