Comparison of innovative development indexes in the space of regional differentiation characteristics

Currently, one of the priorities of the country's development is the transition of the economy to an innovative path of development. Analysis and evaluation of innovative development at the regional and national levels, quantitative assessment of regional innovation activity, and development of methods for evaluating the effectiveness of interaction between science and business that allow choosing the right strategies for solving management problems are of particular relevance. The subject of the research is the indexes of innovative development of regions. The purpose of the study is to compare the indexes of innovative development of regions and identify indexes that do not have significant differences. Eight indexes describing the innovative development of Russian regions are compared. We use four of the author's indexes, published earlier: the index of technical efficiency innovative space for international patent applications TEMPZ, the index of technical efficiency innovative space for patent applications TEPZ, the index of technical efficiency innovative space issued patents TEPV and the index of technical efficiency innovative space developed for new technologies TETECH. Along with the author's indexes, four other indexes with a similar applied focus are considered, published by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) in National Research University — Higher School of Economics (HSE), RIA rating, and Association of Innovative Regions of Russia (AIRR). In the course of the study, a comparative analysis of the indexes of innovative development in the space of expert-defined characteristics of regional differentiation was made. Analysis of the cosines of the angles between the indexes constructed using the beta coefficients of the regressions of these indexes on the differentiation characteristics allows us to refine the results of correlation analysis and identify a subset of indexes that are not distinguishable when solving control problems parameterized using the differentiation characteristics. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	M. Y. Afanasiev [verfasserIn] A. V. Kudrov [verfasserIn] M. A. Lysenkova [verfasserIn]

Format:	E-Artikel
Sprache:	Russisch

Erschienen:	2021

Schlagwörter:	stochastic frontier, efficiency assessment, technical efficiency, innovative development, economics

Übergeordnetes Werk:	In: Вестник Воронежского государственного университета инженерных технологий - Voronezh State University of Engineering Technologies, 2016, 82(2021), 4, Seite 340-346
Übergeordnetes Werk:	volume:82 ; year:2021 ; number:4 ; pages:340-346

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.20914/2310-1202-2020-4-340-346

