• Journal of the Korean housing association
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• 제25권3호
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• pp.123-130
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• 2014

The decrease in the birth rate of the modern changes in population structure changed recovery households and household members. This change was seen in the furniture sector, 2010 population housing total survey data according to the types of households and household members indicate that future changes. Problems can predict the various issues raised, and to ensure that the supply of housing of the population structure and household type is not done properly and home sales take a look at home since 2000, was popular during the 2010 State. Therefore, this study is suggesting workarounds necessary adjustments due to changes in population structure, analyze news coverage of members of households with housing demand and housing as a base quantity change in the future of furniture and home situation changes, including housing demand and supply to purpose. Specify the range of Daegu-City research studies range, national statistical data and related literature, comparative analysis of time trends and derive a conclusion.

• Journal of Korea Technology Innovation Society
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• 제10권1호
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• pp.22-46
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• 2007

This article introduces a recent innovation in Korea's human resources development policy in the SW sector. Facing serious problems in cultivating SW engineers such as a mismatch in supply and demand of SW workers, shortage of globally competitive SW professionals, and insufficient education and training of university graduates, the Korean government has decided to adopt a new paradigm in national SW engineering education, based on supply chain management (SCM) in manufacturing. SCM has been a major component of the corporate competitive strategy, enhancing organizational productiveness and responsiveness in a highly competitive environment. It weighs improving competitiveness of the supply chain as a whole via long-term commitment to supply chain relationships and a cooperative, integrated approach to business processes. These characteristics of SCM are believed to provide insight into a more effective IT education and university-industry collaboration. On the basis of the SCM literature, a framework for industry-oriented SW human resources development is designed, and then applied in the case of nurturing computer-software engineers in Korea. This approach is expected to fumish valuable implications not only to Korean policy makers, but also to other countries making similar efforts to enhance the effectiveness and flexibility in human resources development. The construction of SCM-based SW HRD model is first trial to apply SCM into SW HRD field. The model is divided into three kinds of primary activities and two kinds of supportive activities in the field of value chain such as SW HRD Council, SW demand and supply plan establishment and the integration of SW engineering capabilities that contribute the reduction of the skill and job matching through SW HR demand and supply collaboration.

• Resources Recycling
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• 제15권3호
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• pp.3-19
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• 2006

Sustainable supply of minerals and energy is global problem. Metals and energy consumption in the world has increased with economic growth. Currently more than 40 metals are systematically extracted and used in many different fields in civilized society. Recycling and reuse have become very important because recycling contributes to supplying the materials and protecting the environment of society. It is not realistic that all waste materials are capable of being recycled, because recycling metals have fundamentally been competing with primary production. In this point of view, prior to discuss on current recycling technology of waste resources in Korea, world wide trend and Korean recent activity in the supply-demand far minerals and energy resources are reviewed.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제16권10호
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• pp.6959-6968
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• 2015

This study aims to update the supply-demand model of wood products(FOSMO-2013) and to forecast mid and long run supply and demand for each products. The subjects of the study include sawnwood, plywood, particle board, fiberboard(MDF), and pulp. The updated partial equilibrium model is composed of supply function, import demand function, demand function, price relation function. The long run outlooks of world prices of wood and wood products are imported from the results of Buongiorno(2012). This study also adopt Buongiorno's scenarios, which includes three scenarios of IPCC(A1B, A2, B2) and the other one with assumption of increasing fuelwood consumption of A1B scenario. The result says that the domestic productions of wood products are expecting to decrease while the imports of them increase even there are some differences among the products as well as scenarios.

• Journal of Korea Port Economic Association
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• 제38권3호
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• pp.87-104
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• 2022

Considering the complex structure and high volatility in the shipping market, it is important to investigate the connectedness amongst influencing factors. This study explores the dynamic relationship between supply-demand factors and shipping freight indices. We choose Capesize and Panamax in the bulk carrier market and use quarterly data of GDP, world fleet, BCI, and BPI from 1999 to 2021. Applying the wavelet analysis and wavelet Granger causality test, the simultaneous examination of co-movement and causality between two factors and the shipping market in both the time and frequency domains is achieved. We find that co-movement and causality vary across time and frequencies, thereby existing dynamic relationships between variables. Second, compared to multiple coherencies using demand and supply factors together, partial coherencies indicate noticeable causalities. It implies that analyzing demand and supply factors separately is essential. Finally, shipping freight indices show a high correlation with the demand factor in a good market and with the supply factor in a bad market. Generally, GDP positively leads shipping freights in the recovery phase while the world fleet negatively leads shipping freights in the downturn. The research is meaningful in that the rarely-applied wavelet analysis is adopted in the shipping market and that it gives a reasonable ground to explain the role of supply and/or demand factors in different phases of the market cycle.

