国家级农地价值的空间集聚?

T. Griffin, G. Ibendahl, T. Mark
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引用次数: 1

摘要

农田价值受到生产力水平、相关作物价格、农场收入、城市扩张和外部投资压力的影响。由于特定区域的种植制度与相邻区域相似,土壤生产力指数在区域间变化缓慢,因此即使在州一级,农田价值也有望在空间上聚集。我们测试了1950年至2014年美国各州农田价值的空间相关性。耕地价值与耕地价值变化百分比存在空间相关性。这些结果表明,忽略相邻状态值的传统分析技术可能会被先进的空间分析所主导。对州一级农田价值的评估为评估师提供了对农田价值冲击如何影响周边州价值的见解。未来的分析将通过检查可用的次州和县级数据来验证这些结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Spatially Clustered are State-level Farmland Values?
Farmland values are influenced by productivity levels, prices of pertinent crops, farm incomes, urban sprawl, and external investment pressure. Since cropping systems in a given region are similar to adjacent regions and soil productivity indexes change slowly across regions, it was expected that farmland values are spatially clustered even at the state level. We tested spatial correlation on US state-level farmland values from 1950 to 2014. Spatial correlation was detected in farmland values and percent changes in farmland values. These results indicate that traditional analysis techniques that ignore values of neighboring states may be dominated by advanced spatial analysis. Evaluation of state-level farmland values provide appraisers with insights into how a shock to farmland values impact values in surrounding states. Future analyses will validate these results by examining available sub-state and county-level data.
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