As the competitiveness of small and medium businesses is getting more and more improved and globalized, the government provides various consulting services to secure the competitiveness of small and medium firms and support stable growth. However, the assessment of the result from the government’s support is generally focused on non-financial factors, such as customer satisfaction afterwards and analysis of improvement effect. This paper is in regards to the analysis of how much the government’s support in the form of providing consulting services contributes to financial outcomes and to the analysis of the gap of performances among the types of consulting services. We verified the statistical significance of our hypothesis through SAS9.4 and SPSS 22, conducting comparative analysis of the business growth and profitability based on the yearly balance sheets and income statements of 44 corporations which government supports and 150 corporations which are for comparison. The data is gained from CRETOP, Korea Enterprise Data, and the testing model is chosen as the business of support center for corporate growth, which is a customized supporting business of the Ministry of Trade, Industry, and Energy. As a result, in terms of business growth, it turned out to have positive difference in growth ratio compared to the industrial average and compared corporations and to have significant difference in terms of profitability as well. Since, this paper shows that the different supporting ways have significant difference, we would say that this paper is meaningful in that it may propose a guidance for government to set strategies of government-supporting businesses.

본 연구는 산업집적의 공간적 패턴과 구조를 분석하여 고집적지(핫스팟)를 찾는 데 있다. 이를 위해 본 연구는 경기도 지식기반산업을 대상으로 경기도 31개 시·군 및 538개 읍면동 단위를 분석하였다. 분석을 위해 이용된 방법은 대표적인 공간통계기법 중 고집적지를 찾는데 탁월하다고 알려진 Getis-Ord’s Gi *와 입지계수(LQ: Location Quotients)의 약점을 보완하고자 제시된 Flegg’s Location Quotients (FLQ)이다. 이 방법들로 찾은 고집적지는 공통적으로 비슷한 지역을 찾아내고 있는 것으로 분석되어 집적분석을 통해 산업을 분석하기 위한 기초자료로 활용될 수 있을 것으로 보인다. 본 연구는 산업의 공간적 분포패턴을 종합적으로 분석하는 방법론을 제시하였다는 데 의의가 있으며 이를 통해 경기도가 추구하는 지역혁신체계를 추구하기 위한 클러스터 정책을 펼치는데 유용한 정보를 제공해 줄 수 있을 것으로 보인다.