이 연구는 다중회귀분석으로 서울시 프랜차이즈 커피점의 상가임대료의 결정 요인을 분석하였다. 중심지이론, 집적이론, 그리고 외부수요의 이론은 경험적 모형의 기초를 제공한다. 이 연구에서 사용된 자료는 서울시의 2,000개 상점으로 구성되었다. 연구결과로서, 이 결과는 $3.3m^2$당 커피점의 매출액, 상권의 특성, 상점의 특징이 $3.3m^2$당 커피점의 상가임대료에 영향을 준다는 것을 보였다. 커피점의 매출은 커피점의 상가임대료의 주요 결정 요인이다. 아울러, $3.3m^2$당 상가권리금과 상가보증금은 상가임대료와 정(+)의 관련성을 가지고 있다. 추가적으로, 상권의 도 소매업체의 수 및 제조업체의 수는 $3.3m^2$당 커피점의 상가임대료에 영향을 준다. 요약하면, 이 연구는 상권의 커피점의 브랜드 인지, 입지, 임차인 혼재, 그리고 $3.3m^2$당 커피점의 임대료에 영향을 준다는 것을 제시한다.
이 연구는 다중회귀분석으로 서울시 프랜차이즈 커피점의 상가임대료의 결정 요인을 분석하였다. 중심지이론, 집적이론, 그리고 외부수요의 이론은 경험적 모형의 기초를 제공한다. 이 연구에서 사용된 자료는 서울시의 2,000개 상점으로 구성되었다. 연구결과로서, 이 결과는 $3.3m^2$당 커피점의 매출액, 상권의 특성, 상점의 특징이 $3.3m^2$당 커피점의 상가임대료에 영향을 준다는 것을 보였다. 커피점의 매출은 커피점의 상가임대료의 주요 결정 요인이다. 아울러, $3.3m^2$당 상가권리금과 상가보증금은 상가임대료와 정(+)의 관련성을 가지고 있다. 추가적으로, 상권의 도 소매업체의 수 및 제조업체의 수는 $3.3m^2$당 커피점의 상가임대료에 영향을 준다. 요약하면, 이 연구는 상권의 커피점의 브랜드 인지, 입지, 임차인 혼재, 그리고 $3.3m^2$당 커피점의 임대료에 영향을 준다는 것을 제시한다.
The study has analyzed the determinants of retail rents for the franchised coffee shop with the Multi-Regression analysis in Seoul. Central place, agglomeration, and demand-externality theories provide the basis for empirical models. The data used in this study consisted of 2,000 retail units in Seo...
The study has analyzed the determinants of retail rents for the franchised coffee shop with the Multi-Regression analysis in Seoul. Central place, agglomeration, and demand-externality theories provide the basis for empirical models. The data used in this study consisted of 2,000 retail units in Seoul. As the results, the results show that coffee shop of retail sales per $3.3m^2$ and characteristic of retail trade-areas, and characteristic of coffee shop affects on the coffee shop's rents per $3.3m^2$. Coffee Shop's sales are the major determinant of coffee shop's rents. Also, coffee shop's goodwill per $3.3m^2$ and rental bond per $3.3m^2$ are positively correlated with a coffee shop's rents. Additionally, number of wholesale company and manufacturers in the retail trade-areas influences coffee shop's rent per $3.3m^2$. In summary, the study shows that coffee shop's brand identity, location and retail mix in the retail trade areas affects a coffee shop's rent per $3.3m^2$.
The study has analyzed the determinants of retail rents for the franchised coffee shop with the Multi-Regression analysis in Seoul. Central place, agglomeration, and demand-externality theories provide the basis for empirical models. The data used in this study consisted of 2,000 retail units in Seoul. As the results, the results show that coffee shop of retail sales per $3.3m^2$ and characteristic of retail trade-areas, and characteristic of coffee shop affects on the coffee shop's rents per $3.3m^2$. Coffee Shop's sales are the major determinant of coffee shop's rents. Also, coffee shop's goodwill per $3.3m^2$ and rental bond per $3.3m^2$ are positively correlated with a coffee shop's rents. Additionally, number of wholesale company and manufacturers in the retail trade-areas influences coffee shop's rent per $3.3m^2$. In summary, the study shows that coffee shop's brand identity, location and retail mix in the retail trade areas affects a coffee shop's rent per $3.3m^2$.
