• Journal of Korea Water Resources Association
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• v.40 no.7
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• pp.503-510
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• 2007

In the area of such a nature-friendly stream improvement, it is not established yet which engineering method is suitable for stream environment, due to lack of technology. Therefore, although nature-friendly stream improvement was done with expensive engineering method, the effect has not been fully confirmed, which results from the absence of overall valuation tool of stream improvement. In this regard, it is necessary to develop and apply comprehensive and diverse valuation methods covering stream functions to the analysis of stream improvement. In this study, we collected data from years' of monitoring on the Gyeongcheon river, which is located in Sunchang-eup, Jeollabuk-do and recently underwent an nature-friendly stream improvement work. Based on the data, we developed a series of valuation methods such as stream naturalness evaluation, life cycle evaluation, amenity evaluation, and economic benefit analysis to consider the environmental function of stream from a comprehensive perspective. Stream naturalness evaluation is a quantitative analysis of how natural a stream is, and includes additional valuation items such as ecosystem and water quality for the purpose of overall valuation, unlike existing research focusing on physical elements and structural characteristics of a stream. We developed a method of stream valuation with life cycle assessment to river reorganization project. Amenity evaluation method was developed as a means to analyze residents' satisfaction with stream improvement through questionnaires. Economic benefit analysis was developed as a means to determine the attributes of environmental water supply, ecosystem, river maintenance, and water quality and predict economic benefits using contingent valuation method (CVM) and multi-attribute utility analysis (MAUA) method in order to analyze economic benefits brought in by stream improvement. It is considered that the four methods developed in this study make possible to conduct an overall and quantitative analysis of stream improvement.

• JOURNAL OF ELECTRICAL WORLD
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• no.12 s.144
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• pp.42-48
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• 1988

• JOURNAL OF ELECTRICAL WORLD
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• no.11 s.143
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• pp.27-32
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• 1988

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.106-106
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• 2018

Ecosystem service valuation is a crucial step for the sustainable management of watershed. In the context of various ecosystem services provided by watershed, this study, particularly deals with water yield computation in Bagmati Basin of Nepal. The water availability per population in Bagmati Basin is lowest compared to other basins in Nepal. Also, the rate of urbanization is rapidly growing over a decade. In this regard, the objectives of this study are 1) to compute the total water yield of the basin along with computation on a sub-watershed scale, and 2) Study the impacts of land use change on water yield based on CLUE-S model. For the study, Integrated Valuation of Environmental Services and Tradeoffs (InVEST), a popular model for ecosystem service assessment based on Budyko hydrological method is used to compute water yield. As well, CLUE-S model is used to study land use change, which is further related to study variation on water yield. The sub-watershed wise outcome of the study is expected to provide the guidelines for the effective and economic management of a watershed on a regional scale.

• Environmental and Resource Economics Review
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• v.12 no.4
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• pp.545-557
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• 2003

A new semiparametric estimator of a dichotomous choice contingent valuation model is proposed by adapting the well-known density weighted average derivative of the regression function. A small sample behavior of the estimator is demonstrated very briefly by a simulation and the estimator is applied to estimate the WTP for preserving the Dong River area in Korea.

• 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.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.231-240
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• 2017

Although the value of technology is evaluated by various methods, the result of technology valuation is different from evaluator and evaluation methods. Also the uncertainty on the result occurs with respect to the evaluation factors and evaluation model which should be considered. In the case of lack of data or comparison target, the credibility of the technology valuation result could be unsure. To decrease uncertainty of the technology valuation, Fuzzy concept and Fuzzy Comprehensive Evaluation method are applied instead of using existing methods which evaluate technology value(level) by the number. In the research, we firstly devide evaluation criteria into technology value factor and business value factor and evaluate the technology level for micro pressure wave reduction technology which has been developed in Korea. Technology value factor is marked as high level with 46%, and business value factor is very high with 44%, and the overall level of technology is evaluated between very high and high. It helps to compare to other technology in the rivalry by the factors as it can evaluate the value of technology by factors. The technology valuation method which is applied in this research is expected to use on analyzing technology level of new technology or alternative technology in many different field.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.418-429
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• 2012

In this research, we analyzed empirically whether the valuation and compensation factor being moderating variable played the role of adjuster between KMS adoption factor(organizational factor, knowledge Informational factor, user factor) and business performance. The results of this research are as follows. First, The valuation and compensation factor affects the usage of KMS in case of organization's flexibility, trust, suitability of knowledge, degree of functional provision and perceived benefit. But it does not affect the usage of KMS in case of easiness of usage and user expertise. Second, The valuation and compensation factor affects the user's satisfaction of KMS in case of organization's flexibility, trust, degree of functional provision and user expertise. But it does not affect the user's satisfaction of KMS in case of suitability of knowledge, easiness of usage and perceived benefit.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.301-314
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• 2010

The digital content industry, purred by the growth of high technology content digitization is growing in demand for content technology. The development of the digital content industry and competitive technology ensure that superior digital content is essential. National policy development through business support enables the digital content industry to pursue technology development, transfer and trade, export and industrial use of digital content and value creation to maximize the time required for project. To this end, significant public and corporate funds to strengthen competitiveness for digital content on research and development. Companies perform research and development for effective decision-making, and invest in an archive to check the efficiency and soundness of technology valuation systems in place. This research studies the development of digital content, technology, and the old methods of technology commercialization to facilitate the growth and development of digital content throughout the business world. In order to assess the value of this support, a technology valuation framework has been developed and applied to this case to validate its usefulness.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.48-58
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• 2021

For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.