전 세계 해양의 대부분을 차지하는 공해는 해양바이오산업 성장에 필수적인 귀중한 해양 자원을 보유하고 있다. 이러한 글로 벌 노력의 최전선에는 한국의 공해 자원 확보 및 기초효능(기초물질) 탐사사업이 있다. 이 연구는 대중의 인식을 측정하고 프로젝트의 이 점을 정량화하여 향후 정책 결정에 대한 통찰력을 제공하고자 했다. 결과에 따르면, 연평균 지불의사액(WTP)은 3,778.8원으로, 전체 국민 으로 확장하면 약 815.4억 원에 해당하는 것으로 나타났다. 본 연구의 의미는 두 가지이다. WTP를 기반으로 공해상 해양생명자원 확보의 경제적 가치는 연간 약 815억 원에 달할 정도로 상당하다. 이는 투자에 대한 WTP를 고려할 때 향후 정책 수립을 위한 중요한 참고 자료 로 제공 가능하다. 해양생물자원에 대한 관심이 높아지고 있는 반면, 대중의 인식은 상대적으로 낮은 편이다. 그러나 본 사업은 해양바이 오산업에 필수적인 데이터베이스를 구축하고 국제 해양생물자원을 확보하는데 있어서 중요한 역할을 하고 있다. 대중의 관심과 지속적인 지원은 이 사업 뿐만 아니라 향후 정책 구현에도 매우 중요하다. 대중의 인식을 높이는 전략은 필수적이며, 연구 결과는 향후 정책 결정 에 귀중한 의견을 제공한다.

2000년 이후 급격한 생활환경의 변화와 근래에 발생한 예측 불가능한 전염병 등의 영향으로 국내․외의 여행과 이동을 자제하고 건강을 위한 야외활동은 기존에 조성되어 온 유명한 둘레길, 숲길 등의 공익적 가치가 더욱 중요하게 부각되고 있다. 본 연구는 CVM을 활용하여 충청도와 경상도를 가로지르는 숲길을 연결하는 가칭 ‘동서트레일’에 대한 환경적 가치를 추정하였다. 연구는 동서트레일을 방문한 탐방객을 대상으로 하였으며, 723부를 분석에 이용하였다. 조사대상지 를 방문한 응답자의 기본적인 이용행태는 주 2-3회 정도 운동하는 건강에 관심이 많은 사람들이며, 거주지에서 멀지 않은 곳의 숲길을 친구나 가족들과 방문하고, 1회 방문 시 약 5만원 이상을 소비하는 경향을 보이고 있다. 둘레길을 방문할 때 숲길코스에 대한 안내판이 부족하다는 것을 느끼고 있으며, 적절한 장소에 쉼터를 설치해 주기를 원하는 것으로 나타났다. 동서트레일의 보존가치를 추정하기 위한 방법은 Hanemann식 이중경계 로짓모형을 이용하였다. 동서트레일 방문자가 1회 방문 시 얻을 수 있는 환경적 가치는 30,087원으로 추정할 수 있었다. 추정된 금액을 동서트레 일 인근 직접이용권에 속한 인구로 환산하면 동서트레일의 연간 환경가치는 약 940억원으로 추정할 수 있다. CVM을 이용한 숲길에 대한 환경의 가치추정에 대한 연구는 현재까지 진행된 적이 없으며, 추정된 연구 결과는 국가 숲길 정책에 대한 타당성을 제시해 줄 수 있을 것이다.

To mitigate the environmental impacts of the energy sector, the government of South Korea has made a continuous effort to facilitate the development and commercialization of renewable energy. As a result, the efficiency of renewable energy plants is not a consideration in the potential site selection process. To contribute to the overall sustainability of this increasingly important sector, this study utilizes the Black-Scholes model to evaluate the economic value of potential sites for off-site wind farms, while analyzing the environmental mitigation of these potential sites in terms of carbon emission reduction. In order to incorporate the importance of flexibility and uncertainty factors in the evaluation process, this study has developed a site evaluation model focused on system dynamics and real option approaches that compares the expected revenue and expected cost during the life cycle of off-site wind farm sites. Using sensitivity analysis, this study further investigates two uncertainty factors (namely, investment cost and wind energy production) on the economic value and carbon emission reduction of potential wind farm locations.

