• Title/Summary/Keyword: Policy indicators

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Development of Performance Indicators in Public Health Center Based Home Healthcare (방문보건사업 평가지표 개발)

  • Chang, Hyun-Sook;Lee, Tae-Bum;Nam, So-Young;Chin, Young-Ran
    • Health Policy and Management
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    • v.16 no.4
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    • pp.112-127
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    • 2006
  • The purpose of this study is to develop performance indicators for quality of public health center based home healthcare through the study the major factors of registrated weaken poorly residents in the community based home healthcare. Various literature review was conducted to study the performance indicators for quality of public health center based home healthcare of advanced countries and Korea. Mail survey was conducted from national wide PHC(public health centers), sub health centers and primary health care posts. of the surveys mailed, 2,293 centers(67%) were returned within the allotted and we included in the analysis these who completed the questionnaire. Data was analysed by SPSS for windows 12.0. The major results of the research were as follows; Firstly, major factors of registrated weaken poorly residents in the community based home healthcare in the multivariate analysis were jurisdictional families per manpower(OR:0.78, 95%CI:0.64-0.94, P=0.011), weaken poorly families per manpower(OR:0.42, 95%CI:0.35-0.50, P<0.001), business vehicles per manpower(OR:1.13, 95%CI:1.04-1.24, P=0.007) type of public health center(OR:4.42, 95%CI:3.32-5.90, P<0.001), region of public health center(OR:0.53, 95%CI:0.32-0.89, P=0.017). Secondly, performance indicators for quality of public health center based home healthcare were developed as basic investigation, registration, intervention and discharge level. Preparing for Activation of public health center based home healthcare in Korea, the result application as follows is possible. Firstly, we can conclude that the major factors of registrated weaken poorly residents in the community based home healthcare are jurisdictional families per manpower, weaken poorly families per manpower, type of public health center, region of public health center, business vehicles per manpower. Secondly, the new developed performance indicators which are divided into basic investigation, registration, intervention, discharge for public health center based home healthcare could be applied it for improving quality of home healthcare services.

A Basic Study on the Development of Indicators for Measuring the Value of Ocean Education (해양교육의 가치 측정 지표 개발에 관한 기초연구)

  • Lee, Seulgi;Kim, Tae-goun
    • Journal of Navigation and Port Research
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    • v.45 no.4
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    • pp.224-230
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    • 2021
  • It has been 16 years since the government announced its first Ocean Education Policy in 2005. Although the public consensus on the importance of ocean education has been formed, it is impossible to objectively analyze the impact of the policy on the society or the economy. The aim of this paper was to identify differences in perceptions and behaviors about the ocean between groups participating in ocean education and non-participating groups and to analyze the effectiveness of ocean education by developing measurement indicators for the value that individuals gave to ocean education services. To conduct this study, first, the value of ocean education was defined and value items that could be provided to individuals were classified. Second, to develop indicators that could measure classified value items, a Delphi survey was conducted to collect opinions of various experts. Third, by measuring the content validity ratio (CVR) for each item, final indicators and questionnaire were derived. As a result of Delphi analysis, 18 items with a CVR value of 0.6 or higher were finally adopted out of 32 indicator items. In the cognitive value category, indicators that could identify an individual's level of knowledge of the ocean, change in perception, and problem-solving ability were selected. In the behavioral value category, indicators were expanded to judge changes in attitudes and relationships toward the ocean and responsible behavior in more detail. This study is meaningful in that it provides the basis for directly judging the value of ocean education service provided by the government to the people. Results of such analysis are expected to contribute to securing a stable budget and the justification for expanding human resources in the government's continuous promotion of ocean education policies.

An Evaluation Framework for Defense Informatization Policy

  • Jung, Hosang;Lee, Sangho
    • Journal of Multimedia Information System
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    • v.7 no.1
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    • pp.73-86
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    • 2020
  • The well-known sentence, "You can't manage what you don't measure" suggests the importance of measurement. The Ministry of National Defense (MND) in Korea is measuring the effort of informatization for various dimensions such as validity, adequacy, and effectiveness using the MND evaluation system to obtain positive and significant effects from informatization. MND views the defense informatization domain as divided into the defense informatization policy, the defense informatization project, and the defense informatization level, which can measure the informatization capability of the MND and the armed forces or organizations. Furthermore, it feels there is some limitation, such as those related to ambiguity and reliability, present in the system. To overcome the limitations in the existing system to evaluate the defense informatization policy, this study proposes a revised evaluation framework for the policy of defense informatization, its indicators, and measurement methods.

