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Building a spatial statistical analysis framework for monitoring the haphazard land use tendency due to the footloose locations of manufacturers in unurbanized areas
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공장 개별입지로 인한 난개발의 공간통계학적 모니터링기법 개발 : 비도시지역을 중심으로

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Type
Academic journal
Author
Lee, Gyoung-Ju (한국교통대학교) Kweon, Ihl (한국교통대학교)
Journal
The Korean Regional Development Association Journal of The Korean Regional Development Association Vol.25 No.2 KCI Accredited Journals
Published
2013.6
Pages
89 - 114 (26page)

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Building a spatial statistical analysis framework for monitoring the haphazard land use tendency due to the footloose locations of manufacturers in unurbanized areas
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The introduction of semi-agricultural zoning system in 1994 is regarded as one of the primary causes of promoting haphazard land uses at the urban fringe, which created negative externality(e.g., the water pollution due to the illegal discharge of waste material). Especially, the spatially clustered footloose locations of individual manufacturers aggravated the problems. For this reason, there is a general consensus about the need for institutionally collectivizing those individually established factories by designating semiindustrial complex. To make the policy efforts effective, it is helpful to monitor the clustering patterns over time to find out when and where to concentrate the limited public resources for policy actions before the problems worsen. The objective of this paper is to build a spatial statistical analysis framework for monitoring the haphazard land use tendency attributed to the clustering of footloose locations of manufacturing firms at the urban fringe. The analysis framework comprises of two processes. One is to apply Bernoulli model for estimating the degree of spatial clustering and the other is to join Shewart chart method to the spatial clustering measures to monitor how spatial clustering tendency had changed over time. The monitoring framework was applied to the City of Hwaseong, Gyeonggi-Province, Korea. It was discussed that the proposed framework made it possible for timely policy actions(e.g., the designation of semi-industrial complex) to be taken by identifying the time signaling alarms when the overall tendency of spatial clustering reaches some statistical thresholds and indicating any associated potential problems. Additionally, the factory locations contributed significantly to alarming the signal can be visually pinpointed, where the policy priority is to be put in allocating limited public resources.
#준농림지제도(Semi-Agricultural Zoning System) #공장 개별입지(Footloose Locations of Individual Manufacturers) #외부불경제(Negative Externality) #공간통계학적 분석체계(Spatial Statistical Analysis Framework) #공간군집도(Spatial Clustering) #감시체계(Monitoring Framework)

Contents

Abstract
1. 서론
2. 공장 개별입지 난개발 모니터링 도구 구축방안
3. 실증분석 및 정책적 함의 도출
4. 결론
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