基于二阶段DEA-SFA模型的科学数据平台资源提供者服务效率研究 ——以国家生态科学数据中心为例

Research on Service Efficiency of Resource Provider of Scientific Data Platform based on Two-stage DEA-SFA Model——A Case Study of the NESDC

摘要:

对国家科学数据平台开展服务绩效评价是衡量其发展质量的一个重要指标，效率测算是进行绩效评价的重要依据。将国家生态科学数据中心资源提供者的服务过程分成前后相关联的两个阶段：资源服务阶段和知识转化阶段。从投入产出要素的使用效率、科学资源的利用程度和用户感知的服务质量三个维度构建指标体系，利用二阶段DEA-SFA模型对43个资源提供者进行服务效率测算，并运用超效率模型对有效DMU做进一步区分和排名。结果发现：国家生态科学数据中心资源提供者在资源服务和知识转化阶段平均纯技术效率值分别为0.794和0.838，DEA有效站点数分别为12个和16个。43个决策单元中，优秀资源提供者约占16％，一般资源提供者约占70％，较差资源提供者约占14％。另外资源提供者的服务效率和地区经济发展水平具有一定关联性，东部地区要好于中西部地区。最后基于研究结果，提出推动我国国家科学数据平台发展建设的对策建议。

Abstract:

The service performance evaluation of national scientific data platform is an important index to measure its development quality, and the efficiency measurement is an important basis for performance evaluation. The service process of resource provider of national ecological science data center is divided into two related stages: resource service stage and knowledge transformation stage. The index system was 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 was used to measure the service efficiency of 43 resource providers, and the super-efficiency model was used to further distinguish and rank effective DMU.The results showed that the average pure technical efficiency values of resource providers in the resource service and knowledge transformation stage were 0.794 and 0.838, respectively, and the number of DEA effective sites were 12 and 16, respectively. Among the 43 decision units, excellent resource providers accounted for about 16%, general resource providers accounted for about 70% and poor resource providers accounted for about 14%. In addition, the service efficiency of resource providers has a certain correlation with the level of regional economic development, and the eastern region is better than the central and western region.Finally, based on the research results, this paper puts forward some countermeasures to promote the development and construction of China"s national scientific data platform.