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Incorporating Spatial Complexity into Economic Models of Land Markets and Land Use Change.

机译:将空间复杂性纳入土地市场和土地利用变化的经济模型。

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摘要

Recent work in regional science, geography, and urban economics has advanced spatial modeling of land markets and land use by incorporating greater spatial complexity, including multiple sources of spatial heterogeneity, multiple spatial scales, and spatial dynamics. Doing so has required a move away from relying solely on analytical models to partial or full reliance on computational methods that can account for these added features of spatial complexity. In the first part of the paper, we review economic models of urban land development that have incorporated greater spatial complexity, focusing on spatial simulation models with spatial endogenous feedbacks and multiple sources of spatial heterogeneity. The second part of the paper presents a spatial simulation model of exurban land development using an auction model to represent household bidding that extends the traditional Capozza and Helsley (1990) model of urban growth to account for spatial dynamics in the form of local land use spillovers and spatially heterogeneous land characteristics.
机译:区域科学,地理和城市经济学领域的最新工作通过纳入更大的空间复杂性,包括多种空间异质性,多种空间尺度和空间动态,提高了土地市场和土地利用的空间模型。这样做需要从仅依靠分析模型转变为部分或完全依靠可以解释这些增加的空间复杂性特征的计算方法。在本文的第一部分中,我们回顾了结合了更大空间复杂性的城市土地开发的经济模型,重点研究了具有空间内生反馈和空间异质性多种来源的空间模拟模型。本文的第二部分提出了一种用拍卖模型来代表住户招标的郊区土地开发的空间模拟模型,该模型扩展了传统的Capozza和Helsley(1990)的城市增长模型,以当地土地利用溢出的形式解释了空间动态。和空间异质的土地特征。

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