• Title/Summary/Keyword: 클러스터 정책

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A Study on the Differentiation of Policy Instruments According to the Characteristic Factors of Apparel Sewing Micro Manufacturers Clusters in Seoul (서울시 의류봉제 소공인클러스터의 특성요인에 따른 정책수단 차별화에 관한 연구)

  • Young-Su Jung;Joo-Sung Hwang
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.3
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    • pp.238-255
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    • 2023

  • In this study, we derived the characteristic factors of the cluster as measurable variables, and attempted to clarify the characteristics of the apparel sewing areas in Changsin-dong, Doksan-dong, and Jangwi-dong. Based on these results, a comparative analysis was conducted to see how the demand for the government's support policy differs for each agglomeration area. Materials were collected through face-to-face questionnaires targeting tenant companies in the three regions. As a result of the analysis, Changsin-dong was identified as an "innovative growth type," Doksan-dong as a "networking type," and Jangwi-dong as a "specialized localization type." As a result of the research on policy demands, the policy demands of the three agglomerations appeared different, but Changsin-dong preferred capacity building, Doksan-dong preferred information provision, and Jangwi-dong favored policy means of benefit. It was confirmed that even among clusters of the same apparel sewing industry, the formation process and characteristics are different, and as a result, the demand for policy instruments is also different. Policy recommendations include understanding the characteristics and policy demands of each agglomeration area through periodic fact-finding surveys, and recommending the establishment and implementation of differentiated support policies that match the characteristics of each agglomeration area.

  • https://doi.org/10.23841/egsk.2023.26.3.238 인용

Opportunities and Limitations of the Establishment of Institutional Capacity for the Formation of a Regional Industrial Cluster: A Case Study of the IT Industry in Chun-Cheon City (지역 산업클러스터 형성을 위한 제도적 역량 구축의 가능성과 한계: 춘천시 IT산업을 사례로)

  • Hwang, In-Kyun;Jung, Sung-Hoon
    • Journal of the Economic Geographical Society of Korea
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    • v.13 no.4
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    • pp.623-640
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    • 2010

  • The aim of this paper is to explore opportunities and limitations of the top-down approach to build institutional performance by analyzing the process of local government-led cluster's initiatives. In doing so, this paper investigates processes of the design and implementation of cluster's policy as well as firms' innovative capacities. As the result, it reveals the fallacy of the local government's policy in planning industrial clusters, the inconsistence of cluster initiatives due to changes of regional vision providers, weakness of innovative performance of IT firms supported by the local government in the region. It should be concluded that Chun-cheon City did not succeed in accumulating institutional capabilities which were crucial to implement a cluster initiative.

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A Brief Clustering Measurement for the Korean Container Terminals Using Neural Network based Self Organizing Maps (자기조직화지도 신경망을 이용한 국내 컨테이너터미널의 클러스터링 측정소고)

  • Park, Ro-Kyung
    • Journal of Korea Port Economic Association
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    • v.26 no.1
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    • pp.43-60
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    • 2010

  • The purpose of this paper is to show the clustering measurement way for Korean container terminals by using neural network based SOM(Self Organizing Map). Inputs[Number of Employee, Quay Length, Container Terminal Area, Number of Gantry Crane], and output[TEU] are used for 3 years(2002,2003, and 2004) for 8 Korean container terminals by applying both DEA and SOM models. Empirical main results are as follows: First, the result of DEA analysis shows the possibility for clustering among the terminals and reference terminals except Gamcheon and Gwangyang terminals because of the locational closeness. Second, the result of neural network based SOM clustering analysis shows the positive clustering in clustering positions 1, 2, 3, 4, and 5. Third, the results between SOM clustering and DEA clustering show the matching ratio about 67%. The main policy implication based on the findings of this study is that the port policy planner of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the clustering measurement way for the Korean container terminals using neural network based SOM with DEA models for clustering Korean ports and terminals.

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