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Related Experiment Video

Updated: May 18, 2026

Assessing the Particulate Matter Removal Abilities of Tree Leaves
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Published on: October 7, 2018

Modeling pollution control and performance in China's provinces.

Jiuchang Wei1, Ruiyue Jia, Dora Marinova

  • 1School of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei City, Anhui Province 230026, China. weijc@ustc.edu.cn

Journal of Environmental Management
|October 9, 2012
PubMed
Summary

China

Area of Science:

  • Environmental Science
  • Economics
  • Regional Science

Background:

  • China's rapid economic growth has led to significant environmental challenges.
  • Effective pollution control performance (PCP) is crucial for sustainable development.
  • Regional disparities in environmental management exist across China.

Purpose of the Study:

  • To develop a novel evaluation model for pollution control performance (PCP).
  • To assess the PCP of 30 Chinese provinces from 2003 to 2008.
  • To identify key factors influencing China's PCP.

Main Methods:

  • Construction of a PCP evaluation model using the norm of n-dimensional space.
  • Empirical analysis of PCP data for 30 Chinese provinces (2003-2008).
  • Examination of factors affecting pollution control.

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Assessing the Particulate Matter Removal Abilities of Tree Leaves
05:07

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Main Results:

  • China's overall PCP has shown rapid improvement.
  • Significant regional imbalances in PCP were observed, with Eastern China outperforming Central and Western regions.
  • Key influencing factors include industrial structure, industry entry regulations, and investment in pollution abatement and R&D.

Conclusions:

  • Government policies must address regional disparities to enhance national PCP.
  • Strategies for improving PCP include industrial restructuring, stricter industry entry controls, and increased investment in environmental protection and research.
  • The developed model provides a robust framework for evaluating and improving pollution control efforts.