This study takes the agricultural resource utilization efficiency of Gansu Province and its cities(prefectures)during 2008-2017 as the research object,evaluates the efficiency by using data envelopment analysis(DEA),mathematical statistics and literature research methods,selects 10 input indicators and 3 output indicators of agricultural production,and then calculates the comprehensive efficiency,technical efficiency and scale efficiency ofagricultural resources utilization in Gansu from 2008 to 2017,the redundancy of the input was analyzed by combining with the redundancy value,and projection analysis was applied to improve the input and allocation of agricultural resources.For the temporal characteristics of agricultural resource utilization efficiency in Gansu,the results show that the utilization efficiency is relatively low and fluctuates over time while gradually stabilizing,the comprehensive efficiency increased from 0.857 to 1,with values that were not 1 in 2008,2009,2010,2011,2012 and 2015,showing a relatively ineffective utilization state,and the utilization efficiency had a hysteresis effecton the implementation of policies.Meanwhile,the spatial distribution characteristics indicate large regional differences in utilization efficiency among the cities and prefectures,all of the cities can be divided into four categoriesaccording to their different comprehensive efficiency levels:the best(1.00),the second best(0.98-1.00),the lower(0.90-0.98)and the lowest(<0.90),and the corresponding characteristic agricultural development regions weredivided based on their actual situations;the redundancy of agricultural input factors still exists,especially in ecological factors such as climatic resources,agricultural fertilizer usage and agriculture practitioners;while the technical efficiency had obvious restrictions on the comprehensive efficiency.In summary,the input-output efficiency ofagricultural resources in Gansu is relatively low overall,the unbalanced regional development of utilization efficiency is obviou
LIU XiaoyuLIU XueluSamuel ADINGOYU JieruLI Xiaodan
