The grey correlation analysis of the relationship between the Science and Technology Input and the economic development in Henan province

Author(s):  
Zhao Junying
2012 ◽  
Vol 424-425 ◽  
pp. 403-409 ◽  
Author(s):  
Tao Li ◽  
Xue Lei Wang ◽  
Wei Wen ◽  
En Hua Li

The grain fluctuation situation of Hubei was analyzed by calculating the grain fluctuation coefficient from 1990s. And the quantitative correlation between grain production and the water disaster was studied by grey correlation analysis. The results were shown as follows. The main water disaster factors impacting grain production were effective irrigated area and planting structure, the relationship degree of which with grain yield is respectively 0.91 and 0.85 ranking the first two among all the selected factors. It was shown that water disaster influenced the grain yield heavily


2022 ◽  
Vol 14 (1) ◽  
pp. 501
Author(s):  
Kedong Yin ◽  
Runchuan Zhang ◽  
Xue Jin ◽  
Li Yu

Environmental regulation and technological innovation play important strategic roles in green growth, and the three systems interact and influence each other. Herein, we used a comprehensive development level evaluation model for calculating the environmental regulation and technological innovation indices for 17 cities in Shandong Province. We used the slack-based measure-data envelopment analysis (SBM-DEA) model to measure green development efficiency. The coupling coordination degree model was used to determine the coordination of environmental regulation, technological innovation, and green development; we divided the cities into three systems: green economy lagging, environmental regulation lagging, and technological innovation lagging. We used grey correlation analysis to explore the factors affecting system development. Eastern coastal cities were better developed in the three systems and the degree of coupling and coordination, like Qingdao and Weihai, and the observed level of technological innovation development, a critical factor in the coordinated development of cities, was lowest in Shandong Province. The grey correlation analysis illustrated that the level of economic development and the level of foreign economic development impacts cities labeled green economy lagging; the impact of pollutant emissions is greater than pollution control expenditure in environmental regulation lagging cities; and the government’s attention and the cultivation and attraction of talent are foundational for technological innovation in lagging cities. Considering these factors, we make recommendations for the optimal development of cities and coordinated development of regions.


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