中文摘要：

利用DEA-Malmquist模型考察了我国30个省（市、区）1994-2012年的低碳农业发展水平,在此基础上,运用Kernel密度函数和经济增长收敛理论探讨了其动态演进与收敛性。结果表明：1）我国低碳农业发展水平省域差异明显,北京以绝对优势占据榜首,海南则处在最后一位;从增长源泉来看,农业前沿技术发挥了更为重要的作用,而技术效率改善所起到的作用相对较少。2）我国低碳农业生产率地区差距在样本考察期内缩小趋势较为明显。其中,农业技术效率经历了一个扩大、缩小、扩大的波动起伏过程,最终差距明显扩大;农业前沿技术进步则经历了一个扩大、大幅缩小、缩小的变化过程,最终地区差距明显缩小。3）总体而言,全国及东、中、部地区均不存在显著的σ收敛,但同时却存在显著的绝对β收敛与条件β收敛。

英文摘要：

We investigated the development of low carbon agriculture of China＇ s 31 provinces from 1994 to 2012 by using DEA - Malmquist model, and then discussed its dynamic evolution and convergence by using Kernel density function and the theory of economic growth convergence. The results show that ： （ 1 ） The development of low carbon agriculture in China had obvious differences, Beijing occupied the top with the absolute advantage, while Hainan was in the last place. From the source of growth, agricultural frontier technology had played a more important role; while the technology efficiency improvement was relatively small. （2） The regional disparity of production efficiency of low carbon agriculture presented a relatively obvious narrowing trend. Among them, the technical efficiency of agriculture had gone through a changing process of broadening, narrowing and broadening and finally the regional disparity had obviously broadened while agricultural cutting - edge technology had gone through a changing process of broadening, drastic - narrowing and narrowing and finally the regional disparity had obviously narrowed down. （3） Overall, there is no （r convergence in China and its eastern, central as well as western region, but all existed obviously absolute p convergence and conditional p convergence.