The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life

Makarov, Valery; Aivazyan, S. H.; Afanasiev, Mikhail; Bakhtizin, Albert; Nanavyan, A. M.

doi:10.17059/2014-4-1

Cited by 29 publications

(11 citation statements)

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“…A theoretically grounded approach to the analysis of the interrelationship between various directions of regional development is the construction of indices on the basis of a component analysis of the indicators characterizing these areas. At the regional level, the benefits associated with the use of the principal component method and its modifications are most fully disclosed in the works (Aivazyan, 2012;Makarov et al, 2014) in analyzing the quality of life. The problem of constructing indices for two directions of regional development -"production of goods and services" and "welfare" and assessing their interrelationship is discussed below.…”

Section: Introductionmentioning

confidence: 99%

Indicators of Regional Development Using Differentiation Characteristics

Айвазян¹,

Afanasiev²,

Kudrov³

2018

Montenegrin Journal of Economics

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On the example of two directions-"production of goods and services" and "welfare", it is developed a methodology for analyzing the interrelationship between various directions of regional development. The novelty of the results is determined by the fact that the direction indicators are constructed using a common basis formed using the characteristics of regional differentiation obtained from theoretically based models. The index for each direction, constructed in the basis, is maximally correlated with the index formed for the corresponding group of indicators. It is shown that for the considered two directions, the basis ensures higher consistency of the indices and ranks of the regions than the first principal components constructed for each group of the indicators separately. The advantage of the approach is that the indices for different directions based on the basis allow a general interpretation in terms of the differentiation characteristics and allow one to assess the change in the level of socioeconomic development of the region when these characteristics change. The presented results confirm the significance of the influence of technical efficiency on the indices of regional development and its significance in the indicator composition for the direction of "welfare".

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Section: Introductionmentioning

confidence: 99%

Indicators of Regional Development Using Differentiation Characteristics

Айвазян¹,

Afanasiev²,

Kudrov³

2018

Montenegrin Journal of Economics

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“…Studying V.L. Makarov's research the models (modification of Cobb-Douglas production function) were constructed both considering the efficiency factors based on retrospective data for 2009-2011 and without [23]. At the same time the necessary accuracy of basic data approximation was reached due to modeling for the short-term period (one year).…”

Section: Cemi Of Ras Developed the Computable Generalmentioning

confidence: 99%

Effective Administrative Decisions in the Investment Industrial Sphere of the Region (Case of Republic of Bashkortostan, Russia)

Fayzullin¹,

Dzyuba²,

Yangirov³

et al. 2019

Proceedings of the International Conference Communicative Strategies of Information Society (CSIS 2018)

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The objective of the research is to develop the hybrid economic and mathematical model allowing the state executive authorities to make effective administrative decisions in the investment industrial sphere of the region. The model is based on the application of two known methods: Cobb-Douglas production function and dynamic programming. At first the production capabilities of industrial complex branches in the region of the state are estimated. The constructibility of one general production function for several branches of an industrial complex of territorial entity of Russia is empirically estimated (based on the calculation and the analysis of indicator values of resourse productivity). Then, the problem of optimum distribution of state investor's limited financial resources between the branches of industrial complex of the region is solved. The hybrid model has been tested based on the data of regional statistics for 2006-2016 evidence from the Republic of Bashkortostan, Russia. The approach, presented in the research, is universal, i.e. it can be applied for updating provisions of the state investment and industrial policy not only in any federal subject of Russia, but regions of any country in the world having federal framework.

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“…A theoretically substantiated method of constructing an indicator of a certain direction of socio-economic development is a component analysis of indicators characterizing this direction. The most complete methodology of its application and the results of testing in assessing the quality of life are presented in [7]. Further indicators are based on 106 indicators of quality of life standard ISO 37120: 2014.…”

Section: Analysis Of International Experience In "Smart City" Developmentioning

confidence: 99%

How University Acts in the Development of “Smart Cities”

Afanasiev

Lysenkova

2019

SHS Web Conf.

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“Smart city” is a new model of territorial development, taking into account the growing importance of information, innovation and human capital. One of the main elements of the “smart city” is a developed system of higher education. The aim of this work was to study the impact of higher education on "smart" and innovative cities. The objectives of this work were to obtain quantitative characteristics of the impact of the University on the smart city. Approach to solving this problem was to build indicators based on indicators that characterize the quality of life, and ratings to compare cities on their basis. The hypothesis of the study is that the higher education system has a positive impact on the development of smart and innovative cities. A theoretically justified method of constructing an indicator of a certain direction of socio-economic development is a component analysis of indicators characterizing this direction. As a result, the rankings of Russian and foreign cities based on the characteristics of quality of life, which prove that education is a key indicator of the development of "smart" and innovative cities.

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The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life

Cited by 29 publications

References 0 publications

Indicators of Regional Development Using Differentiation Characteristics

Indicators of Regional Development Using Differentiation Characteristics

Effective Administrative Decisions in the Investment Industrial Sphere of the Region (Case of Republic of Bashkortostan, Russia)

How University Acts in the Development of “Smart Cities”

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