패널데이터를 이용한 대형할인점의 매출액 영향요인에 관한 연구
Study on Sales Volumes of Large Discount Stores Using Panel Data
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Rapidly growing sales amount of large discount stores change consumers' lifestyle and affect commercial structure as well as influencing regional economies a lot. In addition, the number of discount stores became sensitive issue because of increased competition for location selection between companies. Accordingly, this paper studies about discount stores' sales determinants by brand and by location while lifestyle changing large discount stores are competing for location selection. We investigated to find the relationship of large discount stores' sales amount and brand using time series - cross sectional Generalized Least Squares (GLS) method which is the analysis method using panel data that combines time series data and cross sectional data. Selected explanatory variables are sales amount, store characteristics by location that is changing by time, economic characteristic and brand characteristics for the all 192 stores that are surveyed. Using this, we analyzed the influences to sales amount by store location and brand characteristics.
Abstract
Rapidly growing sales amount of large discount stores change consumers' lifestyle and affect commercial structure as well as influencing regional economies a lot. In addition, the number of discount stores became sensitive issue because of increased competition for location selection between companies. Accordingly, this paper studies about discount stores' sales determinants by brand and by location while lifestyle changing large discount stores are competing for location selection. We investigated to find the relationship of large discount stores' sales amount and brand using time series - cross sectional Generalized Least Squares (GLS) method which is the analysis method using panel data that combines time series data and cross sectional data. Selected explanatory variables are sales amount, store characteristics by location that is changing by time, economic characteristic and brand characteristics for the all 192 stores that are surveyed. Using this, we analyzed the influences to sales amount by store location and brand characteristics.
참고문헌 (15)
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