• 자원ㆍ환경경제연구
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• 제22권1호
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• pp.147-177
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• 2013

자연환경자산의 자산가치 측정을 위한 연간 총편익은 가구당 지불의사의 추정과 아울러 수혜 모집단, 즉 시장영역에 의해 결정된다. 국내의 기존문헌에서는 조건부가치측정법(CVM)을 적용하되, 전국 가구 수를 일률적으로 비사용가치를 포함한 총편익 측정을 위한 목표 모집단으로 설정하였다. 본 연구는 전라북도 도립공원 4곳을 사례로 방문객들의 거주지 분포에 근거하여 잠재적 사용자 그룹을 시장영역으로 설정하였을 경우 연간 총편익과 자산가치 측정에 미치는 영향을 실증적으로 분석하였다. 전북지역 인근거주자들이 주를 이루는 모악산 방문객들의 지불의사 표본평균이 8,215원으로 가장 높았고, 전국에서 방문객들이 골고루 분포된 선운산의 경우 지불의사 표본평균이 4,693원으로 낮았다. 전국가구수를 목표모집단으로 적용했을 때 모악산의 연간 총편익과 자산가치가 860억원과 1조6천억원 정도로 가장 높은데 반하여 선운산은 각각 520억원과 1조원 정도로 낮았다. 반면에 잠재적 사용자 그룹을 산정하여 시장영역을 설정하였을 때, 선운산의 연간 총편익과 자산가치가 230억원과 4천억원 정도인데 반하여, 모악산은 100억원과 2천억원 정도로 선운산의 절반에도 미치지 못하였다. 나아가서 같은 도립공원에 대해서도 시장영역 설정방식에 따라 자산가치가 2배에서 8배까지 차이가 난다는 것을 실증적으로 분석하였다.

• 대한지리학회지
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• 제48권6호
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• pp.879-896
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• 2013

공시지가제 및 주택가격 공시제는 토지나 주택 거래를 위한 지가 정보나 국세 및 지방세의 과세를 위한 기초자료로 폭넓게 활용되고 있지만, 실제 시장에서는 공시가에 비해 낮은 현실화율을 보이고 있다. 본 연구는 이러한 개별공시지가와 주택실거래가 사이의 공간적 불일치에 주목하고 있으며, 특히 개별 공시가격 산정에 적용될 수 있는 임의적 공간 단위의 효과에 초점을 맞추어 다음 두 가지를 살펴보고 있다. 첫째, 개별공시지가, 주택실거래가, 그리고 이들의 가격 차이에 대한 공간적 분포를 집계구 단위를 기반으로 살펴본다. 둘째, 표준지나 표준주택에 대한 가격 산정, 나아가 개별공시지가나 주택가격에 대한 비준표 적용에 영향을 미칠 수 있는 공간 단위 임의성 문제(MAUP)의 스케일 효과를 탐색한다. 서울시를 대상으로 GIS와 통계 소프트웨어를 이용하여 분석하였고, 그 결과 주택실거래가가 개별공시지가에 비해 높은 일부 군집 지역들을 상세한 수준에서 발견할 수 있었으며, 상이한 공간 스케일에 따라 개별공시지가에 대한 지역 특성 변수들의 통계적 결과가 다르게 나타나고 있음을 실증적으로 확인하였다.

• Journal of Information Technology Applications and Management
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• 제19권1호
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• pp.1-12
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• 2012

Data mining is the process of searching and analyzing large quantities of data for finding out meaningful patterns and rules. Artificial Neural Network (ANN) is one of the tools of data mining which is becoming very popular in forecasting the future values. Some of the areas where it is used are banking, medicine, retailing and fraud detection. In finance, artificial neural network is used in various disciplines including stock market forecasting. In the stock market time series, due to high volatility, it is very important to choose a model which reads volatility and forecasts the future values considering volatility as one of the major attributes for forecasting. In this paper, an attempt is made to develop two models - one using feed forward back propagation Artificial Neural Network and the other using Autoregressive Conditional Heteroskedasticity (ARCH) technique for forecasting stock market returns. Various parameters which are considered for the design of optimal ANN model development are input and output data normalization, transfer function and neuron/s at input, hidden and output layers, number of hidden layers, values with respect to momentum, learning rate and error tolerance. Simulations have been done using prices of daily close of Sensex. Stock market returns are chosen as input data and output is the forecasted return. Simulations of the Model have been done using MATLAB$^{(R)}$ 6.1.0.450 and EViews 4.1. Convergence and performance of models have been evaluated on the basis of the simulation results. Performance evaluation is done on the basis of the errors calculated between the actual and predicted values.

