• Environmental and Resource Economics Review
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• v.28 no.1
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• pp.61-93
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• 2019

This study is to apply Hedonic Price Method in analyzing residents' preferences for three types of urban green space (UGS, rivers, urban parks, and forests) near the apartment complexes in Seoul. Based on hedonic price function estimation results, residents in Seoul preferred for the urban amenity that was provided by the view and accessibility (in terms of both within 10 minutes and distance) of rivers and urban parks near the apartment complexes, but not forests. The annual benefits calculated using the shadow prices are about 550~600 thousand won for the urban park views and about 800 thousand won for the accessibility, which is 2-3 times higher than river views and accessibility. On the other hand, forest views and accessibility did not have significant effects on apartment prices, except the view of Bukhan mountain for the residents of Gangbuk area. Based on the empirical results, Seoul residents' preferences for urban parks would have important implications for the urban park sunset program that will be initiated from July 2020.

• Journal of Environmental Impact Assessment
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• v.20 no.5
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• pp.729-745
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• 2011

The purpose of this paper is to estimate the external diseconomies of an unwelcomed facility on the nearby houses. The facility and the area studied are Dangin-Ri power plant in Mapo-Gu, Seoul and the residential district surrounding it respectively. The nearby housing prices have been changed according to the time and circumstances of the public announcements about the reconstruction or removal plans of the plant. These price changes are regarded as the capitalized values of the external diseconomies due to the plant. This study is based on the hedonic price theory in order to estimate the diseconomies in monetary value. The tools for the estimation are four models of multiple regression with the transaction price as the dependant variable and various housing characteristics including the external effects of the plant as the independent variables. The sample analyzed is 833 house transactions for the past 5 years in the research area. The facts found are as follows; First, the most suitable functional form for the estimation is confirmed to be the linear model. Second, there are significant differences in influence on the housing values among the independent variables, that is, locational characteristics, physical features, and environmental changes with time. Third, the external diseconomy is estimated as \80,137,807 in case that the plant would be reconstructed in the underground of the present site, whereon a substitutional public park would be constructed and as \59,142,248 in case that the plant would move away.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.183-201
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• 2022

Estimating the implicit value of housing assets is a very important task for participants in the housing market. Until now, such estimations were usually carried out using multiple regression analysis based on the inherent characteristics of the estate. However, in this paper, we examine the estimation capabilities of the Artificial Neural Network(ANN) and its 'Deep Learning' faculty. To make use of the strength of the neural network model, which allows the recognition of patterns in data by modeling non-linear and complex relationships between variables, this study utilizes geographic coordinates (i.e. longitudinal/latitudinal points) as the locational factor of housing prices. Specifically, we built a dataset including structural and spatiotemporal factors based on the hedonic price model and compared the estimation performance of the models with and without geographic coordinate variables. The results show that high estimation performance can be achieved in ANN by explaining the spatial effect on housing prices through the geographic location.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.6
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• pp.654-664
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• 2003

The purpose of this study was to segment consumers based on sales promotion orientation and examine the differences between the consumer segments on shopping styles and demographics. A total of 462 responses collected from a questionnaire survey to subjects aged over 20 were analyzed. Cluster analysis on sales promotion orientation identified four groups including rational group(21%), active group(28%), insensitive group(22.1%), and interest group(28.9%) of sales promotion. MANOVA, ANOVA and $\chi$$^2$-test revealed significant differences among the four groups on shopping styles(high-quality prone, value prone, price prone. brand prone, fashion prone, hedonic shopping prone, and loyalty) and 4 demographic characteristics(i.e., age, marital status. occupation, and education). The rational group showed lower brand proneness than did other groups while the active group showed higher price and brand proneness. The interest group showed high value, brand, and hedonic shopping proneness while the insensitive group was the least engaged in shopping styles. The study developed a profile of each segment and provided marketing implications.

• Korean Journal of Organic Agriculture
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• v.30 no.3
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• pp.375-391
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• 2022

This study investigated the online transaction status of low-carbon certified fresh agricultural products and analyzed the low-carbon certified premium. For two months from March to April 2022, eight products (rice, apple, pear, sweet persimmons, paprika, tomatoes, cherry tomatoes, and lettuce) were surveyed at major online shopping malls. The low-carbon certification premium was analyzed using hedonic price analysis model. As a result of the online market survey, the low-carbon certified agricultural products were not traded in the case of rice, cherry tomatoes, and paprika. And the proportion of low-carbon certified agricultural products in the case of tomatoes and lettuce was low. As a result of the low-carbon premium analysis, of the five products that analyzed the low-carbon certification premium, four products excluding pear did not have a low-carbon certification premium. Thus, it is necessary to expand the sale of the low-carbon certified agricultural products by distributors, and various efforts to secure the premium of certified agricultural products are important.

