• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.873-900
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• 2007

Non-market valuation studies tend to assume that individual households have homogeneous preferences for a non-market good to value. However, since the preferences for non-market goods, especially environmental goods are more likely to be heterogeneous by nature, it may be more appropriate to assume heterogeneous preferences for non-market goods, which may in turn may lead to reduced biases in the WTP estimation. This study investigate the extent to which individual households have heterogeneous preferences for reduced concentrations of radon, a radioactive indoor air pollutant, for road safety, and for nuclear power safety. We also analyze the effect of heterogeneity assumption on the results of model and WTP estimation. Using the choice experiments and mixed logit models, we found that allowing for heterogeneous preferences improved model fitness and that there existed heterogeneous preferences for both reduced radon concentration and road safety, albeit not for nuclear power safety. The mean WTP for reduced radon concentrations and road safety increased by factors of 2.44 and l.74 respectively with the models allowing for heterogeneous preferences.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.130-130
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• 2015

전력부문은 전력생산 및 공급과정에서 다양한 환경피해를 유발하는 등 사회적으로 많은 비용을 야기하고 있으나, 생산원가 위주의 현재의 전력가격 책정방식은 환경비용 등의 사회적비용을 제대로 반영하고 있지 못하고 있다. 이는 최적의 발전원구성 및 사회적으로 효율적인 전력공급의 장애 요인이 되고 있다. 주요 발전원에 대한 환경적 가치를 추정하기 위하여 본 연구는 주요 발전원의 전력생산을 수력발전으로 대체하는 것에 대한 지불의사액을 추정하였다. 조건부가치평가법을 적용한 결과, 원자력발전, 석탄화력발전, 가스화력발전 대비 수력발전은 상당히 높은 환경적 가치를 지니고 있는 것으로 나타났다. 따라서, 전력의 도매거래 시 수력발전의 친환경적 가치를 반영하여 향후 적절한 가격을 보장해야 할 필요가 있다.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.15-26
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• 2014

This study focus on a economic value of the Big Data technologies by real options model using big data technology company's stock price to determine the price of the economic value of incremental assessed value. For estimating stochastic process of company's stock price by big data technology to extract the incremental shares, Generalized Moments Method (GMM) are used. Option value for Black-Scholes partial differential equation was derived, in which finite difference numerical methods to obtain the Big Data technology was introduced to estimate the economic value. As a result, a option value of big data technology investment is 38.5 billion under assumption which investment cost is 50 million won and time value is a about 1 million, respectively. Thus, introduction of big data technology to create a substantial effect on corporate profits, is valuable and there are an effects on the additional time value. Sensitivity analysis of lower underlying asset value appear decreased options value and the lower investment cost showed increased options value. A volatility are not sensitive on the option value due to the big data technological characteristics which are low stock volatility and introduction periods.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.885-893
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• 2011

Visual conservation center is a facility for the preservation of visual materials such as film and digital image data, and its construction project is currently being considered. This study evaluates the economic benefit of the project using CVM (Contingent Valuation Method), the main method of nonmarket evaluation in the both domestic and foreign literature. Survey data used in the analysis was collected in seven major metropolitan cities using person-to-person interviews and a logit model is used for the econometric estimation. The economic benefit measured by a household's average willing to pay (WTP) per year is shown to amount to 8,958 won.

• Environmental and Resource Economics Review
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• v.17 no.1
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• pp.147-164
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• 2008

When measuring the value of environmental attributes of housing, the conventional Hedonic Pricing Method assumes market equilibrium. Thus each attribute is believed to be implicitly valued based on the market price. The revealed preference is the basic logic in this approach. However, if the participants in the housing market are not perfectly informed or feel vagueness regarding the attributes of the housing, the conventional Hedonic Pricing Approach could not provide relevant value of the attribute in question. A Fuzzy Regression Method is suggested to handle with the lack of information or preference uncertainty problem m the Hedonic Pricing Approach. In this paper, our main concern IS given to the fuzziness effect on the airport noise in the metropolitan areas of South Korea.

