• Journal of the Economic Geographical Society of Korea
• /
• v.18 no.1
• /
• pp.103-114
• /
• 2015

This research aims to identify the network formation process of wine industry based on patents for technological innovation focused on Shandong region. China government initiated supporting policy upbringing wine cluster in Shandong for regional economic development since 2006. First of all, China government focused on upbringing wine industry on the network formation process. Especially, it is evaluated that Shangdong region develops wine industry by research-oriented. Secondly, for the purpose of this research, the formation of network in Shandong region explained the strategy of Chinese government corresponded with growing wine industry. As a implication from the network formation process, this research confirmed that the wine industry grows industry-university-government linkages strategically according to government strategy with government policy integration integrating regional development.

• Journal of the Economic Geographical Society of Korea
• /
• v.9 no.3
• /
• pp.459-472
• /
• 2006

This paper examines the implication of competition and collaboration in the innovation process for regional economic development in an increasingly knowledge-based economy. While competition is an important force in securing the competitive advantage of firms, collaboration between firms and organizations should be necessary for promoting the innovative capacity of a region. This study shows that collaboration relations based on trust and stability is important for the long-term development of learning and innovation in competitive environment, and the way how spatial proximity plays an important role in interactive learning processes. It also discusses the reason why the innovative networks facilitating the exchange of tacit knowledge should be embedded in region. Finally, the paper examines the possibility of the networks based on collaboration relationship in less-favored regions such as Chonbuk, and suggests the policy implication of the result for achieving regional innovation systems in the region successfully.

• Asian Journal of Innovation and Policy
• /
• v.6 no.2
• /
• pp.225-244
• /
• 2017

When evaluating the economic value of technology or business project, we need to consider the period and cost for commercialization. Since the discounted cash flow (DCF) method has limitations in that it can not consider consecutive investment or does not reflect the probabilistic property of commercialization cost, we often take it desirable to apply the concept of real options with key metrics of underlying asset value, commercialization cost, and volatility, while regarding the value of technology and investment as the opportunity value. We at this moment provide more elaborated real options model with the effective region of volatility, which reflects the uncertainty in the option pricing model (OPM).

• Asian Journal of Innovation and Policy
• /
• v.7 no.1
• /
• pp.55-78
• /
• 2018

This paper investigates the linkage between the mode of transformation of entrepreneurial learning into outcomes and the subsequent impact of these learning outcomes in enhancing the survival of high-tech startups in India. The study uses data from 45 high-tech startups headquartered across different locations in India for the purpose of analysis. Survival Analysis of the data is conducted to determine which mode of learning transformation and what type of en trepreneurial decision making preference have a significant influence on the survival of Indian high-tech startups and to what extent do they impact their survival. The results indicate that entrepreneur's prior startup experience, explorative mode of learning transformation, causal decision making of the entrepreneur and availability of funding for the startup as the key factors that reduce the time to survival of Indian high-tech startups. They also provide key insights on how these factors impact the startup survival in this region.

• Journal of Korea Technology Innovation Society
• /
• v.14 no.4
• /
• pp.833-859
• /
• 2011

This study aims to draw the characteristics of the regional operation system of the shared research instrument service, which contributes to the R&D investment efficiency by the avoidance of duplicated research instrument investment and the enhancement of the network collaboration. So from the perspective of technology infrastructure policy and regional innovation system, Gyeonggi region of Korean metropolitan area has been analyzed for the case study. The case study has been conducted by 2 step process of within-case analysis and cross-case analysis. Firstly, the characteristics of operation system of the shared research instrument have been examined through various research methods. Secondly, in the cross-case analysis, the examined issues and problems have been organized by the matrix of 3 organizational governance characteristics and 4 issues to facilitate the regional policy approach. The issues deducted by the cross-case analysis have been deducted as (1) 'usage fee charge system', 'relevant method for the performance index and measurement of the instrument service management' for the regional policy led case, (2) 'performance management issue', 'financial and managerial accounting system for the instrument operating division', and 'change of budget support scheme' for the joint operation case and lastly (3) 'usage facilitation after the expiration of research lab support project' for the university led case.

• Journal of Industrial Convergence
• /
• v.14 no.1
• /
• pp.15-25
• /
• 2016

A technopark is an industrial and technological complex where personal, material and technological resources, scattered to businesses, academic institutions, research facilities and governments are gathered into a single place. Technopark's role is facets. The aim of this study is to offer new policy services for firms by utilizing the exploratory methodology for Chungnam Technopark's performance for three year (2011 ~2013). Through the findings, this study suggests that policy support for firm's growth in Chung Nam Region have been effective and fruitful in terms of total sale and increase of employees. But, technological performance measured by patents has not enough to catch the innovation. Chungnam Technopark should be more focused on technological policy supports including R&D as well as commercialization. Ultimately in order to have sustainabilities for own firm's growth, firms should keep going on ceaseless create the new technological performance. In that sense, for regional specific industry Technopark's role has been critical for not only firm's current growth but firm's innovation competency.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.10 no.1
• /
• pp.33-44
• /
• 2015

