Improving Air Conditioner Use Efficiency in China

Last registered on September 14, 2021


Trial Information

General Information

Improving Air Conditioner Use Efficiency in China
Initial registration date
September 13, 2021
Last updated
September 14, 2021, 4:37 PM EDT


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Primary Investigator

Leibniz University Hannover; Ruhr University Bochum

Other Primary Investigator(s)

PI Affiliation
Renmin University of China

Additional Trial Information

On going
Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
We conduct a randomized controlled trial to understand how to improve the efficiency of air conditioning use among households in the southern regions in China. First, we collect data on how households used air conditioning in the past 12 months based on self-reports. Then one monitor is installed on each air conditioner in the households to collect data documenting the real use of air conditioners in the household. We would evaluate whether giving them information and how information is given could improve the use of air conditioners.
External Link(s)

Registration Citation

Jiang, Xiaopeng and Yuanwei Xu. 2021. "Improving Air Conditioner Use Efficiency in China." AEA RCT Registry. September 14.
Experimental Details


Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Use of air conditioners: daily frequency of using, daily amount of eletricity used by air conditioners.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will send information on how to use air conditioners efficiently to the households via text messages. The randomization is inplemented at the household level, within 34 cities (strata). One third of the households would receive general information, one third would receive specific instructions, and one third would receive no message and serve as control. In addition, half of those who would receive any information would get one additional text message with the same text, sent by their social network contact.
Experimental Design Details
Not available
Randomization Method
Randomization in stata
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
About 500 households from 34 cities in 12 provinces in southern China
Sample size: planned number of observations
About 500 households
Sample size (or number of clusters) by treatment arms
About 170 households as control, 170 households receive general information, and 170 households receive specified information.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
Renmin University
IRB Approval Date
IRB Approval Number