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서비스산업의 정부지원·규제개선·지식재산이 기업의 혁신성과 기여도에 미치는 영향 분석

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Abstract
The purpose of this study is to analyze the impacts of the Korean government support, improvement of regulatory rules, and intellectual property in the service industry on the innovation performance contribution of companies. The Korean government recognizes the service industry as important enough to replace the manufacturing industry in the national economy in the future, and seeks to create more jobs and increase added value through intensive development. The manufacturing industry, which has been driving the Korean economy, has seen its economic growth and job creation slow significantly due to shrinking investment, increased labor and production costs, and the relocation of facilities overseas. On the other hand, the service industry is being reorganized around the service industry, with the proportion of production and employment continuing to expand. Against this background, the importance of the service industry is growing, and it is suggested that government policy participation in the market is necessary.
As the employment and value-added portion of the service industry grows worldwide, advanced countries are implementing various policies to upgrade the service industry and create new service industries. In Korea, the government is making various attempts through the development strategy of service industry and R&D promotion strategy, but the effect is still insufficient. Korean service industry occupied the highest share of the total industry, accounting for 60 percent of GDP and 73.8 percent of employment in 2017. The implementation of R&D and government support policies are needed amid the change in industrial structure from manufacturing to service industries. The Korean government has expanded support for the revitalization and advancement of the service industry since the late 2000s.
For this reason, Participation in government policy is largely three directions and has been chosen as the variables affecting the contribution to innovation performance in this study. For the competitiveness of the service industry, the government implements policies for government support, improvement of regulatory rules(public-private joint regulatory improvement promotion group, regulatory reform committee), and protection of intellectual property(patent rights, utility model rights, design rights, and trademark rights). The background of this study is as follows: The existing research on government support, improvement of regulatory rules and protection of intellectual property rights was centered on manufacturing companies. However, research on service companies has been insufficient. For these reasons, this study studied the effect of government support, improvement of regulatory rules, and protection of intellectual property on the innovation performance contribution of service companies (improvement of sales, cost reduction, quality improvement, efficiency and employment increase). Ahead of statistical empirical studies, this study examined the definition of the service industry, the criteria for the classification of the industry, the method of government support, the definition of regulations, the improvement of government regulatory rules, the survey of intellectual property and case of foreign countries.
By applying an ordered logit model, this study conducted the empirical analysis regarding the impacts of the government support, improvement of regulatory rules, and intellectual property on the innovation and improvement of the companies. This study used survey data about government support policies for service companies. Dependent variables were set as innovation performance contribution levels, and the independent variables were government support, improvement of regulatory rules, and intellectual property. Dummy variables were innovative activities (services, process, organizational and marketing innovation) and legal types (large, middle and small companies). Based on the results of the study, among the variables of government support, certification support, tax support, and financial support were statistically significant. and certification support had the highest marginal effect. Improvement of regulatory rules had the highest marginal effect due to 'restrictions and regulations on investments in new equipments'. And intellectual property had the highest marginal effect on intellectual property application.
In addition, This study suggests that the government should push ahead with improvement of regulatory rules in the service industry through the joint public-private regulatory improvement promotion team and the regulatory reform committee. Also we suggest that the service R&D support center should provide one-stop service for authentication of companies and technical products. As for the differentiation of research, first, this study is meaningful in that it has identified the impact of government support, improvement of regulatory rules, and intellectual property on innovation performance of service companies and Second, this study is meaningful in that it quantitatively measures innovation performance contributions using the ordered logit model analysis. This study is expected to have various implications for the government in formulating policies for the service industry.
Author(s)
권정호
Issued Date
2020
Awarded Date
2020. 8
Type
Dissertation
Keyword
Government Support Policy Improvement of Regulatory rules Intellectual Property Innovation Performance Contributions Ordered Logit Model Marginal Effect Service Industry.
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/2566
http://pknu.dcollection.net/common/orgView/200000337999
Affiliation
부경대학교 대학원
Department
대학원 과학기술정책학과
Advisor
이민규
Table Of Contents
Ⅰ. 서 론 1
1. 연구의 배경과 필요성 1
2. 연구의 목적 6
3. 연구의 구성 8
Ⅱ. 이론적 배경 10
1. 서비스산업 10
2. 정부지원 17
3. 규제개선 18
4. 지식재산 25
가. 분류 25
나. 산업재산권 26
다. 저작권 30
라. 신지식재산권 31
마. 출원 수 32
5. Dummy 34
가. 혁신활동 34
나. R&D활동 36
6. 해외사례 41
가. 정부지원 41
나. 규제개선 46
Ⅲ. 선행연구 52
1. 서비스산업 52
2. 정부지원 54
3. 규제개선 59
4. 지식재산 62
5. Dummy 64
가. 혁신활동 64
나. R&D활동 67
Ⅳ. 연구방법 70
1. 순서화 로짓 모형(Ordered Logit Model) 70
2. 이항 로짓 모형(Binary Logit Model) 74
3. 선형 회귀 모형(Linear Regression Model) 78
Ⅴ. 변수 및 기초통계량 85
1. 표본 85
2. 변수 88
가. 정부지원 변수 88
나. 규제개선 변수 96
다. 지식재산 변수 105
라. Dummy 변수 114
3. 기초통계량 124
가. 정부지원 기초통계량 124
나. 규제개선 기초통계량 127
다. 지식재산 기초통계량 129
Ⅵ. 연구결과 132
1. 정부지원 132
가. 기업의 혁신성과 기여도 함수의 추정 132
나. 기업의 혁신성과 기여도에 유의한 변수 133
다. 기업의 혁신성과 기여도 함수의 한계효과 139
2. 규제개선 141
가. 기업의 혁신성과 기여도 함수의 추정 141
나. 기업의 혁신성과 기여도에 유의한 변수 143
다. 기업의 혁신성과 기여도 함수의 한계효과 145
3. 지식재산 147
가. 기업의 혁신성과 기여도 함수의 추정 147
나. 기업의 혁신성과 기여도에 유의한 변수 148
다. 기업의 혁신성과 기여도 함수의 한계효과 151
Ⅶ. 결론: 정책적 시사점 및 향후과제 153
1. 요약 153
2. 정책적 시사점 155
가. 정부지원 155
나. 규제개선 157
다. 지식재산 158
라. 기타 정책 159
3. 연구의 한계 및 향후 과제 160
참고문헌 162
1. 국내 문헌 162
2. 해외 문헌 171
Degree
Doctor
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대학원 > 과학기술정책학과
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