기술혁신이론 관점의 지역경제성장 요인 연구

한정숙 ( Jeong Sook Han ) 한국생산성학회 2014 生産性論集 Vol.28 No.4

Many important researches have been focused on identifying the root causes that make a significant difference in income, added value, productivity and so forth. However, this study aims to understand how innovative capabilities impact on the economy growth in a particular region among the regions in the perspective of technological innovation. Before analyzing the regional growth into the level of innovative capability, a data sheet has been prepared for the study which is made of the level of innovative capability, socio-economic data for 16 different local governments. It went through a data transforming process to offset the effect of regional size difference as well as to overcome the economy of scale by which it introduces a value per capita or a common logarithm for better estimation. The time table is set from 2006 to 2012 for a period of 7 years since the data for regional investment is available from 2006, and it also includes the Sejong-city into Chungcheongnam-province due to maintaining consistency in categorizing regions. Appraisal model uses GRDP(Gross Regional Domestic Product) as a dependent variable and various innovation factors as independent variables with industrial variables and socio-economic variables as control variables as well. After analyzing overall regions, a comparative study has been subsequently carried out to draw any substantial implication in the policy making. While Module I is used for the total of 16 metropolitan city or Do, Module II is applied to a separate set of city or Do in which each has 8 data. Module Ⅲ has followed the steps to compare the size effect of economy between two groups of 6 regions with high or low GRDP. In the perspective of technology innovation, it can be summarized as follows: The regional economic growth has a negative correlation against the government sponsored R&D investment whereas it has a positive correlation with total amount of R&D investment and the number of researchers or 4-year colleges in the region. It implies the government sponsored R&D has been invested to regions from the standpoint of regional balanced development. Conversely, the autonomous investment is active in the private sector among regions with high economic growth. There are important policy implications from the result of empirical study: Firstly, government innovation policy should be diversified to each region having different economic environment and growth stage. Secondly, GSR(Government Sponsored R&D) for service industry should be enlarged because the weight of service industry and national R&D investment have no relationship from the empirical result of the regional analysis. Thirdly, national innovation policy should be led and focused on the efficiency of science and technology policy. One can expect to virtuous circle like "improvement of innovative capability of the region → regional economic growth → expansion to adjacent region → national-wide economic growth" through differentiated Science & Technology innovation policies depending on the situation of a given region.

사회적 자본의 의미와 지역혁신과의 연계성

박종화 국토연구원 2019 국토연구 Vol.103 No.-

This research examines the relationship between social capital, regional innovation capability, and regional innovation, and emphasizes the complexity and reciprocal circularity of the relationship. In contrast to the conventional linear innovation approach that emphasizes unidirectional innovation process in the regional development model, it emphasizes a dynamic approach that more comprehensively examines the impact of social capital on regional innovation capability or regional innovation. The analysis shows that the dual aspect of social capital as a resource and result of regional innovation is prominent. Social capital can, among other things, contribute to the formation of regional innovation capability and regional innovation. Moreover, social capital needs to be examined as a result of regional innovation along with its role as a ‘hidden link’ of regional innovation capability. Here, for the role of social capital as a resource of regional innovation, this research has, first of all, analyzed the connection between the components of regional innovation and social capital, illuminated the two aspects of social capital using contradicting empirical analysis results, and analyzed the function of social capital as a 'hidden link' of regional innovation capability. In terms of core components and circular processes, this research has, for the aspects of social capital as a result of regional innovation, revealed the formation and operation of cooperation norms and participation networks, the reinforcing aspects of the virtuous circle of collective actions, and the emergence and flow of new equilibrium. 본 논문은 사회적 자본, 지역혁신역량 및 지역혁신간의 관계성을 검토하고, 그 관계성의 복잡성과 상호적 순환성을 강조한다. 지역개발모형에서 단일 방향적 혁신을 강조하는 전통적 선형혁신접근방법과 대조적으로, 지역혁신역량이나 지역혁신에 대한 사회적 자본의 영향을 보다 포괄적으로 검토하는 동태적접근방법을 강조한다. 분석결과, 지역혁신의 자원이자 결과로서의 사회적 자본의 이중적 측면이 두드러진다. 사회적 자본은 무엇보다도 지역혁신역량의 형성과 지역혁신에 기여할 수 있다. 더욱이, 사회적 자본은 지역혁신역량의 ‘숨겨진 매듭’으로서의 역할과함께 지역혁신의 결과로서 검토될 필요가 있다. 여기서는 지역혁신의 자원으로서의 사회적 자본의 역할측면으로서 우선 지역혁신의 구성요소와 사회적 자본의 연계성 분석, 상충적인 실증분석결과를 활용한사회적 자본의 두 가지 모습에 대한 조명, 지역혁신역량의 ‘숨겨진 매듭’으로서의 사회적 자본의 기능등을 분석하였다. 그리고 지역혁신의 결과로서의 사회적 자본의 측면은 핵심 구성요소와 순환과정 측면에서 협력규범과 참여네트워크의 형성 및 작동관계, 집합적 행동의 선순환성 강화 측면 그리고 새로운 균형의 발현과 흐름 관계 등을 밝혔다.

