Research on Service Efficiency of Resource Provider of Scientific Data Platform Based on Two-Stage DEA-SFA Model:Taking the National Ecological Science Data Center as an Example
Service performance evaluation is an important index to measure the development quality of national scientific data platform,and efficiency measurement provides an important basis for it.The service process of resource provider of NESDC is divided into two stages related to resource service and knowledge transformation.The index system is constructed from three dimensions:the use efficiency of input-output factors,the utilization degree of scientific resources,and the service quality perceived by users.The two-stage DEA-SFA model is used to measure the service efficiency of 43 resource providers,and the super-efficiency model is used to further distinguish and rank effective DMU.The results show that the average pure technical efficiency values of resource providers in the resource service and knowledge transformation stage are 0.794 and 0.838 respectively,and the number of DEA effective sites is 12 and 16 respectively.Among the 43 DMUs,excellent resource providers accounts for about 16％,general resource providers for about 70％,and poor resource providers for about 14％.In addition,the service efficiency of resource providers has a certain correlation with the level of regional economic development,and the performance of eastern regions is better than that of central and western regions.Based on the above research results,the relevant countermeasures and suggestions to promote the development and construction of China's national scientific data platform are put forward.
scientific data platformefficiency measurementperformance evaluationtwo-stage DEA modelSFA modelsuper efficiency model
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