• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.813-816
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• 2010

최근 지속가능한 개발의 개념은 국제적으로 경제 개발과 환경 보전 사이에서 논쟁이 중심이 되고 있으며, 수자원 개발과 관리는 이들 논쟁에서 중요한 부분을 차지하고 있다. 이와 더불어 유역을 관리함에 있어 수자원을 이수, 치수 및 수질의 단일 문제로 인식하는 것이 아니라 통합적으로 인식하는 유역통합관리(Integrated Watershed Management, IWM)의 필요성이 대두되고 있다. 이에 본 연구는 유역통합관리에 앞서 유역의 상태 및 문제점을 파악하기 위한 방법으로 EEA (European Environment Agency)에서 개발한 추진력(Driving force)-압력(Pressure)-상태(State)-영향(Impact)-반응(Response) (DPSIR) 개념 이용하여 3개의 세부 지표인 이수지표, 치수지표, 수질지표로 구성된 하나의 통합 지수인 유역수자원평가지수를 개발하였다. 세부지표인 이수지표는 연속무강우일수, 인구밀도, 용수수요, 물재이용률 등 16개의 구성요소, 치수지표는 홍수범람위험 지역 내 거주 인구수, 홍수방어시설용량, 개수율, 100 mm 이상 강수일수 등 15개의 구성요소, 수질지표는 BOD (Biochemical Oxygen Demend) 부하량, 수질 등급, 연중 목표 수질 달성일수 등 13개의 구성요소로 이루어져있다. 이를 북한강 유역 중 북한 지역을 제외한 유역 즉, 수자원단위지도 상의 춘천댐권역(1010) ~ 청평댐권역(1015)의 6개 중권역에 적용하여 비교하였다. 세부지표의 주된 요소인 유출량의 모의를 위해 장기유출모형인 HSPF (Hydrological Simulation Program - Fortran)를 사용하였다. 모형에 입력된 유역평균강수량 자료는 1973년 ~ 2008년까지의 37년의 자료기간을 갖는 북한강유역의 5개 기상관측소 자료를 Thiessen network를 이용하여 산정하였다. 본 연구를 통해서 북한강 유역의 현재 수자원의 상태를 지수화하여 나타내고 그 결과를 비교해보았다. 이 결과는 유역 수자원의 파악하여 유역통합관리시 유역의 문제점을 파악하고 이를 수정하기 위한 의사결정 우선순위를 정하는데 사용될 수 있다.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.4
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• pp.41-54
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• 2021

This study targets the urban park corresponding to the core areas (Hubs) of Green Infrastructure and estimates their value utilizing the Contingent Valuation Method (CVM) and determines the planning factors which affect them. The research aims to provide basic data for supporting the value improvement in the planning stage for urban parks representing green infrastructure. The primary purpose of this research is to derive variables that affect economic value and planning factors to improve the use-value of urban parks, one of the Hubs of the green infrastructure. In this study, Sejong Lake Park, located in Sejong City, is the target site. This study collected the responses of 105 people by conducting a survey on the intention to pay for the use-value and the planning factors that affect it, targeting visitors to Sejong Lake Park. The study conducts Contingent Valuation Method (CVM) on this survey responses. The results are as follows: first, as a result of analyzing the variables which affect willingness to pay for use-value, residence and age influence the willingness to pay significantly among socioeconomic characteristics. Next, the survey responses of Double-bounded dichotomous choices (DB-DC) CVM are converted into variables through statistic techniques. Furthermore, the variables are used for a Logit model to draw coefficients. The average willingness to pay per person for the use-value of Sejong Lake Park using the derived coefficients was approximately found to be 8,597 won. Therefore, as of 2019, Sejong Lake Park, with a total of 430,000 visitors, is estimated to have an annual economic value of 3.7 billion won. Third, the average Likert scale of the planning factor affecting the decision to pay for the economic value of Sejong Lake Park was the highest along the waterfront landscape, and the convenience facilities and waterfront landscape showed the highest willingness to pay, 10,000 won. In the range between 2,500 won and 5,000 won, the waterfront area ranks highest. Therefore, it can be said that visitors to Sejong Lake Park take account of the economic value of using the waterfront landscape the most. This study is meaningful as a thesis on use-value and the planning factors that affected value evaluation results of urban parks, and the analysis of the correlation between the planning factors of urban parks as hubs located in urban areas.

