Research Article
Regional Tourism Economic Impact Evaluation Based on Dynamic Input-Output Model
Table 2
Results of overall efficiency on inbound tourism.
| | ā | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
| | Hefei | 0.50 | 0.60 | 0.80 | 0.90 | 1.00 | 0.98 | 1.00 | 0.78 | 1.00 | | Huaibei | 0.05 | 0.51 | 0.36 | 0.51 | 0.63 | 0.53 | 0.12 | 0.45 | 0.38 | | Bozhou | 1.00 | 0.33 | 0.21 | 0.55 | 1.00 | 0.66 | 0.14 | 1.00 | 1.00 | | Suzhou | 0.10 | 0.40 | 0.37 | 0.63 | 0.98 | 0.57 | 0.26 | 0.38 | 0.41 | | Bengbu | 0.40 | 0.73 | 0.24 | 0.50 | 0.85 | 0.78 | 0.18 | 0.96 | 0.17 | | Fuyang | 0.85 | 0.63 | 0.85 | 0.80 | 1.00 | 1.00 | 0.72 | 0.73 | 0.83 | | Huainan | 0.46 | 0.46 | 0.37 | 0.67 | 0.94 | 1.00 | 0.08 | 0.59 | 1.00 | | Chuzhou | 0.54 | 0.38 | 0.26 | 0.34 | 1.00 | 0.50 | 0.35 | 0.90 | 0.56 | | Luan | 0.65 | 0.62 | 0.55 | 0.82 | 0.49 | 0.76 | 0.17 | 1.00 | 0.64 | | Maanshan | 0.39 | 1.00 | 1.00 | 0.91 | 0.64 | 1.00 | 0.15 | 0.16 | 0.18 | | Wuhu | 0.19 | 0.62 | 0.47 | 0.94 | 0.51 | 0.89 | 0.85 | 1.00 | 1.00 | | Xuancheng | 0.20 | 0.25 | 0.19 | 0.39 | 0.45 | 0.46 | 0.15 | 0.18 | 0.19 | | Tongling | 0.05 | 0.15 | 0.18 | 0.48 | 0.98 | 0.24 | 0.10 | 0.10 | 0.14 | | Chizhou | 0.56 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Anqing | 0.10 | 0.71 | 0.50 | 1.00 | 0.56 | 0.99 | 0.59 | 0.55 | 0.98 | | Huangshan | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Mean | 0.151 | 0.58 | 0.56 | 0.71 | 0.81 | 0.77 | 0.34 | 0.64 | 0.59 |
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