College of Economics and Trade, Xinjiang Agricultural University, Urumqi, 830052, Xinjiang, China.
Graduate SchoolChinese Academy of Social Sciences, Beijing, 00102, China.
Sci Rep. 2021 May 11;11(1):9953. doi: 10.1038/s41598-021-89293-2.
This study evaluated the water resource utilization efficiency and resource consumption for planting, forestry, animal husbandry, and fishery in various regions of China. Using the super-efficiency Slacks-Based Measure (SBM) analysis method, the main agricultural pollution emissions (Chemical Oxygen Demand, ammonia nitrogen, and agricultural carbon emissions) were proposed as environmental constraints for the first time. The threshold regression model was used to measure the impact of agricultural water use efficiency on agricultural water consumption by constructing seven different explanatory variables. The results show that the overall utilization efficiency of agricultural water resources in China presents a fluctuating downward trend, and the regional differences are significant. A single threshold effect on agricultural water consumption was found in five variables: per capita water resources, disposable income, dependence on foreign trade, industrial structure, and Gross Domestic Product. The increase in each parameter will have a positive effect on agricultural water consumption. The relationship between agricultural water use efficiency and agricultural water use was non-linear when the government's attention and the rural labor force were used as threshold variables.
本研究评估了中国各地区种植、林业、畜牧业和渔业的水资源利用效率和资源消耗。首次采用超效率基于松弛的测度(SBM)分析方法,以主要农业污染排放物(化学需氧量、氨氮和农业碳排放)作为环境约束条件。利用门槛回归模型,通过构建七个不同的解释变量,测算了农业用水效率对农业用水量的影响。结果表明,中国农业水资源利用整体效率呈波动下降趋势,区域差异显著。在五个变量中发现了农业用水量的单一门槛效应:人均水资源、可支配收入、对外贸易依存度、产业结构和国内生产总值。每个参数的增加都会对农业用水量产生积极影响。当以政府关注度和农村劳动力作为门槛变量时,农业用水效率与农业用水量之间的关系是非线性的。