澳大利亚可再生能源目标(RET)通过批发和零售电价影响的分配效应

Johanna Cludius, S. Forrest, I. MacGill
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引用次数: 60

摘要

澳大利亚可再生能源目标(RET)在过去十年中刺激了对可再生能源发电的大量投资,特别是风能。本文考虑了可再生能源分配对不同能源用户的影响。通过时间序列回归,我们发现风能的增加通过所谓的优序效应对批发电价施加了相当大的下行压力。另一方面,RET成本以零售电价溢价的形式转嫁给消费者。我们的研究结果突出了当前RET安排下不同能源用户阶层之间可能存在的重大再分配转移。特别是,一些能源密集型工业从较低的批发电价中受益,同时在很大程度上免除了对该计划的成本贡献。相比之下,许多家庭正在支付大量的RET传递成本,而不一定从较低的批发价格中受益。通过审查工业豁免的范围和程度,并确保估计管制电价中批发价格组成部分的方法更密切地反映实际市场情况,可以实现更公平地分配可再生能源成本和利益。更广泛地说,这些发现支持了越来越多的国际认识,即政策制定者需要将分配评估纳入政策设计和实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributional Effects of the Australian Renewable Energy Target (RET) through Wholesale and Retail Electricity Price Impacts
The Australian Renewable Energy Target (RET) has spurred significant investment in renewable electricity generation, notably wind power, over the past decade. This paper considers distributional implications of the RET for different energy users. Using time-series regression, we show that the increasing amount of wind energy has placed considerable downward pressure on wholesale electricity prices through the so-called merit order effect. On the other hand, RET costs are passed on to consumers in the form of retail electricity price premiums. Our findings highlight likely significant redistributive transfers between different energy user classes under current RET arrangements. In particular, some energy-intensive industries are benefiting from lower wholesale electricity prices whilst being largely exempted from contributing to the costs of the scheme. By contrast, many households are paying significant RET pass through costs whilst not necessarily benefiting from lower wholesale prices. A more equitable distribution of RET costs and benefits could be achieved by reviewing the scope and extent of industry exemptions and ensuring that methodologies to estimate wholesale price components in regulated electricity tariffs reflect more closely actual market conditions. More generally, these findings support the growing international appreciation that policy makers need to integrate distributional assessments into policy design and implementation.
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