Table4.10presents the numbers of DEA-efficient DMUs and their operation
stages of full NEAM sample estimated in 2007–2009 by the method of MA with
one-period lag. In 2007–2009, the number of technically efficient universities is
around 6 (or 5.7% of all 211Us), about 1% higher than the results using original
data in Table4.8. From the results of SE scores, there are 7–13% of universities
achieving optimum scale (CRS), and 40–50% of universities operating in the area
of IRS, and the rest 43–47% of universities operating in the area of DRS. These
results are similar with Table4.7, with a bigger amount of scale efficient units, and
a smaller amount of DRS units.
It can be found in Table4.11that applying the method of MA with one-period
lag, the means of estimations of TE, PTE, and SE scores are 0.40, 0.51, and 0.79
respectively, of which the averages of TE and SE scores are on a low level, and
averages of SE are on a medium level. There is no wide variation in these three
efficiency scores, and the overall trend isfirst-decrease-then-increase (see Fig.4.5).
These results are in the similar pattern with Table4.9. Generally speaking, there are
more rooms to improve the TE, PTE and SE of NEAM research efficiency in
211Us. From the efficiency data in 2009 (Table4.10), the percentages of univer-
sities which need to improve their TE and SE are 93 and 87% respectively. These
results are slightly lower than those results estimated by original data.
Table 4.11 TE, PTE and SE
for HSS disciplines (2006–
2010, MA)
2007 2008 2009
TE mean
(SD)0.380
(0.241)
0.356
(0.222)
0.463
(0.255)
PTE mean
(SD)0.503
(0.283)
0.486
(0.277)
0.552
(0.269)
SE mean
(SD)0.774
(0.196)
0.757
(0.208)
0.844
(0.195)
Fig. 4.5 Changes of TE,
PTE and SE for HSS
disciplines (2007–2009, MA)
128 4 Evaluation on Research Efficiency of 211Us: The DEA Approach