• Journal of Korea Trade
• /
• v.24 no.8
• /
• pp.19-38
• /
• 2020

Purpose - The Korean government has been promoting the New Southern Policy (NSP) prior to the onset of the COVID-19 pandemic, which damage global value chain (GVC). The purpose of this paper is to emphasize that the NSP should be developed to provide tangible support in corporate GVC adjustment, away from diplomatic activities in order to offset GVC losses due to COVID-19 and expand export capabilities. Design/methodology - Two research methodologies are combined for this paper: A computational general equilibrium (CGE) model is used to estimate the impacts of the COVID-19 pandemic and NSP on Korea's exports, and the decomposition methodology (Wang, Wei and Zhu, 2013) to evaluate the stability of GVC. The conventional CGE model was modified to obtain an estimate for decomposition. The research methodology adopted in this study was attempted for the first time, and it can be widely used in future GVC research. Findings - Results found the effects of COVID-19 reduced Korea's total exports by 27% and GVC by more than 30%. In particular, VA in Korea's exports to the NSP region was found to have a huge impact in heavy industries and textiles, and its exports to Vietnam seemed to suffer the largest loss in GVC among ASEAN countries. If the NSP is implemented properly, it appears that it could offset much of the negative impacts of COVID-19, implying the importance of the effectiveness of the NSP. Originality/value - Many papers have assessed the NSP descriptively, and the GVC has been a topic for many publications. However, the impact of COVID-19 on Korea's GVC with the NSP countries has not been quantitatively studied. This paper emphasizes that the NSP should be pursued based on the results of quantitative analysis. In addition, the research methodology of this paper can be used for other GVC research with relevant modifications.

• Journal of Fisheries and Marine Sciences Education
• /
• v.29 no.2
• /
• pp.513-525
• /
• 2017

In the estimation of the exploitable carrying capacity (ECC) in the Korean water of the East China Sea, two approaches, which are the ecosystem modeling method (EMM) and the holistic production method (HPM), were applied. The EMM is accomplished by Ecopath with Ecosim model using a number of ecological data and fishery catch for each species group, which was categorized by a self-organizing mapping (SOM) based on eight biological characteristics of species. In this method, the converged value during the Ecosim simulation by setting the instantaneous rate of fishing mortality (F) as zero was estimated as the ECC of each group. The HPM is to use surplus production models for estimateing ECC. The ECC estimates were 4.6 and 5.1 million mt (mmt) from EMM and HPM, respectiverly. The estimate from the EMM has a considerable uncertainty due to the lack of confidence in input ecological parameters, especially production/biomass ratio (P/B) and consumption/biomass ratio (Q/B). However, ECC from the HPM was estimated on the basis of relatively fewer assumptions and long time-series fishery data as input, so the estimate from the HPM is regarded as more reasonable estimate of ECC, although the ECC estimate could be considerd as a preliminary one. The quality of input data should be improved for the future study of the ECC to obtain more reliable estimate.

• International Journal of Quality Innovation
• /
• v.8 no.1
• /
• pp.40-75
• /
• 2007

In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company's mechanization and philosophy of management and been in efficiency. But being comply with "New Economic age," a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It's a good instrument of financial performance measure mold in the past years, But it's for measuring the past, couldn't formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non-financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

• The Journal of Fisheries Business Administration
• /
• v.49 no.1
• /
• pp.17-35
• /
• 2018

This study is to evaluate economic value of the ecosystem service benefits of the marine forests provided to our society on the basis of the global standard valuation manual. The main results of this study are summarized as follows: First, the ecosystem service benefits of marine forests are worth 771,121,551 won per hectare for a year in Korea. Second, when evaluating value based on the services benefits of the marine forests, as resource provisioning service, the annual value of the fishery potential production amounts to 58,512,271 won per hectare. The annual value of the environmental and regulatory services is estimated to total 29,574,000 won per hectare including 546,488 won per hectare for climate regulation, 85,342 won per hectare for pollution purification, and 28,942,170 won per hectare for erosion protection. The annual value of the culture and tourinsm services is estimated to total 15,317,647 won per hectare including 5,011,765 won per hectare for skin scuba service and 10,305,882 won per hectare for sea fishing. Also, the aunnual non-use value is estimate to 637,800,000 won per hectare. Third, assuming that the value of the sea forests increases proportionally to the unit area, the marine forests can be valued at 12.7 trillion won per year based on 12,208.2 hectares of marine forests creation area and 4,272.6 hectares of natural seaweed beds. Fourth, the total economic value of the marine forests can be estimated at 244 trillion won in 2016, if the value of the marine forests permanently continues in the future by applying 5.5% of the social discount rate. The results of this study are expected to serve as a valuable information for improving awareness of the value of marine forests ecosystem and ensuring the validity of the marine forests creation policy by converting the value of the marine forests's ecosystem service into monetary units.

