KFU. Card publication. Measurement of cognitive growth factors of regional economy based on panel data

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

MEASUREMENT OF COGNITIVE GROWTH FACTORS OF REGIONAL ECONOMY BASED ON PANEL DATA

Form of presentation

Articles in international journals and collections

Year of publication

2014

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Authors, employees of KFU

Ismagilov Ilyas Idrisovich, author

Bibliographic description in the original language

Kadochnikova, E.I., Ismigilov, I.I. Measurement of cognitive growth factors of regional economy based on panel data // Mediterranean Journal of Social Sciences, Volume 5, Issue 24, 1 November 2014, Pages 377-382

Annotation

The article seeks to demonstrate the need for improved mesoeconomical measurement by separating the sphere of production and dissemination of knowledge and formulate an approach to the measurement of cognitive factors in the economic growth of the regional economy. This suggests presenting a classification of growth factors, theoretical principles of knowledge management, knowledge base and the methods of multivariate data analysis: crossed classification and panel data. The study intends to provide a method for measuring changes in the economy of the region under the influence of new knowledge by means of an econometric analysis of the knowledge indicators system - predictors of the cognitive factors of economic growth in the region. The author applies a multidisciplinary approach to the study, carrying out a synthesis of scientific publications on the problems of economic growth, knowledge management, and accumulation of knowledge in the information space of the region, applied analysis. It is emphasized that there is the need for multivariate statistical methods in the analysis of stochastic information. It is proposed to measure and simulate the spatial heterogeneity of the innovation economy based on panel data. The article stresses the need for and the importance of measuring cognitive growth factors for the innovation regional economy. The result is a methodical approach to the calculation of integral indices on the basis of a system of knowledge indicators in the regional economy. The article presents the more conceptual judgments and general recommendations. Therefore, future studies can perform more detailed calculations and experimental development. The presented methodical approach can be useful for improving the monitoring in the system of the state strategic planning to increase the efficiency of innovation and gain competitive advantages of the region's economy.

Keywords

Economic growth; Innovations; Integral index; Knowledge management; Models of panel data; Regional economy

The name of the journal

Mediterranean Journal of Social Sciences

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-84911396790&origin=resultslist&sort=plf-f&src=s&st1=Kadochnikova+E.I.&sid=AB320541F4538D5B2F04E610BEB415EB.y7ESLndDIsN8cE7qwvy6w%3a20&sot=b&sdt=b&sl=30&s=AUTHOR-NAME%28Kadochnikova+E.I.%29&relpos=0&relpos

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

https://repository.kpfu.ru/eng/?p_id=93893&p_lang=2

Resource files

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5004_19476_1_PB.pdf	0,20	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Ismagilov Ilyas Idrisovich	ru_RU
dc.date.accessioned	2014-01-01T00:00:00Z	ru_RU
dc.date.available	2014-01-01T00:00:00Z	ru_RU
dc.date.issued	2014	ru_RU
dc.identifier.citation	Kadochnikova, E.I., Ismigilov, I.I. Measurement of cognitive growth factors of regional economy based on panel data // Mediterranean Journal of Social Sciences, Volume 5, Issue 24, 1 November 2014, Pages 377-382	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=93893&p_lang=2	ru_RU
dc.description.abstract	Mediterranean Journal of Social Sciences	ru_RU
dc.description.abstract	The article seeks to demonstrate the need for improved mesoeconomical measurement by separating the sphere of production and dissemination of knowledge and formulate an approach to the measurement of cognitive factors in the economic growth of the regional economy. This suggests presenting a classification of growth factors, theoretical principles of knowledge management, knowledge base and the methods of multivariate data analysis: crossed classification and panel data. The study intends to provide a method for measuring changes in the economy of the region under the influence of new knowledge by means of an econometric analysis of the knowledge indicators system - predictors of the cognitive factors of economic growth in the region. The author applies a multidisciplinary approach to the study, carrying out a synthesis of scientific publications on the problems of economic growth, knowledge management, and accumulation of knowledge in the information space of the region, applied analysis. It is emphasized that there is the need for multivariate statistical methods in the analysis of stochastic information. It is proposed to measure and simulate the spatial heterogeneity of the innovation economy based on panel data. The article stresses the need for and the importance of measuring cognitive growth factors for the innovation regional economy. The result is a methodical approach to the calculation of integral indices on the basis of a system of knowledge indicators in the regional economy. The article presents the more conceptual judgments and general recommendations. Therefore, future studies can perform more detailed calculations and experimental development. The presented methodical approach can be useful for improving the monitoring in the system of the state strategic planning to increase the efficiency of innovation and gain competitive advantages of the region's economy.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Measurement of cognitive growth factors of regional economy based on panel data	ru_RU
dc.type	Articles in international journals and collections	ru_RU