• 제목/요약/키워드: Demand management policy

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An Analysis on Causalities Among GDP, Electricity Consumption, CO2 Emission and FDI Inflow in Korea (한국의 경제성장, 전력소비, CO2 배출 및 외국인직접투자 유입 간 인과관계 분석)

  • Park, Chang-dae;Kim, Sung-won;Park, Jung-gu
    • Journal of Energy Engineering
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    • v.28 no.2
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    • pp.1-17
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    • 2019
  • This article analyzes causal relationships among gross domestic product(GDP), electricity consumption, carbon dioxide($CO_2$) emission and foreign direct investments(FDI) inflow of Korea over the period from 1976 to 2014, using unit root test, cointegration test, and vector error correction model(VECM). As the results, this article found (1) a long-run bi-directional causality between GDP and electricity consumption, which may imply a negative impact of electricity consumption-saving policy on economic growth, (2) uni-directional short- and long-run causalities running from $CO_2$ emission to GDP, and a uni-directional long-run causality running from $CO_2$ emission to electricity consumption, which can result in a negative impact of $CO_2$ emission reduction policy on economic growth and electricity consumption, (3) a uni-directional long-run causality running from FDI to GDP, and uni-directional short- and long-run causalities running from FDI to electricity consumption, which may result from relatively lower electricity prices than investing countries, (4) no causality between FDI and $CO_2$ emission, which is based on the characteristics of FDI composed of service industries. Considering the above causal relationships among the four variables, the policy implication needs to focus on the electricity demand management based on the relevant R&Ds, and on the gradual transition from fossil fuel- to renewable-energy. Adaptive policy to increase the FDI inflow is also needed.

A proposal of unit watershed for water management based on the interaction of surface water and groundwater (지표수-지하수 연계 기반의 통합수자원 관리를 위한 단위유역 제안)

  • Kim, Gyoo-Bum;Hwang, Chan-Ik
    • Journal of Korea Water Resources Association
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    • v.53 no.spc1
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    • pp.755-764
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    • 2020
  • In South Korea, 850 standard watersheds and 7,807 KRF catchment areas have been used as basic maps for water resources policy establishment, however it becomes necessary to set up new standard maps with a more appropriate scale for the integrated managements of surface water-groundwater as well as water quantity-quality in the era of integrated water management. Since groundwater has a slow flow velocity and also has 3-D flow properties compared to surface water, the sub-catchment size is more effective than the regional watershed for the evaluation of surface water-groundwater interaction. The KRF catchment area, which has averagely a smaller area than the standard watershed, is similar to the sub-catchment area that generally includes the first-order or second-order tributaries. Some KRF catchment areas, which are based on the surface reach, are too small or large in a wide plain or high mountain area. Therefore, it is necessary to revise the existing KRF area if being used as a unit area for integrated management of surface-water and groundwater. A unit watershed with a KRF area of about 5 to 15 ㎢ can be effective as a basic unit for water management of local government considering a tributary composition and the location of groundwater wells, and as well it can be used as a basic tool for water demand-supply evaluation, hydrological observation system establishment, judgment of groundwater permission through a total quantity management system, pollution assessment, and prioritizing water policy, and etc.

Factors Influencing on Musculoskeletal Symptoms of Care Workers in Long-Term Care Hospitals for Job Environment, Psychological Work Demand, Fatigue (요양병원 요양보호사의 작업환경, 심리적 업무요구, 피로가 근골격계 증상에 미치는 영향)

  • Oh, Jinyoung;Ha, Yeongmi
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.559-569
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    • 2020
  • This study was conducted to examine relationships among job environment, psychological work demand, fatigue, musculoskeletal symptoms, then to investigate the factors influencing musculoskeletal symptoms of care workers in long-term care hospitals. A total of 128 care workers recruited from three long-term care hospitals in S city. Self-reported questionnaire survey was conducted from April to May, 2020. The results were as follows: The musculoskeletal symptoms of the care workers were the sum of the frequency of symptom occurrence, duration of symptoms, and intensity of pain in the three parts of the shoulder, hand/wrist/finger, and waist. The average score was 11.41±9.50 points out of 42. According to the hierarchical regression analysis, their musculoskeletal symptoms were significantly influenced by working department(β=.18, p=.034), psychological work demand(β=.21, p=.013) and fatigue(β=.25, p=.003), explained 21.6% of the total variance(F=6.87, p<.001). Based on our results, in order to reduce musculoskeletal symptoms of care workers in nursing hospitals, it is necessary to develop and apply an intervention program that can reduce psychological work demand and fatigue in consideration of the severity of the patient in charge.

