Abstract

A novel four-dimensional energy, economic, and environmental (3E) under energy reduction constraints chaotic system is proposed. The acquisition of environmental quality data is the key to this paper. During the course of the study, we used Bayesian estimation algorithm to calibrate the environmental quality. Based on the official data, the Levenberg–Marquardt backpropagation neural network method was optimized by genetic algorithm to effectively identify the parameters in the 3E system. The research results show that although increasing energy reduction inputs can improve environmental quality, the effect on energy intensity and overall stability of the system is not obvious. When polluting input in the ecological environment system affects its maximum capacity, the environmental system collapses (i.e., the ecological system can no longer purify the environment through the self-circulation process and will eventually die out). Therefore, it is necessary to correctly grasp the ecological environment protection and the relationship between economic developments and explore synergies to promote ecological priorities and green development new ideas.

Highlights

  • In the context of the rapid development of the global economy, China has become one of the largest economy groups; there are obvious contradictions between rapid economic growth with energy use and the protection of the environment. ere are mutual influences and mutual checks and balances among energy systems, economic systems, and environmental systems. erefore, to achieve coordinated development of energy, economic, and environmental system has become an important part of achieving development goals of the region

  • After the pollution emission peak is lowered again F 0.3816, the energy intensity and environmental quality evolve to a stable value at a relatively fast rate, and the peak value of the energy intensity and the center value of the oscillation are reduced again before comparison. erefore, it can be better explained that effective control of the peak arrival time of pollution emissions can be used as an important decision for pollution emission control and energy intensity reduction

  • As the environmental capacity decreases, over time, the evolution of environmental quality shows an upward trend of fluctuations and fluctuations around a certain central value; when the capacity of the ecosystem falls to the limit, the system collapses

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Summary

Introduction

In the context of the rapid development of the global economy, China has become one of the largest economy groups; there are obvious contradictions between rapid economic growth with energy use and the protection of the environment. ere are mutual influences and mutual checks and balances among energy systems, economic systems, and environmental systems. erefore, to achieve coordinated development of energy, economic, and environmental system has become an important part of achieving development goals of the region. Loschel and Otto have built up a dynamic balance model to study the relationships among the variables including carbon dioxide emission, energy consumption, speed of technological innovation, and economic development. His conclusion suggests that decision-makers prudently design the carbon dioxide emission cut policies [19]. Is study makes a series of significant contributions to the research of the 3E’s complexity: First, this study considers the inclusion of energy reduction constraints on the 3E system proposed and gets a new four-dimensional system, which is more in line with the actual situation and the current development needs.

Model Construct and Theoretical Analysis
System Parameter Identification
System Parameter Analysis
Conclusion
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