Experimental Design
This study is designed as a randomized controlled trial (RCT) to evaluate the effects of supporting secondary employment (“moonlighting”) among government employees on workplace productivity, job satisfaction, and employee well-being in China. The trial will recruit participants from a wide range of public sector agencies, including the Letters and Visits Office, Courts, Public Security Bureau and Police (including the Entry-Exit Administration), Tax Bureau, Civil Affairs Bureau, Human Resources and Social Security Bureau, Market Supervision Administration, Sub-district Offices and Community Committees, Education Bureau, Health Commission, Urban Management/Chengguan, Transport Bureau, and Finance Bureau. Across these departments, the pool of potential participants is estimated to be approximately 7,000 employees. The primary geographical focus will be Guangdong province, with the possibility of expanding to other regions.
Eligible government employees who consent to participate will be randomly assigned to either the treatment group or the control group. Randomization will be conducted at the individual level within each participating department, using a computer-generated random number sequence. To ensure balance across groups, randomization may be stratified by department and/or location.
Participants assigned to the treatment group will receive structured support to facilitate engagement in outside employment. This support includes information sessions about the legal and practical aspects of holding a secondary job, guidance on application procedures and relevant policies, and access to personalized consultations for navigating administrative processes. The control group will not receive any additional information or support related to outside employment beyond what is routinely available through their agencies. The intervention will be delivered over a one-year period through a combination of group workshops, written materials, and individual consultations.
Primary outcomes will be measured at baseline and follow-up, and include workplace productivity (assessed through administrative evaluations, self-reported productivity, and, where feasible, unobtrusive observation), uptake of secondary employment (measured by self-report and verified with administrative data), job satisfaction (using validated survey instruments), and employee well-being (including work-life balance, psychological well-being, and financial well-being). The study will estimate the causal impact of the intervention by comparing outcomes between the treatment and control groups using an intention-to-treat analysis framework, controlling for relevant baseline characteristics and accounting for any clustering by department or location.