논문명 |
[박사학위] 도시 첨단산업클러스터의 입지요인 분석 / An Analysis on Locational Factors of Urban Industrial Cluster |
수록사항 |
국토계획, v.44 n.2(통권 169호) (2009-04) |
요약2 |
This study aims to analyze a spatial concentration and network of Seoul Digital Valley as a representative case of urban industrial complex in Korea and secondly, to identify locational factors of Seoul Digital Valley and finally to suggest a policy implication. Also this study extract variables affecting business' decision to stay or leave to other areas and interpret its meaning. The frequency of firms surveyed by business type, business scale, development phase etc is analyzed. The forward and backward linkage of planning-R&D-production-marketing are also analyzed. And also the location of R&D service is almost in Seoul Digital Valley. The results show that the businesses in Seoul Digital Valley are R&D-oriented small and medium enterprises. The frequency and the magnitude of the locational advantages is analyzed. The result shows that the advantages responded frequently are as follows: location cost, transportation infrastructure, service facilities, pleasant environment, telecommunication infrastructure, accessibility to urban center or major facilities. This show the result of factor analysis on locational advantages to extract new factors representing the similar group of locational advantages. There are five factors which has eigen value over 1.0. And those five factors can explain 62.8% of all variance. Five factors could be named as locational factor of business support, locational factor of physical facilities, locational factor of environment, locational factor of business clustering, locational factor of support policies. The probability of continuous stay is analyzed to find out which locational advantage affect the decision on "stay or not" of the firms in Seoul Digital Valley. The result of logistic regression shows that the variables positively affecting the decision of remaining are accessibility to customers and market, concentration of the same business type for technology cooperation, technology cooperation with a higher research and education institute, easiness of using technology support institute, support policy or program of local government, easiness of expansion, brand value of Seoul Digital Valley, transportation easiness to related firms, telecommunication infrastructure, linkage with R&D and production, accessibility to urban center or major facilities, service facilities. The result of logistic regression shows that the variables negatively affecting the decision of remaining are accessibility to suppliers, easiness of securing a high class work force, concentration of business support service, enlargement of market, regional quality for innovation and cooperation, support policy or program of central government, plenty of learning opportunity, location cost, transportation infrastructure, pleasant environment. In summary, the locational advantages of Seoul Digital Valley are formed focusing on physical and environmental factors and these could induce high technology firms to Seoul Digital Valley. But the support on technology innovation and R&D related innovation is necessary to upgrade the competitiveness of Seoul Digital Valley. |