G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14687
DP14687 The Ties That Bind Us: Social Networks and Productivity in the Factory
Farzana Afridi; Amrita Dhillon; Swati Sharma
发表日期2020-04-30
出版年2020
语种英语
摘要We use high frequency worker level productivity data from garment manufacturing units in India to study the effects of caste-based social networks on individual and group productivity when workers are complements in the production function but wages are paid at the individual level. Using exogenous variation in production line composition for almost 35,000 worker-days, we find that a 1 percentage point increase in the share of own caste workers in the line increases daily individual productivity by about 10 percentage points. The lowest performing worker increases her effort by more than 15 percentage points when the production line has a more homogeneous caste composition. Production externalities that impose financial costs due to worker's poor performance on co-workers within her social network can explain our findings. Our results suggest that even in the absence of explicit group-based financial incentives, social networks can be leveraged to improve both worker and group productivity.
主题Public Economics
关键词Caste Social Networks Labor productivity Assembly lines India
URLhttps://cepr.org/publications/dp14687
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/543603
推荐引用方式
GB/T 7714
Farzana Afridi,Amrita Dhillon,Swati Sharma. DP14687 The Ties That Bind Us: Social Networks and Productivity in the Factory. 2020.
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