A Mixed Type Method For Assessing Regional Innovation Potential (Example Of Tatarstan)

2020 ◽  
Author(s):  
L. V. Gusarova
Keyword(s):  
Mixed Type ◽  
Regional Innovation ◽  
Type Method ◽  
Innovation Potential

scholarly journals Innovative potential of Akmola region: problems and prospects of effective development

2020 ◽  
Vol 4 (78) ◽  
pp. 137-142
Author(s):  
G. A. AKZHANOVA ◽  
◽  
G. A. SHMARLOUSKAYA ◽  
Keyword(s):  
Innovation Activity ◽  
Gross Regional Product ◽  
Regional Innovation ◽  
Innovation Potential ◽  
Current State ◽  
Northern Regions ◽  
Innovative Potential ◽  
The Republic ◽  
Effective Development ◽  
Regional Product

The article considers the terms “innovation potential”, “regional innovation potential”, and the state of innovation potential. The purpose of this article is to determine the current state and prospects for the development of the innovative potential of the Akmola region. The research methodology consists in systematization of innovative indicators of the region by comparison and economic and statistical groupings. The analysis of the formation of the innovative potential of the region on the example of the Northern regions of the Republic of Kazakhstan is carried out. In particular, the dynamics of the gross regional product and innovation activity in the Akmola region is presented.

scholarly journals Regional Innovation Systems in Poland: How to classify them?

2021 ◽  
Vol 17 (3) ◽  
pp. 987-1003
Author(s):  
Dorota Ciołek ◽  
Anna Golejewska ◽  
Adriana Zabłocka-Abi Yaghi
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Weighted Average ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Metropolitan Regions ◽  
Industrial Enterprises ◽  
Innovation Potential ◽  
And Performance

The literature emphasises the role of regional and local innovation environment. Regional Innovation Systems show differences in innovation outputs determined by different inputs. Understanding these relationships can have important implications for regional and innovation policy. The research aims to classify Regional Innovation Systems in Poland according to their innovation capacity and performance. The analysis covers 72 subregions (classified as NUTS 3 in the Nomenclature of Territorial Units for Statistics) in 2004–2016. Classes of Regional Innovation Systems in Poland were identified based on a combination of linear and functional approaches and data from published and unpublished sources. It was assumed that innovation systems in Poland differ due to their location in metropolitan and non-metropolitan regions, thus, the Eurostat NUTS 3 metro/non-metro typology was applied for this purpose. Panel data regressions as models with individual random effects were estimated separately for metropolitan and non-metropolitan groups of subregions. The study identified common determinants of innovation outputs in both NUTS 3 types: share of innovative industrial enterprises, industry share, unemployment rate, and employment in research and development. Next, NUTS 3 were classified within each of two analysed types in line with output- and input-indices, the latter being calculated as non-weighted average of significant inputs. Last, the subregions were clustered based on individual inputs to enable a more detailed assessment of their innovation potential. The cluster analysis using k-means method with maximum cluster distance was applied. The results showed that the composition of the classes identified within metropolitan and non-metropolitan systems in 2004– 2016 remains unstable, similarly to the composition of clusters identified by inputs. The latter confirms the changes in components of the capacity within both Regional Innovation System types. The observed situation allows us to assume that Regional Innovation Systems in Poland are evolving. In further research, the efficiency of Regional Innovation Systems should be assessed, taking into account the differences between metropolitan and non-metropolitan regions as well as other environmental factors that may determine the efficiency of innovative processes.

A Trefftz/MFS mixed-type method to solve the Cauchy problem of the Laplace equation

2019 ◽  
Vol 87 ◽  
pp. 87-92 ◽  
Author(s):  
Chein-Shan Liu ◽  
Fajie Wang ◽  
Yan Gu
Keyword(s):  
Cauchy Problem ◽  
Laplace Equation ◽  
Mixed Type ◽  
Type Method ◽  
The Cauchy Problem

scholarly journals The regional innovation potential of industrial clusters

2017 ◽  
Vol 15 (5) ◽  
pp. 881-895
Author(s):  
R.A. Abramov ◽  
◽  
S.K. Podchufarov ◽  
Keyword(s):  
Industrial Clusters ◽  
Regional Innovation ◽  
Innovation Potential

The modern methods for assessment of regional innovation potential: analysis and classification

2014 ◽  
Vol 3 (5) ◽  
pp. 107-120
Author(s):  
Viktorija Rjapuhina ◽  
Dušica Kovačević
Keyword(s):  
Regional Innovation ◽  
Potential Analysis ◽  
Innovation Potential ◽  
Modern Methods

Regionale Innovationspotenziale in Südostasien aus der Sicht einer „neuen“ Wirtschaftsgeographie

2003 ◽  
Vol 47 (1) ◽  
Author(s):  
Matthias Kiese
Keyword(s):  
Empirical Evidence ◽  
Economic Geography ◽  
Spatial Scales ◽  
Methodological Approach ◽  
New Economic Geography ◽  
Future Research ◽  
Regional Innovation ◽  
Knowledge Based ◽  
Innovation Potential ◽  
Science Framework

Regional innovation potential in Southeast Asia - empirical evidence from a ‘new’ economic geography perspective. This paper presents the methodological approach and some basic empirical evidence of a research project measuring and comparing regional innovation potential in Singapore, Penang (Malaysia), and Bangkok. This project is conceptually situated in the context of a ‘new’ economic geography that integrates contributions from geographical economics and the economics of knowledge, learning and innovation into an established regional science framework. It is suggested that future research into the geography of innovation and knowledge-based regional development should not only focus on the relationship between various spatial scales, but also explore multi-dimensional concepts of territorial and non-territorial space.

scholarly journals Analysis of regional innovation environment factors within the institutional approach

2019 ◽  
Vol 91 ◽  
pp. 08063 ◽  
Author(s):  
Galina Snigireva ◽  
Irina Sennikova ◽  
Elena Karanina ◽  
Alexander Bakhtimov ◽  
Larisa Domracheva
Keyword(s):  
Regional Innovation ◽  
Managerial Decision ◽  
Index Method ◽  
New Approach ◽  
Environment Factors ◽  
Correlation And Regression Analysis ◽  
Expert Opinions ◽  
Innovation Potential ◽  
Social And Economic Development ◽  
The Russian Federation

The article deals with a new approach to the assessment of regional innovation environment factors. The approach is based on the assessment of three fundamental factors: the legal, infrastructural, and economic ones. The theoretical significance of the study lies in a contribution to the development of techniques for the assessment of development factors of the innovation environment of regions on the basis of an index method, taking into account expert opinions of innovators. The purpose of the research was to develop a mechanism for the regulation of the development of the regional innovation environment on the basis of the author’s technique - the PRIM index. The methods of research included the economic and statistical methods, methods of expert evaluation, the correlation and regression analysis, and the index method. The result of the research is the formation of an organizational and economic mechanism for the regulation of the development of the regional innovation environment on the basis of the PRIM index method that takes into account the assessment of innovators in order to increase the level of the regional innovation potential as a factor of social and economic development of the subjects of the Russian Federation. Based on this mechanism, the authors proposes an algorithm for managerial decision-making aimed at improving the management of the innovative potential of regions.

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