• Title/Summary/Keyword: Economic Value Estimation

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Development of Jeju Local Food Tour Package and Economic Value Estimation based on Contingent Valuation Method (제주 향토음식을 활용한 음식관광상품 개발 및 CVM을 적용한 경제적 가치 평가)

  • Ahn, So-jung;Yoon, Ji-young
    • Journal of the East Asian Society of Dietary Life
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    • v.26 no.4
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    • pp.346-358
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    • 2016
  • Local food reflects the identity and image of a specific region. It is also a core element for determining tourists' experience of a region. The purpose of the present study was to develop a Jeju food tour package using local foods and estimate the economic value of the suggested tour package using Contingent Valuation Method (CVM). Five food tour packages were developed by researchers. In order to modify and measure the value of each package, an expert panel survey was conducted, and 'package 5' was selected as a food tour scenario for the tourist survey. A survey was conducted on 295 domestic tourists who visited Jeju within the past 10 years in order to evaluate the economic value and feasibility of the Jeju food tour package. A total fo 72.9% of respondents answered that they were willing to pay for the Jeju local food tour, and the willingness to pay (WTP) range was between ₩45,000 and ₩105,000. The primary factors correlated with WTP was food expenses, followed by leisure experience expenses, interest in local foods, education level, visit frequency and age. The WTP of the Jeju local food tour was calculated with the significantly affected factors using stepwise regression model. The result of the present study reveal that tourists' WTP increased with higher food expenses, education level, and age group. The average value of food expenses, education level, and age were substituted into the formula derived from the regression analysis, yielding 58,385.752 KRW as the WTP. The expected economic value created by exploiting the Jeju local food tour was shown to be 700 billion KRW per year, calculated by multiplying WTP of the food tour packages by the number of tourists. This study examined the feasibility and plan of the food tour package to increase the economic value of Jeju local food. In the case of the culinary tour program based on Jeju local food launching, the estimated economic effect was great. Therefore, in-depth research to merchandise the Jeju local food tour program is needed.

A Decision-making Strategy to Maximize the Information Value of Weather Forecasts in a Customer Relationship Management (CRM) Problem of the Leisure Industry (레저산업의 고객관계관리 문제에서 기상예보의 정보가치를 최대화시키는 의사결정전략 분석)

  • Lee, Joong-Woo;Lee, Ki-Kwang
    • Korean Management Science Review
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    • v.27 no.1
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    • pp.33-43
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    • 2010
  • This paper presents a method for the estimation and analysis of the economic value of weather forecasts for CRM decision-making problems in the leisure industry. Value is calculated in terms of the customer's satisfaction returned from the user's decision under the specific payoff structure, which is itself represented by a customer's satisfaction ratio model. The decision is assessed by a modified cost-loss model to consider the customer's satisfaction instead of the loss or cost. Site-specific probability and deterministic forecasts, each of which is provided in Korea and China, are applied to generate and analyze the optimal decisions. The application results demonstrate that probability forecasts have greater value than deterministic forecasts, provided that the users can locate the optimal decision threshold. This paper also presents the optimal decision strategy for specific customers with a variety of satisfaction patterns.

A Study on the Evaluation Method of Green Remodeling Considering LCA and LCC (LCA 및 LCC를 고려한 환경친화적 리모델링의 평가방법에 관한 연구)

  • Lee, Gwan-Ho;Kim, Nam-Gyu;Rhee, Eon-Ku
    • Journal of the Korean Solar Energy Society
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    • v.23 no.1
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    • pp.57-67
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    • 2003
  • This study aims to presents Evaluation Method of Green Remodeling that analyze the value of environment through expense, using the method of life cycle cost and life cycle assessment simultaneously. The results of this study are summarized as follows. Evaluation Model developed in this study can convert economical value of environment into cost by integrating. In addition, the model can apply as a useful tool to estimation of economical design alternative as well as quantification of environmental loads and costs. Evaluation Model presented In this study observe energy consumption and the environmental load emission with qualification, it can forecast effect of environmental cost that cost estimation is expected to be added to energy cost rate by being possible. Synthetically, when Estimation Model and computer program that developed in this study is applies to the construction industry; reasonable management of environmental load is convenient at each step of Green Remodeling. In addition, at preliminary design phase, practical use may be possible by reasonable yardstick about various alternatives and improvement of design alternatives likewise by grasping environmental effect.

Study to Estimate the Economic Value of Railway Services Using a Contingent Valuation Method Focusing on Tourist Train Service in Korea (조건부 가치추정법을 활용한 국내 관광열차서비스의 가치추정 연구)

  • Lee, Sang-Jae;Kim, Hyun-Koo;Ahn, Se-Young
    • Journal of the Korean Society for Railway
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    • v.20 no.1
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    • pp.120-127
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    • 2017
  • The South Korean rail authority is constructing a nationwide tourism belt by developing new rail tour routes in an effort to combine local tourism resources with rail service and to create value in regional areas. As massive financial resources are required to develop and operate such tourist trains, governing authorities are required to examine the feasibility of this project as a sound business model and to assess the public benefit and profitability of the project. In this study, the economic feasibility of the tourist trains was assessed with the contingent valuation method (CVM). According to an estimation of the willingness to pay of potential tour train passengers, the surveyed subjects were willing to pay fares that were higher than prices currently published at the time of this study, thereby demonstrating that the economic value they invest on tourist trains may be higher than published prices at the time. For instance, they were willing to pay 28.4% and 54.9% more for the O-train and V-train types, respectively, according to the study, suggesting that the quality as perceived by train passengers for tourist train services is relatively high. The study is significant in that it succeeded in quantifying the satisfaction level of tourist train passengers using quantitative data (additional funds people are willing to pay).

