Analysis Of Influential Factors Of Guarantee Enterprises’ Operational Efficiencies In Beijing

At present, the SMES face financing problems, developing guarantee enterprisesis an important approach to solve them. In order to improve the whole enterprises’efficiencies effectively, it is necessary to explore influential factors of efficiencies, interms of direction, degree and path. Based on them, the article takes qualifiedguarantee companies in Beijing as samples, covering the status quo and problems interms of the internal governance, business outline, risk control and revenues benefits.Based on selected samples, the paper uses the DEA model to calculate theirefficiencies, pointing out the current statement and the cause of their low operationalefficiencies. Based on the camel rating method, the paper conducts the selectedvariables regression analysis. Taking weighted least squares methods etc. to eliminatetested heteroscedasticity regression and linear correlation, the paper gets theregression results: first, the ownership, magnification, fees rate and main businessprofit percent are positive factors to improve the input-output efficiencies.Second, theassets liquidity and the number of customers increases pure technical and scaleefficiencies respectively; compensatory appears along with the increasing scaleefficiencies. Finally, Across-regional operation reduces scale and comprehensiveefficiencies, and the increasing number of branches lowers pure technical efficiencies.Influential factors of DEA super efficiency exhibits a number of differences: first ofall, unlike input-output efficiency, staff education degree, risk reservation, the numberof paid-in capital and retained earnings affects the efficiencies. Secondly, in contrastto the input-output efficiency, the increasing number of guarantee rate, magnification,and guarantee customers reduces super-efficiencies. Finally, similar to theinput-output efficiency, super-DEA efficiencies of state-owned guarantee companiesare significantly higher than that of private companies. Combined with theconclusions above, the paper puts forward recommendations.