• Title/Summary/Keyword: Cluster Policy

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Case Study on Measuring Technology Level Applying Growth Curve Model: Three Core Areas of Fishery Science and Technology (성장곡선 모형 적용을 통한 기술수준평가 사례 연구 : 특정 수산과학기술 분야를 중심으로)

  • Kim, Wan-Min;Park, Ju-Chan;Bark, Pyeng-Mu
    • The Journal of Fisheries Business Administration
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    • v.46 no.3
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    • pp.103-118
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    • 2015
  • The purpose of this paper is to discuss possibilities of applying growth curve models, such as Logistic, Log-Logistic, Log-Normal, Gompertz and Weibull, to three specific technology areas of Fishery Science and Technology in the process of measuring their technology level between Korea and countries with the state-of-the art level. Technology areas of hazard control of organism, environment restoration, and fish cluster detect were selected for this study. Expert panel survey was conducted to construct relevant panel data for years of 2013, 2016, and a future time of approaching the theoretical maximum technology level. The size of data was 70, 70 and 40 respectively. First finding is that estimation of shape and location parameters of each model was statistically significant, and lack-of-fit test using estimated parameters was statistically rejected for each model, meaning all models were good enough to apply for measuring technology levels. Second, three models other than Pearl and Gompertz seemed very appropriate to apply despite the fact that previous case studies have used only Gompertz and Pearl. This study suggests that Weibull model would be a very valid candidate for the purpose. Third, fish cluster detect technology level is relatively higher for both Korea and a country with the state-of-the-art among three areas as of 2013. However, all three areas seem to be approaching their limits(highest technology level point) until 2020 for countries with the state-of-the-art. This implies that Korea might have to speed up her research activities in order to catch up them prior to 2020. Final suggestion is that future study may better apply various and more appropriate models respectively considering each technology characteristics and other factors.

A Study on Travel Pattern Analysis and Political Application using Transportation Card Data: In Gyeonggi-Do Case (교통카드자료를 이용한 통행패턴분석과 정책활용방안 연구 -경기도를 중심으로-)

  • Bin, Miyoung;Moon, Juback;Joh, Chang-Hyeon
    • Journal of the Economic Geographical Society of Korea
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    • v.15 no.4
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    • pp.615-627
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    • 2012
  • This study analyzed the travel pattern with respect to use of public transportation by using transportation card data and presented the measures that can be used in a traffic policy. Transportation card data targeted Gyeonggi-Do area and as a utilization plan, a scenario that when a traffic policy decision maker improves bus stop facilities, the person selects a target site by using several variables that can be obtained from transportation card data was set and analyzed. The analysis result showed that K means cluster analysis which is decision making methodology and CHAID(Chi-squared automatic interaction detection) were used and it can be used usefully in policies in significance level of p <0.01. Also, based on these results, this study presented policy implications to be improved to actually use transportation card data in policies.

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Local Governments′ Housing Information System (지방정부의 주택정보서비스체계구축방안 및 사례연구)

  • 윤혜정
    • Journal of the Korean housing association
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    • v.15 no.2
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    • pp.27-34
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    • 2004
  • The purpose of this study has two folds. For the local government it gives a guide to establish the housing information system, which provides various housing information in order to promote service to the public on Internet. It also gives a guide for the local government to collect the fundamental data from local housing market and provide them to the policy makers as well as the housing producers (landlords, builders and owner-occupiers). Contents of housing information system website for the local government consist of three main parts. The first part provides housing policy and local housing market information to the upper level local government as well as housing producers. The second part provides housing information for the people who are looking for houses to move the own. Final part provides the procedures of building construction and development plan for landlords to the public. In case of Pyongtaek-City, this study makes them by cluster analysis of houses and households moving pattern as the Internet contents. Housing markets of Pyongtaek-City divide 3 sectors by housing type, tenure type and housing supply ratio etc. And populations prefer to move intra sectors. According to this information, policy-makers should define local housing problems and find solutions and housing producers can supply the house just in sites and in time. In conclusion, local government should provide valuable housing information based on local housing market research to the public for the effective housing policy. As local housing market is formed by various factors it is needed for local government to research housing sub-markets due to apply these research results to the local government for the future.

