• Title/Summary/Keyword: regional innovation clusters

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The Formation of Innovative Clusters in Kazakhstan: Analysis and Methods for Identifying Specialization

  • Kireyeva, Anel A.;Nurlanova, Nailya K.
    • The Journal of Asian Finance, Economics and Business
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    • v.1 no.1
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    • pp.23-30
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    • 2014
  • The aim of this research is theoretical and methodological approaches to the necessity of formation of innovation clusters as growth poles on the basis of statistical analysis and identification of specialization. In this research, we used methods, which will allow to analyze of innovative processes and to identify of prospective branches of specialization of the formation of innovative clusters in the spatial context. Keeping with the previous literature, the present study is determined by the novelty of the problem, concerning the formation and development of innovative clusters as growth poles, as well as large specifics of problems in our country in the framework of use of innovative clusters. An analysis was showed that Kazakhstan's regions have substantial differences in the groups of regions for most of the indicators have presented form a tightly located clusters and in the ratings of innovative susceptibility and innovative activity. This research has some practical implications, which have proved that innovative clusters become platforms as growth poles for introduction of advanced technologies, development of innovative companies, thereby providing a certain stability of the economy of the regions.

Smart Specialisation Strategy and the Role of Strong Clusters: As a Development Leverage in Asia

  • Anastasopoulos, Despina;Brochler, Raimund;Kalentzis, Arion Louis
    • World Technopolis Review
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    • v.6 no.2
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    • pp.102-112
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    • 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.

The Study of Industrial Clusters in the Busan, Ulsan, Koungnam as Southeast Area of Korea Analysed by the Location Quotient(LQ) Analysis Method (한국 조선산업 연구: 산업클러스터 특화분석 중심으로)

  • Lee, Sang-Yun
    • Journal of Korea Technology Innovation Society
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    • v.14 no.3
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    • pp.599-621
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    • 2011
  • The role of local economies in pursuing national economic development has expanded with greater influence. So a number of countries have adopted industrial cluster policies for regional and national economic development. Korean government, by the same token, puts emphasis on industrial cluster policies. But the academic studies on the necessities and effects of industrial clusters for Korean shipbuilding industry have been carried out little in Korean due to the lack of empirical studies on Korean industrial clusters. So this study focuses on analysing the industrial clusters in the Busan, Ulsan, Koungnam as southeast area of Korea. To be more specific, this study intends to provide answers to the following question: Are there industrial clusters in the Busan, Ulsan, Koungnam as southeast area of Korea analysed by the Location Quotient(LQ) analysis method? And as a consequence, Shipbuilding industrial clusters of southeast area of Korea were not identified.

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Industrial Cluster: Still a Valid Policy Tool for the Creative Economy in Korea? (산업클러스터, 창조경제를 위한 정책수단으로의 가능성)

  • Choo, Sungjae
    • Journal of the Economic Geographical Society of Korea
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    • v.16 no.4
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    • pp.551-566
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    • 2013
  • This study aims to evaluate the industrial cluster policy implemented in Korea during the last decade or so, examine whether it can still be a valid policy measure in the creative economy regime, and propose policy directions for the future. It is evaluated that the cluster policy has contributed to increasing productivity by improving networks between companies, universities and research centers and thus strengthening innovation infrastructure. The policy, however, by its characteristics of government-domination, failed to develop open-ended and flexible spontaneous clusters. Industrial clusters have the capability to contribute to the virtuous circle of creative economy by enhancing creativity and innovativeness, and subsequently by increasing value-added. In order to maximize these positive effects, a few suggestions are made, including being faithful to the very nature of clusters, e.g. geographical proximity and connectedness, intending clusters with creativity well maintained, orienting toward multi-scalar clusters with a mixture of local and global perspectives, and matching regional and industrial policies with regards to clusters.

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A Study on the ERGM on Innopolis Start-ups Networks: Focusing on Daedeok Innopolis (연구소기업 네트워크의 ERGM 분석 연구: 대덕연구개발특구를 중심으로)

  • Jang-Won Koo;Jae-Bin Lim
    • Industry Promotion Research
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    • v.9 no.2
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    • pp.45-58
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    • 2024
  • This study modelled the social network structure characteristics between Innopolis Start-ups located in Daejeon and Innopolis Start-ups' customers scattered across the country as a tendency of regional clustering among homogeneous technologies, and the observed values were included within the 95% confidence interval of the ERGM(Exponential Random Graph Model) analysis model. If both the research institute and the customer company are located in Yuseong-gu, Daejeon, the probability of being connected is about 13 times higher than if they are located in other administrative districts, and there is a strong tendency of connection between firms with the same technology with a negative value of assortment and homogeneity (0.1904), especially among the six technology sectors, with a P value of 0.035. There was a negative value (-0.0035) among firms not located in Yuseong-gu, with less clustering tendency. This confirms that Yuseong-gu, Daejeon, where the Daedeok Innopolis is located, is forming the centre of an innovation cluster.

