• Title/Summary/Keyword: Cluster Policy

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A Study on the Development Plan for Innovation Cluster in Gyeonggi Province throughout a Case Study on Silicon Valley Innovation Cluster (캘리포니아 혁신클러스터 사례연구를 통한 경기도 혁신클러스터 발전방안 연구)

  • Kim, Myung Jin;Jung, Eui-Jeong;Lee, Yeonhee
    • Journal of the Economic Geographical Society of Korea
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    • v.16 no.2
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    • pp.293-309
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    • 2013
  • Innovation clusters have different factors depending on different stages. Innovation clusters in Gyeonggi now are early stages, which are necessary to investigate factors so that they go into upstages. Silicon Valley is known as one of the best innovation clusters, which are now represented as the forms of related variety. The purpose of the paper is to investigate current situation of innovation clusters in Silicon Valley and suggest appropriate policies for the development of innovation clusters in Gyeonggi. In order to do this, we visit several representative institutions regarding infra, human-training, industry-academic-institution cooperation, start-up assistance and local government. Throughout the case study, we propose implications, and produce policy tasks for the development of cluster policy in Gyeonggi.

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Analysis of Factors Affecting the Smoking Rates Gap between Regions and Evaluation of Relative Efficiency of Smoking Cessation Projects (지역 간 흡연율 격차 영향요인 분석 및 금연사업 상대적 효율성 평가: Clustering Analysis와 Data Envelopment Analysis를 활용하여)

  • Kim, Heenyun;Lee, Da Ho;Jeong, Ji Yun;Gu, Yeo Jeong;Jeong, Hyoung Sun
    • Health Policy and Management
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    • v.30 no.2
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    • pp.199-210
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    • 2020
  • Background: Based on the importance of ceasing smoking programs to control the regional disparity of smoking behavior in Korea, this study aims to reveal the variation of smoke rate and determinants of it for 229 provinces. An evaluation of the relative efficiency of the cease smoking program under the consideration of regional characteristics was followed. Methods: The main sources of data are the Korean Statistical Information Service and a national survey on the expenditure of public health centers. Multivariate regression is performed to figure the determinants of regional variation of smoking rate. Based on the result of the regression model, clustering analysis was conducted to group 229 regions by their characteristics. Three clusters were generated. Using data envelopment analysis (DEA), relative efficiency scores are calculated. Results from the pooled model which put 229 provinces in one model to score relative efficiency were compared with the cluster-separated model of each cluster. Results: First, the maximum variation of the smoking rate was 16.9%p. Second, sex ration, the proportion of the elder, and high risk drinking alcohol behavior have a significant role in the regional variation of smoking. Third, the population and proportion of the elder are the main variables for clustering. Fourth, dissimilarity on the results of relative efficiency was found between the pooled model and cluster-separated model, especially for cluster 2. Conclusion: This study figured regional variation of smoking rate and its determinants on the regional level. Unconformity of the DEA results between different models implies the issues on regional features when the regional evaluation performed especially on the programs of public health centers.

Regional Health Disparities of Self-Rated Health Using Cluster Analysis in South Korea (군집분석을 활용한 지역별 건강격차 연구: 주관적 건강수준을 중심으로)

  • Min-Hee Heo;Sei-Jong Baek;Young-Jin Kim;Jin-Won Noh
    • Health Policy and Management
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    • v.33 no.2
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    • pp.118-128
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    • 2023
  • Background: Personal socio-economic abilities are crucial as it affects health inequalities. These multidimensional inequalities across the regions have been structured and fixed. This study aimed to analyze health vulnerabilities by regional cluster and identify regional health disparities of self-rated health, using nationally representative cross-sectional data. Methods: This study used personal and regional data. Data from the Community Health Survey 2021 were analyzed. K-means cluster analysis was applied to 250 si-gun-gu using administrative regional data. The clusters were based on three areas: physical environment, health-related behaviors and biological factors, and the psychosocial environment through the conceptual framework for action on the social determinants of health. And binary logistic regression analyses were conducted to examine the differences in self-rated health status by the regional clusters, controlling human biology, environment, lifestyle, and healthcare organization factors. Results: The most vulnerable group was group 3, the moderate vulnerable group was group 1, and the least vulnerable group was group 2. The group 2 was more likely to have high self-rated health status than the moderate vulnerable group (odds ratio [OR], 1.023; p<0.001). And the group 3 showed low self-rated health status than the moderate vulnerable group (OR, 0.775; p<0.001). However, the moderate vulnerable group had significantly higher self-rated health status than the most vulnerable group (group 2: OR, 1.023; p<0.001; group 3: OR, 0.775; p<0.001). Conclusion: These results demonstrate that community members' health status is influenced by regional determinants of health and individual levels. And these contribute to understanding the importance of specific and differentiated interventions like locally tailored support programs considering both individual and regional health determinants.