A Model for Developing Urban Innovation Clusters

  • Morse, Sidney
    • World Technopolis Review
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    • v.2 no.2
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    • pp.81-95
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    • 2013
  • This paper seeks to build on previous work conducted by Porter, Devol, Florida, Bahrami and Evans, Wennberg and Lindqvist, and others contained in the literature, to construct a new way of looking at innovation cluster development. It seeks to describe the key elements contained in the research that serve as building blocks for innovation clustering, adding analysis dimensions that aim to further illuminate understanding of this process. It compares those building block characteristics to the innovation topography of U.S. urban centers, to shed light on a new framework through which urban innovation cluster formation can be considered. It identifies three building block analysis categories: 1) Technological Capability and Capacity (TCC); 2) Intellectual Propulsion Capacity (IPC); and 3) Structural Creative Inspiration (SCI). These three pillars form the architecture for creation of a Strategic Innovation Network (SIN), upon which clustering can be systematically analysed and built. The purpose of the SIN is to optimally organize and connect all available resources that include physical, financial, and human, such that innovation clustering is inspired, encouraged, nurtured, and ultimately constructed as fully functioning socio-economic organisms that provide both local and regional benefits. It is designed to aid both private enterprise and public policy leaders in their strategic planning considerations, and to enhance urban economic development opportunities.

The Strategy for Participation of international R&D Cooperation for Korean Companies -specially EU Cluster Program- (우리나라 기업 국제공동연구 참여전략에 관한 연구 -EU의 EUREKA Cluster를 중심으로-)

  • Kim, Jin-Suk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.2
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    • pp.648-653
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    • 2012
  • The government announced a strategy for the world's leading science and technology from 2008 to 2012. South Korea government has committed 1.3 percent for joint research projects research among total budget. The goal of this paper is to find Strategy for international technological participating particularly EU. This paper consists of six chapters. Chapter 2 the status of international collaborative research participation of korean companies. Chapter 3 is the theoretical basic. Chapter 4 is research methods. Chapter 5 of this paper is presented EUREKA collaboration as core of this paper. Chapter 6 hat conclusions and policy proposals.

Clustering Patterns in the Manufacturing Sectors of Japan

  • Carvajal, Carlos A.;Watanabe, Chihiro
    • Journal of Technology Innovation
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    • v.12 no.2
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    • pp.99-126
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    • 2004
  • Japan's economic clusters are characterized by their high level of diversity. In essence, Japanese economic clusters are not limited to single industries; they comprise numerous manufacturing industries and firms which cluster in specific heterogeneous economic zones, vice political boundaries. Japanese manufacturing sectors are showing an increased level of diversity, resulting in the spread of experience and knowledge among clusters, and sustained growth at the point of industrial structural transformation. Japan's Ministry of Education, Culture, Sports, Science and Technology (MEXT) proposed the creation of intellectual clusters for the purpose of promoting research and development(R&D) activities resulting in the stimulation and development of new technologies. The Ministry of Economy Trade and Industry (METI) is also proposing the industrial cluster plan with the aim to promote the local rebirth and revitalization of the Japanese industrial sector. This paper proposes a methodological analysis which will result in the integration of the two policies currently implemented by the Japanese government. If the current policies are not coordinated and integrated, artificial firms and sectors will continue to hamper innovation and discourage competitiveness, which will ultimately result in Japan's loss of economic opportunities within Asia. In the worst case, failure to act on current economic deficiencies illuminated in this paper could cost Japan its position as an Asian economic leader.

