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China's industrial green total factor water efficiency under the constraints of environment and resource |
ZHANG Feng1, WANG Han2, XUE Hui-feng2 |
1. School of Management, Shandong University of Technology, Zibo 255012, China;
2. China Aerospace Academy of Systems Science and Engineering, Beijing 100048, China |
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Abstract The RAM-SFA-RAM three-stage industrial green total factor water efficiency measurement model was constructed, and the efficiency values of different levels were evaluated and compared. Moreover, the driving mechanism of industrial green total factor water efficiency was empirically analyzed based on Tobit model. The efficiency measurement results showed that environmental factors and statistical noise were important factors that should not be ignored in the calculation of efficiency values. In the period of 2000~2017, the efficiency value of the national sample continued to rise, but there was still a big gap between the perfect development status, and its development stage could be specifically divided into "stable increase period", "vibration period" and "speed increase period". In the regional efficiency analysis, the eastern efficiency had a relatively significant leading edge, while the efficiency difference between the central and northeastern regions was smaller, and the variation curve had obvious "interactive" phenomenon, while the overall efficiency was lower in the west. In the inspection of major economic belts, the efficiency of the Beijing-Tianjin-Hebei region was higher than that in the Pan-Pearl River Delta and Pan-Yangtze River Delta regions. Additionally, the driving mechanism analysis showed that water resources endowment, enterprise technology innovation, water consumption structure and environmental regulation based on the national sample dimension had positively promoted the industrial green total factor water efficiency, while the industrial structure and urbanization rate showed a negative inhibition effect. In the regional sample analysis, there were some differences in the effects of the various influencing factors between different regions, but the industrial structure adjustment and urbanization level should be taken seriously, and different regions needed to take targeted improvement measures based on their actual characteristics.
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Received: 30 March 2020
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