scholarly journals ADAPTATION OF FOREIGN EXPERIENCE OF STATE POLICY OF THE DEVELOPMENT OF REGIONAL INNOVATION POTENTIAL TO THE CONDITIONS OF UKRAINE

2014 ◽  
pp. 100-107
Author(s):  
Natalia Bondarchuk ◽  
◽  
Lesya Vasileva ◽  
Keyword(s):  
State Policy ◽  
Regional Innovation ◽  
Foreign Experience ◽  
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.

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

scholarly journals INTERNATIONAL EXPERIENCE IN REDUCING THE WAITING TIME FOR PLANNED MEDICAL CARE: THE POSSIBILITY OF APPLYING THIS EXPERIENCE IN RUSSIA

2021 ◽  
Vol 0 (4) ◽  
pp. 137-158
Author(s):  
Anna Akhmetova ◽  
◽  
Elena Shevchenko ◽  
Taras Sharamko ◽  
Tatyana Aleshina ◽  
...  
Keyword(s):  
Health Care ◽  
Health Services ◽  
Medical Care ◽  
Waiting Time ◽  
State Policy ◽  
Waiting Times ◽  
Social Needs ◽  
Time Limits ◽  
Foreign Experience ◽  
Demand For Health

The imbalance between the demand for health services and their supply leads to a decrease in the availability of health care. The aim of the study is to analyze the key mechanisms of the policy on reducing the waiting time for planned medical care. The issues of ensuring the guarantee for maximum time limits are studied; the foreign experience of managing waiting times for medical care is reviewed, the possibility of applying it in Russian practice is analyzed; the possibilities of reducing waiting times at the level of medical organizations are considered. The review of foreign experience shows a purposeful state policy to reduce waiting times, and allows us to determine the most effective measures. In Russia, the guaranteed maximum patient waiting times are shorter than in most of the countries reviewed, however, state resources do not support these guarantees; there is no unified state approach for monitoring, and no well-thought-out mechanism for their regulation, based on both system capabilities and social needs. Taking into account the studied international and Russian experience, the recommendations for creating a system for managing the waiting time for planned medical care in Russia are proposed.

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