• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.62-62
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• 2017

최근 인공지능 시대 및 제 4차 산업 혁명 시대의 도래로 제품 간, 제품과 서비스 간, 서비스 간 산업이 다양한 형태로 진화 중이며, 이종기술 산업 간의 융 복합화로 새로운 제3의 신산업이 등장하고 있다. 또한 소위 말하는 O2O(Online to Offline)는 이미 운송, 금융(핀테크), 자동차(카테크), 숙박, 음식, 의료(헬스케어테크) 등 많은 산업 분야에 진출, 기존 전통 산업과 충돌, 인허가에 어려움을 겪고 있으며 이러한 O2O는 IOT(사물인터넷)로 급속도로 가속화 되고 있다. 이렇듯 4차 산업 혁명에 따른 신산업의 탄생은 산업의 경계를 붕괴하고 있음에도 산업별로 구분된 제도, 규제, 지원정책 등은 여전히 신산업 창업의 장애가 되고 있다. 이에, 본 연구에서는 국내 벤처특별법, 창업지원법, 1인 창조기업법 내 투자 지원 업종과 미국을 비롯한 해외 창업 관련법 내 창업 지원 제한 업종과의 비교 분석, 몇 가지 중요한 시사점을 도출했다. 먼저, 우리나라가 선진국에 비해 지나치게 투자 제한 업종이 많음을 확인했다. 또한 선진국은 미풍양속을 해치는 업종, 투기적 사업 등 사회통념상 문제가 되는 사행성 업종을 제외하고는 대다수의 업종이 정책 지원 대상이다. 업종과 더불어 투자 행위로 투자 심사를 해 신산업 투자에 매우 탄력적으로 운영할 수 있게 설계되어 있다. 심지어 미국의 경우, 적극적 창업 투자를 위해 업종 및 투자 행위에 대한 심의를 중소기업청이 직접 수행한다. 특히, 우리나라의 중소기업창업투자회사제도는 미국의 중소기업투자회사(SBIC) 제도와 유사한 반면 투자 제한 업종 뿐 아니라 제도 운영 특히, 창업투자회사에 대한 관리 측면에서 매우 큰 차이가 있음을 보여주고 있다. 우리나라 중기청은 간접관리를 하는 반면, 미국은 중기청 내에서 직접 관리를 하고 있다. 따라서 본 연구에서는 우리나라 창업 벤처 투자 제한을 미국을 비롯한 기타 외국의 사례에서와 같이 사회통념상 불가피한 업종과 더불어 투자 행위로 정의하길 제안한다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2003.05a
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• pp.558-563
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• 2003

Clean 3D 사업은 작업환경이 열악하고 시설투자에 대한 자금조달이 어려운 영세한 업종에 대한 지원사업으로서 근로자의 근무의욕 저하와 근로기피현상 등으로 인력난을 겪고 있을 뿐만 아니라, 기본적으로 설치해야할 안전조치에 대한 투자 등이 어려운 실정이다. 이러한 소규모 사업장의 안전시설 및 작업환경 개선을 통하여 재해예방과 고용안정을 유도하기 위한 자금을 국가가 지원하였다.(중략)

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.144-158
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• 2023

R&D (Research and Development) investment by companies and the government continues to increase, and the total R&D expenditure of public and private sectors in 2021 reached KRW 102 trillion, and the ratio of R&D investment to GDP was 4.96%. It ranks second in the world after Israel. This study analyzes the current status of the domestic R&D service industry and the research and development (R&D) innovation ecosystem based on the business activity survey data of the National Statistical Office in terms of improving R&D productivity of domestic R&D investment that has exceeded 100 trillion won, and analyzes the global R&D service industry and analyzes the global research service industry and R&D service Industry support government policy As a result of the analysis, in the domestic R&D ecosystem, the R&D outsourcing demand of service companies is rapidly increasing, compared to the stagnant R&D outsourcing demand of traditional manufacturing companies. In order to respond to these changing demands for technological innovation, this study suggests balanced support for R&D outsourcing for manufacturing and service companies, expansion of domestic R&D outsourcing, establishment of R&D outsourcing strategies specialized for the service industry, establishment of an open R&D ecosystem, and innovation in connection with materials/parts/equipment strategies.