• 한국의류학회지
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• 제25권1호
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• pp.25-36
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• 2001

The purpose of this study were to investigate the purchase influence of teenagers in the family by examining the evaluation of market value according to their clothing purchase style. The questionaire survey was carried out 572 high school, and middle school students in Seoul region in Feb., 2000. SPSS package program was used to analyze the gathered data. The results of the research were as follows: 1. Four types of family communication patterns were identified through cluster analyses: laissez-faires, protectives, pluralistics, consensuals. 2. Market values were classified into seven dimensions by factor analyses: user value-psychological value, performance value; payer value-payment convenience value, price value; buyer value-personalization value, service value, purchase convenience value. 3. Independent purchase was evaluated higher than joint purchase for the price value and psychological value, while joint purchase marked higher than independent purchase for the performance value, payment convenience value, service value and purchase convenience value. And there were some differences in the results of evaluation among the family communication patterns.

• Asia Marketing Journal
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• 제16권1호
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• pp.169-193
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• 2014

The earlier studies have verified that brand values have significant impact on financial values such as stock return and stock price to justify marketing costs for brand building. Except for Mizik and Jacobson (2008), however, little research has addressed what kinds of brand components composing brand values have a significant relationship with financial values. As a follow-up research of Mizik and Jacobson (2008), this research focuses on what kinds of relationships exist between the unanticipated change of each brand asset component and stock return, one of the financial values. The authors selected six brand asset components from the Korea-Brand Power Index(K-BPI) data in which 'Top of Mind,' 'Unaided Awareness,' and 'Aided Awareness' are brand awareness measures and 'Image,' 'Purchase Intention,' and 'Preference' are brand loyalty measures. Out of those six brand components, they found that unanticipated changes of 'Top of Mind,' 'Unaided Awareness,' 'Image,' and 'Preference' have significantly positive effect on unexpected stock return change. Therefore, they conclude that these four brand asset components provide incremental information in explaining unanticipated stock return.

• 수산경영론집
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• 제42권2호
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• pp.47-68
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• 2011

Values are lasting beliefs that are at the center of human behavior and not be often changed. Different values make different behaviors, and similar values form similar behaviors. Consumers' values affect not only the cognitive process but also behaviors in a powerful and comprehensive way. There have been many studies regarding prediction of consumer patterns and identification, measurement methods of values. This is because if we can accurately measure the value system, it can be used in many areas of marketing such as market segmentation, new product development, and advertisement. In case of seafood, it is also necessary to make marketing strategies by segmenting consumers based on their value systems. The objectives of this study are as follows: First, it is to find out the connection process from the properties of seafood products that consumers consider important, to the benefits, and finally to the values they pursue by applying the means-end chain theory, using the Laddering method. Second, using a two-step cluster analysis, we aim to segment seafood markets based on consumers' values and investigate characteristics of segmented markets. Based on objectives, it is expected that this study would provide informations on seafood consumers and help to establish seafood marketing strategies for producers and distributors. Analytical results of the value system using a means-end chain theory indicated that there were seven complete links, that is, ladders among fresh seafood products. In case of processed seafood products, there were total 9 complete ladders. The empirical analytical results of market segmentation according to the values showed fresh seafood products were divided into three groups. In case of processed seafood products were segmented into two groups.