• International Area Studies Review
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• v.17 no.4
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• pp.133-153
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• 2013

This study was to estimate the economic value of Gaecheon Arts Festival in Jinju, Korea. To measure the value of the festival, improved travel cost measurement that applied new weight concept from the Travel Cost Measurement(TCM) proposed by Peares(1972) was used. The total value was evaluated to approximately 2,270.057 billion KRW. The result showed that travel cost items affecting on economic value of the festival were transportation, food and beverage, shopping, accommodation, amusement and entrance fee in order. The effect of accommodation due to the visitors' surplus was small, due to day trip participation trend??. Because accommodation, shopping and entrance fee, therefore, directly affect the regional economy, it is necessary for festival planning party to develop the program for tourist accommodation and so forth. Finally, this study will contribute to the development of local festivals through the more objective, clear comparison and measurement of economic value between local festivals using improved travel cost estimation method.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.5
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• pp.1-12
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• 2022

COVID-19 led to an increased need for mountainous urban parks in the city that can be enjoyed while moving rather than staying put. However, studies on the economic value of mountainous urban parks have been insufficient. As a result, this study investigates the economic value of Gyeyangsan, a mountainous urban park located in the city, by quantifying the value of natural resources provided to residents and analyzing the factors affecting these values. The results are summarized below. First, according to the economic value assessment of Gyeyangsan, the use value was 2,210 won per person or 4.42 billion won per year, and the preservation value was 6,182 won per household, or 129.37 billion won. Gyeyangsan's total assets value was assessed as 3.68 trillion won. Second, according to the estimates of the willingness to pay and the determinants for the use-value, the frequency of visits, age, and use satisfaction significantly impacted the intention to pay for the use-value. Third, according to the estimates of the willingness to pay and the determinants for the preservation value, the intention to revisit, volunteer participation, educational level, gender, and residence significantly influenced the intention to pay for the preservation value. According to the findings of this study, it will be possible to make crucial policy implications when setting a direction for future park management by presenting a practical policy plan for the maintenance of mountain parks in downtown areas and will broaden the scope of research.

• Environmental and Resource Economics Review
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• v.28 no.4
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• pp.645-673
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• 2019

The hypothetical nature of stated preferences can lead to a hypothetical bias that might work as a normative pressure, influencing survey responses. This paper aims to test the impact of social desirability bias by comparing economic estimates based on both subjective and objective valuation questions. The case study is about an urban riverine restoration project in Deajeon, South Korea. As valuation methods both contingent valuation and choice experiments were comparatively applied. Based on a nationally representative sample of 1,000 respondents, the test results offered contrasting conclusions between two test approaches. Accroding to the estimation results based on the conventional valuation, the marginal willingness to pay estimates are 10,500 KRW from CV; and 18,600 KRW for improving water quality, 2,200 KRW for the inside view, 8,900 KRW for the outside view, and 5,800 KRW for biodiversity from CE. A segmentation-based approach is a conventionally used method, which showed a limited impact of social desirability on willingness to pay estimates. The alternative parameterization-based approach measures a model-wide impact of social desirability, proving a significant bias. Although the study positioned a cheap-talk statement before the valuation section of the survey questionnaires, which might have pre-screened the bias, the overall implications of the results suggest a caution in reducing and observing hypothetical bias. There might remain a significant and substantial hypothetical bias even after cheap-talk, particularly in situations with strong social desirability, so that the potential role of objective valuation questions is guaranteed.

• Journal of the HCI Society of Korea
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• v.11 no.1
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• pp.11-19
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• 2016

This study aimed to assess the economic value of the UX design and applied contingent valuation method (CVM) to the three smartphone screen unlock interface types: touch, fingerprint, and iris recognition. The contingent valuation method was chosen from various economic valuation approaches because the interface components such as the screen unlock are important user experience values but non-market goods which are not traded independently. Using the double-bounded dichotomous choice approach of the contingent valuation method, the survey results of the logit model showed that the economic value of touch unlock interface was 529 won, fingerprint was 4,214 won, and iris recognition was 1,316 won. That is, the fingerprint interface had the highest economic value, followed by iris recognition and touch interface. The main contribution of this research is that we examined a method for economic valuation of the UX design and generated systematic and credible results.

• Management & Information Systems Review
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• v.33 no.2
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• pp.301-315
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• 2014

The purpose of this study is to estimate the economic value of the Kumjung Mountain, using a Individual Travel Cost Model(ITCM). This paper compares Poisson and negative binomial count data models to measure the tourism demands. Interviewers were instructed to interview only individuals. So the sample was taken in 700. A dependent variable that is defined on the non-negative integers and subject to sampling truncation is the result of a truncated count data process. The results suggest that the truncated negative binomial model is improved overdispersion problem and more preferred than the other models in the study. This study emphasizes in particular 'travel cost' that is not only monetary cost but also including opportunity cost of 'travel time'. According to the truncated negative binomial model, estimates the Consumer Surplus(CS) values per trip of about 60,669 Korean won and the total economic value was estimated to be 252,383 Korean won.