기술협력 파트너 기관의 입지지역이혁신성과에 미치는 영향

이근재 경성대학교 산업개발연구소 2020 산업혁신연구 Vol.36 No.4

This study tries to examine if innovative performance of a firm is affected by where the firm’s partners for technology cooperation are located, using data from 2018 Korean Innovation Survey for manufacturing industries. One of the findings is that firms are likely to cooperate over technology within the same region more than outside the region. The innovation performance is also shown to be higher in the firms cooperating over technology within the same region than the firms which did not cooperate within the same region. Meanwhile, firms are found to prefer technological partners located in Capital region if organizations in the same region are excluded. Firms turn out to achieve higher innovation performance which had technology cooperation with organizations located in Capital region. As Capital region has recorded the highest score for innovation capability according to Jang and Yu(2017), that result supports the hypothesis that firms can have higher innovation performance through technological cooperation with organizations located in a region with higher innovation capability. As a result, this study puts more emphasis on the importance of regional innovation capability by showing that the reinforcing regional innovation capabilities does not only encourage technology cooperation within a region but across regions as well. 본 연구는 “2018 한국기술혁신조사: 제조업”자료를 이용하여 기술협력 파트너 기관의 입지 지역이 기업의 혁신성과에 어떠한 영향을 미치는지를 검토하였다. 지역은 광역경제권역 중심으로 수도권, 충청권, 전라권, 대경권, 동남권 5개 지역으로 구분하였다. 분석결과를 보면, 먼저 기업들은 동일 권역 내 기관들과의 기술협력을 가장 선호하는 것으로 나타났다. 혁신성과에서도 동일 권역 내 기관들과 기술협력 했을 때 그렇지 않은 기업들에 비해 더 높은 것으로 나타났다. 한편, 동일권역을 제외하면 기업들의 기술협력 파트너 기관이 가장 많이 입지한 지역은 수도권이다. 혁신성과 역시 수도권 내의 기관과 협력한 기업들이 그렇지 않은 기업에 비해 더 높은 것으로 나타났다. 이러한 결과는 혁신역량이 높은 지역에 입지한 기관들과 더 많이 기술협력을 하며, 또한 혁신성과도 더 높을 것이라는 본 연구의 가설을 지지하는 것이다. 나아가 지역의 혁신역량 강화가 역내뿐만 아니라 역외 기업과의 기술협력도 촉진할 수 있다는 측면에서 지역혁신역량 강화의 중요성을 더욱 부각시키고 있다.

지역 과학기술혁신진흥시스템의 실태와 과제

이장재(Lee Jang-Jae) 경기연구원 2008 경기논단 Vol.10 No.2

Regional S&T, innovation policies in Korea are in the evolutionary process towards the endogenous growth strategy driven by S&T and innovation. The results of these policies as it is are evaluated as “successful”on the whole because of building the foundations of S&T and innovation promotion systems in many regions. However, it is too early to say these policies have been resulted in the successful establishment of endogenous S&T and innovation capability and revealed substantial outputs. Based on the analysis of regional S&T and innovation promotion system in Korea, the future directions of regional S&T and innovation policies are as follows: Firstly, it is very important to achieve regional and local self-governance from cental government in decision making, tax collection etc. at regional level. Secondly, it needs the design of region-specific regional innovation system(RIS) and policy alternatives for each region. Thirdly, human resource development(HRD) policy at regional level is very important to induce endogenous growth. Lastly, the efforts of raising the efficiency of S&T and innovation policies at region level must be emphasized. The introduction of “performance based management(PBM) approach at regional level is advised.

