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Green development system innovation and policy simulation in Tianjin based on system dynamics model

机译:基于系统动力学模型的天津绿色发展系统创新与政策仿真

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摘要

Taking the system dynamics model as the modeling technology and Tianjin as the research area, the DPSIR analysis framework is used to construct the Tianjin green development system innovation and policy simulation model. The model consists of three subsystems, including the economic population subsystem, the resource energy subsystem, and the environmental assessment subsystem. This study designed three policy scenarios, namely, the extensive-adjustment policy scenario, the economic transition priority policy scenario, and the pollution governance priority policy scenario. Taking the data of Tianjin City in 2018 as a reference sample, the simulation results of the city from 2020 to 2035 were obtained. The simulation results show that in the aspect of economic aggregate growth and urbanization, the economic transformation priority policy scenario is optimal; in terms of energy supply, all three scenarios show a negative effect; in the aspect of air pollution control, the pollution control priority policy scenario is optimal. In terms of carbon emissions and water pollution control, the economic transformation priority policy scenario is the best. According to the simulation results, this paper puts forward corresponding policy recommendations for the reference of Tianjin green development system innovation.
机译:以系统动态模型为模型技术和天津作为研究区,DPSIR分析框架用于构建天津绿色发展系统创新和政策仿真模型。该模型由三个子系统组成,包括经济人口子系统,资源能源子系统和环境评估子系统。本研究设计了三种政策情景,即广泛调整政策情景,经济转型优先政策情景以及污染治理优先政策情景。将2018年天津市的数据作为参考样本,获得了2020年至2035年的城市的模拟结果。仿真结果表明,在经济总增长和城市化方面,经济转型优先政策情景是最佳的;在能源供应方面,所有三种情况都显示出负面影响;在空气污染控制的方面,污染控制优先权政策情景是最佳的。在碳排放和水污染控制方面,经济转型优先政策情景是最好的。根据仿真结果,本文提出了对天津绿色发展系统创新的参考的相应政策建议。

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