• Journal of Korean Society of Water and Wastewater
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• 제37권6호
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• pp.363-373
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• 2023

Numerous studies have established a correlation between sociodemographic characteristics and water usage, identifying population as a primary independent variable in mid- to long-term demand forecasting. Recent dramatic sociodemographic changes, including urban concentration-rural depopulation, low birth rates-aging population, and the rise in single-person households, are expected to impact water demand and supply patterns. This underscores the necessity for operational and managerial changes in existing water supply systems. While sociodemographic characteristics are regularly surveyed, the conducted surveys use aggregate units that do not align with the actual system. Consequently, many water demand forecasts have been conducted at the administrative district level without adequately considering the water supply system. This study presents an upward water demand forecasting model that accurately reflects real water facilities and consumers. The model comprises three key steps. Firstly, Statistics Korea's SGIS (Statistical Geological Information System) data was reorganized at the DMA level. Secondly, DMAs were classified using the SOM (Self-Organizing Map) algorithm to consider differences in water facilities and consumer characteristics. Lastly, water demand forecasting employed the PCR (Principal Component Regression) method to address multicollinearity and overfitting issues. The performance evaluation of this model was conducted for DMAs classified as rural areas due to the insufficient number of DMAs. The estimation results indicate that the correlation coefficients exceeded 0.9, and the MAPE remained within approximately 10% for the test dataset. This method is expected to be useful for reorganization plans, such as the expansion and contraction of existing facilities.

• Journal of Biosystems Engineering
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• 제31권3호
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• pp.194-202
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• 2006

Using a multi-variable linear regression technique and SUR(seemingly unrelated regression) model, the demand functions of tractor, combine and rice transplanter were estimated. The demand was regarded as an annual supply of each machine and modeled as a function of 11 independent variables which reflect the actual farmer's income, actual prices of farm machines, previous supply, previous stock, actual amount of available subsidy, actual amount of available loan, arable land, import of farm machines and rice price. The actual amount of available loan affects most significantly the demand functions. The actual farmer's income, actual farmer's asset, loan coverage, and rice price affect the demand positively while prices of farm machines and import negatively. The annual demands of tractor, combine and rice transplanter estimated using the demand functions were also presented over the next 4 years.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제16권11호
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• pp.7781-7787
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• 2015

The purpose of This paper is to address the development on supply-demand outlook model of aqua-cultured korean Flatfish and introduces a projection of supply-demand and market prices during 2015-2017 using developed model. The supply-demand outlook model is composed as a partial equilibrium model of Korean Flat fish. Each equation in the model is estimated by the econometric techniques. A reviews of the demand-outlook model stability is also carried out by the references based on RMSPE. MAPE, and Theil's inequality coefficients. According to the reference of RMSPE, the error rates of the forecasting values of the aqua culture area, culturing quantity, production quantity, market price show less than 4%, The production quantity and farm price are predicted respectively to be 42,561MT and 10,191KW per kg in 2017.

• Journal of Korean Society of Environmental Engineers
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• 제33권11호
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• pp.797-803
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• 2011

In this study, we developed the assessment method that evaluate the water demand management and calculate the water saving volume using water use indicator, and developed the system to link the water saving volume that occur through demand management and water supply and demand. The results from this study, local governments with poor water conditions should be followed to improve the water supply. And, future water demand estimates should be even considering it. We calculated the water saving volume of the Geum River basin using K-WEAP (Korea-Water Evaluation And Planning System) and performed the water budget analysis. We found that the change of river flow, ground water level and reservoir water level, and it can be utilized for other demand.

• Journal of Korean Society for Geospatial Information Science
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• 제22권1호
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• pp.41-46
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• 2014

Bus service is easily adjusted to accommodate the changed demand. Despite the flexibility of that, its relocation should overcome the following problems: first, Bus line rearrangement should consider the balance between the demand and the supply to enhance the transit equity among the users scattered around the area that supply against demand imbalances. Second, the existing demand analysed is to crude since the demand was analysed based on TAZ. mainly based on the Dong unit. Utilization of the GWR and GIS-T data can resolve the problem. In this paper, the limitation of the conventional transit demand analysis model is overcome by deploying the GWR model which identifies the transit demand based on the geographic relation between the service location and those of the users. GWR model considers the spatial effect of the bus demand in accordance with the distance to the each bus stops using SCD(Smart Card Data) and BIS(Bus Information System). This demand map was then superimposes with the existing bus route which identified the areas where the balance between demand and supply is severly skewed. since the analysis was computed with SCD and BIS at every bus stops. the shortage and surplus of bus service of entire study area could computed. Further. based on this computational result and considering the entire bus service capacity data. Bus routes optimization from the oversupplied areas to the undersupplied area was illustrated thus this study clearly compared the benefits the GIS.