Katalog-ID:	DOAJ033676151

Internformat


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allfieldsSound	10.20914/2310-1202-2020-4-340-346 doi (DE-627)DOAJ033676151 (DE-599)DOAJ2c09050c34cc47d687e4e8a15c8c0b10 DE-627 ger DE-627 rakwb rus TP368-456 M. Y. Afanasiev verfasserin aut Comparison of innovative development indexes in the space of regional differentiation characteristics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Currently, one of the priorities of the country's development is the transition of the economy to an innovative path of development. Analysis and evaluation of innovative development at the regional and national levels, quantitative assessment of regional innovation activity, and development of methods for evaluating the effectiveness of interaction between science and business that allow choosing the right strategies for solving management problems are of particular relevance. The subject of the research is the indexes of innovative development of regions. The purpose of the study is to compare the indexes of innovative development of regions and identify indexes that do not have significant differences. Eight indexes describing the innovative development of Russian regions are compared. We use four of the author's indexes, published earlier: the index of technical efficiency innovative space for international patent applications TEMPZ, the index of technical efficiency innovative space for patent applications TEPZ, the index of technical efficiency innovative space issued patents TEPV and the index of technical efficiency innovative space developed for new technologies TETECH. Along with the author's indexes, four other indexes with a similar applied focus are considered, published by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) in National Research University — Higher School of Economics (HSE), RIA rating, and Association of Innovative Regions of Russia (AIRR). In the course of the study, a comparative analysis of the indexes of innovative development in the space of expert-defined characteristics of regional differentiation was made. Analysis of the cosines of the angles between the indexes constructed using the beta coefficients of the regressions of these indexes on the differentiation characteristics allows us to refine the results of correlation analysis and identify a subset of indexes that are not distinguishable when solving control problems parameterized using the differentiation characteristics. stochastic frontier, efficiency assessment, technical efficiency, innovative development, economics Food processing and manufacture A. V. Kudrov verfasserin aut M. A. Lysenkova verfasserin aut In Вестник Воронежского государственного университета инженерных технологий Voronezh State University of Engineering Technologies, 2016 82(2021), 4, Seite 340-346 (DE-627)88565837X (DE-600)2893302-3 23101202 nnns volume:82 year:2021 number:4 pages:340-346 https://doi.org/10.20914/2310-1202-2020-4-340-346 kostenfrei https://doaj.org/article/2c09050c34cc47d687e4e8a15c8c0b10 kostenfrei https://www.vestnik-vsuet.ru/vguit/article/view/2636 kostenfrei https://doaj.org/toc/2226-910X Journal toc kostenfrei https://doaj.org/toc/2310-1202 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2021 4 340-346
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title_auth	Comparison of innovative development indexes in the space of regional differentiation characteristics
abstract	Currently, one of the priorities of the country's development is the transition of the economy to an innovative path of development. Analysis and evaluation of innovative development at the regional and national levels, quantitative assessment of regional innovation activity, and development of methods for evaluating the effectiveness of interaction between science and business that allow choosing the right strategies for solving management problems are of particular relevance. The subject of the research is the indexes of innovative development of regions. The purpose of the study is to compare the indexes of innovative development of regions and identify indexes that do not have significant differences. Eight indexes describing the innovative development of Russian regions are compared. We use four of the author's indexes, published earlier: the index of technical efficiency innovative space for international patent applications TEMPZ, the index of technical efficiency innovative space for patent applications TEPZ, the index of technical efficiency innovative space issued patents TEPV and the index of technical efficiency innovative space developed for new technologies TETECH. Along with the author's indexes, four other indexes with a similar applied focus are considered, published by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) in National Research University — Higher School of Economics (HSE), RIA rating, and Association of Innovative Regions of Russia (AIRR). In the course of the study, a comparative analysis of the indexes of innovative development in the space of expert-defined characteristics of regional differentiation was made. Analysis of the cosines of the angles between the indexes constructed using the beta coefficients of the regressions of these indexes on the differentiation characteristics allows us to refine the results of correlation analysis and identify a subset of indexes that are not distinguishable when solving control problems parameterized using the differentiation characteristics.
abstractGer	Currently, one of the priorities of the country's development is the transition of the economy to an innovative path of development. Analysis and evaluation of innovative development at the regional and national levels, quantitative assessment of regional innovation activity, and development of methods for evaluating the effectiveness of interaction between science and business that allow choosing the right strategies for solving management problems are of particular relevance. The subject of the research is the indexes of innovative development of regions. The purpose of the study is to compare the indexes of innovative development of regions and identify indexes that do not have significant differences. Eight indexes describing the innovative development of Russian regions are compared. We use four of the author's indexes, published earlier: the index of technical efficiency innovative space for international patent applications TEMPZ, the index of technical efficiency innovative space for patent applications TEPZ, the index of technical efficiency innovative space issued patents TEPV and the index of technical efficiency innovative space developed for new technologies TETECH. Along with the author's indexes, four other indexes with a similar applied focus are considered, published by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) in National Research University — Higher School of Economics (HSE), RIA rating, and Association of Innovative Regions of Russia (AIRR). In the course of the study, a comparative analysis of the indexes of innovative development in the space of expert-defined characteristics of regional differentiation was made. Analysis of the cosines of the angles between the indexes constructed using the beta coefficients of the regressions of these indexes on the differentiation characteristics allows us to refine the results of correlation analysis and identify a subset of indexes that are not distinguishable when solving control problems parameterized using the differentiation characteristics.
abstract_unstemmed	Currently, one of the priorities of the country's development is the transition of the economy to an innovative path of development. Analysis and evaluation of innovative development at the regional and national levels, quantitative assessment of regional innovation activity, and development of methods for evaluating the effectiveness of interaction between science and business that allow choosing the right strategies for solving management problems are of particular relevance. The subject of the research is the indexes of innovative development of regions. The purpose of the study is to compare the indexes of innovative development of regions and identify indexes that do not have significant differences. Eight indexes describing the innovative development of Russian regions are compared. We use four of the author's indexes, published earlier: the index of technical efficiency innovative space for international patent applications TEMPZ, the index of technical efficiency innovative space for patent applications TEPZ, the index of technical efficiency innovative space issued patents TEPV and the index of technical efficiency innovative space developed for new technologies TETECH. Along with the author's indexes, four other indexes with a similar applied focus are considered, published by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) in National Research University — Higher School of Economics (HSE), RIA rating, and Association of Innovative Regions of Russia (AIRR). In the course of the study, a comparative analysis of the indexes of innovative development in the space of expert-defined characteristics of regional differentiation was made. Analysis of the cosines of the angles between the indexes constructed using the beta coefficients of the regressions of these indexes on the differentiation characteristics allows us to refine the results of correlation analysis and identify a subset of indexes that are not distinguishable when solving control problems parameterized using the differentiation characteristics.
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title_short	Comparison of innovative development indexes in the space of regional differentiation characteristics
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We use four of the author's indexes, published earlier: the index of technical efficiency innovative space for international patent applications TEMPZ, the index of technical efficiency innovative space for patent applications TEPZ, the index of technical efficiency innovative space issued patents TEPV and the index of technical efficiency innovative space developed for new technologies TETECH. Along with the author's indexes, four other indexes with a similar applied focus are considered, published by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) in National Research University — Higher School of Economics (HSE), RIA rating, and Association of Innovative Regions of Russia (AIRR). In the course of the study, a comparative analysis of the indexes of innovative development in the space of expert-defined characteristics of regional differentiation was made. Analysis of the cosines of the angles between the indexes constructed using the beta coefficients of the regressions of these indexes on the differentiation characteristics allows us to refine the results of correlation analysis and identify a subset of indexes that are not distinguishable when solving control problems parameterized using the differentiation characteristics.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">stochastic frontier, efficiency assessment, technical efficiency, innovative development, economics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Food processing and manufacture</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">A. V. Kudrov</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">M. A. Lysenkova</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Вестник Воронежского государственного университета инженерных технологий</subfield><subfield code="d">Voronezh State University of Engineering Technologies, 2016</subfield><subfield code="g">82(2021), 4, Seite 340-346</subfield><subfield code="w">(DE-627)88565837X</subfield><subfield code="w">(DE-600)2893302-3</subfield><subfield code="x">23101202</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:82</subfield><subfield code="g">year:2021</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:340-346</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.20914/2310-1202-2020-4-340-346</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield 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Comparison of innovative development indexes in the space of regional differentiation characteristics

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