The gig economy refers to short-term, flexible work arrangements distinct from traditional "nine-to-five" schedules. By leveraging internet and mobile technologies to rapidly match supply and demand, it constitutes a vital component of the sharing economy and represents a novel approach to human resource allocation. Comprising a sector dominated by freelancers with fragmented workloads, the gig economy utilizes digital platforms for efficient matching, primarily manifesting in two forms: crowd-based work and app-mediated on-demand labor.
This emerging economic model is gaining global momentum. According to 2021 data released by China's Ministry of Human Resources and Social Security, approximately 200 million workers are engaged in flexible employment nationwide.
China's gig economy online recruitment database is constructed using keywords including takeout, Meituan, Ele.me, flash delivery, riders, Didi, designated driving, part-time jobs, side hustles, flexible employment, and platform economy. It aggregates recruitment data from five sources, capturing fields such as company name, work location, position title, headcount, compensation package, work experience requirements, education qualifications, and posting date. This dataset provides robust foundational support for academic research.
Database Usage Guide
Operational logic for CnOpenData's China Gig Economy Online Recruitment Database:
https://mp.weixin.qq.com/s/EjHtR9ms0nuPwgLjuQFRsQ
Data Scale
Temporal Coverage
- Source B, C, E: May 2014 - 2024
- Source D: May 2014 - July 2021
- Source E: May 2014 - October 2021
Field Specifications
Sample Data
中国零工经济线上招聘数据-B来源
中国零工经济线上招聘数据-C来源
中国零工经济线上招聘数据-D来源
中国零工经济线上招聘数据-E来源
中国零工经济线上招聘数据-F来源
参考文献
- 莫怡青、李力行，2022：《零工经济对创业的影响——以外卖平台的兴起为例》《管理世界》第2期。
- Barrios，J. M.，Hochberg，Y. V. and Yi，H. Y.，2020，“Launching with a Parachute：The Gig Economy and New Business Formation”,Journal of Financial Economics.
数据更新频率
年度更新