Abstract
Abstract In this paper, a Data Envelopment Analysis-Tobit (DEA-Tobit) two-stage model was used to evaluate the efficiency of water-resource utilization, and the regional differences and influencing factors on water-resource utilization were analyzed. The results of the analysis of regional differences show that China's water-use efficiency is relatively low. Only Beijing, Shanghai, and Fujian have water-use efficiency higher than 0.8, whereas most other provinces and cities have an efficiency of 0.3–0.8. The eastern region demonstrates a higher water-resource utilization efficiency than the central and western regions. The analysis of the influencing factors of regional differences in water-use efficiency found that per capita water resources, per capita domestic water use, and the proportion of primary and secondary industries all have a negative impact on the efficiency of water use, and per capita GDP has a positive impact on the efficiency of water use. Agricultural water consumption, industrial water consumption, domestic water consumption, and total ecological water consumption all have a negative impact on water-resource utilization efficiency, of which domestic water consumption and industrial water consumption have a greater impact. Technological level and water-resource utilization efficiency show a significant positive correlation.
Highlights
IntroductionIn a broad sense, refers to the total amount of water bodies in the hydrosphere, and more commonly refers to water resources that can be directly used by
Based on the above understanding, this paper evaluates the efficiency of regional water-resource utilization in China from the perspective of total factor productivity, and on this basis characterizes the regional differences in water-resource utilization efficiency, and further explores the possible causes of the existing differences with the help of quantitative-analysis methods
Data envelopment analysis (DEA) was created and developed in 1978 by the famous American operations researchers Charness, Cooper, and Rhodes. This method is based on the premise that the input or output of decisionmaking units (DMUs) are unchanged, a mathematical planning model and statistical data are used to obtain a relatively effective production frontier, and each DMU is projected onto the production frontier
Summary
In a broad sense, refers to the total amount of water bodies in the hydrosphere, and more commonly refers to water resources that can be directly used by. Water Supply | 21.4 | 2021 crisis caused by lack of water resources and water pollution seriously restricts the healthy development of the world economy. The shortage of water resources and the contradiction between the supply and demand of water resources have had a large negative impact on China’s economic growth, rapid economic development will increase pressure on water resources. People pay increasing attention to whether the current water resources can: support the food supply of China’s huge population; solve the problems of water shortage, water resource pollution, and ecological degradation; properly deal with the impact of climate change; or support the steady and rapid development of the social economy. The rational use of water resources in China is an important issue that needs to be resolved in China at this stage
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