4.7 Article

Feed-in tariff or tax-rebate regulation? Dynamic decision model for the solar photovoltaic supply chain

Journal

APPLIED MATHEMATICAL MODELLING
Volume 89, Issue -, Pages 1106-1123

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2020.08.007

Keywords

Feed-in tariff; Tax-rebate; Renewable energy policy; Solar energy operations; Chaos control

Funding

  1. National Natural Science Foundation of China [71571131]

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This study examines the impact of feed-in tariffs and tax-rebate regulations on the solar photovoltaic supply chain. A novel supply chain structure is established, and a nonlinear dynamic system is used to study long-term operations strategy, equilibrium stability, and the effects of conservative and aggressive strategies. The findings suggest that chaos may have potential benefits for players with risk preference, while risk-averse players can utilize a controlling method to return the system to a stable state.
The feed-in tariff is a policy instrument designed to drop off the investment cost of solar energy, which has been thriving in Europe for many years. Similarly, tax-rebate regulation also aims to spur the diffusion of renewable technologies applied in America. However, it's not clear that which policy is better off from the perspective of the members in the whole solar photovoltaic supply chain. To figure out this question, this paper establishes a novel solar photovoltaic supply chain structure in practice, including the government, a utility grid, an exclusive solar panel retailer, and households, where the households not only con-sume electricity but also generate energy to the utility. We also investigate a nonlinear dynamic system to study the long-term operations strategy, the stability of the equilibrium, and how the conservative and aggressive strategies impact the system. Interestingly, our finding shows chaos is not just an unfavorable phenomenon for everyone for the players with risk preference, chaos might be a good ladder to achieve high returns. For those risk aversion players, we also provide a controlling method to control it back to a stable state. (C) 2020 Published by Elsevier Inc.

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