The purpose of this study was to estimate the economic values of whale watching. The data used in this study were collected with 1,599 coastal tourists and the questionnaire included contingent valuation method questions. The results show that coastal tourists obtained the benefits of about KRW 15,970 from whale watching. Further analyses were conducted to check the differences of willingness to pay for whale watching based on the three variables as follows: previous experience of whale watching and participation intention in whale watching tourism, and previous experience of cruise trips. The results indicate that the respondents, who already participated or intended to participate in this type of tourism activity, were willing to pay higher than those, who did not participated or had no intention of participation, respectively. These results imply that whale watching could be a feasible alternative to the direct consumption of whale meat. Based on the study results, we provide policy and management-related implications for whale watching programs.

The Korean government has been carrying out the marine ranch development project since 1998 with the purpose of responding to the decrease in coastal fishery resources and fishery income, preparing a systematic management system for the sustainable use of fishery resources and realizing advanced fisheries power by expanding and upgrading fisheries resource development projects. In addition, the government established the Korea Fisheries Resources Agency and promoted projects for the protection and management of fishery resources by increasing basic productivity by artificially creating marine forests in areas where whitening events occur. Since the project of building marine ranches and marine forests requires immense government financial support, it is important to estimate the economic value and thoroughly evaluate the feasibility of the project. In this paper, the project of non-market economic value of the development of marine ranches and the development of marine forests was estimated. CVM (Contingent Valuation Method) was applied as a methodology for benefits estimation. Prior to the analysis, a one-on-one interview survey was conducted with participation of 512 residents and 514 residents respectively for the project of creating a marine ranch and developing a marine forest. A DBDC (Double-Bounded Dichotumous Choice) model was applied in the WTP (Willingness To Pay) analysis model and the socioeconomic variables of the surveyor, such as sex, age, education and income, were reflected in the model. The economic benefits from the two projects, namely, building of marine ranches and developing marine forests were estimated to be equal to 4,608 won and 7,772 won per household per year, respectively. According to the results of the survey, it seems that respondents think that marine forests are more valuable than marine ranches. This is as a result of ordinary citizens’ thought that the marine ranches are more cost-effective than the marine forests. The benefits estimated through this study can be used for analysis of economic feasibility prior to carrying out the project of building marine ranches and developing marine forests, and are considered to be the valuable for policy-making purposes and finding social and economic consensus.

In this study, whole crop rice samples were used to develop near-infrared reflectance (NIR) equations to estimate six forage quality parameters: Moisture, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), Ash and relative feed value (RFV). A population of 564 whole crop rice representing a wide range in chemical parameters was used in this study. Undried finely chopped whole crop rice samples were scanned at 1 nm intervals over the wavelength range 680–2500 nm and the optical data recorded as log 1/Reflectance (log 1/R). NIRS calibrations were developed by means of partial least-squares (PLS) regression. The correlation coefficients of cross-validation (R2 cv) and standard error of cross-validation (SECV) for whole crop rice calibration were 0.98 (SECV 1.81%) for moisture, 0.89 (SECV 0.50%) for CP, 0.86 (SECV 1.79%) for NDF, 0.89 (SECV 0.86%) for ash, and 0.84 (SECV 5.21%) for RFV on a dry matter (%), respectively. The NIRS calibration equations developed in this study will be useful in predicting whole crop rice quality for these six quality parameters.

Near infrared reflectance spectroscopy (NIRS) has become increasingly used as a rapid and accurate method of evaluating some chemical compositions in forages. The objective of this study was to evaluate the potential of NIRS, applied to imported forage, to estimate the moisture and chemical parameters for imported hays. A population of 392 imported hay representing a wide range in chemical parameters was used in this study. Samples of forage were scanned at 1 nm intervals over the wavelength range 680-2500nm and the optical data was recorded as log 1/Reflectance(log 1/R), which scanned in intact fresh condition. The spectral data were regressed against a range of chemical parameters using partial least squares(PLS) multivariate analysis in conjunction with spectral math treatments to reduced the effect of extraneous noise. The optimum calibrations were selected based on the highest coefficients of determination in cross validation(R2) and the lowest standard error of cross-validation(SECV). The results of this study showed that NIRS predicted the chemical parameters with very high degree of accuracy. The R2 and SECV for imported hay calibration were 0.92(SECV 0.61%) for moisture, 0.98(SECV 0.65%) for acid detergent fiber, 0.97(SECV 0.40%) for neutral detergent fiber, 0.99(SECV 0.06%) for crude protein and 0.97(SECV 3.04%) for relative feed value on a dry matter(%), respectively. Results of this experiment showed the possibility of NIRS method to predict the moisture and chemical composition of imported hay in Korea for routine analysis method to evaluate the feed value.