• Journal of Korea Technology Innovation Society
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• v.16 no.2
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• pp.391-407
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• 2013

The paper tests the embodiment hypothesis by measuring the technological obsolescence of a specific year (1990)'s technology and investigating the relationship between labor productivity and technological obsolescence. This approach is based on Salter (1969) that emphasizes the economic aspect of technology. We use the rate of economic surplus as the proxy of technological obsolescence for 10 main industries, including food processing, textiles, chemicals, non-steel metals, steels, metal products, machinery, electronics, precision machinery, and transportation equipments. The result shows that the embodiment hypothesis is not accepted for the overall manufacturing sector. However, we found the vintage effect - a positive relationship between technological obsolescence and labor productivity over time - in textiles, chemicals, non-steel metals, metal products, electronics, and transportation equipments. Therefore, the government should support R&D investment as well as capital equipments investment for the industries with large vintage effect.

• Journal of Industrial Convergence
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• v.21 no.6
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• pp.1-11
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• 2023

The purpose of this study is to verify the factors affecting corporate bankruptcy by using non-financial information of companies invested by credit guarantee institutions. In this study, 594 companies (525 normal companies, 69 insolvent companies) invested in by the Korea Credit Guarantee Fund from March 2014 to the end of December 2022 were selected as samples. Non-financial information of companies was divided into founder characteristics information, company characteristics information, and corporate investment information, and cross-analysis and logistic regression analysis were conducted. As a result of the cross-analysis, personal credit rating, industry, and joint investment were selected as significant variables, and logistic regression analysis was conducted for those variables, and two variables, personal credit rating and joint investment, were selected as important factors for bankruptcy. In business management, the founder's personal credit and the importance of joint investment in investment support were found out. It will help to minimize bankruptcy if institutions that support investment in SMEs reflect these results in their screening and systematically build cooperative relationships with private investment institutions. It is hoped that this study will provide an opportunity to pay more attention to the factors that affect the bankruptcy of companies that receive direct investment from public institutions.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.393-396
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• 2012

우리나라 지역발전정책은 80년대 들어서 심화된 국토불균형 문제를 해소하기 위하여 지역경제 활성화 및 지방투자 촉진 목적의 다양한 정책 수단을 마련하면서 본격화 되었다. 수도권 소재 기업의 지방 이전을 위한 각종 법률과 제도가 제정 시행된 결과 일정 부분 성공했다는 평가가 있다. 충북지역 역시 수도권 소재 기업의 유치를 위하여 다양한 노력을 기울이고 있다. 이러한 중앙정부와 지방정부의 다양한 노력 결과, 2000년 이후에 충북으로 이전한 총수는 약 170여개 기업 정도가 되었다. 이들 기업은 업종별이나 지역별 등과 같은 그 구성 비율로 볼 때 고르지 못한 면이 있다. 예를 들어 기업의 지역별 이전기업 수를 보면 충주 46개, 청원 28개 기업으로 주로 충북 북부지역과 중부권에 집중되어 있고 영동과 보은 등의 남부권으로 이전한 기업은 거의 없어, 균형 개발 차원에서 남부 3군(옥천 포함)에 대한 충북도 차원의 지원이 필요할 것으로 보인다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5282-5286
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• 2015

This study is to analyze the effects of the FDI inflows service industry on China's economic growth using panel data from China's service industry for the period 1990-2012. The results of this study show that the FDI inflows into service industry in China is behind a key driving force to develop its economic growth, and that other factors like investment in the fixed assets and investment in human capital and labor make contribution to promoting its economic development. The results suggest that in order to enhance its growth, the government should expend a great deal of effort trying to make a good environment for investment to increase the FDI inflows into China's service industry.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.23-46
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• 2017

