Dynamics of economic growth and environment: Governance strategies and sustainability

被引:0
|
作者
Li, Jiaorui [1 ]
Li, Kaiyuan [2 ]
Lin, Zi-Fei [1 ,3 ]
机构
[1] Xian Univ Finance & Econ, China Xian Inst Silk Rd Res, Xian 710100, Peoples R China
[2] Xian Univ Finance & Econ, Sch Stat, Xian 710100, Peoples R China
[3] Xian Univ Finance & Econ, Sch Math, Xian 710100, Peoples R China
基金
中国国家自然科学基金;
关键词
POLLUTION; MODEL;
D O I
10.1063/5.0229974
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In recent years, the environmental problem caused by economic development has been an important issue all over the world. The traditional analysis of environmental pollution often relies on the endogenous growth model, where environmental pollution is treated as a factor that influences capital and population. In this paper, we develop a nonlinear model that integrates economic growth, technological progress, resource consumption, and environmental pollution to explore the dynamic mechanisms of economic growth under environmental constraints. We first prove the non-negativity of the model's solutions, followed by establishing their boundedness using a Lyapunov function. Additionally, we investigate, for the first time, the tipping point of a key parameter within the model related to environmental pollution, demonstrating that neglecting environmental pollution renders economic growth unsustainable and can lead to collapse. The study also examines two distinct types of environmental governance aimed at controlling pollution, computing the tipping points associated with economic growth under each governance strategy. Our findings highlight the critical role of green production methods in sustaining economic growth. Finally, we analyze how initial conditions and random disturbances affect the steady-state of economic growth, revealing that initial levels of capital and technological skill can determine the system's steady-state, while stochastic shocks can alter tipping points and push the system away from stability. (c) 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:17
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