Effect and mechanism of monetary incentives and moral suasion on residential peak-hour electricity usage
Effect and mechanism of monetary incentives and moral suasion on residential peak-hour electricity usage
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货币激励与道德劝导对居民高峰用电的影响及机制
DOI：
10.1016/j.techfore.2021.120792
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发表时间：
2021-08
影响因子：
12
通讯作者：
Zhaohua Wangle
中科院分区：
文献类型：
--
作者：
Bo Wang;Nana Deng;Haoxiang Li;Wenhui Zhao;Jie Liu;Zhaohua Wangle
最重要的经济学原理之一是人们会对激励做出反应。经济学本质上是对激励机制的研究。然而，这些激励是否可以取代值得我们保护的态度和规范，特别是在环境领域，仍然不清楚。为了回答这个问题，我们进行了居民节能减排需求响应（DR）试验。大规模、混合频率的电力使用历史数据和微观行为数据进行了整合和分析。实证结果表明，货币激励对居民的节电行为有显著影响，共节约0.116千瓦时，占高峰时段用电总需求的12%。道德劝说仅对高收入社区的居民有显著效果，其使用率降低了8.9%。通过配对调查数据分析，我们发现参与DR的家庭通过调整其他大家电和小家电来节约用电，而不是减少空调的使用。大家电和小家电数量较多的家庭分别多0.51千瓦时和0.38千瓦时。在现阶段的中国，鼓励家庭减少高峰时段用电，货币激励是不可或缺的。
One of the most important economic principles is that people respond to incentives. Economics is essentially the study of incentives. However, whether these incentives can replace attitudes and norms that deserve our protection is still unclear especially in the field of environment. And to answer this question, residents’ demand response (DR) for energy conservation and emission reduction trials have been taken. Large-scale, hybrid frequency historical data for electricity usage and microcosmic behavior data have been integrated and analyzed. Empirical results show that monetary incentives have a significant effect on residents’ electricity saving behavior, which saved 0.116 kgwatt-hours (kWh), accounting for 12% of the total demand in peak-hour consumption. Moral suasion has a significant effect only for residents from high-income communities with a reduction in usage by 8.9%. Through matching survey data analysis, we found that families participating in DR save electricity through adjusting other major and small appliances rather than reducing the usage of air conditioners. Families with large number of major and small appliances response 0.51 kWh and 0.38 kWh more, respectively. Monetary incentive is indispensable in China's current stage of encouraging families’ reducing peak-hour electricity usage.
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影响因子：
3.7
作者：
Wang Wenwen;Zhang Ming
通讯作者：
Zhang Ming
影响因子：
15.9
作者：
Szymon Wermiński;M. Jarnut;G. Benysek;J. Bojarski
通讯作者：
Szymon Wermiński;M. Jarnut;G. Benysek;J. Bojarski
影响因子：
15.9
作者：
A. R. Jordehi
通讯作者：
A. R. Jordehi
DOI：
10.1007/978-3-642-25446-8_8
发表时间：
2011-11
期刊：
--
影响因子：
--
作者：
Cem Keskin;A. Cemgil;L. Akarun
通讯作者：
Cem Keskin;A. Cemgil;L. Akarun
影响因子：
9
作者：
A. Heggie;D. Eager;Ken McKinnon;A. H. Weijde
通讯作者：
A. Heggie;D. Eager;Ken McKinnon;A. H. Weijde