• Journal of Korea Planning Association
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• v.54 no.5
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• pp.76-90
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• 2019

The purpose of this study is to analyze the survival characteristics of the restaurant business by trade area type (major and side street). By the increase of the unemployment rate, the new foundation of selt-employment type is increasing. However, due to high competition and economic recession, the sustainability of new foundation is not high. Therefore, in this study, survival analysis was performed considering the individual and commercial characteristics focused on the ordinary restaurants. The major findings are as follow. First, the characteristics of parcel unit and adjacent area have a significant effect on the survival. This means the micro-scopic spatial characteristics should be considered for survival in the location choice. Second, the regional economic characteristics in trade area have a significant effect on survival. Furthermore, these characteristics are different by the trade area type. Third. the development characteristics have a different effect on survival by the building usage and trade area type. Finally, regional economic characteristics have a significant effect on survival. These results are expected to be used as basic data for commercial location selection and trade area analysis system in the private and public sectors.

• Journal of Fashion Business
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• v.14 no.3
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• pp.75-89
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• 2010

The purpose of this study is to provide information how to locate a apparel store based on target age, merchandise's type and price. Three trade areas in Seoul are chosen: Myeong-dong which is the biggest trade area in Korea; Kangnam station one of representative Kangnam trade areas; and Myeongil-Dong a neighborhood trade area. This study is mainly performed by analysing the locations of the stores in the given areas. The result shows that the main apparel stores in Myeong-dong are casual wear stores for young people with the range of mid-high price. The stores in Kangnam station trade area also sell the casual wear for young people but they are mostly mid-low priced. In the trade area of Myeongil-dong, however, there are various kinds of mid-priced apparel stores for residents of all ages. Apparel stores for formal wear, casual wear, and formal-casual wear tend to be located side by side. But other kinds do not. These results show that affinity is found in some types of apparel stores by the analysis of the next-door apparel stores.

• Journal of Fashion Business
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• v.3 no.3
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• pp.1-14
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• 1999

This study is to analyze consumer's visiting fashion trade area. The purpose of this study, focused on Taegu fashion area, Dongsungro and Bum udong, consumer's spatical beravior, fashion- life-style, clothing purchasing type and Store- Image, etc. This study targeted 580 women aged from 15 to 25 visiting fashion trade area. The methods of measuring include consumer behavior scale, fashion life style scale, clothing purchasing type scale and Stor - Image scale. In process of statistics, the frequency was used to measure consumer's spatical behavior, MANOVA to measure, fashion life style and $\chi^2$ examination was employed to measure clothing purchasing type. The followings are the conclusions of this study ; 1. consumer's spatical behavior by FTA(fashion trade area) : Most people visiting Dongsungro A trade area and Bum udong trade area depart home, while Dongsungro B trade area from school. In case of Bum udong trade area, in particular, more people move from other trade area than people do in Dongsungro trade area. 2. Consumer spatical behavior means by FTA : Bus is far most common transportation. 3. The purpose of visit by FTA : Most people visit Dongsungro B trade area for shopping, while Bum udong trade area for shopping and as a place for appointment. 4. The visiting frequency by FTA : In case of both Dongsungro A.B trade area and Bum udong trade area, at least once a week is most common. Particularly in case of Bum udong trade area, the number of people visiting once every three months and once more than six months is almost same. 5. A company by FTA : People accompanied by the same sex friends are most common in Both Dongsungro A, B trade area and Bum udong trade area in case of Dongsungro B trade area. There is no case of people accompanied by family. 6. The purpose of purchasing fashion comodities by FTA : In case of Dongsungro A trade area for recreation. In case of Dongsungro B trade area and Bum udong trade area, because of affordable price. 7. A Brand - pursued tendency by FTA : Much higher in Dongsungro trade area than Bum udong trade area, among consumers. A character - pursued tendency by FTA : Higher in Dongsungro A than Dongsungro B,A practical tendency and symphatetic tendency Higher in Dongsungro B than Dongsungro A or Bum udong trade area. 8. A Store - Image scale by FTA : The quality of goods is more important to consumers in Dongsungro B than to consumers in Dongsungro A. The data - service and atmosphere are much more important to consumers in Dongsungro B than to consumers in Dongsungro A and Bum udong trade area. The convenience is more important to consumers in Dongsungro B Bum udong trade area than to consumers in Dongsungro A. 9. There is no significant difference among clothing purchasing types by FTA.