Analysis of public library book loan demand according to weather conditions using machine learning (머신러닝을 활용한 기상조건에 따른 공공도서관 도서대출 수요분석)

  • Oh, Min-Ki;Kim, Keun-Wook;Shin, Se-Young;Lee, Jin-Myeong;Jang, Won-Jun
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.41-52
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    • 2022
  • Although domestic public libraries achieved quantitative growth based on the 1st and 2nd comprehensive library development plans, there were some qualitative shortcomings, and various studies have been conducted to improve them. Most of the preceding studies have limitations in that they are limited to social and economic factors and statistical analysis. Therefore, in this study, by applying the spatiotemporal concept to quantitatively calculate the decrease in public library loan demand due to rainfall and heatwave, by clustering areas with high demand for book loan due to weather changes and areas where it is not, factors inside and outside public libraries and After the combination, changes in public library loan demand according to weather changes were analyzed. As a result of the analysis, there was a difference in the decrease due to the weather for each public library, and it was found that there were some differences depending on the characteristics and spatial location of the public library. Also, when the temperature was over 35℃, the decrease in book loan demand increased significantly. As internal factors, the number of seats, the number of books, and area were derived. As external factors, the public library access ramp, cafe, reading room, floating population in their teens, and floating population of women in their 30s/40s were analyzed as important variables. The results of this analysis are judged to contribute to the establishment of policies to promote the use of public libraries in consideration of the weather in a specific season, and also suggested limitations of the study.

An Empirical Study on the Influence on Public Data Usage in Private Business Sectors (민간의 공공데이터 활용을 위한 이용의도에 미치는 영향에 관한 실증적 연구)

  • Cha, Young-Il;Choi, Sung-Kyou;Han, Kyeong-Seok
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.9-17
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    • 2017
  • The opening of public data has been perceived as a critical factor in deciding a country's rise or fall. Since the global economic crisis, countries around the globe have expanded the supply of public data as a new growth engine to create significant economic effects. As a result, there has been a rising demand for a study on the influence of public data in the private sectors. This study attempted to achieve the following objectives. First, the effects of independent variables-system quality, information quality, information security, social influence, innovation and assistance by the public organization- on the intention to use the public data was examined. Second, the effects of the mediating variables - Perceived Ease of Use (PEU) and Perceived Usefulness (PU) - on the independent variables and intention to use (dependent variable) were investigated. Third, after selecting utilization type, frequency of public data usage and frequency of occupational & e-government service usage as moderating variables, their effects on the relationship between the independent variables and dependent variable (intention to use them in the private sector) were studied. It is expected that the study results would be useful in developing strategies aimed to utilize public data in the private sectors.

An Input/Output analysis of the transportation industry for evaluating its economical contribution and ripple effect - Forecasting the I-O table in 2003~2009 - (교통부문의 경제적 기여도 및 파급효과 도출을 위한 산업연관분석 연구 - 2003~2009년 산업연관표 중심으로 -)

  • Lim, Siyeong;Kim, Seok;Oh, Eun-ho;Lee, Kyo Sun
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.4
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    • pp.12-20
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    • 2015
  • Construction industry has played a pivotal role in the national economy, but the crisis situation of a construction industry has been worse due to the lack of recognition of the contribution of a construction industry. In particular, the transport sector is responsible for a critical function in the movement of humans and material resources, and has a profound impact on national competitiveness and the peoples' welfare, which requires quantitative analysis. In this study, economic contribution and impact of the transportation sector are measured based on the input-output model. Road and railway facilities account for 1.03% and 0.165% of the total industry respectively, and consist of a final demand and total output. Although value-added inducing effect is small, production inducing effect and backward linkage effect has been high. The results in this study will be used as the basic information for validity of investment and policy decisions.

A Development of Quantitative Analysis Model for the Policy Analysis in Feasibility Study Using the Performance Assessment Method (성능평가기법을 활용한 타당성조사 정책적 분석단계의 정량적 의사결정모델 개발 - 복수대안의 타당성 평가를 중심으로 -)

  • Lim, Yong-Soo;Song, Hyun-Young;Jeong, Han-Kee;Jeong, Min-Chul;Kong, Jung-Sik
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.2
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    • pp.89-100
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    • 2011
  • As an impactive factor on industries and national economy, The Social Overhead Capital(SOC) is major factor to determine the national competitiveness and the investment of SOC is essential for its economic growth. Accordingly, introduction of the preliminary feasibility study and establishment of legal institutionalization and evaluation system has been carried out and reviewed since 1999. Nevertheless of these efforts, basic problems such as lack of scientific method for investment evaluation and loss of effectiveness on feasibility studies are continuously being brought up. Moreover, as the preliminary study to improve the mentioned problems is mainly focused on the economic and estimated demand analysis, the study of policy analysis, the most important phase during a feasibility study, is still insufficient. Therefore, in this paper, a quantitative decision-making model, to which the performance assessment method of Value Engineering(VE) is applied, is developed and proposed to improve the policy analysis of (preliminary) feasibility study that requires combining with relative studies, to induce quantitative analysis method, and to contribute the improvement of value on the political aspect for SOC investment goals and use as a strategic decision-making method by systematic analysis.