• Journal of the Korean Society of Costume
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• v.64 no.3
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• pp.93-107
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• 2014

This study examines the differences in store service quality and relationship benefits according to clothing consumption values. This study has collected data from adult consumers in their 20s to 60s via offline and online surveys. A total of 459 survey responses were used for the final analysis. The results of this study were as follows. First, clothing consumption values were composed of 4 factors: emotional, conspicuous, individuality, and practical value. In light of the tendency of consumers' clothing consumption values, consumers have been grouped into 3 consumption groups: hedonic, practical, and practical symbolic. Second, consumers considered price policy product quality, salesperson, product assortment promotion, and convenience of store service quality in the order of importance. Regarding the relationship benefit, consumers considered psychological benefit, economic benefit, informative benefit and social benefit in the order of importance. Third, regarding the importance in service quality for clothing consumption value group, practical symbolic consumption group and practical consumption group considered price policy quality service more important than hedonic consumption group, and practical symbolic consumption group considered product assortment quality, promotion service, salesperson service, convenience of store service more important than other groups. Fourth, regarding the importance of relationship benefits for the clothing consumption value groups, practical symbolic consumption group considered informative benefit and social benefit more important than other groups. The practical symbolic consumption group and practical consumption group considered psychological benefit more important than the hedonic consumption group.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.7
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• pp.1066-1077
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• 2002

The Purposes of this study were 1) to identify the effects of clothing involvement on deal Proneness, store images related to promotions and perceived shopping value, and 2) to reveal the effects of antecedent variables on the consumer satisfaction. The data were collected from 624 female consumers living in Seoul, Korea via self-administered questionnaires and were analyzed by frequency, factor analysis, multiple regression analysis and path analysis. The results of the study were as follows : (1) Among the factors related to clothing involvement deal proneness, store images of promotions and perceived shopping values, Clothing importance, Shopping interest Fashion interest and all three factors of deal proneness had the effect on perceived hedonic shopping values. Clothing importance, Prudent purchase, Shopping interest store images related to promotions had the effects on perceived hedonic shopping values. And Prudent purchase had the positive effects and store images related to Display had the negative effects on perceived negative shopping values. (2) From the resulted of analyzing the effects of antecedent variables on consumer satisfaction, Sweepstakes/gifts proneness, store images related to Price discount/events and Display, perceived hedonic and utilitarian shopping values positive]y influenced the consumer satisfaction. Store images related to Price discount/events had the most significant effects on consumer satisfaction. From the results of path analysis, clothing involvement had the effects on consumer satisfaction indirectly through deal proneness, store images related to promotions and perceived shopping values.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.3
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• pp.83-96
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• 2004

This study was attempted to examine female consumers' cosmetics purchasing behavior of subdivided groups according to cosmetics shopping orientation in cosmetics purchasing and to suggest basic information applicable to marketing. The sample was taken from 698 women who were aged twenties through thirties living in Korea. A total of 400 questionnaires were used in the final statistical analysis using factor analysis, reliability test, ANOVA , Duncan test, and χ²-test. The results of this study were as follows: First, The dimensions of cosmetics shopping orientation were composed of hedonic shopping orientation and utilitarian shopping orientation. Second, Evaluative criteria of internet shopping mall were composed of price and promotion, convenient shopping, reputation. Third, three groups were classified after group analysis of two factors in female consumers' cosmetics shopping orientation: consumers with high hedonic shopping orientation(46.5％), consumers with low hedonic and low utilitarian shopping orientation(29.0％), consumers with high utilitarian shopping orientation(24.5％). Additionally differences of the three groups were examined according to evaluative criteria of internet shopping mall, purchase intention and demographic variables.

• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.24-40
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• 2023

Contemporary consumers' acceptance of second-hand products has been increasingly improving worldwide, especially in China. Based on the Extended Unified Theory of Acceptance and Use of Technology, we developed and empirically validated a research framework to predict consumers' motivation to use re-commerce platforms. We explored the diverse factors influencing mobile commerce usage through re-commerce platforms. Furthermore, this study investigated the role of gender differences as a factor moderating the association between several constructs and the intention to use re-commerce platforms. A total of 226 consumer responses were collected. The results indicated that hedonic motivation, performance expectancy, consumer habits, social influence, and price value affect consumers' attitudes toward re-commerce platforms. The effects of the attitude toward re-commerce platforms on the intention to use these platforms were also statistically significant. When effort expectancy, hedonic motivation, and consumer habits in re-commerce platform usage increase, male consumers' attitude toward its usage, in particular, also increases. Meanwhile, when performance expectancy, hedonic motivation, and consumer habits in re-commerce platform usage increase, the attitude toward its usage increases among female consumers. Moreover, our results indicate that the two gender groups present different characteristics regarding re-commerce platform usage. Therefore, this study offers a theoretical basis for future analyses of second-hand trade.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.68-79
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• 2008

Because local cities are different from large cities, they need to reflect their own characteristics of housing market. Thus in order to obtain useful implications for the establishing sound housing market in Jinju City, this paper investigated the characteristics of spatial distribution and determinant factors that affect apartment price in Jinju City. GIS representation of the apartments showed that most of old and small apartments were built in 'land readjustment project' areas executed in 1970s. On the contrary, new and large scale apartment complexes were built quite recently and distributed in the western and southern parts of the city. Next, in order to examine the factors which affect apartment price, this paper subtracted firstly several variables from the related studies. However in order to avoid multi-colinearity, variables were summarized by means of factor analysis. Then, setting apartment price as a dependant variable, 12 hedonic price models were established with 33 independent variables. As results, building age, floor area, accessibility to university and hospital, accessibility to arterial road, and stair-type building were turned out to be significant. These results will be used in making the supply and allocation plan of urban facilities and housing. Finally as conclusions this paper emphasized the need of periodic analysis of local housing market and establishing detailed housing information systems.