Research On The Method Of Enterprise Efficiency Evaluation Based On Jointment Of Bargaining Game And DEA

Scientific efficiency evaluation is the key premise for enterprises to improve efficiency.It is of great practical significance to provide a scientific efficiency evaluation method for enterprises.Therefore,based on Data Envelopment Analysis(DEA)and bargaining game theory,a more scientific and reasonable bargaining game-DEA enterprise efficiency evaluation method is proposed in this paper by consulting and analyzing existing relevant literature.There are a series of complex processes in the production activities of enterprises,so it is necessary to consider multi-index efficiency evaluation method.Among many efficiency evaluation methods,DEA is a method that can be used to evaluate the relative effectiveness of homogeneous decision making units(DMUs)with multiple inputs and outputs,which makes DEA widely used in enterprise efficiency evaluation methods.At the same time,traditional DEA has the problem of self-interest,that is,DMUs choos the weight freely,which leads to the evaluation results cannot be accepted by the decision making unit.DEA can solve this problem by solving the common set of weights(CSW).Among the numerous methods of solving CSW by DEA,the advantage of the enterprise efficiency evaluation method based on bargaining game-DEA solving CSW is that the two sides of the game continue to bargain,and CSW obtained is the Nash equilibrium solution,and the evaluation result is easy to be accepted by DMUs.In this paper,literature research method,bargaining game theory method,DEA and mathematical simulation method are used to study the advantages and disadvantages of bargaining game-DEA enterprise efficiency evaluation method,put forward an improved bargaining game-DEA enterprise efficiency evaluation method model,and verified the scientific nature of the method with an example.In view of the two problems still existing in the existing bargaining game-DEA,this paper provides corresponding solutions:(1)Aiming at the problem that the efficiency range of decision making unit in the model is not accurate,this paper determines a more reasonable and accurate efficiency range of decision making unit.Through the research literature,it is found that using Nash bargaining game-DEA to solve CSW is to find a Nash bargaining efficiency value between the maximum efficiency and the minimum efficiency of the decision making unit to achieve an equilibrium solution,so that the evaluation results are accepted by the decision making unit.Inaccurate efficiency range will make the desired common weight unscientific.Therefore,the efficiency value of CCR-DEA is used as the upper bound to represent the most favorable state of DMU.The minimum crossover efficiency value is the lower bound and represents the most unfavorable state of DMU.(2)In view of the problem that the objective function of the model does not reflect the difference in bargaining power of decision-making units,this paper adds a discount factor into the objective function of the model to reflect the difference in bargaining power of each decision-making unit.Through research literature,it is found that many scholars adopt four axiomatic assumptions when using Nash bargaining game model,one of which assumes that the bargaining power of players is the same.However,in reality,different weight vectors of DMUs represent different strength of DMUs,so each decision making unit has different bargaining power.This paper does not consider the assumption that the two sides of the game have the same bargaining power,and adds a discount factor into the objective function of the model to reflect the difference of bargaining power of each decision-making unit.It is proved that the method proposed in this paper is feasible and scientific.