Related Experiment Video
Updated: Sep 22, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
The influence of finance on China's green development: an empirical study based on quantile regression with
Guangyue Xu1, Huiying Chang2, Hualiu Yang3
1Institute of Industrial Economy and Rural Development, Institute of Ecological Civilization Economy, School of Economics, Henan University, Kaifeng, Henan, 475004, China.
Abstract:
Finance has a strong role in promoting green development; however, there are very few studies quantifying this relationship. To this end, based on the official green development indicator system of the Chinese government and province-level data from 2006 to 2017, the quantile regression model was used to analyze quantitatively the impact of finance on green development. The results show that financial development contributed significantly to green development, and furthermore, financial efficiency and green finance have a strong positive effect with the increase of the quantile, and financial scale also has a significant positive effect, but a diminishing marginal effect. In addition, the impact of financial development on green development has regional differences. In the eastern region, the finance factors can promote green development, but the financial scale and the green finance promotion function weaken along with the quantile increase. The financial scale and green finance do not support green development significantly in the central region. Financial scale, efficiency, and green finance support green development in the west region.
Related Concept Videos
Quantitative Analysis
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
Outliers and Influential Points
Econometric Views (EViews)
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Scatter Plot

