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Empowering Workers: Evidence from Auto Manufacturing in China
Last registered on June 23, 2017

Pre-Trial

Trial Information
General Information
Title
Empowering Workers: Evidence from Auto Manufacturing in China
RCT ID
AEARCTR-0002286
Initial registration date
June 23, 2017
Last updated
June 23, 2017 6:55 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
Other Primary Investigator(s)
PI Affiliation
Additional Trial Information
Status
On going
Start date
2016-05-01
End date
2018-06-01
Secondary IDs
Abstract
Our research seeks to understand the impact of increasing workers’ input and participation in decision-making within a firm on outcomes, including productivity, retention and well-being. We are working with an automobile manufacturing firm in China on a set of randomized field experiments with production line workers and their managers. We propose two experimental designs. The first looks at the effects of empowering workers by giving them more choice in determining their own compensation scheme. The second experiment looks at managerial compensation and its intersection with giving workers more voice in that process.


External Link(s)
Registration Citation
Citation
Cai, Jing and Shing-Yi Wang. 2017. "Empowering Workers: Evidence from Auto Manufacturing in China." AEA RCT Registry. June 23. https://doi.org/10.1257/rct.2286-2.0.
Former Citation
Cai, Jing, Shing-Yi Wang and Shing-Yi Wang. 2017. "Empowering Workers: Evidence from Auto Manufacturing in China." AEA RCT Registry. June 23. http://www.socialscienceregistry.org/trials/2286/history/18953.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2016-08-01
Intervention End Date
2017-06-01
Primary Outcomes
Primary Outcomes (end points)
productivity metrics, job retention, well being measures, earnings, promotion, empowerment, soft skills, social relationships and team work
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Production line workers at the firm are organized into teams that are headed by a manager. Our randomization will occur at the team level with approximately an equal number of teams in treatment and control.
Experimental Design Details
Production line workers at the firm are organized into teams that are headed by a manager. Our randomization will occur at the team level with approximately an equal number of teams in treatment and control. The randomization will be stratified by plant, whether they are above or below median team size and whether they are above or below median in productivity in the prior year.
Randomization Method
randomization done in office by a computer
Randomization Unit
team level
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
100
Sample size: planned number of observations
2000
Sample size (or number of clusters) by treatment arms
50 treatment teams and 50 control teams
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University of Pennsylvania, office of regulation
IRB Approval Date
2016-01-28
IRB Approval Number
824013
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS