基于两阶段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:Taking the National Ecological Science Data Center as an Example

作　　者：严素梅[1] 王庆 陈荣[1] 李建霞[1] Yan Sumei;Wang Qing;Chen Rong;Li Jianxia(Institute of Science and Technology Information,East China University of Science and Technology,Shanghai 200237,China)

机构地区：[1]华东理工大学科技信息研究所,上海200237

出　　处：《科技管理研究》2024年第17期77-84,共8页Science and Technology Management Research

摘　　要：服务绩效评价是衡量国家科学数据平台发展质量的重要指标,效率测算为其提供重要依据。将国家生态科学数据中心资源提供者的服务过程分为资源服务和知识转化前后相关联的两个阶段,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3个维度构建指标体系,利用两阶段数据包络分析-随机前沿方法(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。结果表明: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;在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,东部地区表现优于中西部地区。基于上述研究结果,进而提出推动我国国家科学数据平台发展建设的相关对策建议。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.

关 键 词：科学数据平台 效率测算 绩效评价 两阶段DEA模型 SFA模型 超效率模型 

分 类 号：G203[文化科学—传播学] F272.5[经济管理—企业管理] G644[经济管理—国民经济]