A Study on Method of Citizen Science and Improvement of Performance as a Ecosystem Conservation and Management Tool of Wetland Protected Areas (Inland Wetland) - Focused on the Target of Conservation·Management·Utilization in Wetland Protected Area Conservation Plan - (내륙 습지보호지역의 생태계 보전·관리 도구로서 시민과학연구 방법론 및 성과 제고 방안 - 습지보호지역 보전계획의 보전·관리·이용 목표를 중심으로 -)

  • Inae Yeo;Changsu Lee;Ji Hyun Kang
    • Journal of Environmental Impact Assessment
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    • v.32 no.6
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    • pp.450-462
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    • 2023
  • This study suggested methodology of Citizen Science as a tool of ecosystem conservation and management to achieve Wetland Protected Area (WPA) Conservation Plan and examined whose applicability in 3 WPAs (Jangrok of Gwangju metropolitan city, Madongho of Goseong in South Gyeongsang Province, and Incheongang estuary of Gochang in North Jeolla Province). It consists of a) figuring out main interests and stakeholder or beneficiaries of WPA and their information demand based on conservation, utilization, and management target in the WPA Conservation Plan, b) conducting research activities to gain outcome to address stakeholder's demand, and c) returning the research outcome to citizen scientists and making diffusion to the society. Based on the suggested method and process, citizen scientists conducted ecosystem monitoring (plants including Invasive Alien Plants, terrestrial insects, traces of mammals, discovering unknown wetland). As a result, citizen scientists contributed to collecting species information of 16 plans, 43 species of terrestrial insects, 5 mammals including Lutra lutra (Endangered Species I) and Prionailurus bengalensis (Endangered Species II). The authors constructed and provided distribution map of Invasive Alien Plants, which included information of location and density which citizen scientists registered, for Environment Agencies and local governments who manage 3 WPAs to aid data-based ecosystem policy, In further studies, not only accumulating research data and outcomes acquired from citizen science to suffice the policy demands but also deliberate reviewing policy applicability and social·economic ripple effect should be processed for the suggested Citizen Science in WPA to be settled down as a tool of ecosystem conservation and management.

A Study on Secure Data Access Control in Mobile Cloud Environment (모바일 클라우드 환경에서 안전한 데이터 접근 제어에 관한 연구)

  • Kim, Si-Jung;Yeo, Sang-Soo
    • Journal of Digital Convergence
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    • v.11 no.2
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    • pp.317-322
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    • 2013
  • Mobile cloud environment is recently becoming popular due to Internet access through various environments. Driven by computer performance improvement and service development, the demand for mobile cloud is increasing and accordingly the damage is on the rise. Therefore, it needs to conduct a study on problems of security necessary in large database that occurs in mobile cloud services. Although various security solutions limiting database access, security strategies about new user environments should be analyzed. This study analyzes weakness of safe data access through database management in mobile cloud environment and examines security requirements for safe data management. In addition, this study looks into threatening factors of security in cloud services and then draws security requirements about safer access control. A study on system application and evaluation of security requirements about access control is required.

A Prediction System on User Interest Degree to Web Sites Using the Concept of the Moving Averages (이동평균 개념을 이용한 웹 사이트 사용자 관심도 예측 시스템)

  • 박기현;유상진
    • Korean Management Science Review
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    • v.20 no.1
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    • pp.25-36
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    • 2003
  • Now that many organizations have invested a tremendous amount of money and efforts to operate Web sites on the Internet, there is a strong demand to understand the effectiveness of such investments. In other words, one of most frequent and important questions about their Web sites is "Will the current Web site management policy be effective enough to have more visitors come to our Web site\ulcorner" In this paper, a system which predicts the degree of user interest in the future to Web sites is constructed. The degree of user interest to a Web site is defined to be the visit counts for the Web site in the system. With higher the visit counts, the related site is considered to be more interesting. However, the figures of the visit counts themselves cannot explain properly the degree of user Interest in the future to the related Web sites (i.e. the effectiveness of the related Web sites). Therefore, the system also uses mechanisms which use the concept of the Moving Averages, which have been used frequently in the stock exchanges. In this paper. two prediction mechanisms are proposed and compared. The first mechanism uses the Golden Cross/the Dead Cross of the Moving Averages, while the second mechanism uses the changes of upward/downward direction of the Moving Averages. Experimental results show that the two prediction mechanisms proposed in this paper predict the degree of user interest in the future to the related Web sites very well in most cases. However, the first one is considered to be better than the second one In the sense that the second one is too much sensitive to the changes of visit counts.it counts.