Although there have been cases of evaluating the value of specific companies or projects which have centralized on developed countries in North America and Europe from the early 2000s, the system and methodology for estimating the economic value of individual technologies or patents has been activated on and on. Of course, there exist several online systems that qualitatively evaluate the technology's grade or the patent rating of the technology to be evaluated, as in 'KTRS' of the KIBO and 'SMART 3.1' of the Korea Invention Promotion Association. However, a web-based technology valuation system, referred to as 'STAR-Value system' that calculates the quantitative values of the subject technology for various purposes such as business feasibility analysis, investment attraction, tax/litigation, etc., has been officially opened and recently spreading. In this study, we introduce the type of methodology and evaluation model, reference information supporting these theories, and how database associated are utilized, focusing various modules and frameworks embedded in STAR-Value system. In particular, there are six valuation methods, including the discounted cash flow method (DCF), which is a representative one based on the income approach that anticipates future economic income to be valued at present, and the relief-from-royalty method, which calculates the present value of royalties' where we consider the contribution of the subject technology towards the business value created as the royalty rate. We look at how models and related support information (technology life, corporate (business) financial information, discount rate, industrial technology factors, etc.) can be used and linked in a intelligent manner. Based on the classification of information such as International Patent Classification (IPC) or Korea Standard Industry Classification (KSIC) for technology to be evaluated, the STAR-Value system automatically returns meta data such as technology cycle time (TCT), sales growth rate and profitability data of similar company or industry sector, weighted average cost of capital (WACC), indices of industrial technology factors, etc., and apply adjustment factors to them, so that the result of technology value calculation has high reliability and objectivity. Furthermore, if the information on the potential market size of the target technology and the market share of the commercialization subject refers to data-driven information, or if the estimated value range of similar technologies by industry sector is provided from the evaluation cases which are already completed and accumulated in database, the STAR-Value is anticipated that it will enable to present highly accurate value range in real time by intelligently linking various support modules. Including the explanation of the various valuation models and relevant primary variables as presented in this paper, the STAR-Value system intends to utilize more systematically and in a data-driven way by supporting the optimal model selection guideline module, intelligent technology value range reasoning module, and similar company selection based market share prediction module, etc. In addition, the research on the development and intelligence of the web-based STAR-Value system is significant in that it widely spread the web-based system that can be used in the validation and application to practices of the theoretical feasibility of the technology valuation field, and it is expected that it could be utilized in various fields of technology commercialization.

• International Commerce and Information Review
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• v.17 no.1
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• pp.265-285
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• 2015

After the establishment of WTO for strengthening of GATT in 1995, the world economy has gradually been integrating toward economic globalisation. Even though this multilateral agreement may be beneficial to many countries but it also interferes domestic policies of member countries and threatens the role of local government and policy independence. For these reasons, FTA between countries or regions has been increasing. According to this trend, Korea and China has reached a substantial agreement of Korea-China FTA for mutual benefits. In general, the Korean automobile industry will benefit from Korea-China FTA due to its competitiveness in the global market and improvement of market access. However in the provisional schedule of concessions and commitment reported by press, the automobile seems to be excluded in this schedule of concessions. Hence, Korean automobile industry can not use the price competitiveness from tariff elimination. Therefore, Korean automobile industry needs aggressive marketing strategies for enhancement of brand equity as well as development of environment-friendly cars for following environment policies of Chinese government. Furthermore, they should make efforts to create the efficient investment environment by the removal of non-tariff barriers.

• Korean Business Review
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• v.13
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• pp.159-178
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• 2000

Tax assistance system in Korea is a one that is designed by the central government to achieve specific policy objectives through the tax relief for economic activities or specific industries, leading to the development of the industries, Thus, the purpose of this study is to see if the government's direct tax assistance system for small and medium manufacturing firms is effective and then to contribute to establishing necessary policies for an effective tax assistance system based on the identification of a direct assistance system that is substantially useful to those firms. T- test was performed to see if there was a difference in tax burden between small and medium manufacturing firms and small and medium non-manufacturing firms and also to see whether the direct assistance system was effective. The results obtained from the statistical analyses are as follows: (1) The tax reduction rule applied to small and medium firms was turned out to be effective based on the fact that the effective tax rates of the small and medium firms to which the rule was applied were, on the average, significantly lower than those of the Listing large corporation which did not receive the tax benefit and also on the fact that the tax savings rates of the small and medium firms which could apply the rule were, on the average, significantly higher than those of the Listing large corporation to which the rule was not applied. (2) The tax credit rule applied to small and medium manufacturing firms was also turned out effective based on the same fact as described in the case of the application of the tax reduction rule.