The Ties that Bind Us: Social Networks and Productivity in the Factory

Farzana Afridi, A. Dhillon, Swati Sharma
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引用次数: 5

Abstract

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.
联系我们的纽带:工厂中的社会网络和生产力
我们使用来自印度服装制造单位的高频工人水平生产率数据来研究当工人在生产函数中是互补的,但工资是在个人水平上支付时,基于种姓的社会网络对个人和群体生产率的影响。利用近35000个工作日的生产线构成的外生变化,我们发现,本种姓工人在生产线上的份额每增加1个百分点,个人的日生产率就会增加约10个百分点。当生产线的种姓构成更加同质化时,表现最差的工人的努力程度会提高15个百分点以上。由于员工表现不佳而对其社交网络内的同事施加财务成本的生产外部性可以解释我们的发现。我们的研究结果表明,即使没有明确的基于群体的财务激励,社会网络也可以用来提高员工和群体的生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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