Research Article
Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China
Table 2
Green total factor productivity growth ratio in 2007–2016.
| Zone | Province | 07/08 | 08/09 | 09/10 | 10/11 | 11/12 | 12/13 | 13/14 | 14/15 | 15/16 |
| East region | Beijing | 0.9943 | 0.9998 | 1.0019 | 1.0014 | 1.0032 | 1.0017 | 1.0037 | 1.0004 | 1.0012 | Tianjin | 1.0000 | 0.9958 | 0.9940 | 1.0103 | 0.9952 | 1.0004 | 1.0043 | 1.0000 | 1.0000 | Hebei | 0.9968 | 0.9966 | 0.9998 | 0.9943 | 0.9954 | 1.0060 | 1.0112 | 1.0000 | 1.0000 | Liaoning | 1.0000 | 1.0000 | 1.0000 | 0.9947 | 0.9956 | 0.9979 | 1.0118 | 1.0000 | 1.0000 | Shanghai | 0.9968 | 1.0033 | 1.0000 | 1.0000 | 0.9973 | 1.0027 | 1.0000 | 1.0000 | 1.0000 | Jiangsu | 1.0000 | 0.9987 | 0.9967 | 1.0000 | 0.9976 | 1.0026 | 1.0043 | 1.0000 | 1.0000 | Zhejiang | 0.9981 | 1.0004 | 0.9995 | 1.0015 | 0.9987 | 1.0057 | 1.0049 | 1.0005 | 0.9996 | Fujian | 0.9928 | 0.9964 | 1.0018 | 1.0011 | 1.0014 | 1.0021 | 0.9994 | 1.0015 | 1.0007 | Shandong | 1.0000 | 1.0000 | 0.9949 | 0.9990 | 0.9959 | 1.0024 | 1.0078 | 1.0000 | 1.0000 | Guangdong | 1.0000 | 0.9978 | 1.0022 | 1.0000 | 0.9970 | 1.0030 | 1.0000 | 1.0000 | 1.0000 | Hainan | 0.9946 | 0.9984 | 0.9983 | 1.0088 | 0.9921 | 1.0080 | 1.0000 | 1.0000 | 1.0000 | Average | 0.9976 | 0.9988 | 0.9990 | 1.0010 | 0.9972 | 1.0030 | 1.0043 | 1.0002 | 1.0001 |
| Middle region | Shanxi | 1.0000 | 0.9942 | 0.9983 | 0.9994 | 0.9925 | 1.0052 | 1.0105 | 1.0000 | 1.0000 | Jilin | 0.9819 | 0.9958 | 0.9996 | 0.9996 | 0.9995 | 1.0066 | 1.0103 | 1.0010 | 1.0003 | Heilongjiang | 0.9816 | 0.9889 | 0.9973 | 1.0014 | 0.9938 | 1.0021 | 1.0088 | 0.9984 | 0.9954 | Anhui | 0.9856 | 0.9960 | 1.0002 | 1.0038 | 0.9978 | 1.0030 | 1.0146 | 1.0009 | 0.9997 | Jiangxi | 1.0000 | 1.0000 | 0.9985 | 1.0015 | 0.9926 | 1.0013 | 1.0061 | 1.0000 | 1.0000 | Henan | 1.0106 | 0.9938 | 0.9989 | 0.9972 | 0.9957 | 1.0009 | 1.0059 | 1.0003 | 1.0000 | Hubei | 0.9897 | 0.9969 | 1.0015 | 1.0037 | 0.9992 | 1.0055 | 1.0063 | 0.9985 | 1.0005 | Hunan | 0.9807 | 0.9980 | 1.0027 | 1.0012 | 0.9986 | 1.0026 | 1.0084 | 0.9989 | 0.9981 | Average | 0.9913 | 0.9955 | 0.9996 | 1.0010 | 0.9962 | 1.0034 | 1.0089 | 0.9998 | 0.9993 |
| West region | Inner Mongolia | 1.0000 | 1.0000 | 0.9984 | 1.0016 | 0.9966 | 1.0035 | 1.0000 | 1.0000 | 0.9964 | Guangxi | 1.0000 | 0.9960 | 1.0041 | 1.0000 | 0.9946 | 1.0054 | 0.9828 | 1.0040 | 0.9941 | Chongqing | 0.9917 | 0.9957 | 0.9946 | 1.0020 | 0.9974 | 0.9994 | 0.9969 | 0.9997 | 1.0002 | Sichuan | 0.9888 | 0.9936 | 0.9986 | 0.9987 | 0.9961 | 1.0045 | 0.9984 | 1.0011 | 1.0007 | Guizhou | 1.0000 | 1.0000 | 0.9938 | 0.9936 | 1.0000 | 0.9997 | 0.9930 | 0.9972 | 0.9996 | Yunnan | 0.9750 | 0.9992 | 1.0032 | 1.0035 | 0.9959 | 1.0019 | 1.0408 | 0.9865 | 0.9965 | Shanxi | 1.0008 | 0.9995 | 0.9999 | 1.0039 | 0.9933 | 1.0034 | 1.0118 | 0.9991 | 1.0009 | Gansu | 0.9692 | 0.9936 | 0.9967 | 1.0001 | 0.9970 | 1.0075 | 1.0150 | 0.9959 | 0.9962 | Qinghai | 1.0000 | 0.9949 | 0.9988 | 1.0064 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | Ningxia | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 0.9955 | 1.0045 | 1.0000 | 1.0000 | 1.0000 | Xinjiang | 0.9913 | 0.9967 | 1.0031 | 1.0018 | 0.9972 | 1.0037 | 1.0072 | 0.9980 | 0.9984 | Average | 0.9924 | 0.9972 | 0.9992 | 1.0011 | 0.9967 | 1.0030 | 1.0042 | 0.9983 | 0.9985 |
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