Chracteristics of Primary Health Practice and Diagnosis-Cluster Pattern in Health Insurance (의원의 특성에 따른 상병진단군의 분포에 대한 연구)

  • Yoon, Jong-Ryool;Moon, Ok-Ryun;Huh, Jung;Kim, Chang-Yup
    • Health Policy and Management
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    • v.3 no.2
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    • pp.100-129
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    • 1993
  • This study is designed to find out some intra-clinic factors affecting the content of practice provided by primary care physicians in Korea, and proposed factors in this study are characteristcs of each private clinc --- physician-related variables(age, sex, specialty), bfed-related variables for inpatient care, laboratory-related variables for precise diagnosis. We have tried to estimate the difference of disease entities cared by each primary care physician according to above factors by analyzin gdisease data claimed during one month(April, 1992) to National Federation of Medical Insurance. The diagnosis codes by ICD-9 in the research disease data were reclassified to 'diagnosis clusters' by virtue of clinical similarities for effective analyses. We have converted frequent-tsing ICD-9 codes to 86 diagnosis clusters, which incorporated 97.4 percents of all ambulatory visits to private clinics. This result means proposed diagnosis-cluster method is effective tool for analysis of the content of ambulatory medical care carried out by primary care physicians. Comparisons and analyses of multiple diagnosis-clusters made on the basis of presented factors were done and the results were as follows; - Major factors affecting the difference between diagnosis-cluster pattern by each variables were phyusician's age, sex, specialty and bed counts of each private clinic for inpatient care and the size of laboratories of each clinic. - Middle aged(30th to 40th) group physicians are providing more comprehensive care than 20th or above 50th aged groups. Male physicians are more adequate for comprehensive care than female physicians, because woman-doctors are providing narrow-spectrum care. The content of practice of obstetricians and gynecologists shows much difference from primary medical practice, and they cannot be included in primary care physician, this study suggested. Pediatricians are also providing short-spectum acre, and nearly all visits to pediatricians were incorporated only 2-3 diagnosis-clusters. General surgeons' practices are very similar to general practioners' or family physicians' practices, the means they are providing primary care rather than special surgical care. And small number of beds(under 5 beds) and only basic(2-3 sorts of)diagnostic apparatuses are sufficient for primary physicians' clinic to carry out primary care. In conclusion, to reinforce primary care department in Korea, there must be support with health policy to expand office-based primary care practice-- with small number of beds for inpatient care and only basic laboratories-- provided by general practitioner of family physician.

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A Study of the Criticality and The Priority for Developing Creative Cluster of The National Industrial Complex - For the Gumi National Industrial Complex (국가산업단지의 창조클러스터화를 위한 발전방안 우선순위 도출: 구미국가산업단지를 대상으로)

  • Choi, Il-Yong;Han, Jang-Hyup
    • Journal of Korea Technology Innovation Society
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    • v.17 no.1
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    • pp.195-218
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    • 2014
  • Recently, due to the global economic crisis and prolongation of slow growth period, many countries have proposed creative economy as an important policy for economic growth. Korea has also progressed important policies such as development of creative industries, start-up activation and employment creation through creative economy as a key policy. However, each country has a different definition of creative economy and detailed field to promote, and there is a lack of research on creative economy of industrial complexes and activation plans of creative industries. This study derived the priority order and importance of development plans to develop into creative clusters through AHP analysis base on Gumi National Industrial Complex that have had a significant role in the national economy since the 1970s. As a result, the creativity enhancing factor was the highest priority, followed by creative infrastructure and network. These results mean that it is necessary to promote creativity in order national industrial complexes to continuously lead national economy and for this purpose it needs to prioritize the development of creative human resources and to extend the creative R&D. This study can be provided to government and local policy makers and innovation agencies as basis data and practical policy guide to establish a successful creative cluster by deriving the priority order in reflection of both hardware and software policies such as infrastructure to develop national industrial complex into creative cluster.

STI POLICY AND ACADEMY-INDUSTRY COOPERATION FOR INNOVATION AND ENTREPRENEURSHIP IN DAEJEON, KOREA (혁신과 창업을 위한 대전의 과학기술정책과 산학협력)

  • Lee, Won-il;Choi, Jong-in
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.10 no.1
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    • pp.33-44
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    • 2015
  • This study reviews technological innovation to examine science, technology, and innovation (STI) policies and strategies for academy-industry cooperation for innovation and entrepreneurship in Daejeon. STI policy in Daejeon is based on a vision that harmonizes regional and national policies at a regional level, fostering of a key innovation cluster and strategic industries in Daejeon, and a new growth engine of converging industries such as information technology (IT), biotechnology (BT), and nanotechnology (NT). This paper proposes the following: First, considering the harmony of national and regional policies, STI policy should be promoted at the regional level considering venture and SMEs. Second, we recommend nurturing a global innovation cluster as part of a regional STI and venture ecosystem. This will support the region of Daejeon as the heart of a global innovation cluster by having Daedeok Innopolis and the International Science and Business Belt as its two major axes. Third, we recommend strengthening academy-industry cooperation in Sejong and other regions.

