Environmental regulation and green investments: the role of green finance

2020 ◽  
Vol 14 (2) ◽  
pp. 159 ◽  
Author(s):  
Pasquale Marcello Falcone
Keyword(s):  
Environmental Regulation ◽  
Green Finance ◽  
Green Investments

GREEN BONDS AS A NEW FINANCIAL INSTRUMENT

2020 ◽  
Vol 3 (7) ◽  
pp. 98-102
Author(s):  
M. V. DUBROVA ◽  
◽  
N. N. ZHILINA ◽  
Keyword(s):  
Raw Materials ◽  
Financial Burden ◽  
Environmental Problems ◽  
Green Economy ◽  
Non Profit ◽  
The Public ◽  
Economic Problems ◽  
Green Finance ◽  
Non Profit Organizations

The relevance of the article is determined by the fact that in Russia there is no effective mechanism of state support for the activities of non-profit organizations in the field of “green Finance”. The role of non-profit organizations is leveled, which can become a serious help in solving economic problems, in particular, the problems of recycling and processing of secondary raw materials, the placement of industrial waste and household garbage, and landscaping of large megacities. The main financial burden in the field of “green economy” falls on States and large enterprises. Meanwhile, we cannot ignore the important role of non-profit organizations that can not only draw attention to environmental problems to the public, but also offer their own measures to solve environmental problems. In this regard, it becomes relevant to consider the participation of non-profit organizations in the implementation of environmental projects by attracting “green Finance”.

POTENTIAL DEVELOPMENT OF «GREEN BONDS» IN THE RUSSIAN ECONOMY

2020 ◽  
Vol 1 (8) ◽  
pp. 119-123
Author(s):  
M. V. DUBROVA ◽  
◽  
N. N. ZHILINA ◽  
Keyword(s):  
Raw Materials ◽  
Financial Burden ◽  
Environmental Problems ◽  
Green Economy ◽  
Non Profit ◽  
Russian Economy ◽  
Green Finance ◽  
Potential Development ◽  
Non Profit Organizations

he relevance of the article is determined by the fact that in Russia there is no effective mechanism of state support for the activities of non-profit organizations in the field of «green Finance». The role of non-profit organizations is leveled, which can become a serious help in solving economic problems, in particular, the problems of recycling and processing of secondary raw materials, the placement of industrial waste and household garbage, and landscaping of large megacities. The main financial burden in the field of «green economy» falls on States and large enterprises. Meanwhile, we cannot ignore the important role of non-profit organizations that can not only draw attention to environmental problems to the public, but also offer their own measures to solve environmental problems. In this regard, it becomes relevant to consider the participation of non-profit organizations in the implementation of environmental projects by attracting «green Finance».

Research on green innovation countermeasures of supporting the circular economy to green finance under big data

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhao Yaoteng ◽  
Li Xin
Keyword(s):  
Big Data ◽  
Environmental Regulation ◽  
Fixed Time ◽  
Spatial Effect ◽  
Regression Coefficients ◽  
Green Innovation ◽  
Time And Space ◽  
Content Type ◽  
Green Finance ◽  
Lag Model

PurposeThe purpose of this paper is to explore the sustainable development strategy of green finance under the background of big data.Design/methodology/approachFrom the perspective of big data, this paper uses quantitative and qualitative analysis methods to judge the correlation among green finance, environmental supervision and financial supervision. Green finance gives the entropy method to calculate the score of green finance and environmental regulation, and establishes the spatial lag model under the double fixed effects of time and space.FindingsSpatial autocorrelation test shows that economic spatial weight matrix has obvious spatial effect on green innovation. Through the model selection test, the space lag model with fixed time and space is selected. The regression coefficients of green finance, environmental regulation and their interaction are 0.1598, 0.0541 and 0.1763, respectively, which significantly promote green innovation. The regression coefficients of openness, higher education level and per capita GDP are 0.0361, 0.0819 and 0.0686, respectively, which can significantly promote green innovation.Originality/valueIn view of the current situation of large-scale application of big data technology in green innovation of domestic energy-saving and environmental protection enterprises, this paper establishes a fixed time lag evaluation model of green innovation. M-test statistics show that the original hypothesis with no obvious spatial effect is rejected.

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