The aim of this study is to identify the value structure of active seniors for noodles. Noodles are the secondly most preferred and familiar food in Korea, followed by rice. And noodles also have a variety of tastes/flavors and even a variety of ceremonial characteristics. The necessity of offering proper food to seniors has recently increasing because Korea becoming an aged society. This study conducted 1:1 in-depth interviews with 30 active senior participants using the soft laddering technique, which is based on the means-end chain theory. The Implication Matrix and HVM were derived from performing content analysis. The active seniors mainly consider the ‘taste’, expecting to obtain the ‘satisfying taste’, and pursuing the ‘family affair’, ‘pleasure’, and ‘self-satisfaction’. The results of this study indicated that the taste is the most important attribute and the active seniors consider their family as well as the pleasure and satisfaction of their own. Male seniors mainly pursue the ‘pleasure’ and ‘self-satisfaction’ by satisfying their taste through considering ‘taste’ and ‘familiarity’. But female seniors mainly pursue the ‘family affair’ by ‘satisfying taste’ through considering ‘taste’. These results can be used as a basic data for developing noodle products for the elderly. This study will also contribute to the development of special care food and product concepts for the silver generation.

This study was carried out to explore the accuracy of near infrared spectroscopy(NIRS) for the prediction of moisture content and chemical parameters on winter annual forage crops. A population of 2454 winter annual forages representing a wide range in chemical parameters was used in this study. Samples of forage were scanned at 1nm intervals over the wavelength range 680-2500nm and the optical data was recorded as log 1/Reflectance(log 1/R), which scanned in intact fresh condition. The spectral data were regressed against a range of chemical parameters using partial least squares(PLS) multivariate analysis in conjunction with spectral math treatments to reduced the effect of extraneous noise. The optimum calibrations were selected based on the highest coefficients of determination in cross validation(R2) and the lowest standard error of cross-validation(SECV). The results of this study showed that NIRS calibration model to predict the moisture contents and chemical parameters had very high degree of accuracy except for barely. The R2 and SECV for integrated winter annual forages calibration were 0.99(SECV 1.59%) for moisture, 0.89(SECV 1.15%) for acid detergent fiber, 0.86(SECV 1.43%) for neutral detergent fiber, 0.93(SECV 0.61%) for crude protein, 0.90(SECV 0.45%) for crude ash, and 0.82(SECV 3.76%) for relative feed value on a dry matter(%), respectively. Results of this experiment showed the possibility of NIRS method to predict the moisture and chemical composition of winter annual forage for routine analysis method to evaluate the feed value.

Traditional wastewater research mainly focuses on 1) estimating the amount of waste entering sewage treatment facilities, 2) evaluating the treatment efficiency of sewage facilities, 3) investigating the role of sewage treatment effluent as a point source, and 4) designing and managing sewage treatment facilities. However, since wastewater contains a variety of chemical and biological substances due to the discharge of human excreta and material used for daily living into it, the collective constituents of wastewater are likely a reflection of a community’s status. Wastewater-based epidemiology (WBE), an emerging and promising field of study that involves the analysis of substances in wastewater, can be applied to monitor the state of a defined community. WBE provides opportunities for exploiting indicators in wastewater to fulfill various objectives. The data analyzed under WBE are those pertaining to selected natural and anthropogenic substances in wastewater that are a result of the discharge of metabolic excreta, illicit or legal drugs, and infectious pathogens into the wastewater. This paper reviews recent progress in WBE and addresses current challenges in the field. It primarily discusses several representative applications including the investigation of drug consumption across different communities and the management of community disease and health. Finally, it summarizes established indicators for WBE.

