• Journal of Soil and Groundwater Environment
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• v.17 no.2
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• pp.1-6
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• 2012

Total Economic Value (TEV) provides a framework to estimate the economic value of water resources including groundwater with multiple applications to natural resource economics and environmental economics. Crucial to the application of economic analysis to natural resources are techniques to value the resources as an economic value that is expressed in monetary terms. On the other hand, the aim of TEV estimation is to determine the economic value of water resources including 'use' with production and recreation and 'non-use' such as existence values. TEV is used to assess the economic value of water resources for the multiple goods, and environmental 'services' that are provided by a water resource and also used to assess options for water use, for example balancing production values provided by water resource use against the cost of resource degradation by that use. The value of TEV can be assessed over time where pollution or unsustainable use may reduce the economic value of an environmental asset. Therefore, values are used to assess options of resource use, sometimes leading to policies on resource conservation or allocation. In conclusion, the application of TEV would be well adjusted over Jeju Island where groundwater resources account for more than 98% water resources and the budget of water demand/supply shows disparity over the Island.

• Journal of Korea Port Economic Association
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• v.26 no.2
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• pp.58-81
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• 2010

The economic appraisal of a port remodeling project must be transparent and persuasive to the public over the entire stage of the project. A project evaluator need to be familiar with the guidelines on evaluation, and to do his best to follow the guidelines to evaluate the given project. To make the right decision on investment, the evaluator must take into consideration not only economic efficiency, but also equity issues such as income redistribution and balanced development between regions. Port remodeling projects tend to produce externalities to the environment. However, these externalities are of qualitative nature, and hard to measure in monetary terms, so these are liable to be ignored in the process of project evaluation. Two different approaches - RP(revealed preference) and SP(stated preference) have been tried to assess the value of these non-market goods. Government authorities need to set minimum guidelines which project evaluators must follow in order to make the evaluation more reliable.

• Economic and Environmental Geology
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• v.42 no.2
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• pp.133-141
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• 2009

For economic impact analysis on a R&D project of high-yield groundwater development in Jeju conducted by KIGAM from 2004 to 2007, benefit/cost ratio(BCR), net present value(NPV), and internal rate of return(IRR) were calculated by contingent valuation method(CVM), production function analysis, domestic water market analysis and technology factor analysis. Measurable direct impact parameters among the major outputs of this R&D project consisted the estimation 4 high-yield and high mineral groundwater reserve in Jeju. Annual use of the reserve by piped water and bottled water was estimated as 12.23 million ton and its monetary value was calculated as 293.4 million dollar in 2006 year value applied of 5.5% discount rate. Economic impact of this R&D project in NPV of year 2006, with applying a discount rate of 5.5%, was identified and estimated as 13.66 million dollar in NPV, 4.05 points in BCR, and 22.74% in IRR, respectively. Additional early launch benefit was 5.58 million dollar. Even increased of the 1% discount rate, NPV of this R&D project was also positive as 12.18 million dollar and BCR was 3.71.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.119-138
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• 2017

