Study On The Efficiency Evolution And Spatial Differentiation Of County Economy In Gansu Province From The Perspective Of Benchmarking Management

County government,and the world security.County economy is the foundation of the national economy,it plays a connecting role in the administrative system in our country.County economy is not only an important carrier for enriching the people,strengthening the county,getting rid of poverty and becoming rich,but also the key to coordinating urban and rural development and coordinating regional economy.Only by solving the problems of County Economy Development,can we effectively improve the current situation of rural poverty,can we provide market and economic development hinterland for urban construction.Previous studies were either focused on the macroscopic description of the situation of county economy,or on the trend analysis of spatial evolution,both of them are biased.Generally speaking,it has little significance for the economic development of Gansu Province and other western counties.From the perspective of benchmarking theory,the economic efficiency evolution and spatial differentiation characteristics of 76 counties in Gansu Province were studied in 2012—2016.Firstly,the PCA-SE_DEA-Malmquist combination model is selected to measure the super-efficiency DEA value and total factor productivity index in Gansu during the observation period.Then use cluster analysis method to distinguish each county economy.Among them,all county areas are classified into the ? to ? grade according to the super-efficiency DEA and also divided into rapid growth type,stable type,rising type and development type according to the total factor productivity index.Secondly,descriptive statistical method was used to visualize the classification results with Arcgis software.From these perspectives of the economic efficiency of county level,total factor productivity of county economy and the comprehensive consideration of them,we can establish learning benchmarks for ineffective county units in Gansu Province.Finally,the space is combined at the same time and ESDA is selected to analyze the spatial correlation of the super-efficiency DEA during the observation period.The aim is to have a deeper and more intuitive understanding of the evolutionary trends and spatial differentiation and to provide reliable support for benchmarking process.Through the study found that: the level of county economic efficiency in Gansu Province is relatively high.Generally speaking,the spatial distribution pattern is "west high and east low ".Among them,Hexi area is the ? and ? grade county agglomeration region with the highest level of economic efficiency.Longdong area is the ? and ? grade county agglomeration region with the lowest level;The total factor productivity of county economy in Gansu Province showed a "W" fluctuation during the observation period.On the whole,it's a positive growth trend.The development type is the main part of Hexi area with the lowest Malmquist index.The rapid type is the main part of Longdong area with the highest Malmquist index;There is a significant spatial positive correlation in county economic efficiency.H-H type and L-L type occupy the most of 76 counties.It shows that the county economic efficiency of Gansu province has formed a distinct polarization distribution structure.The hot spots are mainly concentrated in Longzhong area and Longdong area.The blind spots are mainly concentrated in Longnan area;As for benchmarking theory,two sets of learning benchmarking poles based on super-efficiency DEA and total factor productivity index are re-selected according to the three principles of similar geographical proximity,the same type and the same level.They provide practical guidelines for improving inefficient county units to "double high-high quality and high efficiency" counties.