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How does manufacturing haze pollution decrease in China: a decomposition study of structural model based on general

Luxin Yang1, Yucheng Liu2

  • 1Jiangbei New Area Development Research Institute, School of Business, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing, 210044, Jiangsu Province, China.

Environmental Science and Pollution Research International
|December 14, 2022
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Summary
This summary is machine-generated.

Industrial structure upgrading and environmental regulation are key to reducing China's manufacturing haze pollution. Optimal strategies involve improving productivity through environmental regulation and trade openness for long-term haze reduction.

Keywords:
Haze pollutionPVAR modelSEM modelSpace competition

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Area of Science:

  • Environmental Science
  • Economics
  • Industrial Ecology

Background:

  • China's manufacturing sector faces significant haze pollution challenges.
  • Understanding the drivers of PM2.5 concentration is crucial for effective environmental policy.

Purpose of the Study:

  • To construct a structural model of manufacturing haze pollution in China.
  • To identify and analyze the key factors influencing haze pollution emissions.
  • To examine the direct and indirect impact paths on haze pollution reduction.

Main Methods:

  • Analysis of annual mean PM2.5 concentration data (2006-2020) for 30 Chinese provinces and cities.
  • Construction of a structural model for manufacturing haze pollution.
  • Statistical decomposition of pollution emission factors.
  • Application of the PVAR (Panel Vector Autoregression) model.

Main Results:

  • Industrial structure upgrading, environmental regulation, trade opening, productivity improvement, and economic scale expansion inhibit haze pollution, in decreasing order of effectiveness.
  • Industrial structure adjustment is the primary driver of haze reduction in both short and long terms.
  • Environmental regulation shows short-term effects, while long-term reduction relies on industrial structure, productivity, and trade openness.
  • Trade openness enhances productivity and reduces long-term haze pollution via technology spillovers.
  • Regional disparities in environmental regulation policies ('race to the bottom' in central, 'race to the top' in eastern China) impact productivity and industrial structure optimization.

Conclusions:

  • Effective haze control necessitates appropriate environmental regulation intensity to reduce high-pollution industries.
  • Leveraging international platforms like the Belt and Road Initiative and pilot free trade zones can foster cooperation in environmental technology and clean production.
  • Investing in R&D for clean equipment and technologies is vital for improving productivity and advancing green manufacturing in China.