Research Article
Analysis of Public Management Performance Evaluation Model Based on Fuzzy DEA Model
| Region | 2016–2020 mean value on EEE | 2016 | 2017 | 2018 | 2019 | 2020 |
| Beijing | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | Tianjin | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | Shanghai | 0.97 | 0.95 | 0.88 | 1.00 | 1.00 | 1.00 | Shandong | 0.94 | 1.00 | 1.00 | 1.00 | 1.00 | 0.72 | Jiangsu | 0.89 | 1.00 | 0.74 | 1.00 | 1.00 | 0.73 | Guangdong | 0.85 | 1.00 | 1.00 | 1.00 | 0.65 | 0.60 | Zhejiang | 0.75 | 0.73 | 1.00 | 0.76 | 0.62 | 0.63 | Hunan | 0.74 | 0.69 | 0.77 | 0.65 | 0.61 | 1.00 | Fujian | 0.64 | 0.62 | 0.67 | 0.67 | 0.65 | 0.57 | Hebei | 0.61 | 1.00 | 0.55 | 0.54 | 0.50 | 0.46 | Hubei | 0.58 | 0.58 | 0.59 | 0.57 | 0.58 | 0.59 | Sichuan | 0.56 | 0.67 | 0.59 | 0.58 | 0.48 | 0.46 | Guangxi | 0.53 | 0.56 | 0.54 | 0.54 | 0.55 | 0.48 | Hainan | 0.53 | 0.57 | 0.54 | 0.53 | 0.51 | 0.49 | Jiangxi | 0.52 | 0.57 | 0.53 | 0.52 | 0.49 | 0.49 | Anhui | 0.52 | 0.58 | 0.54 | 0.52 | 0.50 | 0.46 | Shanxi (陕西) | 0.51 | 0.56 | 0.51 | 0.51 | 0.48 | 0.47 | Henan | 0.50 | 0.55 | 0.51 | 0.50 | 0.48 | 0.47 | Liaoning | 0.50 | 0.54 | 0.53 | 0.52 | 0.53 | 0.38 | Jilin | 0.47 | 0.53 | 0.48 | 0.47 | 0.43 | 0.42 | Chongqing | 0.46 | 0.49 | 0.46 | 0.45 | 0.46 | 0.45 | Neimenggu | 0.44 | 0.50 | 0.46 | 0.43 | 0.42 | 0.39 | Heilongjiang | 0.43 | 0.43 | 0.41 | 0.45 | 0.47 | 0.40 | Guizhou | 0.42 | 0.38 | 0.39 | 0.42 | 0.46 | 0.44 | Yunnan | 0.40 | 0.38 | 0.38 | 0.38 | 0.48 | 0.39 | Shanxi (山西) | 0.35 | 0.40 | 0.37 | 0.35 | 0.34 | 0.31 | Gansu | 0.35 | 0.39 | 0.37 | 0.36 | 0.33 | 0.32 | Qinghai | 0.33 | 0.35 | 0.34 | 0.34 | 0.33 | 0.30 | Xinjiang | 0.32 | 0.35 | 0.34 | 0.34 | 0.31 | 0.28 | Ningxia | 0.31 | 0.33 | 0.34 | 0.32 | 0.30 | 0.28 |
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