Abstract

With the rapid development of the economy, China’s environment has been damaged severely, which has attracted much attention from scholars and the local government. The concept of green development has been an underlying trend since 2012, and it is of great significance to explore the relationship between economic growth and environmental quality. Huzhou is a prefecture-level city under the jurisdiction of Zhejiang Province, and it is one of the 27 cities in the central area of the Yangtze River Delta. In recent years, this city develops well not only in economic development but also in maintaining a green environment. In the paper, the back propagation neural network is used to evaluate the local environmental quality. Meanwhile, the panel model is exploited to analyze the relationship between economic growth and environmental quality. All the data presented in the paper range from the year 2008 to 2018. Theoretical analysis indicates that the evaluation value of environmental quality, the emissions of industrial SO2, and waste water exhibit an inverted U-shaped relationship with economic growth. As for the regression results, the inflection point of income in the environmental Kuznets curve of the model which takes the evaluation value of the environmental quality as a dependent variable is higher than that of the model which takes the SO2 emission as an independent variable. The research result would help the local government to take appropriate countermeasures to improve the environment and economy.

Highlights

  • With the rapid development of the economy, China’s environment has been greatly damaged since its reform and opening to the world

  • Theoretical analysis indicates that the evaluation value of environmental quality, the emissions of industrial SO2, and waste water exhibit an inverted U-shaped relationship with economic growth

  • The Back Propagation (BP) neural network is employed to evaluate the environmental quality in Huzhou City, and the panel model is exploited to analyze the relationship between economic growth and environmental quality

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Summary

Introduction

With the rapid development of the economy, China’s environment has been greatly damaged since its reform and opening to the world. A harsh environment has affected people’s lives While they enjoy the dividend from the rapid development of the economy, they have to suffer a lot from environmental deterioration. CSSE, 2022, vol., no.1 should deal well with the relationship between economic growth and ecological environment protection, and the economy should never develop at the cost of destroying the environment. Association analysis between economic growth and environmental quality will facilitate a more coordinated development, and help policymakers to make suitable policies and programs, as well as provide a reference for other cities to develop the green economy with high quality. The Back Propagation (BP) neural network is employed to evaluate the environmental quality in Huzhou City, and the panel model is exploited to analyze the relationship between economic growth and environmental quality.

Related Work
Construction of Evaluation Model
Choosing and Processing Data
Analysis of Evaluation Result
Choosing Indexes and Data
Empirical Analysis
Conclusion
Full Text
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