Eco-investing in the Russian Federation: analytical retrospective assessment, restraints, and mechanisms of its economic incentive

Autor: Evgenij Danilovich Kormishkin, Ludmila Aleksandrovna Kormishkina
Rok vydání: 2021
Předmět:
Zdroj: Национальная безопасность / nota bene. :69-83
ISSN: 2454-0668
DOI: 10.7256/2454-0668.2021.4.36411
Popis: 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.
Databáze: OpenAIRE