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黄河流域工业绿色发展差异性与障碍因素分析.
- Source :
-
Yellow River . 7/10/2024, Vol. 46 Issue 7, p8-21. 8p. - Publication Year :
- 2024
-
Abstract
- In order to provide theoretical support and decision-making basis for improving the level of industrial green development in the Yellow River Basin and promoting the transformation and building industrial green development in the Yellow River Basin, the panel data of nine provinces (regions) in the Yellow River Basin from 2012 to 2021 were used to calculate the level of industrial green development in the Yellow River Basin by using entropy weight-TOPSIS model. The differences were analyzed from spatial distribution, temporal characteristics and provincial levels, and the obstacle factor diagnosis model was used to explore the main obstacle factors affecting the green industrial development in the Yellow River Basin. The results show that the level of industrial green development in the Yellow River Basin shows an over- all upward trend from 2012 to 2021, with the value increasing from 0.378 in 2012 to 0.498 in 2021. The main obstacles to green industrial development in the Yellow River Basin are industrial environmental control and industrial innovation. The main obstacle factors are the proportion of industrial pollution investment in industrial added value, industrial labor productivity, the proportion of industrial wastewater treatment funds in industrial pollution control investment, the number of valid invention patents per household of industrial enterprises above designated size, and the level of innovation capital investment. Finally, the paper put forward some suggestions to improve the level of industrial green development in the Yellow River Basin from three aspects of optimizing industrial structure, strengthening environmental governance and building green innovation system. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 10001379
- Volume :
- 46
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Yellow River
- Publication Type :
- Academic Journal
- Accession number :
- 178407958
- Full Text :
- https://doi.org/10.3969/j.issn.1000-1379.2024.07.002