Research Article
Heterogeneity of Green TFP in China’s Logistics Industry under Environmental Constraints
Table 5
TFP Index and its decomposition of logistics industry in all provinces of China (2003–2017).
| | Province | Energy and environmental factors are not introduced | Introduce energy and environmental factors | | TEC | TPC | TFPC | TFPR | TEC | TPC | TFPC | TFPR |
| | Beijing | 0.9764 | 1.0020 | 0.9784 | 28 | 1.0000 | 1.0173 | 1.0173 | 17 | | Tianjin | 1.0063 | 1.0183 | 1.0247 | 13 | 1.0147 | 1.0201 | 1.0350 | 4 | | Hebei | 1.0000 | 1.0442 | 1.0442 | 9 | 1.0000 | 1.0321 | 1.0321 | 7 | | Shanxi | 0.9904 | 1.0048 | 0.9952 | 26 | 1.0001 | 1.0103 | 1.0104 | 23 | | Inner Mongolia | 1.0134 | 1.0594 | 1.0736 | 3 | 1.0017 | 1.0308 | 1.0325 | 6 | | Liaoning | 0.9697 | 1.0036 | 0.9733 | 30 | 0.9926 | 1.0092 | 1.0018 | 28 | | Jilin | 0.9876 | 1.0115 | 0.9990 | 23 | 1.0069 | 1.0156 | 1.0226 | 12 | | Heilongjiang | 0.9882 | 1.0026 | 0.9908 | 27 | 1.0185 | 1.0123 | 1.0310 | 8 | | Shanghai | 1.0221 | 1.0096 | 1.0319 | 11 | 1.0173 | 1.0156 | 1.0332 | 5 | | Jiangsu | 1.0193 | 1.0402 | 1.0602 | 5 | 1.0056 | 1.0309 | 1.0368 | 2 | | Zhejiang | 0.9956 | 1.0808 | 1.0760 | 2 | 1.0049 | 1.0459 | 1.0511 | 1 | | Anhui | 0.9924 | 1.0194 | 1.0117 | 17 | 0.9913 | 1.0201 | 1.0112 | 20 | | Fujian | 0.9831 | 1.0715 | 1.0534 | 7 | 1.0000 | 1.0306 | 1.0306 | 9 | | Jiangxi | 1.0183 | 1.0376 | 1.0567 | 6 | 0.9982 | 1.0192 | 1.0174 | 16 | | Shandong | 0.9901 | 1.0181 | 1.0081 | 18 | 0.9908 | 1.0152 | 1.0058 | 26 | | Henan | 1.0138 | 1.0162 | 1.0302 | 12 | 0.9890 | 1.0137 | 1.0025 | 27 | | Hubei | 0.9939 | 1.0118 | 1.0056 | 20 | 1.0044 | 1.0130 | 1.0175 | 15 | | Hunan | 1.0174 | 1.0228 | 1.0406 | 10 | 0.9934 | 1.0179 | 1.0111 | 21 | | Guangdong | 0.9862 | 1.0124 | 0.9984 | 25 | 1.0130 | 1.0220 | 1.0353 | 3 | | Guangxi | 0.9803 | 1.0222 | 1.0021 | 22 | 0.9935 | 1.0176 | 1.0111 | 22 | | Hainan | 0.9848 | 1.0141 | 0.9987 | 24 | 1.0021 | 1.0104 | 1.0125 | 19 | | Chongqing | 0.9606 | 1.0164 | 0.9764 | 29 | 0.9777 | 1.0181 | 0.9954 | 30 | | Sichuan | 0.9757 | 1.0421 | 1.0168 | 15 | 0.9854 | 1.0225 | 1.0076 | 24 | | Guizhou | 1.0058 | 1.0585 | 1.0647 | 4 | 0.9982 | 1.0316 | 1.0298 | 10 | | Yunnan | 1.0013 | 1.0851 | 1.0865 | 1 | 0.9959 | 1.0336 | 1.0294 | 11 | | Shaanxi | 0.9915 | 1.0115 | 1.0029 | 21 | 1.0044 | 1.0166 | 1.0211 | 13 | | Gansu | 0.9976 | 1.0083 | 1.0059 | 19 | 1.0017 | 1.0140 | 1.0156 | 18 | | Qinghai | 0.9747 | 1.0714 | 1.0443 | 8 | 0.9638 | 1.0364 | 0.9989 | 29 | | Ningxia | 0.9909 | 1.0270 | 1.0176 | 14 | 0.9934 | 1.0250 | 1.0182 | 14 | | Xinjiang | 0.9941 | 1.0184 | 1.0123 | 16 | 0.9948 | 1.0128 | 1.0075 | 25 | | Mean | 0.9939 | 1.0285 | 1.0222 | | 0.9984 | 1.0210 | 1.0193 | |
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