Economic Policy Uncertainty and Korean Economy : Focusing on Distribution Industry Stock Market

  • Jeon, Ji-Hong;Lee, Hyun-Ho;Lee, Chang-Min
    • Journal of Distribution Science
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    • v.15 no.12
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    • pp.41-51
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    • 2017
  • Purpose - This study proposes the impact of the US and Korean economic policy uncertainty on macroeconomy, and its effect on Korea. The economic policy uncertainty index of the US and Korea is used to represent the economic policy uncertainty on Korean economy. Research design, data, and methodology - In this paper, we collect the eight variables to find out the interrelationship among the US and Korean economic policy uncertainty index of the US and macroeconomic indicators during 1990 to 2016, and use Vector Error Correction Model. Result - The distribution industry stock index in Korea is influenced by the economic policy uncertainty index of the US rather than of Korea. All variables are related negatively to the economic policy uncertainty index of the US and Korea from Vector Error Correction Model. This study shows that the economic policy uncertainty index of the US and Korea has the dynamic relationships on the Korean economy. Conclusions - A higher economic policy uncertainty shows a greater economy recession of a country. Finally, the economic policy uncertainty of the Korea has an intensive impact on Korea economy. Particularly, the economic policy uncertainty of the US has a strong impact on distribution industry stock market in Korea.

Resetting the Evaluation Indicators for School Garden Education Service

  • Hong, In-Kyoung;Yun, Hyung-Kwon;Jung, Young-Bin;Lee, Sang-Mi;Lee, Choon-soo
    • Journal of People, Plants, and Environment
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    • v.24 no.3
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    • pp.245-256
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    • 2021
  • Background and objective: The vitalization of urban agriculture has increased various forms of experience-based education using school gardens, which raised the importance of school gardens in terms of value as well as the need to develop an implementation system for education-based agricultural experience service using school gardens. Thus, we reset the evaluation indicators from the previous study to establish objective evaluation indicators that enable quantitative comparison of school garden education services. Methods: Analytic hierarchy process (AHP) and direct question (DQ) surveys were conducted on 20 experts from October 12 to 19, 2020 after establishing the purpose and subjects of evaluation, and then the weights were calculated using the Expert Choice 2010 program. Results: First, we analyzed the problems of the previous indicators by categorizing the performance indicators and comparing and verifying them with six requirements of valuation. Then, we added 'welfare values' and established sub-indicators accordingly. The importance of value indicator in AHP was in the order of education values (0.544), health values (0.182), welfare values (0.164), environmental values (0.062), and economic values (0.049). The importance of environmental and economic values was relatively low, less than 0.1. The importance of sub-indicators was highest in cultivating character (0.144), followed by enhancing ecological sensitivity (0.141) > promoting mental health (0.134) > cultivating agricultural literacy (0.120) > improving social skills (0.104). And mitigating climate change in environmental values was lowest (0.009). Increase in income was the lowest (0.036). This can be regarded as the expression of change to increase the educational effect based on collective life and the connotative meaning of 'school'. In the case of DQ, the AHP weight and order were the same, but the environmental and economic values were relatively low, and the result was different from AHP weight. For sub-indicators, the importance in DQ was highest in promoting mental health (0.136), followed by promoting physical health (0.085), ]cultivating character (0.082), social integration (0.072), and enhancing ecological sensitivity (0.071). After reviewing related experts, we came up with 5 evaluation indicators and 16 sub-indicators for school garden education service, which are objective evaluation indicators that enable quantitative comparison. Conclusion: In the future, we will validate the socioeconomic values of school garden education services and contribute to revitalizing school gardens by establishing policy alternatives for effective operation and management of school gardens.

A Case Study on the Evaluation of Environmental Health Status based on Environmental Health Indicators (환경보건지표를 이용한 지역 환경보건수준 평가 사례연구)

  • Jung, Soon-Won;Lee, Young-Mee;Hong, Sung-Joon;Chang, Jun-Young;Yu, Seung-Do;Choi, Kyung-Hee;Park, Choong-Hee
    • Journal of Environmental Health Sciences
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    • v.42 no.5
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    • pp.302-313
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    • 2016
  • Objectives: This study was conducted to assess environmental health status on a local scale using environmental health-related indicators. It demonstrated the possibility of using a structural equation model, a methodological approach to provide synthesized information. Methods: Eighteen indicators were selected from official statistical data published by local governments. Each environmental health-related indicator was classified according to the PSR (pressure-state-response) model. Aggregation methods were performed using principal component analysis and fuzzy sets. Results: The five principal components were classified through principal component analysis (PCA) and obtained eigenvalues >1.0 from the initial 18 indicators. The aggregated index was obtained by condensing the original information into two broad and simple categories through fuzzy sets. Conclusion: This could be useful in that the aggregation procedure may provide a basis for establishing environmental health policies and a decision-making process. However, the availability and quality of indicators, assessment of aggregation method bias, choice of weighted scores for indicators, and other factors should be examined in future studies.

