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Predicting the implementation effect of the municipal solid waste mandatory classification policy based on the
Yanxin Li1, Zhujie Chu2,3, Hongda Zhang4
1School of Marxism, Tongji University , Shanghai, People's Republic of China.
Journal of the Air & Waste Management Association (1995)
|July 29, 2020
Summary
China's mandatory municipal solid waste (MSW) policy effectively increases resident waste classification behavior over time. Higher enforcement intensity and larger urban populations lead to greater participation in waste sorting.
Area of Science:
- Environmental Science
- Urban Planning
- Behavioral Economics
Background:
- Rapid economic development in China has significantly increased municipal solid waste (MSW) generation.
- A mandatory MSW classification policy has been implemented, but its effectiveness requires extensive study.
- Understanding resident waste classification behavior is crucial for policy evaluation.
Purpose of the Study:
- To explore the implementation effect of China's mandatory MSW classification policy.
- To assess the impact of policy enforcement intensity and urban population size on resident waste classification behavior.
Main Methods:
- Utilized the Cellular Automata (CA) model to simulate resident waste classification behavior.
- Analyzed behavioral adjustments in response to the introduction and varying intensities of the mandatory policy.
- Examined the influence of different urban population sizes on classification participation.
Main Results:
- Resident waste classification behavior remains unchanged without the mandatory policy.
- Behavioral adjustments towards waste classification occur between time steps t=100 and t=300 after policy implementation.
- Increased enforcement intensity accelerates improvements in waste classification behavior.
- Larger urban populations exhibit higher proportions of participation in waste classification.
Conclusions:
- The mandatory MSW classification policy is effective in modifying resident behavior.
- Policy success is contingent on enforcement intensity and urban population dynamics.
- Findings provide valuable insights for optimizing waste management strategies in rapidly urbanizing economies.
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