# Dynamic Evaluation and Internal Driving Factors of Water Resources Green Efficiency in China
## 4 Result and Discussion
### Dynamic Trend of Water Resources Green Efficiency
#### 4.1.1 Time Variation Characteristics of Water Resources Green Efficiency Improvement
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Province** & **2000–2001** & **2003–2004** & **2006–2007** & **2009–2010** & **2013–2014** & **2015–2016** & **Mean** \\ \hline Zhejiang & 1.026 & 0.991 & 1.048 & 1.046 & 1.017 & 1.000 & 1.015 \\ Anhui & 0.996 & 1.024 & 1.027 & 1.056 & 1.000 & 1.000 & 1.020 \\ Fujian & 1.000 & 1.000 & 1.000 & 1.003 & 0.998 & 1.003 & 1.000 \\ Jiangxi & 1.013 & 0.987 & 1.036 & 0.994 & 1.010 & 1.022 & 1.010 \\ Shandong & 0.999 & 1.005 & 1.006 & 1.013 & 1.009 & 1.066 & 1.010 \\ Henan & 1.003 & 0.986 & 0.998 & 0.997 & 1.021 & 1.035 & 1.006 \\ Hubei & 1.019 & 1.006 & 1.015 & 1.017 & 1.016 & 1.038 & 1.015 \\ Hunan & 0.929 & 0.988 & 1.013 & 1.008 & 1.020 & 1.025 & 1.003 \\ Guangdong & 1.145 & 0.957 & 1.084 & 0.977 & 1.008 & 1.000 & 1.010 \\ Guangxi & 1.000 & 0.836 & 1.157 & 0.943 & 1.027 & 0.991 & 0.991 \\ Hainan & 1.000 & 0.994 & 1.000 & 1.000 & 0.980 & 1.000 & 1.000 \\ Chongqing & 1.003 & 1.010 & 1.045 & 1.068 & 1.030 & 0.958 & 1.016 \\ Sichuan & 1.016 & 0.992 & 1.002 & 1.043 & 1.010 & 1.028 & 1.013 \\ Guizhou & 1.014 & 1.002 & 1.038 & 1.049 & 0.957 & 1.050 & 1.012 \\ Yunnan & 1.000 & 1.000 & 1.000 & 1.000 & 1.000 & 1.000 & 1.000 \\ Shaanxi & 1.025 & 0.993 & 0.990 & 1.026 & 0.982 & 1.034 & 1.010 \\ Gansu & 1.027 & 1.026 & 1.036 & 1.044 & 1.023 & 1.014 & 1.017 \\ Qinghai & 0.991 & 0.966 & 0.988 & 0.990 & 1.000 & 0.999 & 1.000 \\ Ningxia & 1.052 & 0.972 & 1.000 & 1.000 & 0.957 & 1.000 & 1.021 \\ Xinjiang & 1.010 & 1.004 & 0.999 & 1.008 & 1.020 & 1.050 & 1.008 \\ Nation & 1.015 & 0.999 & 1.022 & 1.006 & 1.004 & 1.024 & 1.011 \\ East & 1.022 & 1.027 & 1.021 & 0.999 & 1.004 & 1.017 & 1.009 \\ Central & 1.005 & 0.982 & 1.018 & 1.008 & 1.010 & 1.040 & 1.014 \\ West & 1.016 & 0.984 & 1.027 & 1.010 & 0.999 & 1.018 & 1.010 \\ \hline \hline \end{tabular} Note: The mean value is the average value for each province in the study period 2000–2016. All data have been rounded.  
\end{table} 
Table 2: _Cont._2. Time-varying characteristics at the regional level  
Due to the large expanse of China's land area, and the great difference of social economic development and climate environment, this paper will divide China into three regional groups: The eastern grouping included 11 provinces (Beijing, Tianjin, Hebei, Liaoning, Shanghai, Jiangsu, Zhejiang, Shandong, Fujian, Guangdong, and Hainan). The central grouping included eight provinces (Shanxi, Jilin, Heilongjiang, Henan, Anhui, Hubei, Hunan, and Jiangxi). The western grouping included 11 provinces (Inner Mongolia, Chongqing, Sichuan, Guizhou, Yunnan, Guangxi, Shaanxi, Gansu, Qinghai, Ningxia and Xinjiang) (the full text of the eastern and western provinces are all the same); according to the level of economic development. As can be seen from Table 2, the water resources green efficiency in the eastern, central and western regions improved during the study period, which is consistent with the conclusion on a national basis. The comparative analysis shows that the greatest efficiency improvement was achieved in the central region, with the efficiency value increasing by 1.4%, followed by that in the western region (1%) and the eastern region (0.9%). However, these results indicate that the difference in the water resources green efficiency among regions was narrow. In addition, as shown in Figure 1, the trend of water resources green efficiency in the eastern region was negatively correlated with that in the central and western regions before 2007. After 2008, the change trends of water resource green efficiency in the three regions were consistent. The reason is that there is a notable lag in technology transfer. Prior to 2008, as the eastern part of the country was a technology exporter to other areas of the country, thus, while the eastern region improved the water resources green efficiency due to the development and implementation of new technologies, the central and western regions were still applying somewhat outdated production technology.