Wave convergence principles of agricultural carbon emission efficiency: a multi-level urban agglomeration study
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View abstract on PubMed
Summary
This summary is machine-generated.Agricultural carbon emission efficiency shows a downward trend, but joint intensity increases in a wave-like pattern. This study analyzes convergence patterns in Chinese urban agglomerations for sustainable development.
Area Of Science
- Environmental Science
- Agricultural Economics
- Urban Planning
Background
- Agriculture is a significant contributor to global greenhouse gas emissions.
- Understanding agricultural carbon emission efficiency is crucial for sustainable development.
- Collaborative governance in urban agglomerations impacts carbon emission systems.
Purpose Of The Study
- To quantitatively simulate and validate wave convergence patterns of agricultural carbon emission efficiency.
- To analyze the collaborative governance process between central and surrounding cities in urban agglomerations.
- To achieve stable and sustainable development goals for carbon emission systems.
Main Methods
- Enhanced common frontier dynamic super-efficiency SBM model for evaluating agricultural carbon emission efficiency.
- Dynamic DEA model application.
- Gravity model to measure joint intensity of agricultural carbon emission efficiency.
- Wave-like convergence curve function model for validation.
Main Results
- Agricultural carbon emission efficiency shows a fluctuating downward trend, with regional variations.
- Joint intensity of agricultural carbon emission efficiency exhibits a wave-like increase and threshold effects.
- National urban agglomerations demonstrate superior outcomes compared to other groups.
- Evolutionary curves of agricultural carbon emission efficiency display wave-like convergence.
Conclusions
- Agricultural carbon emission efficiency in Chinese urban agglomerations demonstrates wave-like convergence patterns.
- Urban joint development influences the evolutionary trends of agricultural carbon emission efficiency.
- Findings support the development of sustainable carbon emission systems through collaborative governance.
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