Recently, SNS has become an important channel for marketing as well as personal communication. However, cybercrime has also evolved with the development of information and communication technology, and illegal advertising is distributed to SNS in large quantity. As a result, personal information is lost and even monetary damages occur more frequently. In this study, we propose a method to analyze which sentences and documents, which have been sent to the SNS, are related to financial fraud. First of all, as a conceptual framework, we developed a matrix of conceptual characteristics of cybercriminality on SNS and emergency management. We also suggested emergency management process which consists of Pre-Cybercriminality (e.g. risk identification) and Post-Cybercriminality steps. Among those we focused on risk identification in this paper. The main process consists of data collection, preprocessing and analysis. First, we selected two words 'daechul(loan)' and 'sachae(private loan)' as seed words and collected data with this word from SNS such as twitter. The collected data are given to the two researchers to decide whether they are related to the cybercriminality, particularly financial fraud, or not. Then we selected some of them as keywords if the vocabularies are related to the nominals and symbols. With the selected keywords, we searched and collected data from web materials such as twitter, news, blog, and more than 820,000 articles collected. The collected articles were refined through preprocessing and made into learning data. The preprocessing process is divided into performing morphological analysis step, removing stop words step, and selecting valid part-of-speech step. In the morphological analysis step, a complex sentence is transformed into some morpheme units to enable mechanical analysis. In the removing stop words step, non-lexical elements such as numbers, punctuation marks, and double spaces are removed from the text. In the step of selecting valid part-of-speech, only two kinds of nouns and symbols are considered. Since nouns could refer to things, the intent of message is expressed better than the other part-of-speech. Moreover, the more illegal the text is, the more frequently symbols are used. The selected data is given 'legal' or 'illegal'. To make the selected data as learning data through the preprocessing process, it is necessary to classify whether each data is legitimate or not. The processed data is then converted into Corpus type and Document-Term Matrix. Finally, the two types of 'legal' and 'illegal' files were mixed and randomly divided into learning data set and test data set. In this study, we set the learning data as 70% and the test data as 30%. SVM was used as the discrimination algorithm. Since SVM requires gamma and cost values as the main parameters, we set gamma as 0.5 and cost as 10, based on the optimal value function. The cost is set higher than general cases. To show the feasibility of the idea proposed in this paper, we compared the proposed method with MLE (Maximum Likelihood Estimation), Term Frequency, and Collective Intelligence method. Overall accuracy and was used as the metric. As a result, the overall accuracy of the proposed method was 92.41% of illegal loan advertisement and 77.75% of illegal visit sales, which is apparently superior to that of the Term Frequency, MLE, etc. Hence, the result suggests that the proposed method is valid and usable practically. In this paper, we propose a framework for crisis management caused by abnormalities of unstructured data sources such as SNS. We hope this study will contribute to the academia by identifying what to consider when applying the SVM-like discrimination algorithm to text analysis. Moreover, the study will also contribute to the practitioners in the field of brand management and opinion mining.

• Journal of Radiation Protection and Research
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• v.33 no.2
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• pp.67-76
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• 2008

As the first comprehensive attempt at a national implementation, this study aims at assessing the external costs of major electricity generation technologies in Korea, particularly an evaluation of the impacts on human health resulting from exposures to atmospheric radiological emissions from nuclear power plants, and a monetary quantification of their damages. The methodology used for the assessment of the externalities of the selected fuel cycles has been developed by the International Atomic Energy Agency (IAEA), namely the SimPacts Model Package. The model is internationally recognized as a tool which can be applied to a wide range of fuels, different technologies and locations, for an externalities study. In this study, the relevant emissions are quantified first and then their impacts on human health are evaluated and compared. The study focused on all the nuclear power plants for the last 6 years ($2001{\sim}2006$) in Korea. With respect to nuclear power, the impact analysis only focuses on a power generation, however the front- and back-end nuclear fuel cycles are not included, namely uranium mining, conversion, enrichment, reprocessing, conditioning, etc., because these facilities are not present in Korea. The analysis results show that nuclear power in general, generates low external costs. The highest damage costs from the nuclear power plants among the 4 sites in Korea were estimated to be 3.9 mills/MWh, which is about 1/20th of the result for a similar case study conducted in the U.K., implemented through the ExternE project. This difference is largely due to the number of radionuclides included in the study and the amount of released radioactive emissions based on up-to-date information in Korea. In this study, the sensitivities of the major factors for nuclear power plants were also calculated. The analysis indicates that there was around a ${\pm}3%$ damage costs variation to a ${\pm}15%$ change of the reference population density and a ${\pm}1%$ damage cost variation to a $1{\sim}30$ meters change of the effective release height, respectively. These sensitive calculations show that there is only a minor difference when the reference costs are compared.

• Journal of Communication Design
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• v.68
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• pp.278-288
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• 2019

The purpose of this study is to analyze the effects of risk and convenience on purchase intention in the IOT market, and I want to analyze the moderating effect of emotional consumption value. In this study, two products were selected from three product groups. There are three major methods of research. First, theoretical considerations. Second, survey analysis. Reliability analysis and factor analysis were performed using descriptive statistics using SPSS. Third, we measured changes of EEG according to in - depth interview and indirect experience. As a result of the hypothesis of this study, it was confirmed that convenience of use of IoT product influences purchase intention. Risk was predicted to have a negative effect on purchase intentions, but not significant in this study. This implies that IoT products tend to be neglected in terms of monetary loss such as cost of purchase, cost of use, and disposal cost when purchasing. In-depth interviews and EEG analysis revealed that there is a desire to purchase and try out the IoT product due to the nature of the product, the novelty of new technology, and the vague idea that it will benefit my life. The aesthetic, symbolic, and pleasure factors, which are sub - elements of emotional consumption value, were found to have a great influence. This is consistent with previous research showing that emotional consumption value has a positive effect on purchase intention. In-depth interviews and EEG analyzes also yielded the same results. This study has revealed that emotional consumption value affects the intention to purchase IoT products. It seems that companies producing IoT products need to concentrate on marketing with more emotional consumption value.