• The Research Journal of the Costume Culture
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• v.10 no.3
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• pp.248-260
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• 2002

The purpose of this study were 1) to examine underlying dimensions of two aspects of attitudes - cognitive beliefs and consumption feelings of well-known name brand apparel and 2) to examine predictiveness of those two variables in predicting buying intentions of well-known name brand apparel. The data were collected through questionnaire from convenient samples of 207 female college students. Statistical analysis of factor analysis, t-test and multiple regression analysis were performed in analysing the data. The major findings were as fellows: 1. The dimensions of evaluation criteria of well-known name brand apparel were design/brand name, clothing construction, and practicality. 2. The dimensions of consumption feelings were pleasure/confidence, active and regret. 3. In predicting buying intension of name brand apparel, consumption feelings fecund to be as more robust predictors than cognitive variables.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.119-136
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• 2012

The goal of this study is to apply the IPCC(Intergovernmental Panel on Climate Change) concept of vulnerability to climate change and verify the use of a combination of vulnerability index and fuzzy logic to flood vulnerability analysis and mapping in Seoul using GIS. In order to achieve this goal, this study identified indicators influencing floods based on literature review. We include indicators of exposure to climate(daily max rainfall, days of 80mm over), sensitivity(slope, geological, average DEM, impermeability layer, topography and drainage), and adaptive capacity(retarding basin and green-infra). Also, this research used fuzzy model for aggregating indicators, and utilized frequency ratio to decide fuzzy membership values. Results show that the number of days of precipitation above 80mm, the distance from river and impervious surface have comparatively strong influence on flood damage. Furthermore, when precipitation is over 269mm, areas with scare flood mitigation capacities, industrial land use, elevation of 16~20m, within 50m distance from rivers are quite vulnerable to floods. Yeongdeungpo-gu, Yongsan-gu, Mapo-gu include comparatively large vulnerable areas. This study improved previous flood vulnerability assessment methodology by adopting fuzzy model. Also, vulnerability map provides meaningful information for decision makers regarding priority areas for implementing flood mitigation policies.

• Environmental and Resource Economics Review
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• v.14 no.1
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• pp.1-24
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• 2005

One of the most important factors that determine the quality of a stated preference study is questionnaire design. This study introduces strategies for enhancing the rationality and testing for the validity of choice experiments(CE) using "example" choice questions that mimic the main choice questions. From the case study of WTP for reduced radon radiation exposures in the home, the study found that screening out irrational responses, 12% of the effective responses, resulted in a meaningful increase in model fit. Meanwhile the study tested for anchoring effects, as a way of confirming the divergent validity of the study, by looking at equality of models estimated for two subsamples. The overall test results were mixed. The pros and cons of the questionnaire design strategy employed are also reported.

• The Journal of Korean Society for School & Community Health Education
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• v.25 no.2
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• pp.59-70
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• 2024

Objectives: The purpose of this study is to analyze each country's infectious disease response capacities and, based on this, find areas for improvement in Korea's infectious disease management response. Methods: First, the capacity to respond to the COVID-19 infectious disease was analyzed by country using the SPAR scores of 96 countries around the world released by WHO in 2022. Second, we analyzed each country's specific COVID-19 quarantine performance using Our World in Data and the Global Health Security Index (GHSI). Results: First, the quarantine intensity index on January 24, 2021 was the highest in the Southeast Asia branch at 67.6, which had strong quarantine measures, and the lowest at 44.5 in the Africa branch. As of December 31, 2022, the quarantine intensity index in Europe was significantly lowered to 11.6. Second, the factor that influenced the SPAR indicator on the total number of patients per million population was national laboratory (C4), p=.027, and the factor that influenced the total number of deaths per million population was infection prevention and control (C9), p=.005., Risk Communication and Community Participation (C10) p=.040. The influential factor on GDP per capita was infection prevention and control (C9) p=.009, and the influential factor on GHSI was infection prevention and control (C9) p=.002. Conclusion: The research findings indicate that it was difficult to find a correlation between the SPAR, which is each country's self-assessment of their infectious disease capacities, and the number of COVID-19 cases or the intensity of pandemic responses. However, mortality rates, as well as factors such as the Global Health Security Index (GHSI) and national income, appear to be somewhat influenced. For future improvements in infectious disease management and response in our country, it is necessary to develop pandemic strategies that can reduce socio-economic costs based on more scientific and reliable data like JEE or GHSI, especially in preparation for potential unknown emerging infectious diseases. Based on this, proactive decision-making led by a control tower of experts and effective health communication are also required to respond to public health crises at a national level.

