자기조직화지도를 이용한 일반산업단지 분양속도와 지역 경제 성장과의 특성 분석
Analyzing Characteristics of Sales Velocity in General Industrial Complexes and Local Economy Growth using Self-Organizing Map
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The ultimate purpose of general industrial complex development is economic growth through job creation in the region. This study aims to analyze characteristics of the relationship between the development of general industrial complexes and the economic growth of the region. We conducted a cluster analysis using a self-organizing map(SOM) technique to analyze the relationship between the sales velocity of 72 general industrial complexes nationwide and the increase in the number of businesses, the number of workers, the gross regional domestic product, and the index of land price fluctuations, which are economic indicators of the region. The results show that if industrial complexes are located in a large city, the economic growth rate in the region is very high if the sale velocity is fast, and even if slow, the increase in economic indicators is high. On the other hand, if located outside a large city, the regional economic growth rate is above average if they are in the capital area, but if in a province, the sale rate and the growth of economic indicators is very low. In addition, medium and large scale businesses favored by young people also show a large increase only when industrial complexes are developed in the capital area and large cities. We believe that this study will help establish effective policies by suggesting conditions for achieving regional economic growth through industrial complex development.
Abstract
The ultimate purpose of general industrial complex development is economic growth through job creation in the region. This study aims to analyze characteristics of the relationship between the development of general industrial complexes and the economic growth of the region. We conducted a cluster analysis using a self-organizing map(SOM) technique to analyze the relationship between the sales velocity of 72 general industrial complexes nationwide and the increase in the number of businesses, the number of workers, the gross regional domestic product, and the index of land price fluctuations, which are economic indicators of the region. The results show that if industrial complexes are located in a large city, the economic growth rate in the region is very high if the sale velocity is fast, and even if slow, the increase in economic indicators is high. On the other hand, if located outside a large city, the regional economic growth rate is above average if they are in the capital area, but if in a province, the sale rate and the growth of economic indicators is very low. In addition, medium and large scale businesses favored by young people also show a large increase only when industrial complexes are developed in the capital area and large cities. We believe that this study will help establish effective policies by suggesting conditions for achieving regional economic growth through industrial complex development.
참고문헌 (20)
- 고영선, "더 많은 대기업 일자리가 필요하다", KDI FOCUS, 130 (2024)
- 제4차 국가균형발전 5개년 계획(2018~2022), "국가균형발전위원회", ~ (2019)
- 지역이 주도하는 혁신성장을 위한 지역혁신체계개편방안, "국가균형발전위원회", ~ (2019)
- 박우열, "흙막이 공법 선정을 위한 나이브 베이지안 분류기와 자기 조직화 지도 모델의 비교 연구", 대한건축학회논문집 구조계, 28(12)통권 : 290 (2012)
- 서종모, "기수역에서 SOM을 이용한 동물플랑크톤 군집과 수질인자의 패턴분석", 석사, pp.2018
- 신동범, "입지 요인이 일반산업단지의분양속도에 미치는 영향", 22(2)통권 : 64, pp.137~147 (2024), 한국주거환경학회
- 산업단지 미분양 발생 특성 분석 및 정책과제, "이윤석", 국토연구원, ~ (2016)
- 일자리창출과 제조업혁신을 위한 산업단지 대개조 계획, "일자리위원회(관계부처협동)", ~ (2019)
- 정병화, "지역별 정책제시를 위한 자기조직화지도 기반의 군집분석과 평가", 대한지리학회지, 54(3), pp.387~404 (2019)
- 조성철, "산업단지 배후지역의 정주여건이산업시설용지 분양률에 미치는 효과", Journal of Real Estate Analysis, 3(2), pp.77~92 (2017)
- '23년 균형발전 지표 현황, "지방시대위원회", ~ (2024)
- Alexiou, A., "A Classification of Multidimensional Open Data for Urban Morphology", Built Environment, 42(3), pp.382~395 (2016)
- Arribas-Bel, D., "Self-organizing maps and the US urban spatial structure", Environment and Planning B, 40(2), pp.362~371 (2013)
- Kohler, A., "Unsupervised feature selection and general pattern discovery using self-organizing maps for gaining insights into the nature of seismic wavefields", Comput. Geosci., 35, pp.1757~1767 (2009)
- Kohonen, T., "Self-Organzing Maps, 3rd edition" (2001), Springer
- Mekler, A., "Quality assessment of data discrimination using self-organizing maps", J.Biomed. Inform., 51, pp.210~218 (2014)
- Nam, H. K., "Patterning waterbird assemblages on rice fields using self-organizing map and random forest", Korean J. Environ. Agric., 34(3), pp.168~177 (2015)
- Spielman, S. E., "Social area analysis, data mining, and GIS", Computers, Environment and Urban Systems, 32(2), pp.110~122 (2008)