Analysing the Governance of Regional Policies in the UK: Collaborative Relationships between Stakeholders within the Cambridge Technopole (영국 케임브리지 지역혁신정책상의 거버넌스 구조: 혁신주체간 협력관계를 중심으로)

  • Choi, Young-Chool
    • Journal of the Economic Geographical Society of Korea
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    • v.9 no.1
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    • pp.61-80
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    • 2006
  • The Cambridge Technopole has been recognised as one of the leading clusters in the world, and as such it has been benchmarked by other countries and other regions within the UK. This paper aims to analyse the governance of regional policies in the UK, with particular reference to the relationships between stakeholders operating within the Cambridge Technopole. Major findings of the research are as follows: The central government in the UK has been playing important roles as a customer, regulator and supporter of knowledge sources; Regional innovation policies across central departments have been co-ordinated by the DTI, so that overlapping of policies can be prevented; The policies of individual departments relating to regional innovation are co-ordinated by Government Offices for the Region(GOs) in each region, so that departmental sectionalism can be avoided. At the regional level, the EEDA established in the eastern region of England to which the Cambridge Technopole belongs is in charge of implementing all innovation policies within the region in a consolidated way. Networking organisations such as Cambridge Networks (CN) facilitate knowledge exchange between stakeholders, contributing to the building of mutual trust and creating a high level of social capital essential for regional innovation; The system for commercialising university technology and knowledge has been well institutionalised.

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A Model for Developing Urban Innovation Clusters

  • Morse, Sidney
    • World Technopolis Review
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    • v.2 no.2
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    • pp.81-95
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    • 2013
  • This paper seeks to build on previous work conducted by Porter, Devol, Florida, Bahrami and Evans, Wennberg and Lindqvist, and others contained in the literature, to construct a new way of looking at innovation cluster development. It seeks to describe the key elements contained in the research that serve as building blocks for innovation clustering, adding analysis dimensions that aim to further illuminate understanding of this process. It compares those building block characteristics to the innovation topography of U.S. urban centers, to shed light on a new framework through which urban innovation cluster formation can be considered. It identifies three building block analysis categories: 1) Technological Capability and Capacity (TCC); 2) Intellectual Propulsion Capacity (IPC); and 3) Structural Creative Inspiration (SCI). These three pillars form the architecture for creation of a Strategic Innovation Network (SIN), upon which clustering can be systematically analysed and built. The purpose of the SIN is to optimally organize and connect all available resources that include physical, financial, and human, such that innovation clustering is inspired, encouraged, nurtured, and ultimately constructed as fully functioning socio-economic organisms that provide both local and regional benefits. It is designed to aid both private enterprise and public policy leaders in their strategic planning considerations, and to enhance urban economic development opportunities.

A Critical Review of the EU Smart Specialization and US Manufacturing Renaissance Policies and New Directions for Regional Industrial Policy in Korea (EU의 스마트 전문화 및 미국의 제조업 르네상스 정책에 대한 비판적 검토와 한국 지역산업정책 방향)

  • Jeong, Jun Ho
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.4
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    • pp.782-798
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    • 2016
  • This paper discusses the European Union's smart specialization strategy and US manufacturing renaissance policy and then proposes new directions for regional industrial policy in Korea. The smart specialization strategy is summarized as the entrepreneurial self-discovery and strategic coordination; the manufacturing renaissance policy as the construction of industrial commons based on ecosystem; and Korea's regional industrial policy as the build-up of regional innovation system based upon industrial clusters. The policy cases of the EU and the United States demonstrate the fact that regional industrial policy should be geographically embedded. Also, they show the relevance of policy mix by linking industrial policy with innovation policy for cross-fertilization between different industry and technology. In addition, the state plays a role as a coordinator and mediator by embedding the democratic discipline into industrial ecosystems. Considering these points, regional industrial policy should be transformed into a platform system that can facilitate linkage between industry and technology.

A Study on the Distribution of Information and High Technology Clusters : Kazakhstan's Experience

  • Kireyeva, Anel A.;Abilkayir, Nazerke A.;Tsoy, Alexandr A.
    • Journal of Distribution Science
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    • v.16 no.4
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    • pp.5-15
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    • 2018
  • Purpose - This study aims to identify of prospective areas for the formation of information and high technology clusters, and propose the new distribution of Kazakhstan's regions according to the innovative development and the ability to perceive IT products. Research design, data, and methodology - The application of scientific methods in this research will allow to systematize the available data, from both a theoretical and empirical perspective. In addition, the authors proposed methodological approaches, which have a three-tiered gradation: macro-level, meso-level and micro-level. Results - This study confirms the importance of using of proposed methods and its application for real data in order to the formation of IT and high technology clusters. Further, the obtained results allowed identifying of the distribution of Kazakhstan's regions by innovative development and specialization with using of HHI indexes. Conclusions - According to the results of this theoretical and empirical study proved that distribution of the regions of Kazakhstan and results of HHI indexes shows the power of the agglomeration effect. In addition, according to the conducted survey, we conclude that in Kazakhstan there are sufficient organizational and economic opportunities, trends and conditions for the formation of IT and high technology clusters.

Promoting Innovations through Knowledge Management in a Regional Industrial Cluster (산업클러스터 단위에서의 지식경영을 통한 기업의 혁신 촉진 방안 연구)

  • Cho, Sung-Eui
    • Journal of the Economic Geographical Society of Korea
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    • v.13 no.2
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    • pp.219-233
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    • 2010
  • In this study, the possibility of the application of knowledge management concept in a unit of regional industrial cluster is explored based on diverse case studies. For this purpose, a new framework for knowledge management strategies in an industrial cluster was developed and a model of Knowledge Hub was suggested for the support of integrated knowledge management in an industrial cluster. Additionally, characteristics of Knowledge Hub that should be considered in the design of the Hub are discussed. The concept of Knowledge Hub in this study could be particularly useful for the promotion of innovations in linking clusters and provincial industrial clusters.

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