scholarly journals Environmental Regulation, Green Innovation, and Industrial Green Development: An Empirical Analysis Based on the Spatial Durbin Model

2018 ◽  
Vol 10 (1) ◽  
pp. 223 ◽  
Author(s):  
Zhijun Feng ◽  
Wei Chen
Keyword(s):  
Environmental Regulation ◽  
Empirical Analysis ◽  
Green Innovation ◽  
Spatial Durbin Model ◽  
Green Development

scholarly journals Local Government Competition and Regional Green Development in China: The Mediating Role of Environmental Regulation

2020 ◽  
Vol 17 (10) ◽  
pp. 3485 ◽  
Author(s):  
Na Zhang ◽  
Jinqian Deng ◽  
Fayyaz Ahmad ◽  
Muhammad Umar Draz
Keyword(s):  
Local Government ◽  
Environmental Regulation ◽  
Regional Differences ◽  
Evaluation System ◽  
Measure Data ◽  
Scale Efficiency ◽  
Fiscal Competition ◽  
Green Development ◽  
Key Factor ◽  
Investment Competition

Green development is an important way to meet the challenges of ecological and environmental protection and economic growth, as well as an inevitable choice to realize China’s sustainable development in the new era. The Chinese economic system is such that local government competition has become a key factor affecting regional green development under the current leadership. Based on the inter-provincial panel data of 30 provinces in mainland China from 1997 to 2017, this paper uses the total-factor non-radial directional distance function and slack-based measure data envelopment analysis (SBM-DEA) to measure the green development efficiency of the provinces. Additionally, it also uses the Malmquist–Luenberger (ML) index to decompose green development efficiency and analyzes its internal driving factors. Finally, taking environmental regulation as a mediating variable, this paper empirically analyzes the influence mechanism of local government competition on green development efficiency from three perspectives including growth competition, fiscal competition and investment competition. The study found that: the green development efficiency of Chinese regions showed a downward trend, with significant regional differences; technological progress is the key factor to improve the efficiency of green development, and its role gradually decreases from eastern to western and central regions; pure technical efficiency has become a bottleneck restricting the improvement of green development efficiency, while scale efficiency shows significant regional differences; the growth competition, fiscal competition and investment competition of local government all have a significant inhibitory effect on the efficiency of green development. This paper puts forward policy suggestions supporting enterprise technology research and development, optimizing energy conservation and emission reduction as well as improving the local government performance evaluation system for green development.

scholarly journals Green innovation, government incentive and enterprise performance are explored from the perspective of game

2021 ◽  
Vol 275 ◽  
pp. 02006
Author(s):  
Xiaohui Ren
Keyword(s):  
Game Theory ◽  
Rapid Development ◽  
Enterprise Performance ◽  
Green Innovation ◽  
Green Development ◽  
Pollution Problem ◽  
Environmental Pollution Problem ◽  
And Performance ◽  
The Relationship

The rapid development of economy brings serious environmental pollution problem. Green innovation, as the connection point between government environmental regulation measures and sustainable green development of enterprises, has become one of the important choices for the transformation and development of enterprises. Based on the classic model of “prisoner’s dilemma” in game theory, this paper deeply analyzes the relationship between green innovation and performance. It is found that it is easy to get into trouble if only relying on the spontaneous green innovation within the enterprise. Applying appropriate pressure outside the enterprise can promote the change of green innovation and bring long-term benefits to the enterprise.

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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