This article substantiates social well-being of the population as one of the key indicators of socioeconomic inequality. The author advances a scientific idea is that the system of allocation of income and national wealth formed in the post-Soviet Russia, when excessive advantages of some (small social groups) are provided at the cost of limiting functional capabilities of others (larger social groups), which severely contradicts the basic principles of inclusive society and cannot be recognized as socially fair. The conducted analysis of the peculiarities of inequality in post-Soviet Russia describes it as “socially unfair” and excessive. Such inequality negatively affects social well-being of the individuals. It is demonstrated that excessive inequality, with characteristic massive poverty (absolute and relative), in the meta-space of social well-being of the population or the Russian Federation, the prevalent type of life realization of an individual is the “negative expectations”; most significant risk factors for the worsening of social well-being are moral and emotional state of society and some status characteristics of the individual (level of education, professional activity). Using cluster analysis, the author tests the hypothesis on the impact of excessive inequality upon the level of manifestation of deviant behavior of the people in the constituent entities of the Russian Federation. Recommendations are formulated on amending the redistributive policy of the government aimed at reduction of socioeconomic inequality and improvement pf social well-being of the population.
The objective need for environmental investment to overcome the reproduction of anti-sustainable environmental trends in the modern Russian economy and its post-pandemic recovery is substantiated. Environmental investments that meet the criteria of the global ESG agenda are positioned as responsible in their essence and transformative in their functional role. Original scientific judgments are presented on the impact of such investments on the dynamics and intensity of "green" innovations (new technologies, production processes, supply chains capable of solving issues of waste processing and industrial reproduction of raw materials from waste resources, as well as the use of alternative energy sources, etc.), which are able to generate long-term and sustainable growth of aggregate factor productivity (TFP) and ensure the radical transformations of the economic system associated with the formation of a "green" circular economy. Regressive models (growth curves) have been constructed for the current domestic economy, taking into account the volume of environmental investment, confirming the hypothesis of the "weakness" of this process in the Russian Federation, including due to the lack of significant changes in the state environmental policy. The minimum necessary economic tools of the state policy in the field of stimulating environmental investment in Russia have been formed in order to post-pandemic recovery of its economy and ensure long-term sustainable growth of TFP. The conducted research makes a certain contribution to the development of the theory of endogenous economic growth by taking into account the impact of environmental investment, which is initially focused on the effective use of natural capital, on the maximum involvement of waste resources in economic turnover, the replacement of traditional production technologies with environmentally friendly or low-carbon, the improvement of ecosystems, the production potential of the economy, the quality of the environment and social changes.
The relevance of this research is substantiated by the need for prompt from a transition from the consumer model of economic growth towards the investment model for maintaining the long-term economic growth potential even in the conditions of planetary manifestations of large-scale environmental challenges. The authors promote economic investment as the prerequisite and “accelerator” of economic growth, which is adequate to the set goal of sustainable development for the period 2016–2030, “responsible” by nature and “transformative” by its functional role. The article aims to conduct the analytical retrospective assessment of the state of eco-investing in the Russian Federation over the period 2000–2019, determine its restraints, as well as the effective mechanisms for its economic incentive. Research methodology employs a range of procedures and methods that allow acquiring objective conclusions on the matter, namely: form databases of statistical data necessary for the analysis; intellectual data mining with instrumental support of the software package Statistica; and multifactor regression analysis. The author builds the regression models of resource potential of eco-investing, which emphasize the need for creating such normative legal, financial and economic conditions that would encourage the economic entities to invest in reduction of their ecological footprint. Based on examination and summary of the leading world practices in the sphere of state support, and application of the relevant market tools for the development of eco-investing, the article provides recommendations on the development of comprehensive mechanism for its economic motivation in the Russian Federation. Such mechanism successfully combines the methods and tools of both positive and negative motivation, concernment and responsibility measures.
Ключевые слова: неравенство доходов, экономический рост, неравенство потребления, коэффициент фондов, коэффициент Джини. В данной статье проведен анализ существующих теоретических подходов к трактовке взаимосвязи неравенства и экономического роста. Установлено, что дискуссия о направлении и характере связи продолжается, но значительная часть существующих работ подтверждает отрицательное влияние неравенства в доходах на экономический рост и обосновывает данную связь действием политических институтов, инвестиций в человеческий капитал, ренты и др. факторов. В ходе исследования мы оценивали характер связи между неравенством и уровнем валового регионального продукта (ВРП) регионов России с помощью кластерного анализа и диаграмм рассеяния. На основе использования древовидной диаграммы и метода k-средних регионы страны были подразделены на 7 кластеров, однако наличие генеральной тенденции во взаимосвязи неравенства и уровня ВРП не установлено. Полученные нами с помощью диаграмм рассеяния результаты могут трактоваться с позиции положений теории Кузнеца, предполагающей влияние экономического роста на увеличение неравенства в развивающихся экономиках.
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