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PM2.5 Pollution and Inhibitory Effects on Industry Development: A Bidirectional Correlation Effect Mechanism
Jibo Chen1, Keyao Chen2, Guizhi Wang3
1School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China. chenjibo@nuist.edu.cn.
Beijing
Area of Science:
- Environmental Science
- Economics
- Urban Planning
Background:
- Air pollution, specifically PM2.5, is a significant environmental concern in urban areas.
- Industrial development is a key driver of economic growth but can contribute to pollution.
- Understanding the complex relationship between industry and pollution is crucial for sustainable urban development.
Purpose of the Study:
- To analyze the two-way relationship between PM2.5 pollution and industrial development in Beijing.
- To quantify the impact of primary, secondary, and tertiary industries on PM2.5 levels.
- To identify which industrial sectors have the most significant effect on pollution reduction.
Main Methods:
- Vector Autoregression (VAR) model.
- Impulse Response Function (IRF).
- Variance Decomposition Analysis.
Main Results:
- A long-term equilibrium interconnection exists between PM2.5 pollution and all three industry types.
- Primary and secondary industries increase PM2.5 emissions, while the tertiary industry has an inhibitory effect.
- PM2.5 pollution inhibits primary and secondary industries, with a less significant effect on the tertiary industry.
Conclusions:
- The tertiary industry shows the greatest potential for reducing PM2.5 pollution.
- Targeted policies promoting tertiary industry development can aid in pollution control.
- Findings offer insights for developing effective pollution prevention strategies in Beijing.
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