可再生能源的项目融资还是企业融资? 基于代理的见解

IF 0.8 4区 经济学 Q3 ECONOMICS
Thomas Baldauf, Patrick Jochem
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引用次数: 0

摘要

最先进的基于代理的宏观经济模型(ABMs)在能源领域的细节程度越来越高。然而,可再生能源可能的融资机制却很少得到考虑。本研究构想了一个发电厂投资模型,其中能源投资者在一个不完善的分散市场网络中就信贷、存款和项目股权进行互动。代理人通过项目融资(PF)结构中的特殊目的载体或标准企业融资(CF)参与新电厂投资。该模型考虑到技术差异和与电力市场相关的投资风险,描述了新发电能力的增长情况。通过对比不同的情景,研究 PF 投资对转型的影响。此外,还讨论了简单的绿色信贷宽松(GCE)机制的有效性。结果表明,改变 PF 和 CF 策略的构成会显著影响过渡速度。即使在 PF 大幅减少的情况下,GCE 也能恢复过渡速度。该模型为在更大的基于代理的综合评估模型中进行更深入的政策分析提供了一个基础框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Project finance or corporate finance for renewable energy? an agent-based insight

Project finance or corporate finance for renewable energy? an agent-based insight

State-of-the-art macroeconomic agent-based models (ABMs) include an increasing level of detail in the energy sector. However, the possible financing mechanisms of renewable energy are rarely considered. In this study, an investment model for power plants is conceptualized, in which energy investors interact in an imperfect and decentralized market network for credits, deposits and project equity. Agents engage in new power plant investments either through a special purpose vehicle in a project finance (PF) structure or via standard corporate finance (CF). The model portrays the growth of new power generation capacity, taking into account technological differences and investment risks associated with the power market. Different scenarios are contrasted to investigate the influence of PF investments on the transition. Further, the effectiveness of a simple green credit easing (GCE) mechanism is discussed. The results show that varying the composition of the PF and CF strategies significantly influences the transition speed. GCE can recover the pace of the transition, even under drastic reductions in PF. The model serves as a foundational framework for more in-depth policy analysis within larger agent-based integrated assessment models.

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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
33
期刊介绍: Journal of Economic Interaction and Coordination addresses the vibrant and interdisciplinary field of agent-based approaches to economics and social sciences. It focuses on simulating and synthesizing emergent phenomena and collective behavior in order to understand economic and social systems. Relevant topics include, but are not limited to, the following: markets as complex adaptive systems, multi-agents in economics, artificial markets with heterogeneous agents, financial markets with heterogeneous agents, theory and simulation of agent-based models, adaptive agents with artificial intelligence, interacting particle systems in economics, social and complex networks, econophysics, non-linear economic dynamics, evolutionary games, market mechanisms in distributed computing systems, experimental economics, collective decisions. Contributions are mostly from economics, physics, computer science and related fields and are typically based on sound theoretical models and supported by experimental validation. Survey papers are also welcome. Journal of Economic Interaction and Coordination is the official journal of the Association of Economic Science with Heterogeneous Interacting Agents. Officially cited as: J Econ Interact Coord
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