基于三阶段DEA模型的农业碳排放效率研究——以安徽省为例

A Study on the Efficiency of Agricultural Carbon Emission Based on the Three Stage DEA Mode——Taking Anhui Province as an Example

深入研究农业碳排放,以促进经济与生态环境的和谐发展,推动农业的可持续发展。以安徽省16个地级市为研究样本,运用三阶段数据包络分析DEA方法,测度农业碳排放绩效。安徽省农业碳排放绩效存在显著的地域差异。影响安徽省大部分地市农业碳排放绩效提升的主要制约因素是农业碳排放规模效率相对较低;而从区域看,皖中地区历年农业碳排放综合技术效率最高,其次是皖北地区,皖南地区最低,呈现出"中>北>南"的格局。

The in-depth study of agricultural carbon emissions was of great significance to the realization of the harmonious development of the economy and the ecological environment and the sustainable development of agriculture.Taking 16 prefecture level cities in Anhui were taken as the research sample,and the three stage data envelopment analysis(DEA)method was applied to measure the performance of agricultural carbon emissions.There are significant regional differences in the performance of agricultural carbon emissions in Anhui province.The main restrictive factor that affected the improvement of agricultural carbon emissions in the most cities of Anhui was that the efficiency of agricultural carbon emissions is relatively low.From the region,the comprehensive technical efficiency in the central region of Anhui was the highest,followed by the northern Anhui,the lowest in southern Anhui,presenting“Middle>North>South”pattern.