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
문제 정의
The purpose of this study is to identify the determinants of shop rents by using empirical data gathered from the commercial building market in Seoul and, by doing so, provide a possible explanation for the causal relationship between the determinants and retail rents.
This study also analyzed the multi-colinearity of the data. When the multi-colinearity was reviewed based on the inflation factor variable, a very large multiple-colinearity between Num-ber of retail & wholesale companies and Number of manufacturing companies was found.
This study described in detail how certain variables are related to the characteristics of franchised coffee shops and how their location affectsthe determination of the monthly rent in Seoul. For the empirical model, it established a data set utilizing the coffee shop leases in Seoul.
가설 설정
00). I decided to apply a natural logarithm to the logistic regression variable. A wide range of rents is found in coffee shops in core commercial districts, and a wide gap between retail rents when compared to advantageous commercial districts such as in the volume of foot traffic on pedestrian shopping streets were also found
제안 방법
Based on past studies and stepwise selection of variables, this study was able to build the optimal regression model shown in [Exhibit 4]. The stepwise selection of variables wasright for this occasion because the F-value was higher than values obtained from other variable selection methods.
Also, the value of mean square error (MSE) was the lowest in the 6th step. Based on the finding that the variable inflation factor (VIF) for each selected variable was less than 2, this study determined the final scaled-down model.
In order to establish the research model for thisstudy, a bi-variate scatter plot was analyzed to investigate whether the monthly rent of coffee shop had the standard distribution and to study the correlation coefficient between elements that determined the rent. The result was a plot which showed the elements determine monthly rent of coffee shop in Seoul.
When the multi-colinearity was reviewed based on the inflation factor variable, a very large multiple-colinearity between Num-ber of retail & wholesale companies and Number of manufacturing companies was found. In order to investigate this multi-colinearity, this study used a principal component analysis and Correlation analysis. The multi-colinearity was a result of the regression based on Number of retail & wholesale companies and Number of manufacturing companies.
Other studies have mostly confined themselves to investigating limited variables representing the conditions of the retail trade-areas, such as the vacancy ratio, business cycles, and economic indicators but this study builds a comprehensive shop rent decision model with more detailed data at the level of the facility. Accordingly, this study, through an empirical analysis, has proved that the monthly rent of the franchised coffee shop in Seoul is significantly affected by rental bond, goodwill, and retail sales.
The correlation analysis was carried out to investigate the relationships between the monthly rents and the independent variables. The highest correlation coefficient between the monthly rents and the rental bond was 0.
For the empirical model, it established a data set utilizing the coffee shop leases in Seoul. This study selected significant variables from among 6 variables related to the characteristics of the facility and locations using multiple regression analysis. According to the analysis, the following factors affecting the monthly rent of coffee shop were found to be significant: rental bond, goodwill and retail sales.
대상 데이터
The data set used for this study consists of 2,000 examples of retail unit lease in Seoul and the transcripts of the lists of each registered real estate agency (2014). Monthly rent per 3.
데이터처리
This study selected the adjusted coefficient of determination (adjR2) as the standard in selecting major variables, and selected the final model after considering the mean square error (MSE) and Mallows’ Cp.
이론/모형
This study centered on the franchised coffee shops among commercial real estate developmentsin Seoul, and multiple-regression analysis was utilized. The research model went through,1) verification of multi-colinearity, and 2) selection of variables to extract variables related to shop rent.
성능/효과
Through several methods of selecting variables, parameters were measured among the 9 correlation variables which are directly related to a franchised coffee shop rents. Among them only the variables representing the weight of monthly rents to total rents ratio, retail sales of shop, rental bond of shop, and goodwill of shop had reliability quotients higher than 95%. According to the adjusted coefficient of determination (adjR2) standard, a scaled-down model with step(s) more than 1 but less than 6 is preferred .
