摘要
针对各地网约车政策治理中规制力度设定合理性问题,通过构建网约车政策评价模型,分析比较北京等6个城市的网约车政策特征,形成基于PMC指数的政策评价框架,借助PMC曲面图直观呈现政策文本特点。研究发现:网约车政策的规制力度与城市交通拥堵指数及常住人口密度成正比;交通拥堵指数及常住人口密度越高,网约车政策的规制力度也往往较强;PMC指数均值体现了政策力度平均水平,研究中PMC指数均值为7.43,这一政策规制力度平均水平反映了政策整体规制力强度;规制力与规制效果之间受到交通拥堵指数和人口密度的约束。该研究为网约车市场的治理监管提供了有力的决策参考。
In view of the rationality of regulatory intensity about the local Ride-hailing Policy,this paper established a PMC-Index model and then realized the evaluation and comparative analysis towards Beijing and other six cities′policies to ride-hailing services based on their PMC-Index and visualized policy textual features through PMC surface charts.The study found that the regulatory intensity is proportional to traffic congestion index and population density,the higher the traffic congestion index and population density,the regulatory intensity of the policy is often stronger.The average PMC index reflects the average level of policy efforts.In this study,the average PMC index is 7.43 which reflects the strength of the overall regulatory power of the policy.Constraints between regulatory intensity and regulatory effects are constrained by traffic congestion index and population density.This research provides a powerful decision-making reference for the regulation and control of the ride-hailing market.
作者
张永安
伊茜卓玛
ZHANG Yongan;YIXI Zhuoma(Economics and Management School,Beijing University of Technology,Beijing 100124,China)
出处
《北京工业大学学报（社会科学版）》
CSSCI
2018年第3期45-53,共9页
Journal of Beijing University of Technology (Social Sciences Edition)
基金
国家自然科学基金项目资助(70972115)
关键词
共享经济
网约车政策
政策量化
PMC指数模型
规制力度
sharing economy
ride-hailing policy
policy quantification
PMC-index model
regulatory intensity