• Clinical and Experimental Pediatrics
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• v.48 no.4
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• pp.369-375
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• 2005

Purpose : Many inborn errors of metabolism can be completely cured with early detection and early treatment. This is why neonatal screening on inborn errors of metabolism is implemented worldwide. In this study, a cost-benefit analysis was performed on the neonatal screening of phenylketonuria and congenital hypothyroidism in Korea. Methods : This study included 2,908,231 neonates who took the neonatal screening on phenylketonuria and congenital hypothyroidism in Korea from January 1991 to December 2003. From those neonates, the incidence rates of phenylketonuria and congenital hypothyroidism were measured. Furthermore, based on 495,000 babies born in 2002, were calculated and compared the total costs in case when neonatal screening on phenylketonuria and congenital hypothyroidism is implemented, and when not. Results : If the neonatal screening on phenylketonuria and congenital hypothyroidism is implemented, benefits far exceed costs at a ratio of 1.77 : 1 in phenylketonuria, and 11.11 : 1 in congenital hypothyroidism. In terms of wons, the present neonatal screening on phenylketonuria and congenital hypothyroidism will gain us more than 29 billion wons every year. Conclusion : This study only concerns the monetary aspects of the neonatal screening. Therefore, the benefits of the neonatal screening is underestimated by ignoring precious but not measurable values such as quality of life. However, the present neonatal screening on phenylketonuria and congenital hypothyroidism is found to be beneficial and should continue for the good of the nation as well as that of the patients.

• Health Policy and Management
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• v.17 no.2
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• pp.1-17
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• 2007

Limited coverage for health care services of National Health Insurance(NHI) in Korea has been ongoing policy issue but additional NHI financing through raising contribution or taxes in order to improve coverage faces substantial obstacles. Private health insurance(PHI) is often considered as an alternative financing source to improve coverage. Recent reform that attempted to stretch the role of PHI allowed life insurance companies to provide complementary PHI, indemnity plan which will pay for uncovered services by NHI and out-of-pocket spending for covered services. Although complementary PHI may relieve financial burden of patients, it may significantly raise NHI spending as well as total health expenditure since little out-of-pocket spending may increase utilization of health care. So far, there has not been enough discussion about concerns of potential adverse effect resulting from extended role of PHI. This study investigated potential increase of NHI spending followed by extension of complementary PHI through sensitivity analysis. The amount of NHI spending for services that would be covered by complementary PHI was calculated using 2005 NHI statistics and expected complementary PHI enrollment rate by age and sex. Expected utilization increases were obtained based on price elasticities$(-0.2{\sim}-0.5)$ from previous studies and expected coverage rate$(50{\sim}80%)$ of complementary PHI and then converted to monetary figures. Because coverage rate of complementary PHI has not been determined yet, we employed the sensitivity analysis using coverage rate of $50{\sim}80%$. Findings demonstrate that additional spending for health care services is expected to be $426{\sim}1,702$ billion won, corresponding amount payed by NHI $298{\sim}1,192$ billion won. In conclusion, since complementary PHI may raise NHI spending significantly, there should be an agreement whether this additional cost would be accountable and acceptable in our society. Potential inefficiency resulting from extended role of complementary PHI should be considered since public and private financing do not operate in isolation and there should be more discussion on proper role of PHI in Korea.

