Efficiency evaluation of basic research in China

SummaryFollowing the increasing investment on basic research in China, the outputs of basic research have been greatly enhanced. In this paper, the relative efficiency of investments in basic research is analyzed by adopting statistical regressions and Data Envelopment Analysis (DEA) method. Preliminary results show that injected investment seems to be the main driving force for the increased basic research outputs in China. It is found that there were significant improvements on overall efficiency from 1991 to 1996, although this trend has noticeably slowed down since 1996. Possible causes of this slow-down are discussed.

[1]  Joe Zhu Data Envelopment Analysis with Preference Structure , 1996 .

[2]  Jagdish Arora,et al.  Inside the Frontier Areas of Research in Physics: A Micro Level Analysis , 2004, Scientometrics.

[3]  Henk F. Moed,et al.  Bibliometric Indicators Reflect Publication and Management Strategies , 2000, Scientometrics.

[4]  D. A. King,et al.  The Scientific Impact of Nations: What different countries get for their research spending , 2004 .

[5]  Loet Leydesdorff,et al.  Are the contributions of China and Korea upsetting the world system of science? , 2005, Scientometrics.

[6]  Rolf Färe,et al.  Measuring School District Performance , 1989 .

[7]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[8]  Jill Johnes,et al.  Research Funding and Performance in U.K. University Departments of Economics: A Frontier Analysis. , 1995 .

[9]  Joe Zhu,et al.  Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities , 1998, Eur. J. Oper. Res..

[10]  M. Abbott,et al.  The efficiency of Australian universities: a data envelopment analysis , 2003 .

[11]  N. Avkiran INVESTIGATING TECHNICAL AND SCALE EFFICIENCIES OF AUSTRALIAN UNIVERSITIES THROUGH DATA ENVELOPMENT ANALYSIS , 2001 .

[12]  Benno Müller-Hill,et al.  Quality and efficiency of basic research in molecular biology: a bibliometric analysis of thirteen excellent research institutes , 1995 .

[13]  Emilio Delgado López-Cózar,et al.  The evolution of research activity in Spain , 2003, Research Policy.

[14]  Cláudia S. Sarrico,et al.  Using DEA for planning in UK universities—an institutional perspective , 2000, J. Oper. Res. Soc..

[15]  Wenbin Liu,et al.  Preference, Production and Performance in Data Envelopment Analysis , 2006, Ann. Oper. Res..

[16]  Shawna Grosskopf,et al.  Anticipating the Consequences of School Reform: a New Use of Dea , 1999 .

[17]  Laurie McAulay,et al.  The judge, the model of the judge, and the model of the judged as judge: Analyses of the UK 1992 research assessment exercise data for business and management studies , 1996 .

[18]  S. Bretschneider,et al.  Estimating school efficiency: A comparison of methods using simulated data , 2001 .

[19]  John Ruggiero Nonparametric analysis of educational costs , 1999, Eur. J. Oper. Res..

[20]  Emmanuel Thanassoulis,et al.  Decomposing school and school-type efficiency , 2001, Eur. J. Oper. Res..

[21]  Ronald Rousseau,et al.  China's quantitative expansion phase: exponential growth but low impact , 2005 .

[22]  John Ruggiero,et al.  Measuring technical efficiency , 2000, Eur. J. Oper. Res..

[23]  Emmanuel Thanassoulis,et al.  Relative Efficiency Assessments Using Data Envelopment Analysis: An Application to Data on Rates Departments , 1987 .

[24]  Henk F. Moed,et al.  Measuring China"s research performance using the Science Citation Index , 2002, Scientometrics.