중국의 지역혁신역량의 비교 -30개 지역을 대상으로-

김상욱 한국동북아경제학회 2019 동북아경제연구 Vol.31 No.3

This paper analyzes the production efficiency and the technology innovation efficiency to the Chinese 30 regions, and using BCG matrix, analyzes the regional innovation capability. The input variables of the production efficiency include the employes and the fixed asset investment, the output variable use the regional per capita GDP. The input variables of the technology innovation efficiency include the R&D expenditure and the full time equivalent of R&D, and the output variables is the number of effective invention patent. The result of BCG matrix as follows. First, the group mapping is not match the regional economic development level. In the star group, the three regions are relatively high regional economic development level, but the five regions are relatively low level. Second, the result finds that the four group need the different strategy to improve the regional innovation capability. Third, the two period, 2008-2012 and 2012-2016, finds different matrix structure. In 2012-2016, the numbers of star group increased from 9 to 11, and the number of problem child group also increased from 5 to 15, but the number of dog group decreased from 10 to 3, it means that the regional innovation capability gradually appears convergence.

지역혁신역량과 지역산업성과간의 실증분석

김정홍 ( Kim Jeong Hong ) 한국경제학회 2003 經濟學硏究 Vol.51 No.2

In is my objective to study the following three topics. First, I would like to observe the correlation between regional innovative capabilities and regional industrial performances in Korea. Second, relationships between innovation and industrial performance will be examined. Finally, I would like to analyse the possibilities of a feedback system between regional innovative capabilities and regional industrial performances. The results of this analysis are as follows. First, the correlation between regional innovative capabilities and regional industrial performances in Korea is relatively high. Second, research institutes and researchers are more important factors with respect to patents than R&D funds. Lastly, the empirical analysis has also revealed that innovative capabilities promotes industrial performances, which again reinforces other new innovative capabilities.

중소기업 지원사업과 지역 혁신역량의 상호작용이 지역 성장에 미치는 영향

박지원,강태원 한국중소기업학회 2024 中小企業硏究 Vol.46 No.2

본 연구는 중소기업 지원사업의 특성과 지역혁신역량이 지역 성장에 미치는 영향을 규명한다. 구체적으로, 지역 중소기업의 기술혁신 향상을 위한 지원사업을 기술개발, 기술활용, 인프라, 협력이라는 네 가지 유형으로 구분하고, 지원사업의 양적·다양성 측면이 지역혁신역량(인적환경, 협력역량, 혁신의지)과 지역 경제성장에 미치는 상호영향을 파악한다. 양적 측면은 유형별 지원사업의 수를, 다양성 측면은 지역 지원사업의 유형별 다양성(엔트로피)으로 측정한다. 17개 광역시·도 대상 패널 분석의 결과에 따르면, 첫째, 모든 유형에서 지원사업의 수가 많을수록 지역 성장에 긍정적인 영향을 미친다. 둘째, 다양한 유형의 지원사업을 보유한 지역일수록 높은 경제 성장률을 보인다. 셋째, 혁신의지가 높은 지역일수록 지원사업의 수와 다양성이 지역 성장에 미치는 긍정적인 영향을 강화한다. 본 연구는 지원사업뿐만 아니라 지역 혁신역량을 고려하여 정책효과를 이해하였으며, 이를 통해 한정된 자원으로 효과를 극대화하는 정책설계 및 실행전략을 도출할 수 있다. This study aims to identify the characteristics of SME support projects and to ascertain the impact of regional innovation capabilities on regional growth. We categorize support projects designed to enhance the technological innovation of regional SMEs into four types: technology development projects, technology utilization projects, infrastructure projects, and cooperation projects. We then identify the mutual effects of regional innovation capabilities on regional economic growth through the quantitative and diversity aspects of support projects. The quantitative aspect is gauged by the number of support projects of a given type, while the diversity aspect is evaluated by the diversity (entropy) of regional support projects of a given type. The results of a panel analysis of 17 metropolitan cities and provinces indicate that a higher number of support projects of all types has a positive impact on regional growth. Second, regions that are supported by a variety of types of support projects exhibit higher economic growth rates. Third, the positive impact of the number and diversity of support projects on regional growth is reinforced in regions with a higher willingness to innovate. This study considers the policy effects of support projects in conjunction with regional innovation capabilities. This approach enables the design.

