Table 5 Input and output of 13 universities in 2017.
From: Regret cross-efficiency evaluation using attitudinal entropy approach
DMU | University (unit) | R&D fund (1000 yuan) | Full-time R&D staff (man-year) | Technology transfer revenue (1000 yuan) | Number of papers published in domestic academic journals (piece) | Number of papers published in foreign academic journals (piece) |
|---|---|---|---|---|---|---|
1 | Beijing University | 2475454 | 2032 | 64535 | 5938 | 6059 |
2 | Nankai University | 608330 | 743 | 38673 | 1752 | 1769 |
3 | Tianjin University | 2514015 | 1210 | 2588 | 6056 | 2471 |
4 | Jilin University | 1623663 | 5013 | 33540 | 6560 | 3820 |
5 | Fudan University | 3187807 | 1156 | 608034 | 5964 | 2781 |
6 | Shanghai Jiao Tong University | 3059183 | 2453 | 41815 | 8032 | 6804 |
7 | Nanjing University | 1317428 | 697 | 3746 | 3530 | 214 |
8 | Xiamen University | 1070953 | 556 | 1080 | 2648 | 316 |
9 | Wuhan University | 1803090 | 980 | 11795 | 5514 | 4878 |
10 | Sun Yat-sen University | 3258143 | 1445 | 35687 | 6228 | 2327 |
11 | Sichuan University | 1861998 | 2112 | 267073 | 6488 | 4547 |
12 | Xi’an Jiaotong University | 1486753 | 1056 | 82960 | 4379 | 1473 |
13 | Lanzhou University | 378847 | 469 | 100 | 1984 | 519 |