• Journal of Korean Society for Quality Management
• /
• v.44 no.4
• /
• pp.833-843
• /
• 2016

Purpose: The purpose of this study is to evaluate the value of smart home service using contingent valuation method that is the method evaluating the value of service which will be provided in the future. Using this method, this study suggests proper price and market value of smart home service through figuring out customer's willingness to pay. Methods: To estimate willingness to pay for smart home service, this study uses double bounded dichotomous choice question. The survey was conducted for 2 months from December in 2015 to February in 2016. A total of 269 copies were used to estimate through R-programming. Results: The results of this study are as follows; Gender(especially woman), income, proposed price are the factors which affecting willingness to pay. As the result of this study, average price of willingness to pay for smart home service estimates as \29,653. Comparing with high-speed internet bundling service fee, this estimated price for smart home service is appropriate level for customers to accept. Conclusion: This study estimates consumer's willingness to pay for smart home service which is in the market entry stage. In corporate side, this study might be meaningful for estimating investment scale and profit. Also it could provide basis for establishing strategic policy to develop smart home service market in government side.

• The Korean Journal of Applied Statistics
• /
• v.25 no.5
• /
• pp.757-773
• /
• 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.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.42 no.2
• /
• pp.35-48
• /
• 2017

As the technology convergence paradigm emerges, the need for "CIA techniques" to analyze the mutual effects of technology is increasing. However, since the CIA input parameter estimation is difficult, the present study suggests a "CIA input parameter setting model" to alleviate the difficulty of CIA input parameter estimation. This paper is focused on the difference of measurement difficulty by each scale which expert's estimation behavior was defined as measurement activity quantifying the judgment of future technology. Therefore, this model is designed to estimate the input variable as a sequence or isometric scale that is relatively easy to measure, and then converts it into a probability value. The input parameter setting model of the CIA technique consists of three sub-models : 'probability value derivation model', 'influence estimation model', and 'impact value calculation model', in order to develop a series of models the Thurstone V model, Regression Analysis, etc has been used.

• Journal of Korean Clinical Nursing Research
• /
• v.20 no.2
• /
• pp.162-176
• /
• 2014

Purpose: The purpose of this study was to perform an operating room nursing activities analysis and estimate nursing intensity of each nursing activity based on the Relative Value Scale (RVS). Methods: The methodology for this study of RVS was based on the work of Hsiao et al. The first stage was to identify nursing activities and the second to measure intensity of nursing activities including technical skill, mental effort, and stress. Results: Calculation of the RVS for 99 nursing practices showed a score range from 300.00 to 1337.78. CS operation assistant, OS operation assistant, and obtaining certification had high nursing intensity. Surgical hand washing, putting on surgical gowns, surgical gloves and surgical caps and mask had low nursing intensity. Conclusion: The activities of operating room are not compensated separately but reimbursement is usually included in physician fees. In the future, an estimation of nursing cost should show the nursing contribution rate to total operation revenue.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2009.03a
• /
• pp.782-791
• /
• 2009

This study was carried out the laboratory tests and field plate load test in order to evaluate the reinforcement effect of geocell for road construction. The geocell-reinforced subgrade shows the increment of cohesion and friction angle with comprison of non-reinforced subgrade. In addition, the field plate load test was performed on the geocell-reinforced subgrade to estimate the bearing capacity of soil. The direct shear test was conducted with utilizing a large-scale shear box to evaluate the internal soil friction angle with geocell reinforcement. The number of cells in the geocell system is varied to investigate the effect of soil reinforcement. The theoretical bearing capacity of subgrade soil with and without geocell reinforcement was estimated by using the soil internal friction angle. The field plate load tests were also conducted to estimate the bearing capacity with geocell reinforcement. It is found out that the bearing capacity of geocell-reinforced subgrade gives 2 times higher value than that of unreinforced subgrade soil. In the future, the reinforcement effect of the geocell rigidity and load-balancing effect of the geocells should be evaluated.

• Journal of Navigation and Port Research
• /
• v.39 no.2
• /
• pp.115-123
• /
• 2015

This study focused on the alternative to estimate the demand of employment in Kenya logistics. First of all, it investigated the importance and necessity of search about the present circumstance of the country's industry. Next, it reviewed respectively the concept and limitation of several previous models for employment, including Bureau of Labor Statistics, USA; ROA, Netherlands; IER (Institute for Employment Research), UK; and IAB, Germany. In regard to the demand forecasting of employers in logistics, it could anticipate more realistically the future demand by the time-lag approach. According to the findings, if value of output record 733,080 KSH million in 2015 and 970,640 in 2020, compared to 655,222 in 2013, demand on wage employment in logistics industry would be reached up to 95,860 in 2015 and 104,329 in 2020, compared to about 89,600 in 2012. To conclude, this study showed the more rational numbers about the demand forecasting of employment than the previous researches and displayed the systematic approach to estimate industry manpower in logistics.