The Effects of Urban Development Pressure on Agricultural Land Price: Application of a Mixed GWR Model
Dong-Woo Kang,
Mi-young Kim,
Deok-ho Cho and
Seong-woo Lee
Journal of Rural Development/Nongchon-Gyeongje, 2010, vol. 33, issue 4, 21
Abstract:
This study examines the effects of urban development pressure on agricultural land prices in Korea. It investigates the determinants of agricultural land prices, focusing particularly on urban planning variables on agricultural land use. Since agricultural land price is in general closely related to the spatial characteristics of an area, it adopts a mixed GWR (geographically weighted regression) model in order to identify local and global effects of independent variables on agricultural property values. Results of a mixed GWR model prove to be superior to those of a global model (OLS) and standard spatial econometrics models (SAR, SEM, SAC) in terms of model fits and stability of the parameters estimated. The model notes that spatial dependency and heterogeneity are particularly important in examining the variations of agricultural land price. The empirical results provide strong evidences that such factors as man-made and natural features are closely relevant in determining agricultural property values.
Keywords: Community/Rural/Urban Development; Land Economics/Use (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/174483/files/33_4_3.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:jordng:174483
DOI: 10.22004/ag.econ.174483
Access Statistics for this article
More articles in Journal of Rural Development/Nongchon-Gyeongje from Korea Rural Economic Institute Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().