Spatial differentiation and influencing factors of green finance development level in China

Abstract

The entropy method measures the development level of green finance in 30 provinces and cities in China, and the spatial analysis method is used to describe the difference. Spatial pattern of the development level of green finance in China and empirically analyze the influencing factors of the development level of green finance. The results of the spatial econometric model show that the absolute difference in the development level of China’s green finance shows an overall increasing trend, and the relative difference shows a downward trend year by year. The level of financial development and environmental governance promote the development of green finance, while the level of economic growth and energy consumption inhibit the development of green finance. On this basis, we put forward countermeasures and suggestions from strengthening government functions and adjusting industrial structure according to economic growth, so as to promote the development of green finance in China.

Variance Analysis in China’s Coal Mine Accident Studies Based on Data Mining

“…(2) Refine the study scale. Coal mine accident prevention and control strategies in China have regional characteristics [ 33 ], and studies in Chinese tend to focus on the national scale, while studies in English tend to focus on the status quo of individual provinces or single coal mines, which is not conducive to accurately grasping the regional differences of coal mine accidents in China. More attention should be paid to regional differences, and the spatial and temporal evolution characteristics and potential patterns of coal mine accidents in China should be explored according to coal-producing regions or governmental supervisory areas, which can provide more targeted references for practical work.…”

“…Such papers, however, have more obvious characteristics of the times. After the establishment of a national system of coal mine safety infrastructure in 2008 [ 33 ], studies on the government-enterprise game decreased significantly. The English studies entered the risk evaluation stage earlier (1997–2011), and the objects of the studies were still mainly miners.…”

“…(3) Coal mine safety management ( Table 6 ): As shown by the previous studies [ 33 ], China’ coal mine safety production levels were in an unstable state from 2008 to 2015. As a result, the papers on corporate safety culture building [ 111 , 112 , 113 ], safety atmosphere (miners’ work–family atmosphere, socio-economic and safety atmosphere, and safety atmosphere at the enterprise leadership level) [ 114 , 115 , 116 ], coal mining capacity and risk assessment, and government-enterprise game and management effectiveness analysis [ 117 , 118 , 119 ] were centralized in this period.…”

“…From the perspective of the study objects, Chinese studies have progressively focused more on water damage in coal mines, which is directly related to the frequent occurrence of extreme weather in China [ 33 ], while the English papers continuously focused on gas explosion and coal spontaneous combustion. From the perspective of technical methods, Chinese studies pay more attention to automatic reasoning of accident cases and application of AI technology.…”

Multi-dimensional safety risk assessment on coal mines under the profitability dilemma

“…In 2020, the death rate per million tons was 27.4 times that of the country and 164.4 times that of Heilongjiang Province. Zhou 2 divided China into five regions based on the million-ton mortality data of each province in China from 2001 to 2019. Among them, the southern region, where province A is located, has the lowest safety level.…”