| Форма представления | Статьи в российских журналах и сборниках |
| Год публикации | 2025 |
| Язык | английский |
|
Хайруллина Лилия Ирековна, автор
|
| Библиографическое описание на языке оригинала |
Adaptive evaluation of regional innovation policy effectiveness in asymmetric
economies: the case of the Russian Federation
Khairullina Liliya Irekovna.2025.№1.-с.72-82 |
| Аннотация |
Scientific research of the SCO countries: synergy and integration |
| Ключевые слова |
innovation policy; asymmetric development; regional innovation
systems; institutional resilience; human capital; effectiveness assessment;
Tatarstan; Russia. |
| Название журнала |
Scientific research of the SCO countries: synergy and integration
|
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=319232 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Хайруллина Лилия Ирековна |
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.-с.72-82 |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=319232 |
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 |
Статьи в российских журналах и сборниках |
ru_RU |
|
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