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Subject

Analysis on Influence Factors for Apparel Retail Sales Considering Spatial Autocorrelation
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공간자기상관성을 고려한 의류 소매업 매출액 영향요인분석

논문 기본 정보

Type
Academic journal
Author
Jung, Eun-Ae (Hanyang University) Sung, Hyun-Gun (Chungbuk National University) Rho, Jeong-Hyun (Hanyang University)
Journal
Korea Planning Association Journal of Korea Planning Association Vol.50 No.5 KCI Excellent Accredited Journal
Published
2015.8
Pages
215 - 231 (17page)
DOI
10.17208/jkpa.2015.08.50.5.215

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Analysis on Influence Factors for Apparel Retail Sales Considering Spatial Autocorrelation
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Abstract· Keywords

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The purpose of this study is to empirically analyze the influence factors of apparel retail sales considering spatial autocorrelation in Seoul city, focusing on demographic, land use, accessibility and location factors. The spatial lag model(SLM), overcoming the problem of spatial autocorrelation, is finally employed as the model for it. The major findings are as follows: The apparel retail sales is more likely to increase as having higher ratio of woman population, higher dense employment and decreasing as having more population, higher building coverage, more diverse land use and better accessibility to subway entrance. The store count in the same line, eatery count and multiplex count also played an important role in increasing apparel retail sales. In particular, the distance measures for both intersection and university have a little influence on apparel retail sales in the traditional ordinary least square (OLS) model, but they don"t work on the SLM. In this regard, it approves that the SLM is better than the traditional OLS in explaining apparel retail sales.

Contents

Abstract
Ⅰ. 서론
Ⅱ. 이론적 고찰
Ⅲ. 지표추출 및 기술통계
Ⅳ. 분석 결과 및 해석
Ⅴ. 결론 및 시사점
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