Analysis On Productive Efficiency Of Regional Medical Service: Based On Chance Constrained Dea Model

As the premise of improving efficiency of medical service,utilizing medical resource adequately,and carrying out optimal social and economic benefit,how to evaluate and analysis efficiency of medical service scientific need be solved above all. There are many ways for evaluating efficiency at present,for example, rate-analysis,order sum-rate,integrate index and DEA. Thereinto,DEA which put forward by A.Charnes,Cooper and Rhodes in 1970s is considered as one successful method. However,in practical,input and output are difficult to be made certain because of some stochastic factors such as measure err and data noise. Economy phenomena and rule generally are stochastic and represent to submit to some given stochastic distributing.So compared with traditional DEA model, chance constrained DEA model is more practical.In this paper,we use chance constrained DEA model to evaluate medical service efficiency of china. We select health offer per capita,sickbeds per capita,capital asserts per capita and operation payout per capita as intout index,and select diagnosis and treat degree per capita,numble of person leave hospital per capita and operation earning per capita as output index.Our object is medical service of 31 provinces of China in 2006 and 2007.We analysis their efficiency and try to find how they change.Compared with formerly analysis,this paper evaluate efficiency from aera and year simultaneity.In other words, both are in one evaluate system so that we not only discover the difference in aera,but also in different year.Compare 2007 with 2006,we find there are 13 provinces both stochastic efficiency two years, efficiency of 12 provinces rise and only 6 provinces fall.Then evaluate 2006 separate,we find 54.8% aera of china are stochastic efficiency which show medical industry operate not bad in china.For the aera stochastic unefficiency,we compare projection of production foreland with true data in 2007 to find possibility of achieving the object which is also the true data.This paper use two way to compare.one suppose input are unchangeable and other consider input change by some scale every year(the scale keep consistent with the rate of this year compared with last year). For the first way,we find most aera have achieved the object in 2007. In other words the aera which stochastic unefficiency in 2006 change to efficiency in 2007.However,there are also some aera which are in a poor way and both four output indexs have not achieved the object,for example,Hainan and Heilongjiang. For the second,we find the circs of achieving object for every index are not good,and just few aera and few index have accomplished,for example,tianjin,shanxi and hebei's diagnosis and treat degree per capita,neimenggu,zhejiang,anhui,fujian and jiangxi's numble of person leave hospital per capita.