天气冲击、动态调价与劳动供给——来自上海出租车市场的证据

Weather Shocks, Dynamic Pricing and Labor Supply:Evidence from the Shanghai Taxi Market

本文分别基于新古典和行为经济学理论分析降雨对出租车驾驶员劳动供给的影响,并利用上海出租车市场大数据进行检验。基于固定运价下的巡游车数据,发现工作环境恶化会抑制劳动供给;将其与市场化运价下的网约车对比,发现工资激励可以缓解气候变化对劳动供给的负面效应;经验证据表明,两类驾驶员行为符合参照点依赖偏好理论。因此,政府可以通过赋予企业更大的定价自主权,来提高其应对气候变化的能力并改进居民福利。

The impact of rainfall on the labor supply of taxi drivers is elucidated based on theories of neoclassical economics and behavioral economics,and big data from the Shanghai taxi market is utilized for verification.Deteriorating working conditions is found to suppress labor supply with data from cruising taxis under fixed fares.Comparing this with ride-hailing services operating under market-oriented fares,wage incentives is found to alleviate the negative effects of climate change on labor supply.Empirical evidence suggests that the behaviors of both types of drivers conform to reference-dependent preference theory.Therefore,empowering enterprises with greater pricing autonomy could enhance their resilience to climate change and enhance residents'well-being.