This study aims at improving(optimizing) the industrial location policy in emerging industries on the base of their location patterns and characteristics. For this, this study defines an emerging industry conceptually and presents its classification standard by using 5-digit standard industry classification. And then this study ascertains and classifies agglomeration locations of emerging industries. And by selecting representative locations by type, and analyzing their time-space patterns, we explored the existence, emerging period, boundaries of clusters.
In order to understand location patterns and characteristics of emerging industries at the micro level, we analyzed location motivations, location determinants, satisfaction level, we analyzed location motivations, location determinants, satisfaction level with location environments, and improvements on location policy from a survey of IT (Information Technology), BT(Biotechnology), ET(Energy Technology), and CT(Culture Technology) firms. Additionally we examined incubation and location policy, and national and international trends for IBEC-T industries. From the results of these analyses, we recommended some improvements on industry location policy for emerging industries.
In this study, “an emerging industry” is an industry which is not growing fast in the past, but is growing at the high rate recently or showing the growth potential in the future, and which is at the early stage of comparative advantage. The advent of emerging industries is due to the development of new markets, new raw materials, new technology, new products, new firm organizations, and so one. Emerging industries by new technology are 6T (IT, BT, ET, CT, NT, and ST) industries, and especially IBEC-T industries are defined as emerging industries in this study.
Time-Space Patterns in Emerging Industries
By considering industry employment shift at the national level and industry structures in advanced nations, we ascertained emerging industries and agglomeration locations, and classified these locations by industry. We analyzed the clustering process by region on some out of these locations by using time series analysis of spatial distance, time-space K-function, and local knox statistics. Clusters were established at the specific time and space by region. We examined the clustering process by region on some out of these locations by using time series analysis of spatial distance, time-space K-function, and local knox statistics. Clusters were established at the specific time and space by region. We examined the clustering process of 8 agglomeration locations: Geumcheon, Paju, Cheongwon/Jincheon, Eumseong, Gumi, Chilgok, Gangseo, and Gimhae. As a result, in 6 out of 8 regions (Paju, Cheongwon/Jincheon, Eumseong, Gumi, Chilgok, Gimhae), clusters were established within 2 km radius. Clusters were established within 1 km radius over 4-5 years in Geumcheon, Seoul and Gangseo, Busan. However the cluster in Gangseo, Busan was not significant statistically.
Location Characteristics in Emerging Industries
Except for Eumseong, we carried out a survey of firms on 8 agglomeration locations (Geumchoen, Paju, Cheongwon, Jincheon, Gumi, Chilgok, Gangseo, and Gimhae), in order to examine location patterns and characteristics. The result of the survey analysis shows that IBEC-T firms have different location characteristics from other firms, and that IT, BT, ET, and CT firms show respective location patterns as follows. (The rest is omitted)
- 신성장산업의 입지패턴 분석을 통한 산업입지정책 개선방안 연구(Improvement strategy of industrial location policy through analyzing location pattern in emerging industries)
- 권영섭; 김은란; 김대종; 구정은
신성장산업의 입지패턴 분석을 통한 산업입지정책 개선방안 연구(Improvement strategy of industrial location policy through analyzing location pattern in emerging industries)
|Series Title; No||국토연 / 2009-38|
|Subject Country||South Korea(Asia and Pacific)|
|Subject||Industry and Technology < General
Territorial Development < National Land Development