中文摘要：

以系统论视角构建了农业生态效率测算的网络结构,利用网络DEA模型对我国2005—2013年30个省市农业生态系统整体效率及各子系统效率值进行测度,并对其变化趋势进行收敛检验,进而揭示农业生态效率的关键影响因素,探索农业生态效率提升的实施路径。实证结果显示：我国农业生态整体效率处于较低水平,农业生态效率提升潜力巨大;四大区域差异较大,社会和生态系统的低效成为制约东北地区生态效率提高的因素,经济系统的低效是中西部地区效率增长的瓶颈因素。收敛检验结果显示,经济系统的区域差异呈扩大趋势,社会和生态系统差异性较稳定。农业生态效率与机械密度、人均农业GDP呈正相关关系,与农业市场化程度、受灾率、财政支农力度、工业化发展水平呈负相关关系。虚拟变量的引入,验证了农业是受自然和地理因素影响较大的产业,区位选择对农业生态效率产生重要影响。

英文摘要：

From the perspective of system theory,this paper builds a network DEA model to measure China＇s provincial agricultural eco-efficiency during 2005 to 2013. On this basis,this paper also takes a further step to examine the corresponding convergence test on time series and reveals the key influential factors of agricultural eco-efficiency so as to explore the path of improving efficiency. The empirical results show that provincial eco-efficiencies are at a relatively low level. In the meantime regional disparity becomes large. The ecological and social systems are responsible for the relatively low eco-efficiency in northeast China,while the inefficiency in economic system is the bottleneck problem in central and western regions. The corresponding convergence test demonstrates that the economic systems＇ efficiency presents a divergent trend,whereas social and ecological systems＇ efficiency shows a relatively steady state.Eco-efficiency is positively correlated with the density of agricultural machinery and agricultural GDP per capita,while negatively correlated with degree of marketization,disaster rate,fiscal expenditure on agriculture,and the development of industrialization. By using virtual variables,agriculture is acknowledged as one of industries significantly affected by physical geographic factors. Location choice has serious influences on agricultural eco-efficiency.