Erasmus University Rotterdam, Rotterdam, The Netherlands.
Health Econ. 2013 Aug;22(8):915-30. doi: 10.1002/hec.2870. Epub 2012 Aug 30.
This article explores the determinants of road traffic crash fatalities in India. In addition to income, the analysis considers the sociodemographic population structure, motorization levels, road and health infrastructure and road rule enforcement as potential factors. An original panel data set covering 25 Indian states is analyzed using multivariate regression analysis. Time and state fixed-effects account for unobserved heterogeneity across states and time. The rising motorization, urbanization and accompanying increase in the share of vulnerable road users, that is, pedestrians and two-wheelers, are the major drivers of road traffic crash fatalities in India. Among vulnerable road users, women form a particularly high-risk group. Higher expenditure per police officer is associated with a lower fatality rate. The results suggest that India should focus, in particular, on road infrastructure investments that allow the separation of vulnerable from other road users on improved road rule enforcement and should pay special attention to vulnerable female road users.
本文探讨了印度道路交通事故死亡的决定因素。除了收入,分析还考虑了人口结构、汽车化水平、道路和卫生基础设施以及道路规则执行等潜在因素。本文使用多元回归分析对涵盖印度 25 个邦的原始面板数据集进行了分析。时间和州固定效应考虑了各州和时间之间未被观察到的异质性。汽车化、城市化以及相应增加的弱势道路使用者(即行人和两轮车)比例是印度道路交通事故死亡的主要驱动因素。在弱势道路使用者中,女性构成了一个特别高风险的群体。每增加一名警察的支出与较低的死亡率相关。研究结果表明,印度应特别关注允许弱势道路使用者与其他道路使用者分离的道路基础设施投资,改善道路规则执行,并特别关注弱势女性道路使用者。