Huang Chong, Yin Kedong, Liu Zhe, Cao Tonggang
School of Economics, Ocean University of China, Qingdao 266100, China.
Institute of Marine Economy and Management, Shandong University of Finance and Economics, Jinan 250014, China.
Int J Environ Res Public Health. 2021 Mar 17;18(6):3101. doi: 10.3390/ijerph18063101.
Using panel data from 11 regions (9 provinces and two cities) in the Yangtze River Economic Belt (YREB) during 2002-2017, the regional differences in and spatial characteristics of the green efficiency of water resources along the YREB were analyzed. The undesirable outputs slacks-based measure-data envelopment analysis, Malmquist index, and social network analysis models were employed. A dynamic panel using a system generalized method of moments model was established to empirically examine the main factors influencing green efficiency. The results show the following. First, temporally, green efficiency fluctuates while showing an overall decreasing trend; spatially, green efficiency generally decreases in this order: downstream, upstream, then midstream. Second, the change in the total factor productivity (TFP) index shows an overall increasing trend, with TFP improvement mainly attributable to technology. Third, green efficiency shows a significant spatial correlation. All provinces are in the spatial correlation network, and the network, as a whole, has strong stability. Finally, water resource endowment, water prices, government environmental control strength, and the water resources utilization structure have a significant impact on green efficiency.
利用2002 - 2017年长江经济带11个地区(9省2市)的面板数据,分析了长江经济带水资源绿色效率的区域差异和空间特征。采用了基于非期望产出松弛测度的数据包络分析、Malmquist指数和社会网络分析模型。建立了动态面板系统广义矩估计模型,实证检验影响绿色效率的主要因素。结果如下:第一,从时间上看,绿色效率波动且总体呈下降趋势;从空间上看,绿色效率总体呈下游、上游、中游依次递减的态势。第二,全要素生产率(TFP)指数变化总体呈上升趋势,TFP提升主要归因于技术进步。第三,绿色效率存在显著的空间相关性。所有省份均处于空间关联网络中,且网络整体具有较强的稳定性。最后,水资源禀赋、水价、政府环境管控力度和水资源利用结构对绿色效率有显著影响。