基于DEA模型的我国各省(市、区)竞技体育后备人才培养效益研究
Cultivation Efficiency of the Reserved Talents of the Different Provinces Based on DEA Mode
投稿时间:2017-11-04  
DOI:
中文关键词:竞技体育后备人才  培养效益  DEA模型
英文关键词:reserved talents of competitive sports  cultivation efficiency  DEA model
基金项目:国家体育总局科教司重点研究领域课题(2014B068)
作者单位E-mail
游国鹏 长治医学院 公共体育教学部 wangdexing@sus.edu.cn 
张春合 湖北师范大学 体育学院  
吴阳 上海体育学院 体育教育训练学院  
王德新 上海体育学院 体育教育训练学院  
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中文摘要:
      目的:评价2012年我国各省(市、区)竞技体育后备人才培养效益,为决策部门制定“十三五”期间竞技体育后备人才培养工作发展战略提供参考依据。方法:运用数据包络分析(Data Envelopment Analysis,DEA)方法中的CCR和BCC模型分析2012年我国31个省(市、区)竞技体育后备人才培养的投入和产出。结果:(1)各省(市、区)竞技体育后备人才培养效益差异较大,全国综合效率均值为0.534,仅4个省(市、区)达到DEA有效,东、中、西部依次存在“较高投入、较高效率、较高产出”的局面;(2)影响各省(市、区)综合效率的因素各不相同,投入冗余率均值和产出不足率均值均高于20%(奥运项目数除外),培养机构数量和竞技体育后备人才数量需调整幅度最大;(3)各省(市、区)纯技术效率均值(0.608)小于规模效益均值(0.892),规模收益变化趋势各异。结论:(1)我国各省(市、区)竞技体育后备人才培养效益偏低且差异明显,存在区域间不均衡;(2)各省(市、区)DEA非有效因素各有不同,资源管理水平是影响培养效益的主要因素;(3)指标选取是建立竞技体育后备人才培养效益评价体系的关键。建议:尽快建立制度化、常态化的多要素培养效益评价机制,以调整培养机构数量和后备人才数量为突破口,提高竞技体育后备人才培养效益。
英文摘要:
      Objective: To evaluate the cultivation efficiency of the reserved talents of the different provinces in 2012 so as to provide reference for the development strategy of the 13th Five-year Plan. Method: 31 provinces of China were involved in the current research. CCR and BCC models of DEA were used to analyze the input and output of the reserved talent cultivation in 2012. Result: 1) There is a large difference between the cultivation efficiency of the reserved talents of the 31 provinces of China. The average value of the national comprehensive efficiency is only 0.534. Only the values of four provinces are effective according to DEA. The input, efficiency and output of East China is the highest. Those of the middle part are lower, and those of West China are the lowest; 2) The influencing factors of the comprehensive efficiency of the different provinces are different. The average value of the input redundancy and the average value of the insufficiency of output are higher than 20%(except the value of the Olympic events). The quantity of the training institutions and the reserved talents need to be readjusted to a large extent; 3)The average value of the pure technical efficiency (0.608) is lower than that of the scale efficiency (0.892). The change tendency of the scale efficiency of the provinces is different. Conclusion: 1) The cultivation efficiency of the reserved talents is generally low and is unbalanced in the different parts of China; 2) The DEA non-effective factors of the different provinces are different. The lower resource management level is the main factor affecting the cultivation efficiency; 3) The selection of the indicators is the key for establishing an evaluation system of the cultivation efficiency of the reserved talents. Advice: Establishing sooner a systematic and normalized multi-factor cultivation efficiency evaluation system in order to improve the cultivation efficiency of the reserved talents with the breakthrough of readjusting the quantity of the cultivation institutions and reserved talents.
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