A Study on the Development of Information Inequality Measurement Indicator Optimized for the Library (도서관에 적용가능한 정보불평등 측정지표 개발 연구)

  • Noh, Younghee;Chang, Rosa
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.53-81
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    • 2019
  • The 3rd Library Comprehensive Development Plan (2019-2023) of the Committee on Library and Information Policy under IFLA-UN 2030 Agenda emphasize the role of libraries in practicing social inclusion. At home and abroad, this is shedding new light on libraries as the public service institutions aimed at resolving information inequality. This study thus developed the information inequality measurement indicator optimized for libraries. For this purpose, FGI and Delphi technique were implemented as the verification stage of the expert group. As a result, the final indicators were derived in three evaluation areas, twelve evaluation items, and 30 evaluation indicators. Specifically, first, 3 evaluation items and 8 evaluation indicators were derived in the access evaluation area; second, 5 evaluation items and 12 evaluation indicators were derived in the competency evaluation area; and third, 4 evaluation items and 10 evaluation indicators were derived in the utilization evaluation area. This study is considered to be of great significance in that the information inequality measurement indicators optimized for libraries were developed, the first of its kind.

A Research on stock price prediction based on Deep Learning and Economic Indicators (거시지표와 딥러닝 알고리즘을 이용한 자동화된 주식 매매 연구)

  • Hong, Sunghyuck
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.267-272
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    • 2020
  • Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

Building Web Database for WHO Healthy City Wonju (원주시 건강도시 웹 데이터베이스 구축)

  • Nam, Eun-Woo;Shin, Taek-Soo;Song, Yea-Li-A;Park, Ki-Soo;Song, Tae-Min;Kim, Min-Kyung;Park, Jae-Sung
    • Korean Journal of Health Education and Promotion
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    • v.24 no.3
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    • pp.119-128
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    • 2007
  • The purpose of this study is to develop Web database for healthy city that contains healthy city indicators for making city health plans, setting project priorities, monitoring projects, and evaluating healthy city projects, effectively. Using Delphi survey method for identifying indicator domains and indicators, we extracted nine domains with thirty-four healthy city indicators. Based on the appraisals of DB users about the contents of DB, a web database for healthy city Wonju was constructed. We developed a web database system for the purposes of sharing high quality health related data for managing and evaluating healthy city projects. The web database currently provides variety data in the web address, http://healthycity.wonju.go.kr/index.html. The web DB comprised with major healthy city indicators that are the most important indicators, healthy city indicator data that have a variety data set for encompassing all domain areas such as city infrastructure, health medicine, economies, and all other related areas and qualitative data that contains policy reports, research results, healthy city information and all other tips. A database of healthy city is very essential and important because it makes healthy city projects alive by managing and sharing healthy city related data effectively. But we need to fill out some blank cells in DB because there are currently unavailable data for some indicators. In conclusion, we expect the web DB contributes information sharing of healthy city project teams and improving healthy city project quality at Wonju city in Korea.

Creating Generic Cluster Indicators based upon an Agent-centred Cluster Framework (행위주체 중심 클러스터 사고 틀에 기반한 클러스터 지표 개발에 관한 연구)

  • Jeong, Jun-Ho;Kim, Hag-Soo
    • Journal of the Economic Geographical Society of Korea
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    • v.13 no.3
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    • pp.416-441
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    • 2010
  • This paper attempts to develop a framework articulating a suite of indicators of cluster development, based upon existing work on the economic geography of clusters, cluster frameworks and indicators and cluster policies. Unlike other work the framework adopted here emphasizes adaptive and proactive roles played by agents, whether individual or collective, within the cluster when understanding it as a learning environment to capture an implication made from adopting the cluster perspective. Some possible indicators are operationalized and suggested even if they are not definitive and exhaustive. The conceptual framework and the specific indicators suggested can provide policy-makers and key stakeholders in clusters with a proper set of tools for measuring the level of cluster development, maneuvering a broader strategic planning exercise for successful cluster development.

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