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Evaluation of research performances for 28 national universities (국내 28개 국공립대학교의 연구성과에 대한 평가)

  • Jeong, Dong Bin
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1241-1251
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    • 2014
  • Based on the 4 principal research-performance criteria in 28 national universities in Korea, both cluster analysis and multidimensional scaling are performed in this paper. We can classify and/or specialize the initially unknown groups into a group of relatively homogeneous universities and then create new groupings without any preconceived notion of what clusters may arise. Furthermore, the level of similarity of individual universities can be visualized on the multidimensional space so that each university is then assigned coordinates in each of the 2 dimensions. Both types and characteristics of each university can be relatively evaluated and be practically exploited for the policy of the university authority through these results.

Classifying Agricultural Districts for Prioritizing Groudwater Development Area based on Correlation and Cluster Analysis (가뭄 대응형 지하수 개발 우선순위 선정을 위한 농촌용수구역의 유형 분석)

  • Oh, Yun-Gyeong;Lee, Sang-Hyun;Kim, Ara;Hong, Soun-Ouk;Yoo, Seung-Hwan
    • Journal of Korean Society of Rural Planning
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    • v.26 no.2
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    • pp.51-59
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    • 2020
  • In this study, we analyzed the characteristics of 511 agricultural districts through statistical data, and classify these districts as the vulnerable area to drought through correlation and cluster analysis. The criteria for classification was related to ground-water recharge, irrigation water demand, and water supply. As a result, 8 types of agricultural districts were extracted. For example, the type 1 indicated the high priority area for ground-water development, thus the districts which were classified as type 1 showed ground-water use was less than 80 % of maximum capacity, and irrigation water supply was only 37.5 % and 76.5 % of irrigation water demand in upland and paddy field, respectively. As a result, 44 of 511 districts were classified as type 1.36 districts (types 5-8) were areas where groundwater development is limited. The results of this study are expected to provide useful information for establishing the direction of the rural area development project in connection with the revitalization of policy of people return to rural area.

Effects of Technical Cooperation Activities on the Innovation Performance of Firms in the Same Region (동일지역 내 기술협력 활동이 기업의 혁신성과에 미치는 영향 : 충청권 제조기업을 중심으로)

  • Jeong, Sun Young;Hong, Sung Pyo;Back, Minhee
    • Journal of Korea Technology Innovation Society
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    • v.21 no.4
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    • pp.1493-1507
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    • 2018
  • In this study, based on the results that cooperation increases innovation or increases innovation performance in the same region, the result is that the effects of cooperation in the same region will be more effective, thus starting with the assumption that the innovation performance will be higher. The analysis results showed that the collaborative experience in the same region greatly increases the results of innovation, indicating that the location of cooperative targets in cooperation could be an important decision factor. The implications of this result are that it could have a significant impact on a company's innovation performance. This means that the country's industrial policy should be established in the direction of cluster formation.

A Study on Evaluation of Online Trading System in MRO Supply Business

  • JEONG, Dongbin
    • The Journal of Economics, Marketing and Management
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    • v.10 no.2
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    • pp.1-13
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    • 2022
  • Purpose: The findings are expected to be used as basic data for policy establishment for systematic support and upbringing of small and medium-sized suppliers through the current status and characteristics of the industrial structure of the MRO consumable materials industry as a whole and the market trend. Research design, data, and methodology: This survey is conducted in 2019 mainly for companies that operate consumable materials delivery business, and the survey size is about 25,000 in advance (selected) and about 2,000 in the main survey. Using cluster analysis and multidimensional scaling, we derive the visualization of the homogeneous grouping of cases and the relationship structure between them. Results: Based on the attributes of reason for not having an online trading system, it is classified into three and four clusters for industry and company size, respectively, and the feature and pattern of each individual can be are relatively evaluated and visualized. Conclusions: Small and medium-sized consumable material suppliers specialize in products rather than fierce pricing strategies or external expansion strategies and it is more effective to establish a plan to promote the growth of both large and small enterprises through cooperation with large corporations.