This study aimed to investigate the effect of using corn flakes, produced by pressurized steam chamber, on nutrient disappearance rate and energy value in three Hanwoo and three Holstein cows, implanted with a ruminal fistula. Corn flakes were categorized in 2 groups based on the chamber type: control (corn flakes produced using a steam chamber) and treatment (corn flakes produced using a pressurized steam chamber). Dry matter (DM) disappearance rate was 5.17% higher in treatment than in control (p<0.01). Starch disappearance rate was also higher in the treatment than in the control (p<0.01). Nitrogen free extract (NFE) and non-fiber carbohydrate (NFC) disappearance rates were 6.08 and 5.71% higher in treatment compared to control, respectively (p<0.01). In comparison by breed and incubation time, DM, starch, NFE, and NFC disappearance rates were higher in treatment than in control. The mean total digestible nutrients (TDN) was higher in treatment than in control (p<0.05). In comparison between Hanwoo and Holstein, TDN of corn flakes was slightly but not significantly higher in Holstein than in Hanwoo. Thus, these results indicate that the use of the pressurized steam chamber is recommended to increase the nutrient (starch, NFE, NFC etc.) disappearance rate and TDN.

인천연안은 인천광역시, 경기도 김포시·시흥시·안산시 일대로, 양식장에서 발생하는 쓰레기, 어업활동 후 버려진 어구·어망, 육상에서부터 한강을 타고 흘러오는 쓰레기 때문에 인천연안의 해양생태계의 변화가 우려되고 있다. 인천연안이 심각하게 오염되자 해양수 산부는 인천연안을 특별관리해역으로 지정하여 해양환경 자산인 해역수질을 보존하고 있다. 이러한 배경 하에서 본 연구는 인천연안 해역수질의 비시장 가치를 선택실험법(choice experiment)을 이용하여 평가한다. 이를 위해, 전국 1,000 가구를 대상으로 면대면 설문조사를 실시하였고, 속성 각각의 한계지불의사액(MWTP, marginal willingness to pay)을 추정한다. 인천연안 해역수질의 속성별 가치(가구당 연간 한 계지불의사액)를 추정한 결과, 가구당 연간 해역수질 1%p 개선의 MWTP는 75원, 동물종의 다양성 증가의 MWTP는 135원, 식물종 다양성 증가의 MWTP는 309원, 해양쓰레기 1%p 저감의 MWTP는 72원으로 나타났다. 모든 추정결과는 유의수준 1 %에서 유의한 것으로 나타났다. 본 논문의 주요 결과는 정책당국에 해양환경 관리정책 수립과 평가에 유용하게 활용될 수 있다.

기업이 지속적으로 성장하기 위해서는 반드시 가치를 확보해야 한다. 많은 기업들의 전략은 고객으로부터 가치를 최대한 확보하고 전유하는 것에 초점이 맞춰져 있다. 이에 따라 가치에 대한 연구는 학계와 산업계에서 활발하게 진행되고 있으나 대부분의 경우 지나치게 개념적이거나 이론적인 경우가 많아 실증적인 연구로 이어지는 것에는 한계가 있다. 본 연구에서는 VCA(value creation and appropriation)model을 이용해 국내외 항공 산업에서 발생하는 가치창조와 전유 동향을 분석하였다. VCA모델을 통해 가치를 창조하기 위해 투입된 자본과 노동력을 바탕으로 기업이 실제로 창출한 가치의 양을 계산할 수 있으며 또한 창조된 가치가 기업의 이해관계 자(임직원, 고객, 공급업체 자본투자자 등)들에게 어떻게 배분(distribution)되는지 파악할 수 있다. 한국, 일본, 중국 및 동남아시아 국가의 주요 항공사의 재무제표 등 접근 가능한 데이터를 활용해 분석을 수행했으며 2000년부터 2015년까지의 총 15개년의 데이터를 수집했다. 분석 결과 각 국가, 기업 규모, 연도별로 가치의 창조와 전유에는 일정한 패턴과 유형이 존재하는 것으로 밝혀졌다. 최종적으로는 가치창조와 전유의 유형별로 주요 이슈를 도출하고 이에 대응하기 위한 시사점을 제시하였다.