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Spatial Attributes Mediating Regional Carrying Capacity for Office Firm Sectors: A Stochastic Frontier Approach

机译:空间属性介导办公企业部门的区域承载力:一种随机前沿方法

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Using stochastic frontier modeling, we examine the regional carrying capacity for office firmsectors, in the so-called COROP areas of The Netherlands. We express the concept of carryingcapacity using the number of jobs in various economic sectors. Results indicate that regions canbe characterized by economic sectors that have a minimum amount of jobs necessary to servetheir local needs and, in most of the cases, they can serve external markets due to a surplus in thenumber of jobs. On the other hand, regions can also be characterized by economic sectors thatsupport a maximum amount of jobs based on their regional specific factors. As many regions arebelow this frontier, it allows them to absorb external demands. Therefore, it may be that carryingcapacity is not an applicable concept for all sectors and that sometimes a minimum size might bea better description. In sum, the findings delineated here can compose a base framework tosimulate office firm demographic processes in line with integrated land use-transportation(LUTI) models and agent-based modeling approaches.
机译:使用随机前沿模型,我们研究了办公公司的区域承载能力 在荷兰所谓的COROP地区。我们表达携带的概念 能力利用各个经济部门的工作数量。结果表明,区域可以 经济部门的特点是必须提供最少的工作岗位 他们的本地需求,并且在大多数情况下,由于供应过剩,它们可以为外部市场服务 工作数量。另一方面,区域也可以具有经济部门的特征, 根据区域特定因素支持最大数量的工作。由于许多地区 在这个边界以下,它使他们能够吸收外部需求。因此,可能是因为 容量并不是适用于所有部门的概念,有时最小规模可能是 更好的描述。总而言之,这里描述的发现可以构成一个基本框架,以 根据综合的土地使用和运输模拟办公室公司的人口统计过程 (LUTI)模型和基于代理的建模方法。

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