The Impact of Natural Amenity on Farmland Values: A Quantile Regression Approach

Hiroki Uematsu and Ashok Mishra ()

No 119804, 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama from Southern Agricultural Economics Association

Abstract: The objective of this study is to estimate the impact of natural amenity on farmland values in the contiguous United States using a quantile regression approach and data from the 2006, 2007, and 2008 Agricultural Resource Management Surveys. The contribution of this study is three-fold. First, we explicitly include variables representing natural amenity and soil characteristics of farmland. Second, we employ a quantile regression approach to examine potentially heterogeneous impacts of natural amenity and soil characteristics at different quantiles of farmland values. Third, we utilized data from a nationwide survey of farm household to examine findings in studies using regional data are consistent at a national scale. Our quantile regression analysis offers some insightful results. Natural amenity is positively correlated with farmland values and its impact is often more pronounced at a higher price range of farmland.

Keywords: Environmental Economics and Policy; Land Economics/Use (search for similar items in EconPapers)
Pages: 18
Date: 2012
New Economics Papers: this item is included in nep-agr, nep-env and nep-tur
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/119804/files/2012%20SAEA%20Land%20Paper.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:saea12:119804

DOI: 10.22004/ag.econ.119804

Access Statistics for this paper

More papers in 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama from Southern Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().