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The effects of urban development pressure on agriculture land price : Application of a mixed GWR model

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Frame of Image articularly 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.
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This work was supported by Korea Research Foundation Grant (KRF-2008-B00034). Researcher, Institute of Regional Planning and Landscape Architecture, Seoul National University, Seoul, Korea. Professor, Dept. of Public Administration, Daegu University, Gyeongsan, Korea. Professor, Dept. of Agricultural Economics and Rural Development, Seoul National University, Seoul, Korea.
64 Journal of Rural Development 33(4)
I. Introduction
Determinants of agricultural land price have long been an issue among researchers. Farmland comprises the largest portion of a farming family's assets and thus, it is critically important to understand facto


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Title The effects of urban development pressure on agriculture land price
Similar Titles
Sub Title

Application of a mixed GWR model

Material Type Reports
Author(English)

Kang, Dong-Woo; Kim, Mi-Young; Cho, Deok-Ho; Lee, Seong-Woo

Publisher

Korea Rural Economic Institute

Date 2010
Journal Title; Vol./Issue Journal of Rural Development:33/4
Pages 21
Subject Country South Korea(Asia and Pacific)
Language English
File Type Documents
Original Format pdf
Subject Industry and Technology < Agriculture
Territorial Development < National Land Development

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 rest omitted)