城市公共交通财政补贴测算模型优化研究——基于线性与非线性模型的分析

Study on Optimization of Calculating Urban Public Transport Financial Subsidy Model——Based on Linear and Non-linear Model

本文将经济学的资源配置理论用于分析城市公共交通财政补贴的最优分配问题,分别在公路交通和轨道交通中考虑运营收入财政补贴和车辆改造财政补贴两种资源,依据政府财政补贴资源和公交企业的利润目标分别构建城市公共交通财政补贴的线性规划模型和非线性规划模型,并通过线性规划的对偶理论和非线性规划的Kuhn-Tucker条件揭示政府对道路交通和轨道交通进行补贴的补贴单价为政府对道路交通和轨道交通进行补贴的影子价格。本文以重庆市为例,验证该模型测算城市公共交通的财政补贴单价是可行的。

This paper uses theory of resource allocation to analyze the urban public transport subsidies to get optimal allocation, considers public transport operating income financial subsidies and transformation of public transport vehicles financial subsidies as 2 resources with applied resource allocation problem in Economics, and assigns it to the road traffic and the track traffic. Then according to the resource of government subsidies and bus enterprise＇s profit target respectively to build urban public transportation finance subsidy model of linear programming and nonlinear programming model. And through the dual theory of linear programming and the Kuhn-Tucker conditions of nonlinear programming, the subsidies unit price of road traffic and track traffic which the government provides is their shadow price. Finally taking Chongqing city as an example, verify the feasibility of the model.