so good, even lower than central and western 211Us after 2008. According to the
SDs of TE scores, there are some regional differences. The SDs of TE scores of
eastern 211Us is slightly lower than those of central or western 211Us, demon-
strating that the between-university variations of eastern 211Us are smaller than
those of central or western 211Us.
(2) HSS Disciplines
Overall, in 2006–2010, the TE scores of most groupsfirst increase, then
decrease, and then increase again, but all kept at a relatively low level. The pro-
portion of DEA-efficient university in eastern, central and western 211Us are all at a
low level, no greater than 9%. Compared with the production frontier of the full
sample, the central 211Us have higher efficient proportions than eastern and
western 211Us, but inside the eastern 211Us, there is even no single efficient
university in HSZUs. Referring to the analysis on the inputs and outputs, HSZUs
have fast growth in research inputs, while this doesn’t bring corresponding increase
in outputs, especially in the term of high-quality outputs. This might be related with
the internal logics of research activities inside HSS disciplines. Similar with NEAM
disciplines, there is no big difference on the SDs of TE scores between eastern,
central and western 211Us, and there is a wider variation in central 211Us than in
eastern or western 211Us.
7.1.3.4 Analysis of Projection on Research Efficiency
(1) NEAM Disciplines
In 2006–2010, the redundant proportions of DEA-inefficient 211Us on the
indicators of T&R Staff and R&D Grants are high across all years, withfive-year
means at −34.5 and −35.23%. In 2006–2010, the redundant proportion of
DEA-inefficient 211Us on the indicator of T&R Staff is in the downtrend, and the
redundant proportion on the indicator of R&D Grants isfluctuant. By further
analyzing the improving strategies, wefind that to those DEA-inefficient 211Us,
there are much more rooms to increase their outputs, especially patents and pub-
lications of high-level papers.
Comparing 985Us sample with non-985Us sample, the redundant proportions of
DEA-inefficient 985Us are lower than that of non-985Us on the indicators of T&R
Staff and R&D Grants. By further analyzing the improving strategies, to those
DEA-inefficient 985Us, there are much more rooms to increase outputs of patents
and EI articles. While to those DEA-inefficient non-985Us, it’s worth increasing the
output of SCI articles.
Comparing 211Us located in different regions, in 2006–2010, the redundant
proportion of DEA-inefficient eastern 211Us is lower than that of the
DEA-inefficient central or western 211Us on the indicator of T&R Staff. During
2007 – 2010, the redundant proportion of DEA-inefficient western 211Us is lower
than that of the DEA-inefficient eastern or central 211Us on the indicator of R&D
294 7 Concluding Remarks and Policy Implications