Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
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Article Number | 01008 | |
Number of page(s) | 11 | |
Section | Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202340901008 | |
Published online | 01 August 2023 |
Analysis of Tuojiang River Basin’s Green Development Level and Difference Based on PSR Model
1 Business School, Sichuan University, Chengdu, Sichuan, 610064, People’ Republic of China
2 GSAS of Columbia University, New York, 10027, United States
3 Economics and Management School, Wuhan University, Wuhan, Hubei, 430061, People’ Republic of China
4 Institute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing, 100089, People’ Republic of China
* e-mail: xjinjin123@163.com
Since the the policy that, building a beautiful Sichuan and Tuojiang River green development economic belt has been launched, the Tuojiang River Basin has become one of the most important river basins in Sichuan. Building the Tuojiang River Basin as a pioneer area for green development is of vital significance. This paper selected five cities as the research objects, which are Zigong, Luzhou, Deyang, Neijiang, and Ziyang. Firstly, the paper analyzed the factors affecting the green development of the Tuojiang River Basin, and then combined the PSR model with the “economy-society-resources-nature” indicators to construct a green development indicator system suitable for the Tuojiang River Basin. After that, the entropy weight-grey relational analysis and spatial autocorrelation analysis were used to analyze the green development evaluation system. The results show that average green development levels of Zigong, Luzhou, Deyang, Neijiang and Ziyang are 0.7263, 0.8498, 0.4357, 0.6890 and 0.6856 respectively. Through the spatial analysis, the Moran’s I is 0.104, indicating a significant positive spatial correlation of green development in the Tuojiang River Basin. And the green development level of Ziyang belongs to the high-low agglomeration type. The rest of the areas are not significantly aggregated, and finally suggestions were proposed for improvement.
Key words: Environmental assessments / River basin projects / PSR model / Entropy weightgrey relational method / Spatial distribution
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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