Research Article
[Retracted] Evaluation of Regional Economic Innovation Ability Based on Neural Network
Table 8
Scores and rankings of regional innovation ability.
| Year | 2012 | 2013 | 2014 | 2015 | 2016 | Indicators | U | Ranking | U | Ranking | | U | Ranking | Ranking | U | Ranking |
| Shanghai | 143.06 | 1 | 135.49 | 1 | 130.84 | 1 | 119.44 | 1 | 107.81 | 1 | Jiangsu | 93.03 | 2 | 87.42 | 2 | 97.55 | 2 | 89.19 | 2 | 103.67 | 2 | Zhenjiang | 59.89 | 3 | 66.59 | 3 | 60.85 | 3 | 68.46 | 3 | 61.32 | 3 | Anhui | −16.31 | 6 | −16.50 | 7 | -22.32 | 7 | -10.42 | 6 | 16.31 | 4 | Jiangxi | −43.93 | 8 | −52.16 | 8 | -45.43 | 8 | -47.85 | 8 | -19.95 | 8 | Hubei | −17.59 | 7 | −15.33 | 6 | -19.39 | 6 | -14.71 | 7 | -16.17 | 6 | Hunan | −0.91 | 5 | 15.75 | 4 | 1.88 | 5 | 24.83 | 4 | -0.66 | 5 | Chongqing | 2.09 | 4 | −3.24 | 5 | 22.17 | 4 | 6.60 | 5 | −18.94 | 7 | Sichuan | −60.27 | 9 | −69.01 | 10 | −57.58 | 9 | −60.56 | 9 | −53.40 | 9 | Yunnan | −87.81 | 11 | −85.65 | 11 | −89.75 | 11 | −90.65 | 11 | −81.12 | 10 | Guizhou | −71.24 | 10 | −63.3 | 9 | −78.83 | 10 | −84.33 | 10 | −98.88 | 11 |
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