This study reviews technological innovation to examine science, technology, and innovation (STI) policies and strategies for academy-industry cooperation for innovation and entrepreneurship in Daejeon. STI policy in Daejeon is based on a vision that harmonizes regional and national policies at a regional level, fostering of a key innovation cluster and strategic industries in Daejeon, and a new growth engine of converging industries such as information technology (IT), biotechnology (BT), and nanotechnology (NT). This paper proposes the following: First, considering the harmony of national and regional policies, STI policy should be promoted at the regional level considering venture and SMEs. Second, we recommend nurturing a global innovation cluster as part of a regional STI and venture ecosystem. This will support the region of Daejeon as the heart of a global innovation cluster by having Daedeok Innopolis and the International Science and Business Belt as its two major axes. Third, we recommend strengthening academy-industry cooperation in Sejong and other regions.

• World Technopolis Review
• /
• v.6 no.2
• /
• pp.102-112
• /
• 2017

In this increasingly globalised and rapidly-changing world, the various challenges that can arise are also increasingly globalised and complex. These may range from economic, environmental, societal or even demographic challenges. Solutions should therefore be applicable world-wide, but they need to be properly adapted to the specifications and needs at the regional and country level. This implies that past models of centralised innovation can be progressively substituted by new approaches based on openness and strategic collaboration between the various players involved. There are various models of openness and collaboration in research, development and innovation creating scientific networks at different levels. This paper is designed in a way to present the concept of smart specialisation and clusters and how they are linked and contribute to the support of Smart Specialisation Strategy in the Asian countries. The following paragraphs describe how smart specialisation is applied and the importance of clusters in developing a S3 strategy. In addition, the status of cluster policies in Asia as well as the steps towards S3 are also presented. The status of cluster policies and their steps towards S3 policies in Asia are described. The approach of China to adopt S3 in their R&I policy is also presented. The scope of this paper, is to demonstrate the policy framework of cluster and S3 policies in the region of Asia and how they are applied. China has been further analysed as a case, since they are more active in applying such policies.

• Asian Journal of Innovation and Policy
• /
• v.10 no.1
• /
• pp.68-89
• /
• 2021

The expansion of irrigated agricultural production can be appropriate for the southeast region in the U.S. as a climate change adaptation strategy. This study investigated the effect of supplemental development of irrigated agriculture on the regional economy by applying the supply side Georgia multiregional input-output (MRIO) model. For the analysis, 100% conversion of non-irrigated cultivable acreage into irrigated acreage for cotton, peanuts, corn, and soybeans in 42 counties of southwest Georgia is assumed. With this assumption, the difference in total net returns of production between the non-irrigation and irrigation method is calculated as input data of the Georgia MRIO model. Based on the information of a 95% confidence interval for each crop's average price, the lower and upper bounds of estimated results are also presented. The total impact of cotton production was $60 million with the range of $35 million to $85 million: The total impact of peanuts, soybeans, corn was $10.2 million (the range of $3.28 million to $23.7 million), $6.6 million (the range of $3.1 million to $10.2 million), $1.2 million (the range of -$6 million to $8.5 million), respectively.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.4
• /
• pp.149-163
• /
• 2023

The policy of promoting innovation clusters aims to enhance the competitiveness of industries by strengthening the linkages between industry sectors and research sectors in specific regions. In Korea, after the concept of innovation clusters was introduced by the OECD in 1997, Korean government actively pursued policies based on this concept in the fields of industry, region, and science and technology. Previous policies and research on the activation of innovation clusters have tended to focus on the exchange and collaboration among members. However, this study focused on enhancing the competitiveness of industries and regions, in other words, strengthening the competitiveness of companies, which is the fundamental reason for fostering innovative clusters. Accordingly, this study aimed to analyze the impact of factors activating innovation clusters on the business performance of SMEs located in the Daedeok Innopolis. To achieve this, based on the essential concept of innovation clusters such as industrial agglomeration factors, networking factors, innovation generation factors, the study derived factors for activating innovation clusters and verified hypotheses using the survey results of 175 companies. Among the factors activating innovation clusters, industrial agglomeration and innovation generation were found to have a positive impact on the business performance of companies. However, networking factors were analyzed to have no significant influence on the business performance of companies. This study differentiates itself by addressing the factors for activating innovation clusters through empirical analysis, unlike previous case-based studies. Furthermore, considering the difference between intuitive judgments on networking factors in innovation clusters and their actual impact on business performance, the study raised the practical significance of conducting a comprehensive examination from various perspectives, such as the socially and culturally embedded structures in the region, the characteristics of specialized industries, and the needs of cluster members, to develop more effective policies for innovation clusters.