지역 기술혁신역량의 심층 분석 방법론 개발 및 적용 연구 - 충북 기술 혁신역량의 분석

문혜선(Hyeseon Moon),조형진(Hyoung-Jin Cho) 한국기술혁신학회 2021 기술혁신학회지 Vol.24 No.4

본 연구에서는 지역 혁신을 통한 지역 균형발전의 추진이 강화되고, 기술혁신역량이 지역 경쟁력 구축의 핵심 요소로 부각됨에 따라 지역의 기술혁신역량을 보다 다각적이고 심층적으로 분석할 수 있는 방법론을 제시하였으며, 이를 충북 지역에 적용하고 분석 결과를 논의하였다. 특히 지역 기술혁신역량의 지역 간 횡단면적 비교뿐만 아니라 각 지역 역량의 시계열 변화 및 변화의 주요 요인을 파악할 수 있는 분석 방법을 개발하였다. 또한 개발된 방법을 충북 지역에 적용하여 충북 기술혁신역량의 상대적 수준 외에도 시계열 변화 추이, 성장과 쇠퇴의 주요 요인 분석 등을 수행함으로써 지역의 혁신정책 수립에 필요한 심층 분석 결과들을 논의하였다. 분석 결과 충북 지역은 그동안 혁신 인프라 구축, 산학연 주체들 간 협력 네트워크 구축 등 혁신역량 제고 노력을 수행해 온 결과 경제적 성과가 개선되는 등 전반적으로 기술혁신역량이 높은 수준인 것으로 분석되었다. 그러나 혁신의 직접적 투입 부문인 혁신 주체의 활동, 자원 부문은 상대적 약점 분야이며, 대학 R&D투자, 기술창업, 특허 성과 창출 등 해당 부문을 구성하는 일부 지표들은 과거보다 수준이 하락하고 있어 보완이 필요하다. As global competition at the regional level intensifies and innovation capability emerges as a key factor in regional competitiveness, an advanced methodology to analyze regional innovation capabilities is needed. In this study, a method to measure regional innovation capability with diversified and in-depth manner was presented and applied to Chungbuk region. In particular, a method was developed that identify time series changes and major factors of changes in regional capabilities. In addition, by applying the developed method to the Chungbuk region, this study analzes the trends of regional innovation capabilities and deriving major factors of innovation capability changes. As a result, the overall innovation capability of the Chungbuk region was analyzed to be high, with economic performance improved as a result of efforts to enhance innovation capability. However, the activities of the innovators and resources, which are the direct input of innovation, are relatively weak, and some indicators such as university R&D investment, technology start-up, and patent performance creation are lower than in the past and need to be supplemented.

퍼지다기준 의사결정기법을 이용한 지역혁신역량지수의 도출

허재용 기술경영경제학회 2008 Journal of Technology Innovation Vol.16 No.1

We attempt to make regional innovative capability indices for overall understanding of regional innovation. We`ll analyze various indicators on it using fuzzy set theory and compare regional innovative capabilities of 16 regions in Korea. The fuzzy set theory can reflect more normally the uncertainty of the stakeholder`s responses than other decision making analysis methods. The overall results suggest that experts on regional innovation rank GRDP most important and Daejeon is the most innovative region. Building up regional innovative capabilities should be made for more balanced national land development.

기술적 연관 다양성이 지역혁신역량에 미치는 영향

이연희 ( Yeon-hee Lee ) 한국질서경제학회 2020 질서경제저널 Vol.23 No.4

Major industries in the regions have been developed with a few specific industries agglomeration or many different industries co-existence. In academics, the former is conceptualized as industry specialization and the latter as industry diversification. Some current studies on the industry clusters present that the likelihood of finding a new economic growth path is high in the regions with technologically industrial related variety(RV). It is because firms and employees in the region do exchange tacit knowledge, build networking each other, converge different technologies and finally could be able to develop new products. The purpose of this study is to find out the impact of technologically related variety on regional innovation capability. We set up the related variety index as a dependent variable and regional innovation capabilities (number of patent application, number of total R&D budget, a number of researchers, and number of ventures) as independent variables. Two groups were made by the RV’s rank. One group consisted of the five highest ranked regions and other group was made of the five lowest ranked regions. Regions with the intermediate levels of RV were ruled out for a clear differentiation between the groups. Then, we carried out a non-parametric test in order to verify our hypotheses. The results showed that all of the hypotheses were accepted when Daejeon was excluded from the analysis. The overwhelming majority of the Korean national research institutes is located in Daejeon so that innovative performances in the city are highly ranked among the 17 regions although its RV score is very low. So, the results would be on the bias when the analysis would include Deajeon. This paper contributes to develop certain policies of the regional innovation capability reinforcement. The policy makers generally introduce SIT polices(science, innovation and technology) including R&D, technology transformation, and intellectual property. But they should simultaneously consider industry policies together, especially for technologically related industries.