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Assessing the Relationship among Land Transfer, Fertilizer Usage, and PM2.5 Pollution: Evidence from Rural China.

Lili Guo1, Yuting Song1, Mengqian Tang1

  • 1College of Economics, Sichuan Agricultural University, Chengdu 611130, China.

International Journal of Environmental Research and Public Health
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Land transfer in rural China reduces air pollution by decreasing chemical fertilizer use. Increased fertilizer use, however, significantly worsens PM2.5 pollution, highlighting the need for sustainable agricultural practices.

Keywords:
PM2.5 pollutionfertilizer usageland transfer

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Area of Science:

  • Environmental Science
  • Agricultural Economics
  • Pollution Control

Background:

  • Environmental issues are critical for sustainable development.
  • Rural China faces unique environmental challenges impacting agriculture and welfare.
  • Understanding land transfer and fertilizer use impacts on air quality is essential.

Purpose of the Study:

  • To investigate the relationship between land transfer, fertilizer usage, and PM2.5 pollution in rural China (2000-2019).
  • To determine the causal links and quantify the impacts of these variables on air pollution.
  • To provide insights for policy-making on sustainable agricultural development and environmental protection.

Main Methods:

  • Panel data analysis from 2000-2019.
  • Cross-section dependence, unit root, and cointegration tests.
  • Granger causality tests, impulse response, and variance decomposition analysis.

Main Results:

  • Chemical fertilizer usage significantly increases PM2.5 pollution (1% increase leads to 0.17% rise).
  • Land transfer significantly decreases PM2.5 pollution (1% increase leads to ~0.07% decrease).
  • Land transfer mitigates fertilizer use via economies of scale, reducing air pollution.

Conclusions:

  • Land transfer positively influences air quality by reducing chemical fertilizer dependency.
  • Policies promoting land transfer can be effective in controlling PM2.5 pollution in rural agricultural areas.
  • Findings offer a basis for informed decision-making in environmental and agricultural policy.