빅데이타 분석을 통한 한국 제조업 산업 생태계 연구

We try to study the ecosystem for the manufacturing firms using more than 50 thousand transaction data of 2015, provided by Korean enterpirse data (KED) to help the industrial and employment policy. We find Manufacturing firms to be grouped into 134 clusters with more than 10 firms occupying 77.1% of whole manufacturing firm sales. The firms in a cluster have most of transactions with the firms in the same cluster. Most of the clusters have a few main firm having more than 60% sales portion in the clusters. We present the result of 42 main firms's production and employment linkage effect on the big enterprise and small and medium size enterprises (SME) for each clusters in this paper using firm linkage analysis similar to industry linkage analysis. We find SMEs have much higher Employment coefficients than the large size ones in manufacturing industry. These clusters mainly produce consumer and industrial goods for domestic demand. The main firm of these clusters also have rear high production and employment linkage effect on SMEs in the same cluster or in other clusters. These firms should be considered important in SME growth and employment policy. The 135th firm group consists of small clusters with less than 10 firms is important due to highest portion of employment in manufacturing industry. We find the 4 clusters having high employment linkage effect on this group and these clusters are also the ones producing domestic consumer and industrial goods, implying that domestic industry should be considered very important in employment policy. And we find the manufacturing companies and clusters with specially high betweenness coefficients, one of SNA indexes. we should consider them very important in terms of R&D policy because they mediate many transactions of the manufacturing firms leading to technology development.