Journal of the Korean Geographical Society (대한지리학회지)

The Korean Geographical Society (대한지리학회)
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The Statistically and Economically Significant Clustering Method for Economic Clusters in an Urban Region

통계적 및 경제적 유의성을 가진 경제 클러스터 탐식방법에 대한 연구

  • Shin Jungyeop (Department of Geography Education, College of Education, Seoul National University)
  • 신정엽 (서울대학교 사범대학 지리교육과)
  • Published : 2005.06.01
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Abstract

With the trend of urban polynucleation, the issue of detecting economic clusters or urban employment centers has been considered as crucial. However, the prior researches had some limitations in detecting economic clusters in the empirical analysis: i.e. inherent inefficiency of density-based clustering methods, difficulty in detecting linear types of spatial clusters and lacks of consideration of economic significance. The purpose of this paper is to propose the clustering method with the procedure of testing statistical and economic significance named as VCEC (Variable Clumping method for Economic Clusters) and to apply it to a case analysis of Erie County, New York, in order to test its validity. By applying a search radius and a total employment as an economic threshold, 'the both statistically and economically significant clusters' were detected in the Erie County, and proved to be efficient.

경제 클러스터와 도시 고용중심지에 대한 연구는 최근 지리학 분야에서 매우 중요하게 다루어지고 있다. 그러나 경제 클러스터 탐색을 위한 기존 연구들은 탐색방법의 내재적 한계, 선형 클러스터 탐색의 비효율성, 경제적 유의성 검증의 부족등의 문제를 내포하고있다 본 연구의 목적은 경제 클러스터 탐색방법으로서 통계적, 경제적 유의성을 검증하는 VCEC(Variable Clumping method for Economic Clusters)를 제안하는 것이고, 이를 바탕으로 미국 뉴욕주 이리 카운티(Erie County)의 경제 중심지 탐색을 위한 실증적 경험 사례분석을 하는 것이다. 다양한 탐색 반경과 총 고용인구 한계치의 적용을 통해 통계적, 경제적인 유의성을 가진 경제중심지 탐색이 가능하였다.

Keywords

References

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