Earticle

사이버 쇼핑몰 거래액은 그룹(형태)별로 다양한 원인에 의해서 거래액 결정이 이루어지고 있어 복잡성 을 띠고 있다. 본 연구에서는 복잡성을 띠고 있는 소매업 매출액의 제 변인들을 파악하기 위해 패널 데이 터를 이용한 연구 모형을 설정하고 이를 통해 쇼핑몰 거래액에 결정적으로 영향을 미치는 제 변인에 대 하여 조사, 분석, 검증한다. 본 연구는 4 그룹(운영 형태별로 온라인, 온․오프라인병행, 취급범위별로 종합몰, 전문몰)을 분석대상 으로 하였다. 분석기간은 2005년 1월부터 2007년 12월 까지의 자료를 이용하였고. 사이버 쇼핑몰 거래액 을 종속변수로 설정하고 종합주가지수, 사이버쇼핑몰 사업체수, 동행(경기)종합지수, 아파트매매가격지수, 고용률, 소비자물가지수를 변수로 투입하였다. 쇼핑몰 거래액 요인을 추정한 결과 동행(경기)종합지수와 사이버 쇼핑몰 사업체수는 각각 유의적인 정(+)의 영향을 미치는 것으로 나타나고 고용률은 음(-)의 영 행을 나타내는 유의적인 변수이지만 소비자물가지수와 국제유가, 종합주가지수는 거래액에 큰 영향으로 주지는 않은 것으로 나타났다.

In respect complication of group, transaction value of cyber shopping mall is composed of various factors. This paper studies focus on estimating the determinants of the transaction value of cyber shopping mall. The volume of analysis consist of 4 groups. Analyzing period be formed over a 36 point(2005. 1～2007. 12). In this paper dependent variable setting up transaction value of cyber shopping mall, explanatory(independent) variables composed of composite stock price index, the number of the consumer’s online buying behavior company, the coincident composite index, the price of international oil, employment rate, the consumer price index. The result of estimating the determinants of transaction value of cyber shopping mall provides empirical evidences of significance positive relationships between the coincident composite index and the number of the consumer’s online buying behavior company. However this study provides empirical evidences of significance negative relationships between employment rate and the consumer price index. The explanatory variables, that is, the consumer price index, composite stock price and the price of international oil are non-significance variables. Implication of these findings are discussed for content research and practices.

In this study, fixed effect model in the one-way error component regression model has been determined. Analyzing price of apartment of reconstruction of Gangnam-gu and Secho-gu in Seoul, over a 60 period point(2002. 7.29-2007. 6.29).Case of Gangnam-gu region, this study provides empirical evidences of significance positive relationships between the price of redeveloping apartments, a numerical index of apartment price, a numerical index of deposit money for the lease of a house and approval project. The number of pyeong, the unemployment rate and consumer price index, foundation of an association, disposition of management.Case of Secho-gu region, this study provides empirical evidences of significance positive relationships between the price of redeveloping apartments, the number of pyeong, a numerical index of apartment price, a numerical index of deposit money for the lease of a house, foundation of an association, approval project, disposition of management. However, this study provides empirical evidences of significance negative relationships between a rate of interest, a numerical index of house price. The unemployment rate and consumer price index using independent variables are non- significance variables. Implication of these findings are discussed for content research and practices

This Study aims to demonstrate how much flood vulnerability in urban area changed for the past 32 years by using the panel model. At the same time, this study strives to determine the primary factors and to construct an effective counter-plan by means of empirical research. After selecting research hypotheses based on considerations of issues concerning causes for urban flooding, their relevance is put to the test by conducting empirical research in individual case locations. This research verifies the four research hypotheses by using one-way error component regression model. In conclusion, this research has shown that urban land use and local characteristics act as significant flood determinants, with forests acting to reduce flood dangers. Moreover, constructing embankments can no longer represent a reliable flood control policy. The changes in future flood control policies need to incorporate local characteristics and to minimize natural destruction, so that humans and nature can coexist through environmentally friendly flood management policies.