Evaluating Green Development Index in Ecologically Fragile Areas of China

Author(s):  
Lijuan Si
2018 ◽  
Vol 38 (19) ◽  
Author(s):  
田金平 TIAN Jinping ◽  
臧娜 ZANG Na ◽  
许杨 XU Yang ◽  
陈吕军 CHEN Lüjun

2021 ◽  
Vol 237 ◽  
pp. 01039
Author(s):  
Zhijie Jia ◽  
Mengfan He ◽  
Junjie Mou ◽  
Geng Ge ◽  
Quanhui Yang ◽  
...  

Based on the material flow analysis method, the green development index system of industrial park was constructed. By using the PSR model, 13 indexes were divided into pressure layer, state layer and response layer, the indexes were standardized, weight distribution and synthesis. The green development level of industrial park was divided into 5 grades combined with the pressure state response factors. The results show that the energy consumption per unit industrial output of a stainless-steel industrial park is 0.7116 tons of standard coal per million yuan, the water consumption per unit industrial output is 6.1466 cubic meters per million yuan, the wastewater discharge per unit industrial added value is 3.12 tons per million yuan, the reduction rate of carbon emissions per unit industrial added value is 19.53%, and the green development index is 0.65, which belongs to the third level of green development. The problems are reflected in particulate emission, resource recycling, energy efficiency, industrial structure, and park greening. In the future, the stainless-steel industrial park should focus on industrial restructuring and transformation, environmental protection infrastructure construction, new policy guidance, and ecological environment construction of the park.


2021 ◽  
Author(s):  
wei wang ◽  
lei zhou ◽  
wei chen ◽  
chao Wu

Abstract Innovation-driven development and green development are both important ways to achieve regional sustainable development. Many studies have focused on innovation-driven dynamic factors and green development impact factors, yet most have paid little attention to the relationship between the two types of factors. This study considers the innovation-driven development and green development evaluation systems of 130 cities in the Yangtze River Economic Belt. Through expert group evaluation, the three dimensions of green production, green life and green ecology are selected to represent the green development index. Innovation input, innovation performance, and innovation potential reflect the innovation-driven development index. The entropy TOPSIS method is used to measure the innovation-driven development index and the green development index of 130 cities in the Yangtze River Economic Belt. Then, a coupling coordination evaluation model and a spatiotemporal heterogeneity analysis model are constructed to discuss the coupling coordination index of regional innovation-driven development and green development in the Yangtze River Economic Belt and to determine its temporal and spatial distribution characteristics. Finally, we choose a spatial panel regression model to explore the relationship between the innovation-driven development index and the green development index of the Yangtze River Economic Belt. The research results show that there is a significant difference between the innovation-driven development index and the green development index of the 130 cities in the Yangtze River Economic Belt in terms of the temporal and spatial distribution. The coordination index of the two has an imbalanced distribution feature, and there is a significant direct or indirect relationship between the two structural indicators in a mathematical sense. This study enhances the academic community's understanding of the interaction between innovation-driven development and green development, provides scientifically based support for green development, offers guidance for the implementation of innovation capabilities, and ultimately supports a policy design facilitating regional sustainable development.


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