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社会资本参与交通项目的需求量补贴研究

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为了缓解财政压力,近年来政府越来越多地采用特许经营模式与社会资本合作提供交通项目.但社会资本与政府合作参与交通项目具有的建设周期长、前期投资大、运营风险高等特征会降低其与政府合作的意愿.相比于其他风险,需求风险是交通项目最主要的运营风险之一,为了分担部分需求风险并激励社会资本参与交通项目的建设和运营,政府提供支持是一种有效的方式.以社会资本参与交通项目的建设和运营为研究对象,假设项目运营过程中需求量的波动符合二项式模型,并使用蒙特卡洛模拟的方法对需求量进行预测,以得到需求量的变化趋势;同时,采用净现值的方法(NPV)构建需求量补贴模型,利用预测得到的需求量确定最优的补贴上限和补贴额;最后,通过数值模拟,给出了当实际需求量偏离预测需求量时补贴的最优调节机制.
Research on Demand Subsidies for the Social Capital Participating in the Transportation Projects
To mitigate the financial pressure,the government has increasingly adopted the franchise model to cooperate with the social capital to provide transportation projects in recent years.However,the cooperation between the government and the social capital in providing transportation projects has the characteristics of long construction cycle,largely upfront investment and high operation risk,which reduce the social capital's willingness to cooperate with the government.Compared with other risks,the demand risk is one of the most primary operation risks in transportation projects.To share part of the demand risk and encourage the social capital to participate in the construction and operation of transportation projects,the government support is an effective method.By taking the construction and operation of transportation projects participated by the social capital as the research objects and assuming that the fluctuation of quantity demanded meets the binomial model,this paper uses the Monte Carlo simulation method to predict the quantity demanded and obtains the change tendency of quantity demanded.Meanwhile,the net present value method(NPV)is used to construct the demand subsidy model so as to determine the optimal subsidy ceiling and subsidy amount.Finally,this paper presents the optimal adjustment mechanism of subsidy when the actual quantity demand deviates from the forecast quantity demand through the numerical simulation.

demand forecastbinomial modeldemand subsidynumerical simulation

赵云鹏

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河北师范大学商学院,河北石家庄 050024

需求预测 二项式模型 需求量补贴 数值模拟

2025

邢台学院学报
邢台学院

邢台学院学报

影响因子:0.234
ISSN:1672-4658
年,卷(期):2025.40(1)