KFU. Card publication. ADAPTIVE EVALUATION OF REGIONAL INNOVATION POLICY EFFECTIVENESS IN ASYMMETRIC ECONOMIES: THE CASE OF THE RUSSIAN FEDERATION

- RUS
- 中文
- ES

ADAPTIVE EVALUATION OF REGIONAL INNOVATION POLICY EFFECTIVENESS IN ASYMMETRIC ECONOMIES: THE CASE OF THE RUSSIAN FEDERATION

Form of presentation

Articles in Russian journals and collections

Year of publication

2025

��

��

Authors, employees of KFU

Khayrullina Liliya Irekovna, author

Bibliographic description in the original language

Adaptive evaluation of regional innovation policy effectiveness in asymmetric economies: the case of the Russian Federation Khairullina Liliya Irekovna.2025.�1.-s.72-82

Annotation

Scientific research of the SCO countries: synergy and integration

Keywords

innovation policy; asymmetric development; regional innovation systems; institutional resilience; human capital; effectiveness assessment; Tatarstan; Russia.

The name of the journal

Scientific research of the SCO countries: synergy and integration

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=319232&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Khayrullina Liliya Irekovna	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	Adaptive evaluation of regional innovation policy effectiveness in asymmetric economies: the case of the Russian Federation Khairullina Liliya Irekovna.2025.�1.-�.72-82	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=319232&p_lang=2	ru_RU
dc.description.abstract	Scientific research of the SCO countries: synergy and integration	ru_RU
dc.description.abstract	The article examines methodological and empirical approaches to assessing the effectiveness of innovation policy under conditions of asymmetric regional development. Based on a multidimensional framework, the study identifies the limitations of traditional input- and output-based evaluation models that overlook institutional disparities, human capital sustainability, and the adaptive capacity of regional innovation systems. A four-block model is proposed, integrating financial-economic, institutional-organizational, human capital, and resilience indicators (KPI-resilience). The methodology was empirically tested using data from the regions of the Russian Federation, with a specific focus on the Republic of Tatarstan. The results reveal a pronounced asymmetry of innovation performance across regions and confirm that institutional density and human capital resilience can partially offset financial constraints. The findings contribute to the development of adaptive tools for innovation policy evaluation in countries with heterogeneous institutional environments and support evidence- based decision-making in regional governance.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	ADAPTIVE EVALUATION OF REGIONAL INNOVATION POLICY EFFECTIVENESS IN ASYMMETRIC ECONOMIES: THE CASE OF THE RUSSIAN FEDERATION	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU