Consumption Feedback and Water Saving: A Field Intervention Evaluation in the Metropolitan Area of Milan

Stefano Clò, Tommaso Reggiani, Sabrina Ruberto
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Abstract

This paper investigates whether informative feedback on consumption can nudge water saving. We launched a five-month online information campaign which involved around 1,000 households located in the province of Milan (Italy) with a smart meter. A group of households received monthly reports via email on their per capita daily average water consumption, including a social comparison component. The Intention to Treat (ITT) analysis shows that, compared to a benchmark group, the units exposed to the intervention reduced their per capita water consumption by around 6% (25.8 liters per day or 6.8 gallons). Being able to observe the email opening rate, we find that the ITT effect is mainly driven by complying units. Through an Instrumental Variable approach, we estimated a Local Average Treatment Effect equal to 54.9 liters per day of water saving. A further Regression Discontinuity Design analysis shows that different feedback on consumption class size differentially affected water saving at the margin. We also found that the additional water saving increased with the number of monthly reports, though it did not persist two months after the campaign expired.

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消费反馈与节水:米兰市区实地干预评估
本文研究了关于用水量的信息反馈是否能促进节水。我们发起了一项为期五个月的在线信息活动,涉及意大利米兰省约 1000 个安装了智能水表的家庭。其中一组家庭每月通过电子邮件收到关于其人均日平均用水量的报告,包括社会比较部分。治疗意向(ITT)分析表明,与基准组相比,接受干预的单位人均用水量减少了约 6%(每天 25.8 升或 6.8 加仑)。通过观察电子邮件的打开率,我们发现 ITT 效果主要是由遵守规定的单位产生的。通过工具变量法,我们估算出当地平均处理效果相当于每天节水 54.9 升。进一步的回归不连续设计分析表明,对消费班级规模的不同反馈在边际上对节水产生了不同的影响。我们还发现,额外节水量随着月度报告数量的增加而增加,但在活动结束两个月后,节水量并没有持续增加。
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