Library and Information Service >
Calculation and Analysis of the Influencing Factor on Public Libraries' Efficiency at the Provincial Level in China: An Empirical Study Based on the Super-SBM and TOBIT Model Method
Received date: 2015-10-21
Revised date: 2015-11-05
Online published: 2015-11-20
[Purpose/significance] In recent years, the role of public libraries is increasingly significant, therefore the efficiency and its influencing factors should be evaluated and analyzed, and it is good for the public libraries to use and collocate resources reasonably.[Method/process] Using Super-SBM method, the paper measures the efficiency of 30 regional public libraries in China and according to the measure results for sorting and classification. Using Tobit model, the paper analyzes the internal and external influencing factors of public libraries' efficiency. The external influencing factors include per capita disposable income, the scale of population, urban population density and local residents' educational degree. The internal influencing factors include funding, new inventory purchase expense, professional and technical personnel, active, library electronic degree and public library area.[Result/conclusion] Through the efficiency evaluation, the public libraries in our country are divided into four categories. Through the regression analysis, it finds that there are several problems in public library such as fund wasting, improper staffing and poor quality of library activities.
Key words： public library; data envelopment analysis; efficiency; influencing factor
Chu Jiewang , Chu Yili . Calculation and Analysis of the Influencing Factor on Public Libraries' Efficiency at the Provincial Level in China: An Empirical Study Based on the Super-SBM and TOBIT Model Method[J]. Library and Information Service, 2015 , 59(22) : 33 -38,55 . DOI: 10.13266/j.issn.0252-3116.2015.22.005
[1] 陈英, 洪源. 考虑环境因素的我国省域公共图书馆效率测度及优化治理——基于三阶段 DEA 方法[J]. 图书馆学研究, 2015(11):17-25.
[2] Vitaliano D F. Assessing public library efficiency using data envelopment analysis[J]. Annals of Public and Cooperative Economics, 1998, 69(1): 107-122.
[3] Reichmann G,Sommersguter-Reichmann M. University library benchmarking: An international comparison using DEA[J]. International Journal of Production Economics, 2006, 100(1): 131-147.
[4] Sharma K R, Leung P, Zane L. Performance measurement of Hawaii State public libraries:An application of data envelopment analysis (DEA)[J]. Agricultural and Resource Economics Review, 1999(10): 190-198.
[5] 白首晏. DEA方法在高校图书馆效率评价中的应用[J]. 情报杂志,2002(6):16-17.
[6] 李建霞. 省域公共图书馆绩效的DEA测算与评价[J]. 图书馆论坛, 2008, 28(4):49-52.
[7] 郭军华. 区域公共图书馆效率测度及环境影响因素分析——基于DEA-Tobit 两步法的实证研究[J]. 图书情报工作, 2010,54(13): 87-90.
[8] 赵燕芳. 基于超效率 DEA 与 TOBIT 模型的上海市区级公共图书馆效率评价研究[D].上海:华东师范大学, 2011.
[9] 王惠. 我国公共图书馆静态和动态效率测评分析[J]. 图书馆论坛, 2015, 35(1): 30-36.
[10] Charnes A, Cooper W W, Rhodes E. A data envelopment analysis approach to evaluation of the program follow through experiment in US public school education[R].Pittsburgh:Carnegie-Mellon University,School of Urban and Public Affairs, 1978.
[11] Banker R D, Charnes A, Cooper W W. Some models for estimating technical and scale inefficiencies in data envelopment analysis[J]. Management Science, 1984, 30(9): 1078-1092.
[12] Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001, 130(3): 498-509.
[13] Tone K. A slacks-based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2002,143(1): 32-41.
[14] Coelli T J, Rao D S P, O'Donnell C J, et al. An introduction to efficiency and productivity analysis[M].Queensland: Springer Science & Business Media, 2005.
[15] 康继军, 张宗益, 傅蕴英. 中国经济转型与增长[J].管理世界, 2007(1) : 7-17.
[16] 史建农. 图书馆配市场的演变、特点及出版社的对策[J]. 编辑之友, 2010 (8): 52-54.
[17] 黄俊. 欠发达地区与发达地区公共图书馆事业发展比较研究——以江西、贵州、甘肃和江苏、浙江、广东为例[J]. 图书馆, 2015 (6): 64-70.
[18] 万莉, 程慧平. 我国省域公共图书馆效率测算及影响因素研究[J]. 图书馆论坛, 2014, 34(2): 15-21.
/
| 〈 |
|
〉 |