후속연구
Accordingly, this study, through an empirical analysis, has proved that the monthly rent of the franchised coffee shop in Seoul is significantly affected by rental bond, goodwill, and retail sales. Thus, this study has proved that one must consider the Characteristics of retail facilities, local economic conditions and the performance of the franchised coffee shop when developing a monthly rent decision model for franchised coffee shop. Moreover, this study finds that it is vital to develop variables and models for shop images and brand in the future.
참고문헌 (26)
Benjamin, J. D., G. W. Boyle and C. F. Sirmans(1990), Retail Leasing: The Determinants of Shopping Center Rents, Journal of the American Real Estate and Urban Economics Association, 18, pp.302-12.
Christaller, W., Translated by C. W. Baskins(1966), Central Places in Southern Germany, Englewood Cliffs, NJ: Prentice Hall.
Eppli, M. J. ; Shilling, J. D.(1996), How Critical Is a Good Location to a Regional Shopping Center?, The Journal of real estate research, v.12 no.3, pp.459-468 .
Eppli, M. J. and J. D. Benjamin(1994), The Evolution of Shopping Center Research : A Review and Analysis, Journal of Real Estate Research, 9, pp.5-32.
Gatzlaff, D. H., G. S. Sirmans and B. A. Diskin(1994), The Effect of Anchor Tenant Loss on Shopping Center Rents, Journal of Real Estate Research, 9, pp.99-110.
Ghosh, A.(1986), The Value of a Mall and Other Insights from Revised Central Place Theory, Journal of Retailing, 62, pp.79-97.
Hardin III, W. G. and M. L. Wolverton(2000), Micro-Market Determinants of Neighborhood Center Rental Rates, Journal of Real Estate Research, 20, pp.299-322.
Jeong, Seung-Young et al(2011), A Study of Retail Property Prices in Seoul, Korean Real Estate Academy Review, 46, pp.338-353.
Jeong, Seung-Young et al(2012), The Effect of Spatial and Physical Factors on Retail Unit's Prices in Seoul, Korean Real Estate Academy Review, 51, 317-330.
Jeong, Seung-Young et al(2013), The Effects of passing pedestrians Characteristics on retail rents, Appraisal studies, 20, pp.111-123.
Jeong, Seung-Young et al(2013), A Study of Modelling and Forecasting Korea's Retail Rents with VAR Models. Korean Real Estate Academy Review, 53, pp.266-277.
Jeong, Seung-Young et al(2014), The Effects of Road shop's Image on Retail Rents, Consulting research, 14(2), pp.35-52.
Jeong, Seung-Young(2015), Assessing the Impact of Pedestrian Traffic Volume on Location Goodwill, Journal of Cadastre & Land InformatiX, 45(1), pp.225-240.
Losch, A.(1940), The Economics of Location, New Haven, CT: Yale University Press.
Miceli, T. J., C. F. Sirmans and D. Stake(1998), Optimal Competition and Allocation of Space in Shopping Centers, Journal of Real Estate Research, 16, pp.113-26.
Nevin, J. R., and M. J. Houston(1980), Image as a Component of Attraction to Intraurban Shopping Areas, Journal of Retailing, 56, pp.77-92.
Reilly, W. J.(1931), The Law of Retail Gravitation, NewYork, NY : Knickerbocker Press.
Sirmans, G. S., D. H. Gatzlaff and B. A. Diskin(1996), Suffering the Loss of an Anchor Tenant, In J. D. Benjamin (Ed.), Megatrends in Retail Real Estate, Research Issues in Real Estate, Volume 3, Norwell, MA: Kluwer Academic Publishers.
Sirmans, C. F. and K. A. Guidry(1993), The Determinants of Shopping Center Rents, Journal of Real Estate Research, 8, pp.107-15.
Vernor, J., and J. Rabianski(1993), Shopping Center Appraisal and Analysis, Chicago, IL: Appraisal Institute.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.