September 16, 2025SustainabilityOpen Access

Development Dynamics and Influencing Factors of China’s Agricultural Green Ecological Efficiency Based on an Evaluation Model Incorporating Ecosystem Service Value and Carbon Emissions

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Authors

YWYu‐Xuan WangBoston College ZTZe Tian XJXiaodong Jing

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Implication

Analysis highlights spatial disparities and improvement paths for agricultural green ecological efficiency using ecosystem service value and carbon emissions.

Key Points

AGREE showed steady improvement with a mean value of 0.576, indicating a solid growth trend.
Green total factor productivity exceeded 1, driven mainly by technological advancements across regions.
The study utilized the Malmquist Index and Spatial Durbin Model to evaluate efficiency dynamics and influencing factors.
Rural income and adequate irrigation positively influenced agricultural green ecological efficiency, supporting sustainable practices.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68d4262e713b0b5dfea6bfb4 https://doi.org/10.3390/su17188253

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Implication

Analysis highlights spatial disparities and improvement paths for agricultural green ecological efficiency using ecosystem service value and carbon emissions.

Development Dynamics and Influencing Factors of China’s Agricultural Green Ecological Efficiency Based on an Evaluation Model Incorporating Ecosystem Service Value and Carbon Emissions

Discussion

Member takes

Implication

Key Points

Cite This Study

Development Dynamics and Influencing Factors of China’s Agricultural Green Ecological Efficiency Based on an Evaluation Model Incorporating Ecosystem Service Value and Carbon Emissions

Discussion

Member takes

Implication

Key Points

Cite This Study

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