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Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland

机译:智能电表设备及其反馈对居民用电量的影响:来自北爱尔兰的自然实验的证据

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摘要

Using a unique set of data and exploiting a large-scale natural experiment, we estimate the effect of real-time usage information on residential electricity consumption in Northern Ireland. Starting in April 2002, the utility replaced prepayment meters with advanced meters that allow the consumer to track usage in real-time. We rely on this event, account for the endogeneity of price and payment plan with consumption through a plan selection correction term, and find that the provision of information is associated with a decline in electricity consumption of 11-17%. We find that the reduction is robust to different specifications, selection-bias correction methods and subsamples of the original data. The advanced metering program delivers reasonably cost-effective reductions in carbon dioxide emissions, even under the most conservative usage reduction scenarios.
机译:使用一组独特的数据并利用大规模的自然实验,我们估计了实时使用信息对北爱尔兰居民用电量的影响。从2002年4月开始,该公用事业公司用高级电表取代了预付费电表,从而使消费者可以实时跟踪使用情况。我们依靠此事件,通过计划选择校正项将价格和付款计划与消耗的内生性联系在一起,并发现信息的提供与电力消耗下降11-17%有关。我们发现,该减少对于不同的规格,选择偏倚校正方法和原始数据的子样本具有鲁棒性。即使在最保守的使用量减少方案下,先进的计量程序也可以合理,经济高效地减少二氧化碳排放量。

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