• International Journal of Costume and Fashion
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• v.12 no.1
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• pp.29-48
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• 2012

The purpose of this study was to examine the relationship between consumer spatial behavior and consumer characteristics based on trade area selection criteria 469 female consumers who lived in the two new towns near Seoul, Bundang and Ilsan, participated in the study by completing questionnaires. Data were analyzed by using cluster analysis, ANOVA, Duncan's multiple range test, chi-square analysis, etc. The findings of the empirical research were as follows: 1. Five groups were identified by cluster analysis based on trade area selection criteria of clothing price-oriented group, time convenience-oriented group, shopping convenience-oriented group, variety/entertainment-oriented group, and passive shopping group. 2. Each group differed in spatial behavior such as clothing shopping area, the visiting frequency, and spatial movement type. 3. Each group showed differences in fashion involvement and demographic characteristics(age, marital status, education, occupation and social status).

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.1
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• pp.141-147
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• 2009

A analysis on the spatial features is required for exploratory spatial data analysis of information about space location(population ecological factor, social ecological factor) to manage the store factors, the service industry, etc. Therefore, the purpose of this study is to provide correlation analysis method between the types of service trade using dependence between spatial objects on the geographical space and statistical correlation and to analyze the spatial features through the deduction of correlation analysis between the types of the neighborhood trade area.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.2
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• pp.164-171
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• 2007

This research used GIS spatial analysis model and Huff probability model and achieved trade area analysis of area center. we constructed basic maps that were surveyed according to types of business, number of households etc. using a land registration map of LMIS(Land Management Information System) in Bokdae-dong, Cheongju-si. Kernel density function and NNI(Nearest Neighbor Index) was used to estimate store distribution center area in neighborhood life zones. The center point of area and scale were estimated by means of the center area. Huff probability model was used in abstracting trade areas according to estimated center areas, those was drew map. Therefore, this study describes method that can apply in Huff probability model through kernel density function and NNI of GIS spatial analysis techniques. A trade area was abstracted more exactly by taking advantage of this method, which will can aid merchant for the foundation of small sized enterprises.

• The Journal of Fisheries Business Administration
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• v.32 no.1
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• pp.125-149
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• 2001

The study tries to suggest policy proposals for enhancing competitiveness of our country as the base of fisheries logistics in East-North Asia. The study strongly recommends the adoption of the system of fisheries free trade area(FTA) to achieve the object under the analysis of structure of international fisheries trade in East-North Asian countries.

• East Asian Economic Review
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• v.17 no.1
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• pp.3-25
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• 2013

This paper evaluates whether the proposed FTAAP is a desirable policy option for APEC member economies and the world economy. More specifically, this paper qualitatively investigates whether the FTAAP satisfies conditions for a trade bloc to generate positive and sufficient net trade creation effect. In addition, this paper estimates the likely impact of the FTAAP by using a CGE model analysis. From the qualitative analysis based on statistical data, this paper strongly argues that the FTAAP can be a desirable regional trade bloc able to generate positive gains from freer trade. From the ex-ante scenario analysis using both static and capital accumulation CGE Models, this paper concludes that the FTAAP has great potential for improving welfare of participating APEC economies and will boost economic growth in the region. In particular, the FTAAP would be even better if it can be linked with liberalization of trade in services and enhanced trade facilitation.

• Korea Trade Review
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• v.46 no.3
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• pp.25-44
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• 2021

This paper analyzes the impact of the recent change in global value chain on the productivity of manufacturing sectors and firms in Chungnam area using ADB MRIO. Forward participation significantly increases sector productivity in Chungnam area and backward participation affects the sector productivity after 2015. In the analysis for firm productivity in Chungnam area, GVC participation does not enhance the productivity of firms in Chungnam area. However, firms in the top 25% of productivity in 2007 improved their productivity with higher GVC participation and the productivity of firms in the top 25% of asset in 2007 was positively affected by forward pariticipation and negatively affected by backward participation. The productivity of firms that were in international market in 2007 was significantly worsened by GVC participation.

• Journal of Distribution Science
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• v.15 no.6
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.