Methodology of Criterial Evaluation of Consequences of the Industrial Revolution of the 21st Century

Ragulina, Yulia V.; Alekseev, Alexander N.; Strizhkina, Irina V.; Tumanov, Arseniy I.

doi:10.1007/978-3-319-94310-7_24

Cited by 94 publications

(13 citation statements)

References 11 publications

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“…The social consequences of the recession of business activity under the influence of economic crises are discussed in the works of Goyal and Sergi ( 2015 ), Pichkov ( 2016 ), Popkova and Sergi ( 2020 ), Popkova and Gulzat ( 2020 ), Popkova and Zmiyak ( 2019 ), Zavyalova et al ( 2018 ). Crisis phenomena in a market economy and their impact on the sustainable development of modern economic systems are discussed in the works of Andronova et al ( 2019 ), Frolov et al ( 2017 ), Haabazoka ( 2019 ), Inshakov et al ( 2019 ), Petrenko et al ( 2018 ), Popkova et al ( 2014 ), Popkova et al ( 2017 ), Popkova et al ( 2016 ), Pozdnyakova et al ( 2017 ), Ragulina ( 2019 ), Ragulina et al ( 2019 ), Sergi ( 2018 ), Sergi et al ( 2019 ), Lukyanenko ( 2017 ), Borodin and Morozova ( 2017 ), Popkova ( 2017 ).…”

Section: Methodsmentioning

confidence: 99%

The Social Impact of the Downturn in Business and the New Context of Sustainable Development in the Context of the 2020 Economic Crisis in Developing Countries

Shabaltina

Karbekova

Milkina

et al. 2021

Lecture Notes in Networks and Systems

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Purpose: The purpose of this work is to assess the nature and extent of the social consequences of the downturn in business activity, as well as to predict the new context of sustainable development in the context of the 2020 economic crisis in developing countries. Design/Methodology/Approach : Regression analysis is used to assess the impact of the social context on the sustainable development of developing economies. It determines the dependence of the manifestations of sustainable economic development on indicators of the social context of sustainable development - the level of poverty, social inequality (Gini coefficient) and average consumption per capita. To assess the social consequences of the decline in business activity in the context of the 2020 economic crisis, forecasts are made “all other things being equal” on the basis of arithmetic and standard deviations for 2019. The worst of the reasonably probable values are determined, which are substituted into the multiple linear regression equations to determine the new context of sustainable development. Findings : It has been proven that the new social context will be linked to the pronounced negative effects on sustainable development in developing countries. The sustainable development index will decline by 4.64%, GDP per capita by 104.42%, and global competitiveness by 7.38%. Originality/Value : It is shown that the social consequences of the decline in business activity in the context of the 2020 economic crisis in developing countries will be associated with an increase in poverty by 295.93%, an increase in social inequality (Gini coefficient) by 64.93% and a decrease in average per capita consumption by 60.25%. As a result, there will be an overall decline in sustainable development indicators by an average of 11.26%. Therefore, the new context of sustainable development requires active crisis management measures aimed at overcoming the «institutional trap» of alternating business downturn and demand reduction.

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Section: Methodsmentioning

confidence: 99%

The Social Impact of the Downturn in Business and the New Context of Sustainable Development in the Context of the 2020 Economic Crisis in Developing Countries

Shabaltina

Karbekova

Milkina

et al. 2021

Lecture Notes in Networks and Systems

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show abstract

“…The social aspect of sustainable development as a process of provision of society's balance is studied in the works Au (2019), Eustachio et al (2019), Naderi et al (2019), Nayak et al (2019), Tacon (2019), Thakhathi (2019), and Yang et al (2019). The issues of socio-economic inequality are studied in the works Agunovich et al (2018), D'Aleo and Sergi (2017), Goyal et al (2015, 2017), Popkova and French (2017), Popkova et al (2017, 2018, 2019), Popkova and Gulzat (2020), Popkova and Zmiyak (2019), Popkova and Sergi (2018), Pritvorova et al (2018), Qerimi and Sergi (2015), Ragulina (2019), Ragulina et al (2019), Sergi et al (2019a, b), Shevyakova and Petrenko (2018) and Shevyakova et al (2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Socio-economic inequality as a barrier on the path of sustainable development: “institutional traps” and perspectives of overcoming them

