• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.141-178
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• 2016

This paper, using AMR (Automatic Meter Reading) electricity data accurately measured in real time, analyses the characteristics and patterns of temperature effect on the industrial electricity usage. For this goal, the paper constructs and estimates a model which captures the properties of AMR time series including long-term trends, mid-term temperature effects, and short-term special day effects. Based on the estimated temperature response function and the temperature effect, we categorize the whole industry into two groups: one group with sharp temperature effect and the other with weak temperature effect. Furthermore, the industry group with sharp temperature effect is classified into a summer peak industry group and a winter peak industry group, based on the estimates of the temperature response function. These empirical results carry practical policy implications on the real time electricity demand management.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.191-203
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• 2015

IT is based industry on finance and insurance services and is essential equipment of survival for competitive on market. The importance of IT industry on finance and insurance is bigger than other industries. So, This study examinate effects of hardware and software divided by IT industry on each 6 finance and insurances. Research models are production inducing effects of Demand-Driven model, Shortage effects of Supply-Driven model finally, Leontief's price model by using data for analysis is Input-Output table for 2000~2009. Results are that IT Service effects are more impact than IT hardware effects on Finance and Insurance Service. Especially, IT service's supply shortage effects is 0.0847KWR to produce 1KRW of finance and insurance service for 2-fold increase compared to 2000. In addition, Central Bank and banking institutions of finance and insurance services are the greatest impact from IT industry. These are which is increasing to interdependence between IT industry and finance and insurance service.

• Journal of Family Resource Management and Policy Review
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• v.24 no.4
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• pp.1-20
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• 2020

This study aims to improve the family friendly certification system by analyzing the actual experience of family friendly certified companies with the certification's incentives and their demand for new incentives. We analyzed 2018 survey data of family friendly certified company incentives and interviewed representatives from 9 family friendly certified companies. First, the use of incentives differs according to the level of corporate classification, number of employees, industry, certification continuation training, and incentive impact. Current family friendly certification incentives indicate that the utilization rate of incentives is high when small and medium sized enterprises (SMEs) with less than 300 employees have newly received family friendly certification. Second, the use of the certification mark significantly differs by industry, certification duration, and incentive impact. Interviews with the companies' family friendly certification managers revealed that the incentives that companies use mainly are the Public Procurement Service bid points and priority immigration service. Large corporations hope for strong incentives, such as the National Tax Service's deferred tax investigation, interest rate cuts for bank loans, and corporate tax cuts. Lastly, the family friendly certification mark is a representative incentive used by 60% of family friendly certified companies. For the qualitative growth and stabilization of the family friendly certification system, the family friendly certification mark should be improved to become a more attractive incentive.

• Economic and Environmental Geology
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• v.56 no.2
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• pp.155-166
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• 2023

Through COVID-19, the importance of supply chain management of raw material minerals has been maximized. In particular, supply chain management is important for rare metals, which are difficult to manage demand and supply, in order to secure raw materials for the parts and materials industry that Korea is actively promoting. In this study, a system was established and evaluated to select Critical minerals that need to respond to Korea's industrial structure and global risks by quantifying tangible and intangible risk factors. Global Supply Concentration, Supplying country risk, Policy Social Environment Regulation, Domestic Import Instability, Risk responsiveness, Market Scale, Demand Fluctuation and Economic Importance were evaluated as evaluation indicators. The degree of risk and risk impact were quantitatively measured using the criticality matrix-criticality level. After evaluating 40 types of minerals used in domestic new growth businesses, 15 types of Critical minerals(Li, Pt, Co, V, REE, Mg, Mo, Cr, Ti, W, C, Ni, Al, Mn, Si) in Korea were selected. The results are expected to be used to establish policies to strengthen resource security and to make decisions to form a company's raw material portfolio.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.23-23
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• 2022

Recently, soybean production and market price are unstable, even if demand of soybean is maintained. Diverse conditions such as climate change, a decrease in rural population, and consuming affect food industry. In this situation, food security is soaring as important key-word again, and MAFRA is promoting policies for improving soybean self-sufficiency with the goal of 40% until 2030. The point of policy is to extend a production and stabilize a demand for soybean with supporting large-scale soybean paddy-field complex. According to the background, soybean breeding and production research in NICS are proceeded with three parts. First, production improvement with soybean cultivation land enlargement and high-yield cultivar development. Various growth period soybean cultivars for double cropping, irrigation management technologies in paddy field, and hyper-yield and specific-region adaptable cultivar development. Second, reduction of production expense with mechanized cultivation and digital-based field management technologies. Third, consumer-friendly and high quality soybeans with high protein cultivar for alternative protein usage and high food process-ability for soy milk, tofu, soybean sprouts, and grain usage. Each part need to be combined and advanced to improve soybean industry and soybean self-sufficiency.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11B
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• pp.1261-1271
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• 2009

