Research Article
Synergistic Agglomeration of Manufacturing and Logistics Industries and Urban Green Economy Efficiency: Influence and Upgrading
Table 6
Regional change of green economic efficiency in the YRD region in 2010–2019.
| Cities | effch | techch | pech | sech | tfpch |
| Shanghai | 0.941 | 1.151 | 1 | 0.941 | 1.083 | Nanjing | 0.971 | 1.014 | 0.997 | 0.974 | 0.985 | Wuxi | 0.981 | 0.977 | 0.982 | 0.999 | 0.958 | Xuzhou | 1.004 | 0.983 | 1.022 | 0.983 | 0.987 | Changzhou | 0.986 | 1.003 | 0.99 | 0.996 | 0.989 | Suzhou | 0.989 | 0.984 | 0.993 | 0.997 | 0.973 | Nantong | 0.997 | 0.996 | 1.016 | 0.981 | 0.993 | Lianyungang | 0.973 | 0.968 | 0.997 | 0.975 | 0.941 | Huaian | 0.979 | 0.997 | 0.997 | 0.983 | 0.977 | Yancheng | 0.959 | 0.977 | 0.997 | 0.962 | 0.937 | Yangzhou | 1.013 | 1.003 | 1.025 | 0.989 | 1.017 | Zhenjiang | 0.995 | 0.98 | 1.024 | 0.972 | 0.975 | Taizhou | 0.992 | 0.99 | 1.013 | 0.979 | 0.981 | Suqian | 0.98 | 0.974 | 1.001 | 0.979 | 0.955 | Hangzhou | 0.925 | 1.091 | 1 | 0.925 | 1.009 | Ningbo | 0.943 | 1.044 | 0.987 | 0.955 | 0.984 | Wenzhou | 0.953 | 1.087 | 1 | 0.953 | 1.035 | Jiaxing | 0.951 | 0.98 | 0.981 | 0.969 | 0.933 | Huzhou | 0.966 | 0.976 | 0.986 | 0.98 | 0.943 | Shaoxing | 0.944 | 1.027 | 0.98 | 0.963 | 0.97 | Jinhua | 0.938 | 0.967 | 0.967 | 0.97 | 0.907 | Quzhou | 0.996 | 0.972 | 1.001 | 0.995 | 0.968 | Zhoushan | 1.037 | 1.099 | 1.037 | 1 | 1.14 | Taizhou | 0.934 | 1.057 | 0.973 | 0.96 | 0.987 | Lishui | 0.952 | 0.972 | 0.955 | 0.996 | 0.925 | Hefei | 0.994 | 0.978 | 1 | 0.994 | 0.972 | Wuhu | 1.004 | 0.986 | 1.021 | 0.983 | 0.99 | Bengbu | 1.032 | 0.989 | 1.035 | 0.997 | 1.021 | Huainan | 0.968 | 1.032 | 0.97 | 0.998 | 0.999 | Ma’anshan | 1.054 | 0.986 | 1.044 | 1.009 | 1.039 | Huaibei | 1 | 1.014 | 0.993 | 1.006 | 1.014 | Tongling | 1.051 | 1.016 | 1.045 | 1.006 | 1.067 | Anqing | 0.969 | 0.99 | 0.981 | 0.988 | 0.96 | Huangshan | 0.991 | 1.025 | 1 | 0.991 | 1.016 | Chuzhou | 0.951 | 0.967 | 0.97 | 0.98 | 0.919 | Fuyang | 0.932 | 1.02 | 0.946 | 0.985 | 0.951 | Suzhou | 0.983 | 1.051 | 0.981 | 1.002 | 1.034 | Lu’an | 1.029 | 1.042 | 1.021 | 1.008 | 1.072 | Bozhou | 0.959 | 0.987 | 0.959 | 0.999 | 0.946 | Chizhou | 1 | 0.963 | 1.011 | 0.989 | 0.963 | Xuancheng | 0.989 | 0.923 | 0.997 | 0.992 | 0.914 | Mean of Shanghai | 0.941 | 1.151 | 1 | 0.941 | 1.083 | Mean of Jiangsu | 0.983 | 1.000 | 1.004 | 0.979 | 0.982 | Mean of Zhejiang | 0.958 | 1.025 | 0.988 | 0.970 | 0.982 | Mean of Anhui | 0.994 | 0.998 | 0.998 | 0.995 | 0.992 | Mean | 0.980 | 1.005 | 0.997 | 0.983 | 0.985 |
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