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A new approach to an age-old problem: solving externalities by incenting workers directly

机译:解决一个古老问题的新方法:通过直接激励工人来解决外部性

摘要

Understanding motivations in the workplace remains of utmost import as economies around theudworld rely on increases in labor productivity to foster sustainable economic growth. This studyudmakes use of a unique opportunity to “look under the hood” of an organization that criticallyudrelies on worker effort and performance. By partnering with Virgin Atlantic Airways on a fieldudexperiment that includes over 40,000 unique flights covering an eight-month period, we exploreudhow information and incentives affect captains’ performance. Making use of more than 110,000udcaptain-level observations, we find that our set of treatments—which include performanceudinformation, personal targets, and prosocial incentives—induces captains to improve efficiency inudall three key flight areas: pre-flight, in-flight, and post-flight. We estimate that our treatmentsudsaved between 266,000-704,000 kg of fuel for the airline over the eight-month experimentaludperiod. These savings led to between 838,000-2.22 million kg of CO2 abated at a marginaludabatement cost of negative $250 per ton of CO2 (i.e. a $250 savings per ton abated) over theudeight-month experimental period. Methodologically, our approach highlights the potentialudusefulness of moving beyond an experimental design that focuses on short-run substitutionudeffects, and it also suggests a new way to combat firm-level externalities: target workers ratherudthan the firm as a whole.
机译:由于世界各地的经济都依赖劳动生产率的提高来促进可持续的经济增长,因此了解工作场所的动机仍然至关重要。这项研究 ud利用了一次独特的机会来“关键地”依靠一个组织的“内幕”,而该组织关键地依赖于工人的努力和绩效。通过与维珍航空的合作,在8个月的时间内进行了超过40,000次独特飞行的野外试验,我们探索了信息和激励措施如何影响机长的表现。利用超过110,000个机长水平的观察结果,我们发现我们的一系列处理(包括绩效信息,个人目标和亲社会激励)–诱导机长提高 udall三个关键飞行领域的效率:飞行前,飞行中和飞行后我们估计,在为期八个月的试验 udperiod期间,我们的处理为航空公司节省了266,000-704,000 kg的燃油。这些节省导致在整个8个月的试验期间内,边际减排成本为每吨CO2负250美元(即每吨减排250美元的节约)的边际减排成本减少了838,000-222万公斤。从方法上讲,我们的方法强调了超越侧重于短期替代 udeffects的实验设计的潜力有用处,并且还提出了一种新的方式来应对公司层面的外部性:目标工人而不是整个公司。

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