RISS 검색 - 학위논문 상세보기

다국어 초록 (Multilingual Abstract)

The purpose of this thesis is to provide comprehensive implications for national R&D activities in Korea. In particular, it provides policy-making direction by measuring returns to R&D for the efficient use of government R&D expenditure. In addition, comprehensive policy implications were derived from measuring productivity, efficiency, economies of scale and scope for national R&D programs.
First, the returns to R&D were estimated using industry-level data. The empirical analysis was conducted for the Korean manufacturing industry from 2006 to 2017.
Second, the productivity of the national R&D program was analyzed using a metafrontier approach that was assumed differently from the traditional technology convexity. The target of analysis was 6T groups, a promising future technology group, and analyzed using data from 2009 to 2018.
Finally, efficiency, economies of scale and scope were measured using the input distance function based on stochastic frontier analysis.
The main results are as follows: The average returns to R&D of the Korean manufacturing industry was 11.5 ~ 31.9%, and it was verified that it has gradually decreased during the analysis period. However, the returns to R&D of the Korean manufacturing industry has produced positive results, which can be seen as a profit effect from R&D investment. In addition, in the low-tech industry, returns to R&D decreased very rapidly during the analysis period, but in the case of the high-tech industry, it was confirmed that returns to R&D increased or maintained during the analysis period.
The national R&D productivity conducted in the 6T groups was measured to increase by about 13.78% per year on average. This could be seen as a result of advances in metatechnology. In addition, it was confirmed that the recent R&D productivity has increased compared to the past, and the productivity of each group was improved.
The R&D efficiency was measured at about 0.56, and about 72% of the programs had a low efficiency of less than 0.8. Most R&D programs were in the diseconomies of scale, and economies of scale emerged from programs that invested more than 40 billion KRW in government research funding. Also, most R&D programs have demonstrated economies of scope. This shows that government funding is more efficient when diverse outputs are generated through R&D.

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목차 (Table of Contents)

Chapter 1 Overall Introduction 1
1.1 Research Background 1
1.2 Research Objectives 5
1.3 Thesis Structure 7
Chapter 2 Study on Estimation of the Returns to R&D From Korean Manufacturing Industry 8

Chapter 1 Overall Introduction 1
1.1 Research Background 1
1.2 Research Objectives 5
1.3 Thesis Structure 7
Chapter 2 Study on Estimation of the Returns to R&D From Korean Manufacturing Industry 8
2.1 Introduction 8
2.2 Literature Review 10
2.3 Methodology 14
2.3.1 Returns to R&D estimation model using Cobb-Douglas production function 14
2.3.2 Methodology of coefficient estimation using Stochastic Frontier Analysis (SFA) 17
2.4 Description of Data 21
2.5 Empirical Results 24
2.5.1 Result of coefficient estimation 26
2.5.2 Empirical Results of the Returns to R&D 29
2.5.2.1 Result of the returns to R&D by year 29
2.5.2.2 Result of the returns to R&D by industry 32
2.6 Conclusion 35
Chapter 3 Productivity of the National R&D Programs of 6T Sector Using a Metafrontier Malmquist Productivity Index 39
3.1 Introduction 39
3.2 Literature Review 43
3.3 Methodology 50
3.3.1 Metafrontier and convexification strategy 50
3.3.2 Metafrontier methodology 52
3.3.2.1 Technology and technology-specific frontier, metatechnology and metafrontier 52
3.3.2.2 Technical efficiency 55
3.3.2.3 Metafrontier productivity index 56
3.4 Description of the Data 60
3.5 Empirical Results 65
3.5.1 Productivity and decompositions of 6T 65
3.5.2 Trend of the MMI index and decompositions 75
3.6 Conclusion 78
Chapter 4 Efficiency, Scale and Scope Economies of Korean R&D Program 80
4.1 Introduction 80
4.2 Literature Review 81
4.3 Methodology 87
4.3.1 Definition of input distance function and estimation of input distance function 87
4.3.2 Technical efficiency based on input distance function 91
4.3.3 Scale economies 91
4.3.4 Scope economies 94
4.4 Description of Data 96
4.5 Empirical Results 98
4.5.1 Estimate results of the distance function 98
4.5.2 Results of Efficiency, Economies of Scale, and Economies of Scope 100
4.6 Conclusion 106
Chapter 5 Overall Conclusion 108
Appendix 113
References 117

참고문헌 (Reference)

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