• Korea Trade Review
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• v.48 no.3
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• pp.1-22
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• 2023

Many major country have struggled to build a block of the secondary battery industry supply chain by considering their interests first. And their supply chain due diligence agreement mandates due diligence on human rights and environmental risks that may occur throughout the supply chain. So the integrated approach called supply chain ESG is needed. But there isn't to be a global standard for ESG yet. And the disclosure standards for each country are different, adding to companies' confusion. In this perspective, to present guidelines for establishing a supply chain ESG management strategy accompanied by Korean SMEs, this study presents environmental evaluation indicators of global secondary battery supply chain ESG customized for Korean SMEs and then performs weight analysis using AHP methodology. Through this, this study aims to suggest implications for accepting sustainability within the supply chain of Korean SMEs by presenting indicators to be considered first among environmental evaluation indicators in preparation for ESG due diligence of the global secondary battery supply chain.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.526-537
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• 2019

This study researched the effect of application systems for media industry by using machine learning method focusing on industrial organization theory. First, for applying the system successfully, formation of sympathy about needs is required. The introduction of machine learning can bring change in each stage of value chain especially, decision making process of investment and production process. In investment side, objective performance prediction data can enhance efficiency, and content diversity can decrease with concentrated investment phenomenon to secured content by the system. In production side, if the system support to make creators decrease simple repeat works, production efficiency will increase.

• Korean Journal of Culture and Social Issue
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• v.13 no.3
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• pp.89-109
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• 2007

This study is an exploratory study on stock investment behaviors of individual investors in psychological perspective. The study is based on many behavioral finance studies which overconfidence of individual investors has an effect on irrational investment decision making and investment behaviors such as excessive trading. Accordingly, this study was to investigate the factors of self-enhancement perception on confidence of investment of individual investors and to find whether these psychological biases lead to irrational investment behaviors. The results indicated that there were sex differences in the factors of self-enhancement perception on individual investors' confidence of investment. In case of male investors, they were confident of their ability of investment but in case of female investors, they were confident of optimistic expectation of return. Also, male investors were more confident of investment than female investors. In addition, the result showed that risky investment behaviors of individual investors were influenced by psychological factors such as favorable self-evaluation, confidence of self-controllability, optimistic expectation of return and confidence of investment in part. This study suggests that further researches need to search after other variables which can mediate between psychological factors and investment behaviors of individual investors.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.241-247
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• 2017

The purpose of this study was to determine the satisfaction and return impact of the Festival visitors visiting the food and art festivals in Suncheon city. which successfully hosted the Suncheon Bay Garden Expo.. In order to carry out this research, hypothesis was set up, and after the questionnaire survey was conducted for the visitors participating in the festival, empirical analysis was conducted through the survey. Also, I would like to present the implications for the tourism development process and the convergence research of the fourth industry for the garden and food tourism of the tourists coming back again in the future due to the festival. The effect of factors on festival satisfaction was found to be influential in order of tourism product, food, guide and public event program. Also products and food facilities. It was confirmed that the guide and publicity part had an influence on the revisit of the festival and also the recommendation of the festival. As a result, the attributes of satisfaction factor of Suncheon Food & Art Festival were confirmed and causality was derived because visitors' satisfaction had positive influence on behavior intention. However, the limitations of the study remain in that it does not reveal the subdivision factors of the satisfaction and perceived satisfaction in measuring the festival satisfaction.