大型基础设施项目对发展中地区直接影响的经济和数学模型

O. Patrakeeva
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引用次数: 0

摘要

评估基础设施项目对领土的影响的问题是有争议的。今天已经积累了建模经验,精心设计的宏观经济模型可以确定运输发展指标与经济增长之间的因果关系。本文的目标是定义一个模拟模型来评估交通项目对克拉斯诺达尔边疆区经济增长的影响,以克里米亚大桥项目为例。这一科学问题的解决需要考虑到所考虑的区域社会和经济系统框架内的不同因素和复杂的相互关系,使用系统分析的方法和经济和数学模拟的工具。仿真模型反映了资金管理政策、公路运输货物周转量、与刻赤直桥建设直接相关的公路运输货物周转量、与刻赤直桥建设直接相关的铁路运输货物运输量、铁路运输货物运输量等场景参数。利用计量经济学方法建立了模型各参数之间的相互关系。根据所产生的情景,由于与克里米亚大桥运营相关的运输增量,克拉斯诺达尔边疆区GRP的额外增量的预期中位数在0.97%至1.1%之间。最保守的情景假定中值为0.97%,下限为0.8%。该工具可用于评估铁路和公路建设对俄罗斯其他地区的直接影响。提出的仿真模型将进一步扩展,包括场景变量的进一步分布函数和额外的结构关系。
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Economic and Mathematical Modeling of the Direct Effects of Large-Scale Infrastructure Projects on Developing Territories
The problem of assessing the effects of infrastructure projects for territories is debatable. Modeling experience has been accumulated today, and elaborated macroeconomic models allow to identify causal relationships between the indicators of transport development and economic growth. The goal of this article is to define a simulation model of assessing the impact of transport projects on the economic growth of Krasnodar Krai exemplified by the Crimean Bridge project. The solution of this scientific problem requires taking into account different factors and complicated interrelationships within the framework of the regional social and economic system under consideration, using methods of system analysis and tools of economic and mathematical simulation. The simulation model reflects the scenario parameters of the capital management policy, highway transport freight turnover, highway transport freight turnover directly connected with the construction of Kerch Straight Bridge, carriage of goods by railway transport, carriage of goods by railway transport directly connected with the construction of Kerch Straight Bridge. The interrelations of this model’s parameters are established by the econometrics methods. In accordance with the produced scenarios the expected median values of the additional increment of the Krasnodar Krai GRP due to the increment of transportation associated with the Crimean Bridge operation are in the range between 0.97 % and 1.1 %. The most conservative scenario presumes the median value of 0.97 % and lower limit of 0.8 %. This tool can be used to assess the direct effect of railway and road construction for other Russian regions. The proposed simulation model will be further expanded by including further distribution functions of scenario variables and additional structural relationships.
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The Rating Assessment of Food Security of the Southern Federal District Regions The Impact of Scientific and Technological Progress on the Banking Sector Economic Security Investment Platforms in the Infrastructure of the Financial Market of the Russian Federation High Voltage Economy (Book Review: Cost Recovery and Financial Viability of the Power Sector in Developing Countries [Text] / J. Huenteler, I. Dobozi, A. Balabanyan, S. Ghosh Banerjee. – Washington, DC : World Bank, 2017. – 52 p.) The Analysis of the Financial Security of Russia: Current Trends, Challenges, Threats
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