Emergence of new mobile communication services has generated new demand for spectrum. Because spectrum is a scarce public resource, demand for spectrum would exceed supply. As the demand for spectrum grows, the spectrum management policy becomes one of the most important issues in mobile telecommunications industry. Huge license charges for spectrum usage may obstruct the growth of mobile telecommunications industry. We analyze spectrum charges by international comparison for the case of 3G mobile telecommunication spectrum assignment. There are mainly two types of methods in spectrum assignment of 3G service, one is the auction and the other is the beauty contest. This article aims to analyze factors which influence on spectrum charges and to study the characteristic of spectrum charges of some selected countries. This study suggests the multiple regression model about spectrum charges.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.21-29
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• 2020

This study aims to explore the characteristics of platform for social service delivery and the electronic voucher system as an instrument for the delivery. The paper discusses the concept and characteristics of platform and reviews the factors by which firms migrate to platform. Social service e-vouchers are an example of a government platform that pays e-vouchers to consumers and gives them the choice of services. Then it analyzes the case of platform establishment to deliver social services. The demand on welfare services has changed with demographic structure. The change in demand requires innovation in the social service delivery system and adoption of strategies to move to the platform. Factors that enabled the social service delivery platform to build both demand and supply sides include access to employment policies, industrial connection, workforce training, and requirements for social service eligibilities.

• Journal of Energy Engineering
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• v.23 no.2
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• pp.119-124
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• 2014

After the oil crisis in 1970s, many countries have tried to reduce oil dependency. Especially, in Korea, rapid declining oil consumption has speedily brought to electrification and a surge in electricity demand. This paper attempts to estimate the relationship between declining oil use and electrification in Korea using OECD panel data covering from 1985 to 2011. To this end, random effect model and fixed effect model are employed. The increase in the ratio of energy oil to total energy consumption by 10%p leads to reduce the electricity demand by about 15%. This result can be useful information to cope with the recent crisis of electric power. In addition, industrial sector is ranked in forth the ratio of industrial electricity use to total electricity use according to the result of comparative analysis of electricity consumption by use in OECD countries. Therefore, industrial sector should be treated as the main target of demand-side management policies for electricity.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.365-371
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• 2021

In this study, The Virtual Power Plant (VPP) solution platform considered in this study minimizes the cost and investment risk associated with the construction of power generation and transmission facilities. In addition, it includes a Demand Response (DR) program operation function to meet consumers' electricity demand. With the introduction of VPP, it is possible to provide more eco-friendly and efficient power by responding to changes in consumer load in real time through existing generators and DR programs without large-scale facility investment in power generation and transmission/distribution sectors. In order to link the communication device to the solar power and ESS linkage device, it is necessary to transmit data in the control/state between the device device and the edge system and develop an IoT device and interworking platform (OneM2M).

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.319-334
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• 2024

Purpose - The purpose of this study is to examine the gravity model commonly used for demand forecasting upon the implementation of new tourist facilities and analyze the main causation of forecasting errors to provide a suggestion on how to improve. Design/methodology/approach - This study first measured the errors in predicted values derived from past feasibility study reports by examining the cases of five national science museums. Next, to improve the predictive accuracy of the gravity model, the study identified the five most likely issues contributing to errors, applied modified values, and recalculated. The potential for improvement was then evaluated through a comparison of forecasting errors. Findings - First, among the five science museums with very similar characteristics, there was no clear indication of a decrease in the number of visitors to existing facilities due to the introduction of new facilities. Second, representing the attractiveness of tourist facilities using the facility size ratio can lead to significant prediction errors. Third, the impact of distance on demand can vary depending on the characteristics of the facility and the conditions of the area where the facility is located. Fourth, if the distance value is below 1, it is necessary to limit the range of that value to avoid having an excessively small value. Fifth, depending on the type of population data used, prediction results may vary, so it is necessary to use population data suitable for each latent market instead of simply using overall population data. Finally, if a clear trend is anticipated in a certain type of tourist behavior, incorporating this trend into the predicted values could help reduce prediction errors. Research implications or Originality - This study identified the key factors causing prediction errors by using national science museums as cases and proposed directions for improvement. Additionally, suggestions were made to apply the model more flexibly to enhance predictive accuracy. Since reducing prediction errors contributes to increased reliability of analytical results, the findings of this study are expected to contribute to policy decisions handled with more accurate information when running feasibility analyses.