• 한국동물위생학회지
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• 제23권2호
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• pp.165-170
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• 2000

This study was carried out to investigate the changes of physical and chemical properties according to the preserving periods and temperature in heat-treated market milks ($130^{\circ}C$, 2 sec). The market ilks were divided into 3 experimental groups, that is $4^{\circ}C$, $15^{\circ}C$ and $30^{\circ}C$ according to the preserving temperature during 7 days. There were analysed fat, protein, lactose, total solids, solids-not-fat, specific gravity and acid value of market milks in each experimental group. These observations indicated that heat-treated market milks ($130^{\circ}C$, 2 sec) may be acceptable physically and chemically after 7 days at $4^{\circ}C$. The results obtained were summarized as follows ; 1. Total microorganisms in market milks were found 12$\times$$10^1$ cells at 1st day Coliform and pathogenic bacteria were not detected. 2. Milk fats tended to decrease 3.69% to 3.48% according to the time lapsed in all experimental groups without concerning to the storage temperature. 3. Milk proteins were slowly decreased 3.18% to 3.13% according to the time lapsed without concerning to the storage temperature. 4. Milk lactose was slightly increased 4.41% to 4.55% in all experimental groups. 5. Specific gravity in market milks was 1.0316 to 1.0299, and showed no changes according to the preserving periods and temperature. 6. Total solids and solids-not-fat in market milks were slightly decreased 12.30 to 12.05 and 8.55 to 8.40. 7. Acid values were dramatically increased 0.1289 to 0.3116 at $30^{\circ}C$ storage group, while tended to be stable at $4^{\circ}C$ storage group for 7 days.

• 정보통신설비학회논문지
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• 제8권4호
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• pp.157-162
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• 2009

This study's purpose is to forecast the market demand of UVS (u-Transportation Vehicle Sensor) OBU (On-board Unit) of the ubiquitous Transportation. Bass model, Logistic model, and Gompertz model were used for the forecasting market demand. Firstly, this research focused on the market size for the u-T OBU. All three models were used for the market size prediction and the average values were used. The Bass model were calibrated and the market demand for the UVS OBU of the u-Transportation system were estimated using this model.

• KIEE International Transactions on Power Engineering
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• 제5A권3호
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• pp.300-302
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• 2005

We employ a new technique to account for extreme values when using the generalized autoregressive conditionally heteroskedastic (GARCH) methodology to forecast day-ahead electricity prices in New York City.

• 유통과학연구
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• 제15권2호
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• pp.59-68
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• 2017

Purpose - The year 2016 marks 20 years since the opening of Korean distribution market in 1996. After this opening, the domestic market expanded and modernized, and has grown to become an advanced distribution market with a greater range of consumer choices. On the other hand, traditional markets have waned and their management has become worse. However, traditional markets do not have economic value alone. This study examines the effects of social value in traditional market such as the value of Cultural Tourism and the value of Sharing Community with Traditional Market on Satisfaction, Loyalty and Place Attachment of the residents. Research design, data and methodology - A questionnaire was organized for this study after a hypothesis was set based on theoretical background. Verification of the hypothesis was undertaken by statistically analyzing questionnaire responses. Personal interviews were performed for this study, and a total of 300 responses were collected, of which 228 responses (76%) were from women. The survey coverage was divided into 10 regions ranging from metropolitan areas to the provincial level, and the age groups were divided into 30s to 60s to ensure diversity of the area and age. Results - To summarize the study results, through verification of the hypothesis in terms of meaningful influence, it appears the values of Cultural Tourism to Satisfaction and Loyalty are supported. On the other hand, the value of Sharing Community is only supported for Satisfaction. It appears that Satisfaction to Loyalty and Loyalty to Place Attachment are meaningful effects. The mediator effect was also reconciled through satisfaction and loyalty. Loyalty was analyzed in terms of mediating the effect of satisfaction on place attachment. Conclusions - It is noted in this study that government support is required to preserve traditional markets and renewal program. Community requires multilateral communication and the formation of effective relationships. In contrast to the economic value emphasized by large retailers, the empirical analysis of the non-economic effects of traditional markets has presented the significance of socio-cultural values in traditional markets. In the future, socio-cultural values and economic values should be integrated into more empirical studies through mutual comparison. Investigating the increase and decrease of social value in traditional markets will help the future formulation in government policy.