Assessing global resource utilization efficiency in the industrial sector

With the development of the equipment resources conservation in PLA, the equipment resource-ability is proposed as a basic property of the equipment. The reaction of the equipment are available to promote resource saving and environment-friendly capabilities. With the deepening of the study, how to transform the equipment resource-ability from theory to practice and how to measure the existing equipment’s equipment resource-ability become the urgent problems. As the important component of the equipment resource theory system, the evaluation of equipment resources can response the level of equipment resource-ability correctly and objectively and also can offer the instruction for the equipment research department on comprehension and improvement of equipment resource-ability. Setting out from the relevant concepts of equipment resource-ability, this thesis proposes the basic principle of evaluation of equipment resource-ability, which is the whole life cycle principle, typical and representative principle as well as the oriented principle. Meanwhile, through the analysis on each stage of the whole life cycle of equipment, this thesis elects some factors that has a greater impact on equipment resource-ability, namely equipping materials selected, function structure and disposal of pollutant. The impacts of the three factors mentioned above on the equipment resource-ability mainly reflect in the sustainable ability of equipment consuming resource, resource utilization efficiency and environmental impact. Therefore, this article will regard the sustainable ability of equipment consuming resource, resource utilization efficiency, environmental impacts as the principal parts of evaluation of equipment resource-ability., At the same time, the index such as the using proportion of scarce materials, the comprehensive energy consumption, the pollutant of liquid, emission, gas at unit time and the degree of human health damage will be as a specific index of evaluation of equipment resource-ability in the thesis.

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Research on evaluation of China's water-resource utilization efficiency based on DEA-Tobit two-stage model

Water Science & Technology Water Supply ◽

10.2166/ws.2020.349 ◽

2020 ◽

Author(s):

Y. Yang

Keyword(s):

Water Use ◽

Resource Utilization ◽

Water Resource ◽

Water Consumption ◽

Regional Differences ◽

Utilization Efficiency ◽

Water Resource Utilization ◽

Use Efficiency ◽

Per Capita ◽

Resource Utilization Efficiency

Abstract In the paper, Data Envelopment Analysis Tobit (DEA-Tobit) two-stage model was used to evaluate the efficiency of water-resource utilization, and regional differences and influencing factors 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 0.3–0.8, there are regional differences in water-resource utilization efficiency in China, with the eastern region being higher 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 water consumption and industrial water consumption have a greater impact. Technological level and water-resource utilization efficiency have shown a significant positive correlation.

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Development of a method for structural optimization of a neural network based on the criterion of resource utilization efficiency

Eastern-European Journal of Enterprise Technologies ◽

10.15587/1729-4061.2019.164591 ◽

2019 ◽

Vol 2 (4 (98)) ◽

pp. 57-65 ◽

Cited By ~ 1

Author(s):

Igor Lutsenko ◽

Oleksii Mykhailenko ◽

Oksana Dmytriieva ◽

Oleksandr Rudkovsky ◽

Denis Mospan ◽

...

Keyword(s):

Neural Network ◽

Structural Optimization ◽

Resource Utilization ◽

Utilization Efficiency ◽

Resource Utilization Efficiency

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Research on the impact of environmental regulation on water resources utilization efficiency in China based on SYS-GMM model

Water Science & Technology Water Supply ◽

10.2166/ws.2021.126 ◽

2021 ◽

Author(s):

X. B. Wang ◽

Z. L. Wang

Keyword(s):

Water Resources ◽

Environmental Regulation ◽

Resource Utilization ◽

Water Resource ◽

Negative Correlation ◽

Utilization Efficiency ◽

Water Resource Utilization ◽

The Impact ◽

Resource Utilization Efficiency ◽

Water Resources Utilization

Abstract The paper uses the super-efficiency DEA (Data Envelopment Analysis) model to measure the water resources utilization efficiency of 30 provinces in China, and then uses the system GMM (Generalized Method of Moments) model to analyze the impact of environmental regulations on China's regional water resources utilization efficiency. Conclusions as follows: (1) The overall water utilization efficiency is low, and the regions are very unbalanced. The more efficient areas are concentrated in the east, and the less efficient areas are in the west; (2)There is a ‘U’-shaped relationship between the intensity of environmental regulation and water resource utilization efficiency, that is, weaker environmental regulation intensity is not conducive to the improvement of water resource utilization efficiency, but when the intensity of environmental regulation crosses the ‘inflection point’, it can promote the improvement of water resources utilization efficiency; (3) The level of economic development has a very significant positive effect on water resources utilization efficiency, and the coefficient of scientific and technological progress is positive, but the impact of scientific and technological input on water resources utilization efficiency is limited and not significant; industrial structure and water resource utilization efficiency shows a negative correlation; water use structure and water resources efficiency show a negative correlation.

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