Doctoral Dissertation Research in Economics: Dissecting Piece Rate: Evidence from a Natural Experiment in a Garment Factory

经济学博士论文研究：剖析计件率：来自服装厂自然实验的证据

• 批准号: 2242282
• 负责人: Andrew Foster
• 金额: $ 1.48万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2242282&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Economics; Dissecting

Piece-rate wage system is a popular payment mechanism in the manufacturing sector, but some employers find it difficult to switch to this system for many reasons. While theoretical work argues that piece-rate wage motivates individual worker effort, it is unclear whether switching from a fixed-wage to piece-rate wage system increases overall worker productivity since piece rates affect labor productivity through multiple channels that may conflict with each other. This research project takes advantage of an on-going process of change from a fixed wage to a piece-rate wage system in one garment manufacturing plant to study the effects of piece-rate wage on productivity. The researchers will study how piece-rate wage payment system affects productivity through increased performance monitoring, motivation of individual efforts, as well as recruitment and retention of more productive workers. The innovative research design will allow the researchers to unbundle the separate effect of each productivity changing mechanism. The results of this research will guide US businesses on how to implement wage systems that reward productivity, hence increase economic growth and improve the well-being of citizens. This DDRIG research project will leverage the introduction of piece-rate wage system in a garment factory to study whether piece-rate wage system increases overall labor productivity relative to a fixed wage system and if so, the mechanisms through which these labor productivity changes occur. The factory will implement two interventions---performance-based wage scheme and a worker monitoring system. The implementation of these interventions is staggered, and this staggered roll-out allows the PIs to distinguish the mechanisms---increase monitoring, motivation of individual workers, or recruitment and retention of highly productive workers---through which performance-based wages affect labor productivity. Turnover and heterogeneous treatment of performance-based wages will allow the PIs to analyze sorting of workers into different performance groups. The results of this research will guide US businesses on how to implement wage systems that rewards productivity, hence increase economic growth and improve the well-being of citizens.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

零件工资系统是制造业中流行的支付机制，但是有些雇主发现很难切换到该系统。 尽管理论工作认为零件工资激发了个人工人的努力，但尚不清楚从固定工资转换为零件工资系统是否会提高整体工人的生产力，因为碎片率通过可能相互冲突的多个渠道影响劳动率。 该研究项目利用了从固定工资到一个服装制造工厂中零件工资系统的持续变化过程，以研究零件工资对生产率的影响。 研究人员将通过提高绩效监控，个人努力以及招募和保留更高生产力的工人的绩效监控，招聘和保留绩效监控，如何影响零件的工资支付系统如何影响生产率。 创新的研究设计将使研究人员能够解开每个生产力改变机制的单独效果。 这项研究的结果将指导美国企业如何实施奖励生产力的工资系统，从而提高经济增长并改善公民的福祉。 该DDRIG研究项目将利用服装工厂中的零件工资系统的引入，以研究零件工资系统是否相对于固定工资系统提高了总体劳动生产力，如果是，则这些劳动生产力发生了变化的机制。 工厂将实施两种干预措施 - 基于绩效的工资计划和一个工人监控系统。 这些干预措施的实施交错，这种交错的推出使PIS可以区分机制 - 增加监测，个人工人的动机，招募和高产工人的招聘和保留，基于绩效的工资会影响劳动力生产率。营业额和基于绩效的工资的异质处理将使PI可以将工人分类为不同的绩效组。 这项研究的结果将指导美国企业如何实施奖励生产力的工资系统，从而提高经济增长并改善公民的福祉。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点评估来支持的，并具有更广泛的影响。