• 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.

• 한국태양에너지학회 논문집
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• 제36권1호
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• pp.39-47
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• 2016

Geographic information system (GIS) based renewable energy resource map including potential analysis can play a crucial role not only to develop the national plan for renewable energy deployment but also to make strategic investment decision in the private sector. Korea Institute of Energy Research (KIER) has been developing domestic maps about several resources such as solar, wind, hydro, biomass, and geothermal, as well as conducting research on methodologies for potential analysis. Furthermore, the institute is trying to transfer related technologies and know-how to foreign countries, recently. In this context, the main purpose of this study is to introduce the business model of renewable energy resource map. From the value chain analysis, we focus on the government-side market in foreign countries, such as the development of the national level renewable energy resource map and the support of the national renewable energy plan. For about 180 countries, we segment the customers according to the consideration of economic capacity, renewable energy resource capacity, existence of renewable resource map, current portion of renewable energy facility capacity, and renewable energy policies, and we conclude that the target customers are non-Organization for Economic Co-operation and Development (non-OECD) countries or some OECD countries, their per capita GDP are under the average among OECD countries, that do not have renewable resource map yet. We segment the target customers into four groups, and suggest different strategies for market positioning and financing strategy based on Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis. This study can help to develop the business strategy about the development of renewable energy resource map in foreign countries.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.95-104
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• 2020

In financial economics studies, the autoregressive model has been a workhorse for a long time. However, the model has a fixed value on every parameter and requires the stationarity assumptions. Time-varying coefficient autoregressive model that we use in this paper offers some desirable benefits over the traditional model such as the parameters are allowed to be varied over-time and can be applies to non-stationary financial data. This paper provides the Monte Carlo simulation studies which show that the model can capture the dynamic movement of parameters very well, even though, there are some sudden changes or jumps. For the daily data from January 1, 2015 to February 12, 2020, our paper provides the empirical studies that Thailand, Taiwan and Tokyo Stock market Index can be explained very well by the time-varying coefficient autoregressive model with lag order one while South Korea's stock index can be explained by the model with lag order three. We show that the model can unveil the non-linear shape of the estimated mean. We employ GJR-GARCH in the condition variance equation and found the evidences that the negative shocks have more impact on market's volatility than the positive shock in the case of South Korea and Tokyo.

• 수산경영론집
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• 제38권2호
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• pp.79-101
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• 2007

The purpose of this study is to estimate the economic value of the Songieong Beach in Off-season, using a Individual Travel Cost Model(ITCM). Songieong Beach is located in Busan but far away from city. These days, however, the increased rate of traffic inflow to the Songieong beach and the five-day working week are reflected in the trend analysis. Moreover, people have changed psychological value. For that reason, visitors are on the increase on the beach in off-season. The ITCM is applied to estimate non-market value or environmental Good like a Contingent Valuation Method and Hedonic Price Model etc. The ITCM was derived from the Count Data Model(i.e. Poisson and Negative Binomial model). So this paper compares Poisson and negative binomial count data models to measure the tourism demands. The data for the study were collected from the Songjeong Beach on visitors over the a week from November 1 through November 23, 2006. Interviewers were instructed to interview only individuals. So the sample was taken in 113. 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. This paper analyzes the effects of determinants on visitors' demand for exhibition using a class of maximum-likelihood regression estimators for count data from truncated samples, The count data and truncated models are used primarily to explain non-negative integer and truncation properties of tourist trips as suggested by the economic valuation literature. The results suggest that the truncated negative binomial model is improved overdispersion problem and more preferred than the other models in the study. This paper is not the same as the others. One thing is that Estimating Value of the Beach in off-season. The other thing is 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 199,754 Korean won and the total economic value was estimated to be 1,288,680 Korean won.

• 한국IT서비스학회지
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• 제20권4호
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• pp.1-21
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• 2021

At a time when the e-commerce market is experiencing accelerated growth, with advancements in information and communications technology (ICT), the problems of distribution of counterfeit products and consumer confusion caused by non-face-to-face purchases have increased. Hence, amid intensifying competition, it has become important for e-commerce companies deliver product information more efficiently, provide differentiated services, and secure credibility for consumers by reducing consumer damage from buying counterfeit products. However, even though consumer confusion and the inadvertent purchase of counterfeit products are intensifying in such a market scenario, there are no services that aim to solve such problems. This study examines the conventional e-commerce industry in South Korea through a political, economic, social, and technological (PEST) analysis, based on in-depth interviews with consumers, to derive the pain and gain points of the industry. As a result, the inherent problems of the e-commerce industry were revealed. Through a service value network perspective, services aimed at resolving such issues were derived, and the e-commerce business ecosystem needed to solve this problem was deduced. The findings revealed that the artificial intelligence-based service support platform has become a major driving force within the e-commerce innovation ecosystem by enabling a new way to create and secure value using ICT. This entails a new exchange mechanism and transaction architecture and a new organizational structure that breaks the barriers between industries.

• East Asian Economic Review
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• 제23권2호
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• pp.169-202
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• 2019

Productivity in agriculture or services has long been understood as playing an important role in the growth of manufacturing. In this paper we present a general equilibrium model in which manufacturing growth is stimulated by non-manufacturing sectors that provides goods used in both research and final consumption. The model permits the evaluation of two policy options for stimulating manufacturing growth: (1) a country imports more non-manufacturing goods from a foreign country with higher productivity and (2) a country increases productivity of domestic non-manufacturing. We find that both policies improve welfare of the economy, but depending on the policy the manufacturing sector responses differently. Specifically, employment and value-added in manufacturing increase with policy (1), but contract with policy (2). Therefore, specialization of the import non-manufactured goods helps explain why some Asian economies experience rapid growth in the manufacturing sector without progress in other sectors.

