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Effects of Attribute-Based Regulation on Technology Adoption - The Case of Feed-In Tariffs for Solar Photovoltaic

机译:基于属性的规制对技术采用的影响 - 以太阳能光伏发电的上网电价为例

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摘要

Feed-in tariffs are a widely used policy instrument to support deployment of renewable energy technologies. The aim of this paper is to estimate the causal effect of a cut in feed-in tariffs on solar photovoltaic (PV) installations. I isolate this effect by a differences-in-differences approach using data on all grid-connected PV systems within Germany from 2009 until 2013 on a county level. A policy change of administrative size classes in 2012 provides exogenous variation in feed-in tariffs. I find that a cut in feed-in tariffs of five percent leads to a decrease in newly installed capacity of around 46 kilowatt (kW) in a county per month. This is equivalent to approximately three percent of the average annual solar PV deployment on a national level from 2009 to 2011. The re-evaluation of size classes implies de facto the introduction of attribute-based regulation for small installations. The design of differentiated rates incentivizes smaller individual capacity choices at the border of size classes. This leads to excess bunching at the ceiling of the smaller size class. Neglecting this leads to overestimating treatment effects by around double the size. This potential bias underlines the impact of attribute-based regulation on technology adoption for solar PV.
机译:上网电价是支持可再生能源技术部署的一种广泛使用的政策工具。本文的目的是评估削减上网电价对太阳能光伏(PV)装置的因果效应。我采用差异法来隔离这种影响,方法是使用2009年至2013年德国所有县级并网光伏系统的数据。 2012年,行政级别级别的政策变更提供了上网电价的外在变化。我发现,将上网电价削减5%会导致一个县每月的新装机容量减少约46千瓦。这大约相当于2009年至2011年全国年平均太阳能光伏布署量的3%。对尺寸等级的重新评估实际上意味着对小型装置引入了基于属性的法规。区分费率的设计激励了在规模类别边界的较小个人能力选择。这会导致较小尺寸类别的天花板上出现过多的堆积。忽视这一点会导致治疗效果被高估大约两倍。这种潜在的偏见凸显了基于属性的法规对太阳能光伏技术采用的影响。

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    Germeshausen Robert;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 eng
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