计算了1997-2010年中国31个省市的水足迹强度,整体呈现明显下降趋势;运用全局Moran’s,I指数探讨中国各省市水足迹强度空间自相关模式,发现1997-2010年水足迹强度显示出全局正的自相关,自相关程度逐年增大。基于省际水足迹强度的面板数据,空间计量收敛分析结果表明中国各省市水足迹强度存在绝对β收敛,空间因素在水足迹强度收敛过程中起到重要作用。在考虑了空间效应情况下,收敛时间明显延长。通过条件口收敛检验,人均GDP、人均水足迹、工业水足迹强度、教育经费比重、外商直接投资、市场化程度均在不同程度上影响着水足迹强度收敛。在标准条件卢收敛模型中人均GDP和工业水足迹强度分别正向和负向显著影响水足迹强度的收敛,而在空间滞后模型和空间误差模型中的条件届收敛中只有人均水足迹负向显著影响水足迹强度的收敛。最后对中国水资源利用效率健康发展提出了相应的政策建议。
China's water resource management is currently facing two main problems: a shortage of water resources and a deterioration of the water ecological environment. The rapid economic growth of China's provinces has led to the water crisis becoming an important factor restricting China's sustainable social and economic development. To solve the problem of the sustainability of Chinese water resource use it is necessary to improve the utilization efficiency of water resources. A traditional evaluation of water resource use efficiency measures agricultural, industrial, and domestic water consumption. However, this measure cannot reflect the actual water resource consumption of society as a whole. Therefore, developing a more accurate measurement of water resource consumption is an important part of solving the problem of water resource sustainability. Water footprint intensity is an index that is able to reflect the efficiency of water resource utilization. Meanwhile, some previous researchers have investigated the convergence of the water footprint intensity of China's provinces and economic growth. In this paper, we calculate the water footprint intensity of China's 31 provinces from 1997 to 2010. Our results show that there is a general decreasing tendency, which means that water use efficiency is increasing. The Global Moran index was then applied to explore the spatial autocorrelation pattern of the water footprint intensity of China's provinces. These results show that water footprint intensity has positive autocorrelation characteristics and that the autocorrelation degree increases year by year. Based on the panel data of provincial water footprint intensity, the space measuring convergence analysis results show that the water footprint intensity in China exhibits absolute β convergence andconditionalβ convergence. Furthermore, space effect factors are shown to play an important role in the convergence process of the intensity of water footprint. Considering the spatial effect, the convergent spe