The Estimation and Economic Evaluation of Fisheries Benefit in Jeju Trial Sea Farm Project (제주 시범바다목장사업의 어업편익 추정과 경제성 평가)

  • Kang, Seok-Kyu
    • The Journal of Fisheries Business Administration
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    • v.44 no.3
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    • pp.29-46
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    • 2013
  • The purpose of this study is to evaluate the economic validity of artificial reefs facilities and seeds release programs in Jeju Trial Sea Farm Project for raising fishing people's revenue. The results of this study show the artificial reefs facilities and seeds release programs have net present value of 15,962.63 million won, internal rate of retrurn 13.86%, and benefit-cost of 1.912 under a 5.5% social discount rate. This suggests that in Jeju trial sea farm project, artificial reefs facilities and seeds release programs increase fisherperson's revenue.

How the Pattern Recognition Ability of Deep Learning Enhances Housing Price Estimation (딥러닝의 패턴 인식능력을 활용한 주택가격 추정)

  • Kim, Jinseok;Kim, Kyung-Min
    • 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.

Impact Analysis of an Eco-Park on the Adjacent Apartment Unit Price by Using the Hedonic Model - With a Focus on the Cheongju Wonheung-ee Park and Adjacent Apartments - (헤도닉 모델에 의한 생태공원의 인접 아파트 가격 영향 분석 - 청주 원흥이공원과 인접 아파트를 대상으로 -)

  • Ko, Hye-Jin;Yun, Ki-Bum;Shim, Young-Ju;Hwang, Hee-Yun
    • Journal of the Korean housing association
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    • v.22 no.5
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    • pp.47-57
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    • 2011
  • The purpose of this research is to demonstrate the necessity of conserving and maintaining eco-parks by estimating their economic value. Wonheung-ee Park in Sannam 3 District of Cheongju City was chosen as the subject and a quantitative estimation was conducted. The quantitative analysis utilized the hedonic price model that estimates the value of non-market goods. The summarized results of this study are follows. The subject park influenced the prices of its neighboring apartments. The most important factor was the distance between the park and the subject apartment. When the distance was longer than 400m, the impact was greatest. The quantitative assessment also showed that apartment prices and the distance between an apartment and the park had a negative relationship. When the distance increased by 1%, apartment prices decreased by 0.430%. This means that within a certain distance, the closer an apartment is to the park, the higher is the price. Demonstrating the economic value of eco-parks, this study also supports the importance of preserving eco-areas. It generally shows that when we develop a city, we should refrain destroying the ecosystem.

Performance Analysis of Economic VaR Estimation using Risk Neutral Probability Distributions

  • Heo, Se-Jeong;Yeo, Sung-Chil;Kang, Tae-Hun
    • The Korean Journal of Applied Statistics
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    • v.25 no.5
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    • pp.757-773
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    • 2012
  • Traditional value at risk(S-VaR) has a difficulity in predicting the future risk of financial asset prices since S-VaR is a backward looking measure based on the historical data of the underlying asset prices. In order to resolve the deficiency of S-VaR, an economic value at risk(E-VaR) using the risk neutral probability distributions is suggested since E-VaR is a forward looking measure based on the option price data. In this study E-VaR is estimated by assuming the generalized gamma distribution(GGD) as risk neutral density function which is implied in the option. The estimated E-VaR with GGD was compared with E-VaR estimates under the Black-Scholes model, two-lognormal mixture distribution, generalized extreme value distribution and S-VaR estimates under the normal distribution and GARCH(1, 1) model, respectively. The option market data of the KOSPI 200 index are used in order to compare the performances of the above VaR estimates. The results of the empirical analysis show that GGD seems to have a tendency to estimate VaR conservatively; however, GGD is superior to other models in the overall sense.

Estimation of carbon storage in coastal wetlands and comparison of different management schemes in South Korea

  • Byun, Chaeho;Lee, Shi-Hoon;Kang, Hojeong
    • Journal of Ecology and Environment
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    • v.43 no.1
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    • pp.61-72
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    • 2019
  • Background: Organic carbon stored in coastal wetlands, which comprises the major part of oceanic "blue carbon," is a subject of growing interest and concern. In this study, organic carbon storage in coastal wetlands and its economic value were estimated using the raw data of 25 studies related to soil carbon storage. Data were collected from three tidal flats (one protected and two developed areas) and two estuarine salt marshes (one protected and one restored area). Bulk density, soil organic matter content, and standing biomass of vegetation were all considered, with Monte Carlo simulation applied to estimate the uncertainty. Results: Mean carbon storage in two salt marshes ranged between 14.6 and $25.5kg\;C\;m^{-2}$. Mean carbon storage in tidal flats ranged from 18.2 to $28.6kg\;C\;m^{-2}$, with variability possibly related to soil texture. The economic value of stored carbon was estimated by comparison with the price of carbon in the emission trading market. The value of US $ $6600\;ha^{-1}$ is ~ 45% of previously estimated ecosystem services from fishery production and water purification functions in coastal areas. Conclusions: Although our study sites do not cover all types of large marine ecosystem, this study highlights the substantial contribution of coastal wetlands as carbon sinks and the importance of conserving these habitats to maximize their ecosystem services.

Economic Value Measurement of Local Festival Using Improved Travel Cost Method (TCM): Focused on Gaecheon Arts Festival in Jinju, Korea (개선된 여행비용차이추정법을 이용한 지역축제의 경제적 가치측정: 개천예술제를 중심으로)

  • Yu, Jung-Sub;Lee, Jae-Dal
    • 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.