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China's agricultural GHG emission efficiency: regional disparity and spatial dynamic evolution
Quande Qin1,2, Huimin Yan1, Jie Liu1
1College of Management, Shenzhen University, Shenzhen, 518060, China.
Environmental Geochemistry and Health
|October 30, 2020
Summary
China's agricultural greenhouse gas (GHG) emission efficiency steadily improved from 2000-2015. Regional disparities in GHG efficiency are significant, primarily driven by differences between groups, highlighting the need for targeted sustainable development policies.
Area of Science:
- Agricultural Economics
- Environmental Science
- Climate Change Studies
Background:
- Addressing climate change requires enhancing agricultural greenhouse gas (GHG) emission efficiency in China.
- Ecological and ethical considerations are paramount in mitigating climate change impacts.
Purpose of the Study:
- To evaluate agricultural GHG emission efficiency in China from 2000-2015.
- To analyze regional disparities and spatial dynamics of agricultural GHG emission efficiency.
- To provide policy implications for sustainable agricultural development.
Main Methods:
- Global slacks-based inefficiency model for efficiency evaluation.
- Dagum Gini coefficient for analyzing regional disparity.
- Spatial Markov chain technique for investigating spatial dynamic evolution.
Main Results:
- Agricultural GHG emission efficiency in China increased steadily between 2000 and 2015.
- Significant regional disparities in efficiency exist, with between-group disparity being the primary driver.
- Disparities between regions are increasing, while within-region disparities remain stable.
- A notable spatial dependence in agricultural GHG emission efficiency was observed.
Conclusions:
- China's agricultural sector shows progress in GHG emission efficiency, but regional inequalities persist.
- Understanding the spatial dynamics and sources of disparity is crucial for effective policy interventions.
- The findings support targeted strategies for sustainable agricultural development and climate change mitigation.
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