Research Article
Regional Tourism Economic Impact Evaluation Based on Dynamic Input-Output Model
Table 4
Results of scale efficiency on inbound tourism.
| ā | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
| Hefei | 0.84 | 0.85 | 0.96 | 0.86 | 0.90 | 1.00 | 1.00 | 1.00 | 1.00 | Huaibei | 0.25 | 0.30 | 0.51 | 0.36 | 0.51 | 0.63 | 0.53 | 0.12 | 0.45 | Bozhou | 1.00 | 0.80 | 0.76 | 0.84 | 0.84 | 1.00 | 0.82 | 0.80 | 1.00 | Suzhou | 0.54 | 0.33 | 0.49 | 0.37 | 0.68 | 0.98 | 0.81 | 0.80 | 1.00 | Bengbu | 0.91 | 0.90 | 0.90 | 0.94 | 0.91 | 0.95 | 0.88 | 0.74 | 0.96 | Fuyang | 0.36 | 0.50 | 0.63 | 0.72 | 0.80 | 1.00 | 1.00 | 0.72 | 0.53 | Huainan | 0.75 | 0.74 | 0.72 | 0.84 | 0.80 | 0.99 | 1.00 | 0.91 | 0.95 | Chuzhou | 0.90 | 0.90 | 0.99 | 1.00 | 0.95 | 1.00 | 0.93 | 0.66 | 0.90 | Luan | 0.98 | 1.00 | 0.98 | 0.97 | 0.98 | 0.74 | 1.00 | 0.94 | 1.00 | Maanshan | 0.70 | 1.00 | 1.00 | 1.00 | 0.91 | 0.93 | 1.00 | 0.87 | 0.74 | Wuhu | 0.96 | 0.90 | 0.91 | 0.73 | 0.99 | 0.98 | 0.99 | 0.90 | 1.00 | Xuancheng | 0.85 | 0.90 | 0.97 | 0.99 | 0.92 | 0.99 | 1.00 | 0.94 | 0.96 | Tongling | 0.55 | 0.20 | 0.15 | 0.18 | 0.48 | 0.98 | 0.75 | 0.68 | 0.59 | Chizhou | 0.81 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | Anqing | 0.90 | 1.00 | 1.00 | 0.92 | 1.00 | 0.68 | 0.94 | 0.78 | 0.99 | Huangshan | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | Mean | 0.64 | 0.77 | 0.79 | 0.77 | 0.85 | 0.93 | 0.91 | 0.75 | 0.85 |
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