• Journal of Genetic Medicine
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• v.4 no.1
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• pp.53-63
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• 2007

Purpose : Tandem mass spectrometry (MS/MS) is effective screening test for inherited metabolic diseases. In this study, we estimate potential costs and benefits of using tandem mass spectrometry (MS/MS) to screen new borns for inherited metabolic diseases (phenylketonuria, BH4 deficiency, citrullinemia, maple syrup urine disease, propionic aciduria, isovaleric aciduria, glutaric aciduria type 1, LCHAD deficiency) in Korea. Methods : From April 2001 to March 2004, 79,179 new borns were screened for amino acid disorders, organic acid disorders, and fatty acid oxidative disorders. Twenty-eight new borns were diagnosed with one of the metabolic disorder and the collective estimated prevalence amounted to 1 in 2,800 with a sensitivity of 97.67%, a specificity of 99.28%, a recall rate of 0.05%, and a positive preditive value of 6.38%. We calculated and compared the total costs in case when neonatal screening on pheny lketonuria, BH4 deficiency, citrullinemia, maple syrup urine disease, propionic aciduria, isovaleric aciduria, glutaric aciduria type 1, LCHAD deficiency is implemented, and when not. Results : If the neonatal screening on pheny lketonuria, BH4 deficiency, citrullinemia, maple syrup urine disease, propionic aciduria, isovaleric aciduria, glutaric aciduria type 1, LCHAD deficiency is implemented, total benefits far exceed costs at a ratio of 1.40:1. Conclusion : Although, this study only concerns the monetary aspects of the neonatal screening, tandem mass spcetrometry for neonatal screening is cost-effective compared with not screening. The study appears to support the introduction of tandem mass spectrometry into a Korea neonatal screening programme for inherited metabolic diseases.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.141-156
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• 2013

Researchers in welfare services of local government in Korea have rather been on isolated issues as disables, childcare, aging phenomenon, etc. (Kang, 2004; Jung et al., 2009). Lately, local officials, yet, realize that they need more comprehensive welfare services for all residents, not just for above-mentioned focused groups. Still cases dealt with focused group approach have been a main research stream due to various reason(Jung et al., 2009; Lee, 2009; Jang, 2011). Social Security Information System is an information system that comprehensively manages 292 welfare benefits provided by 17 ministries and 40 thousand welfare services provided by 230 local authorities in Korea. The purpose of the system is to improve efficiency of social welfare delivery process. The study of local government expenditure has been on the rise over the last few decades after the restarting the local autonomy, but these studies have limitations on data collection. Measurement of a local government's welfare efforts(spending) has been primarily on expenditures or budget for an individual, set aside for welfare. This practice of using monetary value for an individual as a "proxy value" for welfare effort(spending) is based on the assumption that expenditure is directly linked to welfare efforts(Lee et al., 2007). This expenditure/budget approach commonly uses total welfare amount or percentage figure as dependent variables (Wildavsky, 1985; Lee et al., 2007; Kang, 2000). However, current practice of using actual amount being used or percentage figure as a dependent variable may have some limitation; since budget or expenditure is greatly influenced by the total budget of a local government, relying on such monetary value may create inflate or deflate the true "welfare effort" (Jang, 2012). In addition, government budget usually contain a large amount of administrative cost, i.e., salary, for local officials, which is highly unrelated to the actual welfare expenditure (Jang, 2011). This paper used local government welfare service data from the detailed data sets linked to the Social Security Information System. The purpose of this paper is to analyze the factors that affect social welfare spending of 230 local authorities in 2012. The paper applied multiple regression based model to analyze the pooled financial data from the system. Based on the regression analysis, the following factors affecting self-funded welfare spending were identified. In our research model, we use the welfare budget/total budget(%) of a local government as a true measurement for a local government's welfare effort(spending). Doing so, we exclude central government subsidies or support being used for local welfare service. It is because central government welfare support does not truly reflect the welfare efforts(spending) of a local. The dependent variable of this paper is the volume of the welfare spending and the independent variables of the model are comprised of three categories, in terms of socio-demographic perspectives, the local economy and the financial capacity of local government. This paper categorized local authorities into 3 groups, districts, and cities and suburb areas. The model used a dummy variable as the control variable (local political factor). This paper demonstrated that the volume of the welfare spending for the welfare services is commonly influenced by the ratio of welfare budget to total local budget, the population of infants, self-reliance ratio and the level of unemployment factor. Interestingly, the influential factors are different by the size of local government. Analysis of determinants of local government self-welfare spending, we found a significant effect of local Gov. Finance characteristic in degree of the local government's financial independence, financial independence rate, rate of social welfare budget, and regional economic in opening-to-application ratio, and sociology of population in rate of infants. The result means that local authorities should have differentiated welfare strategies according to their conditions and circumstances. There is a meaning that this paper has successfully proven the significant factors influencing welfare spending of local government in Korea.