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The Evaluation of Regional Innovation and Cluster Policies : Theory and Methods (지역혁신과 클러스터 정책의 평가: 이론과 방법)

  • Diez, Maria Angeles
    • Journal of the Korean Academic Society of Industrial Cluster
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    • v.1 no.1
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    • pp.1-15
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    • 2007
  • Regional innovation and cluster policies are the new agenda of regional policy, an agenda that began to spread over recent years throughout different countries and regions. In this context, our main question arises: how are we going to evaluate regional innovation and cluster policies? What models and methods are we going to use? Since 1990, regional and national governments have put more emphasis on evaluation as a tool directed to produce knowledge to design better policies. The objective of this article is to summarise the main challenges arising from the evaluation of regional innovation and cluster policies and make some methodological proposals that can contribute to produce better evaluations. In the first section, there is a brief presentation of regional innovation and cluster policies, followed by a more detailed analysis, in the second section, of their principal characteristics and of the main challenges posed by their evaluation. In the third section, some evaluation proposals that can help to improve current evaluation practice are presented. The paper concludes with a short number of general recommendations that we should bear in mind when designing an evaluation of regional innovation and cluster policies.

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The Roles of Intermediaries in Clusters: The Thai Experiences in High-tech and Community-based Clusters

  • Intarakumnerd, Patarapong
    • Journal of Technology Innovation
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    • v.13 no.2
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    • pp.23-43
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    • 2005
  • Industrial clusters are geographical concentrations of interconnected companies, specialised suppliers, service providers, firms in related industries, and associated institutions (for example, universities, standard agencies, and trade associations) that combine to create new products and/or services in specific lines of business. At present, the concept of industrial cluster becomes very popular worldwide, policy makers at national, regional and local levels and business people in both forerunner and latecomer countries are keen to implement the cluster concept as an economic development model. Though understanding of clusters and related promoting policies varies from one place to another, the underlying benefits of clusters from collective learning and knowledge spillovers between participating actors strongly attract the attention of these people. In Thailand, a latecomer country in terms of technological catching up, the cluster concept has been used as a means to rectify weakness and fragmentation of its innovation systems. The present Thai government aspires to apply the concept to promote both high-tech manufacturing clusters, services clusters and community-based clusters at the grass-root level. This paper analyses three very different clusters in terms of technological sophistication and business objectives, i.e., hard disk drive, software and chili paste. It portrays their significant actors, the extent of interaction among them and the evolution of the clusters. Though are very dissimilar, common characteristics attributed to qualified success are found. Main driving forces of the three clusters are cluster intermediaries. Forms of these organizations are different from a government research and technology organization (RTO), an industrial association, to a self-organised community-based organization. However, they perform similar functions of stimulating information and knowledge sharing, and building trust among participating firms/individuals in the clusters. Literature in the cluster studies argues that government policies need to be cluster specific. In this case, the best way to design and implement cluster-specific policies is through working closely with intermediaries and strengthening their institutional especially in linking member firms/individuals to other actors in clusters such as universities, government R&D institutes, and financial institutions.

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Implementation of Policy Based MANET Management System based on Active PDP Discovery (Active PDP Discovery에 기반한 정책 기반 MANET 관리 시스템 구현)

  • Huh, Jee-Wan;Song, Wang-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.11
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    • pp.3176-3182
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    • 2009
  • The PBNM on MANET is being researched to ensure the reliability and efficiency between mobile nodes. Therefore, it is essential to determine the cluster effectively which will perceive the movements of nodes and distribute the policies. In PBNM mechanism, to determine the node cluster for PDP and manage PEP nodes, Active PDP Discovery Protocol is proposed as a mechanism which is more efficient than preexistent techniques. While k-hop cluster selects the PEP nodes which PDP node manages, Active PDP Discovery actively selects the PDP node among the moving PEP node. This method prevents orphan nodes that are not connected to PDP and reduces continual broadcasting messages. This paper implements Active PDP Discovery which determines cluster in the real networks and analyzes its capability, expanding COPS-PR to detect the movement of nodes and adding MNL to PDP node.

A study on the Methodology for Vitalization of the Mini-cluster Network in Industrial Parks (산업단지 미니클러스터 네트워크 활성화 방법론)

  • Mun, Mun-Chol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.4
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    • pp.1675-1683
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    • 2011
  • The cluster project in Korea has restructured to develop the cluster into a core engine for the pan-regional development policy and connect industrial parks across the country. Korean government has made great efforts to attract research institutes, support organizations and universities in industrial parks and enhance growth potential through a close cooperation network. Especially A mini-cluster is an integrated group joined by companies, universities and research institutes and support organizations. It has been developing business opportunities through industry-academia-research cooperation and providing assistance through network activities. Mini clusters have implemented a variety of network activities. This paper proposed three strategies to accomplish self-sustainable growth of mini-clusters. First of all, mini-cluster needs to provide useful contents that can attract the participation of members. Then it is necessary to promote mini-cluster initiative. Finally, mini-clusters need to make up a cooperative culture.