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Multi-Regional Agent-Based Modeling of Household and Firm Location Choices with Endogenous Transport Costs

机译:基于多区域代理的内生运输成本住户和企业选址模型

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摘要

The paper describes a spatial economic agent-based model (ABM), consistent with the principles of new economic geography (NEG), which allows the discrete-time evolutionary simulation of complex interactions of household and firm location choices. In contrast with the current ABM approaches, it considers a multi-regional (multi-urban) setting to enable a more realistic representation of decisions related to commuting, migration and household and employment location. The model allows simulating spatially differentiated, multi-commodity markets for land and labor in a system of cities and the behavior of profit-maximizing firms with multi-regional asset investment decisions, incorporating endogenous intra- and inter-urban transport costs with congestion effects. It also accounts for the impact of industrial and urban agglomeration forces on location choices and the formation of urban development patterns. Other features include the representation of the actions of central and local government agents to address issues of territorial development, efficiency and equity. The simulation set-up and evolutionary analysis of the spatial ABM are presented and several implications are discussed with regard to the possible outcomes of a set of policy interventions.
机译:本文描述了一种基于空间经济主体的模型(ABM),与新经济地理学(NEG)的原理相一致,该模型允许离散时间演化模拟住户和公司位置选择之间的复杂相互作用。与当前的ABM方法相比,它考虑了多区域(多城市)设置,以便更现实地表示与通勤,移民,家庭和就业地点有关的决策。该模型可以模拟城市系统中土地和劳动力的空间差异化,多商品市场以及具有多区域资产投资决策的利润最大化公司的行为,将内生的城市内部和城市之间的运输成本纳入拥挤效应。它还说明了工业和城市集聚力量对区位选择和城市发展模式形成的影响。其他功能包括代表中央政府和地方政府机构为解决领土发展,效率和公平问题而采取的行动。介绍了空间反导系统的模拟设置和进化分析,并讨论了一系列政策干预措施可能产生的影响。

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