利用单个城市的地价梯度衡量总体地价

IF 3.5 2区 经济学 Q1 ECONOMICS
Nathaniel Harris
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引用次数: 0

摘要

综合土地价值可用于多种研究目的,包括衡量城市产生的社会盈余和评估城市发展政策。然而,此前只有 Albouy 等人(2018 年)的一项研究尝试测量美国城市的横截面可比综合地价。该研究依赖于空置或接近空置的土地销售,并使用了土地价值函数的单一集合总体估算。本研究使用 Larson 等人(2021 年)估算的土地价值来估计单个城市的土地价值梯度。此外,还使用人口密度函数的估算值来衡量城市边界。根据罗森(1974 年)-罗巴克(1982 年)模型的预测,土地价值应随着反映自然美化程度的变量的增加而增加,因此对 Albouy 等人(2018 年)的总体土地价值估算和此处使用的单个城市梯度方法进行了测试。单个城市梯度法得出的总体土地价值城市间变化估计值与 Albouy 等人(2018 年)的估计值十分吻合,并且符合理论预期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring aggregate land values using individual city land value gradients

Aggregate land value is useful for a variety of research purposes including measuring the social surplus generated by cities and evaluating urban development policies. Nevertheless, only one previous study, Albouy et al., (2018), has attempted to measure cross-sectionally comparable aggregate land values for U.S. cities. That study relied on vacant or near-vacant land sales and used a single pooled aggregate estimate of the land value function. This research uses land values imputed by Larson et al., (2021) to estimate land value gradients for individual cities. Furthermore, the city boundary is measured using estimates of population density functions. Aggregate land value estimates from Albouy et al., (2018) and the individual city gradient approach used here are tested against the prediction of the Rosen, (1974)-Roback, (1982) model, that land value should rise with variables reflecting natural amenity. The individual city gradient approach produces estimates of intercity variation in aggregate land value that agree well with those in Albouy et al., (2018) and are consistent with theoretical expectations.

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来源期刊
CiteScore
5.30
自引率
9.70%
发文量
63
期刊介绍: Regional Science and Urban Economics facilitates and encourages high-quality scholarship on important issues in regional and urban economics. It publishes significant contributions that are theoretical or empirical, positive or normative. It solicits original papers with a spatial dimension that can be of interest to economists. Empirical papers studying causal mechanisms are expected to propose a convincing identification strategy.
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