• 경영과정보연구
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• 제31권1호
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• pp.221-246
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• 2012

본 연구는 고객중요성이 자본시장반응에 직접적인 영향을 미칠 뿐만 아니라 감사품질을 통해 간접적으로도 영향을 미칠 수 있음을 알아보기 위함이다. 또한 효과적인 기업소유구조는 소유와 경영의 분리로 발생하는 대리인문제를 완화하여 자본시장의 효율성과 기업가치를 제고하며, 감사품질에 영향을 미치는 요인으로 함께 다루어볼 필요가 있다. 이에 본 연구는 고객중요성과 기업소유구조가 감사품질 및 시장반응에 영향을 미치는지의 순차적 관련성을 검증하기 위하여 경로분석을 이용하였다. 본 연구의 실증분석결과는 다음과 같다. 첫째, 고객중요성이 감사품질에 대체로 양의 결과가 나타나 감사품질을 향상시킴을 알 수 있었다. 둘째, 기업소유구조가 감사품질에 미치는 영향은 대주주지분율이 높을수록 높은 감사품질을 선호하는 것으로 나타나지 않았고 외국인지분율의 경우는 유의성을 확인할 수 없었다. 셋째, 매개변수인 감사품질이 높을 경우 일부 변수에서 투자자들이 긍정적으로 인식하는 것으로 나타났다. 넷째, 고객중요성과 기업소유구조변수가 부분적으로 기업가치에 직접적 또는 간접적 영향을 미치는 것으로 나타나 고객중요성 및 기업소유구조는 일부 변수에서 감사품질이 향상되고, 향상된 감사품질정보를 인지한 투자자는 자본시장에서도 긍정적인 신호로 인식하고 있음을 알 수 있다. 본 연구는 선행연구에서 다루었던 비감사서비스의 제공과 감사품질, 기업지배구조와 감사품질 등의 개별적 관련성의 분석을 확장하여, 감사인독립성의 주요 요인인 고객중요성, 기업소유구조가 감사품질에 영향을 미치고, 감사품질은 시장반응에 영향을 미친다는 순차적 관련성의 분석을 통해 이들 변수간의 관련성을 구조적으로 동시에 검증함으로써 직접적인 효과뿐만 아니라 간접적인 효과까지를 실증적으로 제시하였다는데 의의가 있다. 특히, 감사품질의 관련성에 대한 연구결과가 일관적이지 않은 시점에서 가능한 정교한 방법론을 위하여 경로분석모형을 시도하여 기존의 주장들을 재검토할 수 있는 정책적 시사점을 제시한다고 판단된다.

• 산경연구논집
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• 제8권5호
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• pp.87-93
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• 2017

Purpose - This paper investigates whether managerial overconfidence is associated with firm-specific crash risk. Overconfidence leads managers to overestimate the returns of their investment projects, and misperceive negative net present value projects as value creating. They even use voluntary disclosures to convey their optimistic beliefs about the firms' long-term prospects to the stock market. Thus, the overconfidence bias can lead to managerial bad news hoarding behavior. When bad news accumulates and crosses some tipping point, it will come out all at once, resulting in a stock price crash. Research design, data and methodology - 7,385 firm-years used for the main analysis are from the KIS Value database between 2006 and 2013. This database covers KOSPI-listed and KOSDAQ-listed firms in Korea. The proxy for overconfidence is based on excess investment in assets. A residual from the regression of total asset growth on sales growth run by industry-year is used as an independent variable. If a firm has at least one crash week during a year, it is referred to as a high crash risk firm. The dependant variable is a dummy variable that equals 1 if a firm is a high crash risk firm, and zero otherwise. After explaining the relationship between managerial overconfidence and crash risk, the total sample was divided into two sub-samples; chaebol firms and non-chaebol firms. The relation between how I overconfidence and crash risk varies with business group affiliation was investigated. Results - The results showed that managerial overconfidence is positively related to crash risk. Specifically, the coefficient of OVERC is significantly positive, supporting the prediction. The results are strong and robust in non-chaebol firms. Conclusions - The results show that firms with overconfident managers are likely to experience stock price crashes. This study is related to past literature that examines the impact of managerial overconfidence on the stock market. This study contributes to the literature by examining whether overconfidence can explain a firm's future crashes.

• 기술혁신학회지
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• 제3권1호
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• pp.139-153
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• 2000

The aim of this paper is to provide a new model to evaluate the quantitative value of technology(nonfinancial benefits). This new model is based on the technology stock(technology level) ac-quired in R&D process. The model can explain the quantitative relation between the technology stock(level) and the market value of technology as considering the R&D expenditure to acquire technologies above a certain level(>70%) in comparison with the advanced country and the cost to prevent the technology obsolescence. The value of non-destructive testing technology which is one of the electric power technology is measured quantitatively as a case study.

• 한국전자거래학회지
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• 제4권2호
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• pp.41-58
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• 1999

This paper is a study on a model of economic value of transmission speed of Internet Commerce. For this research, this paper searches the factors that influence the transmission speed of Internet and suggests the model for measurement of economic value. The model adopted in this research is CVM(contingent valuation method) using in environment economics and the research area in this paper is concentrated on Internet-based Electronic Commerce. For this purpose, this paper suggests econometrics model that measures customer's payment intention for transmission speed of Internet. This model can be used as the basic tool of feasibility of investment analysis and reasonable pricing on Internet service. For the more, it will be followed empirical study and more careful comprehension for objective validity of this study.