| 农业碳排放效率的再测度、时空特征及收敛性 |
| 摘要点击 700 全文点击 18 投稿时间：2025-07-15 修订日期：2025-09-11 |
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| 中文关键词 农业碳排放效率 区域差异 动态演进 收敛性 三阶段超效率SBM-DEA模型 |
| 英文关键词 agricultural carbon emission efficiency regional differences dynamic evolution convergence three-stage super-efficiency SBM-DEA model |
| DOI 10.13227/j.hjkx.202507199 |
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| 中文摘要 |
| 农业碳排放效率是衡量农业低碳发展的关键指标，准确测度农业碳排放效率并探讨其时空演变规律有助于各地区因地制宜探索低碳农业发展路径. 运用三阶段超效率SBM-DEA模型测度2012~2023年中国30省的农业碳排放效率，借助Dagum 基尼系数分解法和核密度估计分别探究农业碳排放效率的区域差异和动态演进，并通过收敛模型进行收敛性分析. 结果发现：①外部环境因素对中国农业碳排放效率具有显著的影响，剔除外部环境和随机误差影响后中国农业碳排放效率均值由初始阶段的0.673降低到0.653. ②中国农业碳排放效率存在明显的区域差异，区域间差异是总体差异的主要来源；全国及四大区域农业碳排放效率的核密度曲线均呈右移趋势，全国及东中西部地区核密度曲线呈多极化演进，东北地区多极与两极交替出现. ③全国及东北、西部地区农业碳排放效率表现出明显的σ收敛，东部与中部地区未实现σ收敛；全国及四大区域农业碳排放效率均实现绝对β收敛和条件β收敛，但收敛速度存在差异，中部地区最快，东北地区最慢. 各地区不仅要因地制宜探索农业碳排放效率提升路径，区域间也要构建合作发展机制，促进全国农业碳排放效率协同提升. |
| 英文摘要 |
| Agricultural carbon emission efficiency serves as a crucial indicator for evaluating low-carbon agricultural development. Accurately measuring the agricultural carbon emission efficiency and investigating its spatio-temporal evolution patterns can facilitate region-specific pathways for low-carbon agriculture development. The agricultural carbon emission efficiency was remeasured in China's 30 provinces （2012-2023） using the three-stage super-efficiency SBM-DEA model. The regional differences and dynamic evolution of the agricultural carbon emission efficiency were investigated by using the Dagum Gini coefficient and kernel density estimation， while its convergence was analyzed using the convergence model. The results show that： ① External environmental factors exerted significant effects on China's agricultural carbon emission efficiency. The mean agricultural carbon emission efficiency in China decreased from the initial 0.673 to 0.653 after eliminating the effects of external environmental factors and random errors. ② Significant regional differences were observed in China's agricultural carbon emission efficiency， with inter-regional differences accounting for the majority of the total differences. The kernel density curves of the agricultural carbon emission efficiency exhibited rightward shifts at both the national level and in four major regions. The kernel density curves exhibited multi-polar evolution patterns at the national level as well as in the eastern， central， and western regions， while showing alternating multi-polar and bipolar distributions in the northeastern region. ③ The σ-convergence was observed in the agricultural carbon emission efficiency at the national level as well as in the northeastern and western regions， whereas the agricultural carbon emission efficiency failed to achieve σ-convergence in the eastern and central regions. The agricultural carbon emission efficiency exhibited both absolute β-convergence and conditional β-convergence at both the national level and in four major regions； however， there were differences in the convergence speed， with the fastest in the central region and the slowest in the northeastern region. All regions should not only develop localized pathways to improve the agricultural carbon emission efficiency but also establish inter-regional cooperative mechanisms to promote the synergistic improvement in the agricultural carbon emission efficiency at the national level. |