Абашидзе

Inshakova

Солнцев

et al. 2020

IJSSP

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PurposeThe purpose of the paper is to study the problem of socio-economic inequality from the positions of the neo-institutional economic theory, to determine the causal connections of emergence and manifestation of this problem as a barrier on the path of sustainable development and to develop institutional measures for its solution based on state regulation.Design/methodology/approachThe scientific and methodological basis of this research is based on regression analysis, which is used for creating and analyzing the regression curves. For the fullest coverage of countries of the world and provision of high representation of the research results, the objects of the research are countries from each category that were distinguished according to their position in the global rating of countries as to the index of sustainable development, calculated and compiled by Sustainable Development Solutions Network (2019).FindingsIt is substantiated that financial inequality is a result of violation of the principles of social justice—primarily, in the labor market. The institutional approach, which is used for studying the problem of socio-economic inequality, allows presenting this problem as a result of the action of social institutes with own system of rules and norms and offering the institutional measures of regulation, which are to influence the rules and norms in society in the labor market. Due to this, the object of regulation is not the consequence but the reasons—and better and long-term results are achieved.Originality/valueIt is proved that social justice is the key condition of overcoming socio-economic inequality, formation of inclusive society and achievement of balance of the global economic system—thus opening a path to sustainable development. Four “institutional traps” are determined, which establish the practices of violation of the principles of social justice in the system of norms and rules of behavior of the labor market's participants. The authors determine perspectives and directions and offer measures of state regulation of the institutes of socio-economic inequality for its overcoming and provision of sustainable development of national economy and the global economy.

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“…Economic growth and development of social market economy are studied in Popkova and Zmiyak (2019), Popkova and Sergi (2018), Pritvorova et al (2018), Qerimi and Sergi (2015), Ragulina (2019), Ragulina et al (2019a, b), Schlösser et al (2017), Sergi et al (2019a, b, c), Shevyakova and Petrenko (2018), Shevyakova et al (2019), Spahn (2016) and Tacon (2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Development of social market economy under the influence of noneconomic factors: modeling and regulation

Inshakova

Frolova

Galkinа

et al. 2020

IJSSP

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PurposeThe purpose of the paper is to model and develop recommendations for regulating the development of social market economy under the influence of noneconomic factors.Design/methodology/approachThe authors determine the existing examples of social market economies, in which quality of life clearly correlates with economic growth – and the research objects are thus determined. Then, the list of noneconomic factors, which could be quantitatively characterized based on the official statistics, is formed. The econometric model of dependence of the rate of economic growth of the selected noneconomic factors is created, and it is determined at which combination of these factors' influence it is possible to reach the target rate of economic growth of social market economy. Data are processed automatically by compiling the descriptive statistics and conducting regression analysis within the method of imitation modeling and multiparametric nonlinear optimization.FindingsIt is shown that, unlike the classical market economy (pure capitalism), in which economic factors dominate, social market economy (mixture of capitalism and socialism) is also influenced by noneconomic factors. This changes the view on economic growth as one of the most significant processes in the economic practice and one of the key research objects in economics. It is substantiated that there's a necessity not for micro- (as in the classical market economy) but for macroeconomic view on economic growth through the prism of factors that are external to entrepreneurship.Originality/valueThe results of imitation modeling allowed reducing the uncertainty and reflecting the specifics of economic growth of social market economy. The compiled model of multiple linear regression allowed narrowing down the circle and outlining four main noneconomic factors of economic growth of social market economy. The authors' recommendations for regulation of these factors are offered, and a mechanism of regulation of development of social market economy based on noneconomic factors management is offered.

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Methodology of Criterial Evaluation of Consequences of the Industrial Revolution of the 21st Century

Cited by 94 publications

References 11 publications

The Social Impact of the Downturn in Business and the New Context of Sustainable Development in the Context of the 2020 Economic Crisis in Developing Countries

The Social Impact of the Downturn in Business and the New Context of Sustainable Development in the Context of the 2020 Economic Crisis in Developing Countries

Socio-economic inequality as a barrier on the path of sustainable development: “institutional traps” and perspectives of overcoming them

Development of social market economy under the influence of noneconomic factors: modeling and regulation

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