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On the assessment of regional intellectual and innovation activities based on measurement theory methods and panel data regression analysis. / Dubina, Igor N.; Mkrtchyan, Gagik M.; Ostaschenko, Tatiana V. et al.

In: International Journal of Business and Globalisation, Vol. 22, No. 4, 01.01.2019, p. 655-680.

Research output: Contribution to journal › Article › peer-review

Harvard

Dubina, IN, Mkrtchyan, GM, Ostaschenko, TV & Baitenizov, DT 2019, 'On the assessment of regional intellectual and innovation activities based on measurement theory methods and panel data regression analysis', International Journal of Business and Globalisation, vol. 22, no. 4, pp. 655-680. https://doi.org/10.1504/IJBG.2019.100259

APA

Dubina, I. N., Mkrtchyan, G. M., Ostaschenko, T. V., & Baitenizov, D. T. (2019). On the assessment of regional intellectual and innovation activities based on measurement theory methods and panel data regression analysis. International Journal of Business and Globalisation, 22(4), 655-680. https://doi.org/10.1504/IJBG.2019.100259

Vancouver

Dubina IN, Mkrtchyan GM, Ostaschenko TV, Baitenizov DT. On the assessment of regional intellectual and innovation activities based on measurement theory methods and panel data regression analysis. International Journal of Business and Globalisation. 2019 Jan 1;22(4):655-680. doi: 10.1504/IJBG.2019.100259

Author

Dubina, Igor N. ; Mkrtchyan, Gagik M. ; Ostaschenko, Tatiana V. et al. / On the assessment of regional intellectual and innovation activities based on measurement theory methods and panel data regression analysis. In: International Journal of Business and Globalisation. 2019 ; Vol. 22, No. 4. pp. 655-680.

BibTeX

@article{1b0c6b97fcf24d0ebdc4cf4390f54137,
title = "On the assessment of regional intellectual and innovation activities based on measurement theory methods and panel data regression analysis",
abstract = "This paper presents the authors' approach to the assessment and analysis of regional intellectual and innovation activities with such main components as intellectual and innovation potential, climate and capital. The validity and reliability of the developed indexes were tested on the basis of a set of economic and statistical data characterising the development of 12 Russian regions for 15 years with methods of factor analysis, correlation and regression analysis and measurement theory. This research demonstrates a stable and statistically significant relationship between economic development of the regions and their intellectual and innovation activities. The panel data regression analysis of the aggregated indexes and the indicators of regional economic development proved the authors' hypothesis of the mutual influence of regional innovation and economic development with a deferred (time lag) effect.",
keywords = "Internal consistency, Measurement theory, Panel data, Regional innovation system, Regional intellectual and innovation activities, Regional intellectual and innovation capital, Regional intellectual and innovation climate, Regional intellectual and innovation potential, Regression analysis, Time lag effect",
author = "Dubina, {Igor N.} and Mkrtchyan, {Gagik M.} and Ostaschenko, {Tatiana V.} and Baitenizov, {Daniyar T.}",
year = "2019",
month = jan,
day = "1",
doi = "10.1504/IJBG.2019.100259",
language = "English",
volume = "22",
pages = "655--680",
journal = "International Journal of Business and Globalisation",
issn = "1753-3627",
publisher = "Inderscience Publishers",
number = "4",

}

RIS

TY - JOUR

T1 - On the assessment of regional intellectual and innovation activities based on measurement theory methods and panel data regression analysis

AU - Dubina, Igor N.

AU - Mkrtchyan, Gagik M.

AU - Ostaschenko, Tatiana V.

AU - Baitenizov, Daniyar T.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This paper presents the authors' approach to the assessment and analysis of regional intellectual and innovation activities with such main components as intellectual and innovation potential, climate and capital. The validity and reliability of the developed indexes were tested on the basis of a set of economic and statistical data characterising the development of 12 Russian regions for 15 years with methods of factor analysis, correlation and regression analysis and measurement theory. This research demonstrates a stable and statistically significant relationship between economic development of the regions and their intellectual and innovation activities. The panel data regression analysis of the aggregated indexes and the indicators of regional economic development proved the authors' hypothesis of the mutual influence of regional innovation and economic development with a deferred (time lag) effect.

AB - This paper presents the authors' approach to the assessment and analysis of regional intellectual and innovation activities with such main components as intellectual and innovation potential, climate and capital. The validity and reliability of the developed indexes were tested on the basis of a set of economic and statistical data characterising the development of 12 Russian regions for 15 years with methods of factor analysis, correlation and regression analysis and measurement theory. This research demonstrates a stable and statistically significant relationship between economic development of the regions and their intellectual and innovation activities. The panel data regression analysis of the aggregated indexes and the indicators of regional economic development proved the authors' hypothesis of the mutual influence of regional innovation and economic development with a deferred (time lag) effect.

KW - Internal consistency

KW - Measurement theory

KW - Panel data

KW - Regional innovation system

KW - Regional intellectual and innovation activities

KW - Regional intellectual and innovation capital

KW - Regional intellectual and innovation climate

KW - Regional intellectual and innovation potential

KW - Regression analysis

KW - Time lag effect

UR - http://www.scopus.com/inward/record.url?scp=85068068987&partnerID=8YFLogxK

U2 - 10.1504/IJBG.2019.100259

DO - 10.1504/IJBG.2019.100259

M3 - Article

AN - SCOPUS:85068068987

VL - 22

SP - 655

EP - 680

JO - International Journal of Business and Globalisation

JF - International Journal of Business and Globalisation

SN - 1753-3627

IS - 4

ER -

ID: 20707915