The Innovative Platform Programme in South Korea: Economic Policies in Innovation-Driven Growth

Kim, Seong Soo; Choi, Yo Sop

doi:10.17323/2500-2597.2019.3.13.22

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…. , N)) to derive an output variable of M, the efficiency of the DMU of K of the kth observation value is shown in Equation (1). DMU represents a program unit.…”

Section: Program Performance Efficiency Evaluationmentioning

confidence: 99%

“…Each R&D program was allocated the quadrant by calculating paper efficiency and patent efficiency. For the programs placed on the right side of the y-axis, their paper efficiency was max (1). Similarly, for the programs placed above the x-axis, their patent efficiency is 1.…”

Section: Program Performance Efficiency Evaluationmentioning

confidence: 99%

“…Using the two aforementioned indexes, we selected several R&D programs that are considered to have high influence, and the program and sub-program, which is a sub-unit, were analyzed. Based on expert opinion, we analyzed (1) what technologies are primarily related to each R&D program and (2) what issues need to be addressed. As part of the analysis, we conducted a survey based on expert opinion about what technologies the subprograms within the programs are associated with [38].…”

Section: Technological Randd Issue Suggestionmentioning

confidence: 99%

“…Currently, the South Korean government is advocating "innovative growth" in an attempt to alleviate the imbalances in the economic structure that is too geared toward particular manufacturing sectors, while preparing for a decrease in working-age populations [1]. Innovative growth refers to a growth model for increasing economic productivity as well as bringing innovation to socio-economic systems through recent technologies that drive growth.…”

Section: Introductionmentioning

confidence: 99%

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Identifying the Policy Direction of National R&D Programs Based on Data Envelopment Analysis and Diversity Index Approach

et al. 2021

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The Korean government has been continuously conducting diverse national R&D programs to discover new growth engines. The Republic of Korea is one of the countries with the largest investment in national R&D, but its efficiency was relatively low. In response, this study established a framework to identify the characteristics and direction of outstanding R&D programs. In this study, the performance of the R&D programs was identified in the sub-program unit. The efficiency of the national R&D program was analyzed using the data envelopment analysis model through the outputs of the national R&D programs such as papers and patents. However, patent and paper output would take time to be realized. Therefore, this study also calculated the diversity index of R&D programs to identify their potential expected performance. This study applied the suggested framework in the electric vehicle fields, which is one of the core growth engines of South Korea. A list of outstanding programs was identified from the National Institute of Science and Technology Information (NTIS) data. Additionally, this study also discovered the main technology areas and their current issues of outstanding and brand-new R&D programs. These results could contribute to suggesting the policy direction to conduct high-performance national R&D programs.

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“…. , N)) to derive an output variable of M, the efficiency of the DMU of K of the kth observation value is shown in Equation (1). DMU represents a program unit.…”

Section: Program Performance Efficiency Evaluationmentioning

confidence: 99%

Section: Program Performance Efficiency Evaluationmentioning

confidence: 99%

Section: Technological Randd Issue Suggestionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Identifying the Policy Direction of National R&D Programs Based on Data Envelopment Analysis and Diversity Index Approach

et al. 2021

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“…10 According to experts, the main challenges the South Korean fintech sector faces have to do with regulation. In the scope of the Innovation Platforms Program, the government is implementing a reform aimed at deregulating technological development [Kim, Choi, 2019].…”

Section: Regulationmentioning

confidence: 99%

Fintech as a Precondition of Transformations in Global Financial Markets

Belozyorov¹,

Sokolovska²,

Kim³

2020

Foresight and STI Governance

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T he article considers the opportunities, risks, and challenges associated with the development of digital financial technologies. To identify them, we used the scenario approach. We determined three main development scenarios for the market of innovative financial technologies-"domination of traditional financial companies", "segmentation of market of new financial technologies' , and "domination of digital financial companies" in terms of their probability and possible consequences for the global financial markets. The results of analysis allowed us to suggest that among main scenarios of fintech development the most probable is the splitting of existing market, which in the future can turn into a market of digital transnational financial corporations, which will squeeze out both small companies and traditional financial giants. However, although the scenario of capturing the financial market by large players is currently unlikely, it is certainly more important in terms of the consequences for global markets. The main prerequisite for the latter scenario is the promotion of international cooperation in the regulation of digital financial companies. Such a condition requires new models of country-level interaction in the regulation of innovative financial companies in order to address the risks and challenges of different scenarios of fintech development on global financial markets. This article includes a comparative analysis of digital development in Russia and the Republic of Korea, which is one of the key players on the Asian fintech market, as a possible benchmark that can be used to shape the policies of intergovernmental cooperation on global financial markets. These policies include 1) regulatory cooperation that reduces risks due to growing experience in the regulation of innovative financial companies; 2)cooperation in investments that allow one to acquire additional experience in regulatory practices and to develop infrastructure, which meets the new requirements of digital finance; and 3) cooperation in the taxation of fintech companies that reduces cross-border regulatory arbitrage.

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Legal Regulation of Using the Artificial Intelligence Technology in the Banking

Barakina

Ismailov

2020

Lecture Notes in Networks and Systems

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The Innovative Platform Programme in South Korea: Economic Policies in Innovation-Driven Growth

Cited by 10 publications

References 6 publications

Identifying the Policy Direction of National R&D Programs Based on Data Envelopment Analysis and Diversity Index Approach

Identifying the Policy Direction of National R&D Programs Based on Data Envelopment Analysis and Diversity Index Approach

Fintech as a Precondition of Transformations in Global Financial Markets

Legal Regulation of Using the Artificial Intelligence Technology in the Banking

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