Research on Industrial Structure Optimization of Chongqing Under Low-Carbon Economy
- DOI
- 10.2991/978-94-6463-016-9_23How to use a DOI?
- Keywords
- Chongqing; industrial structure; low carbon economy; grey relational model
- Abstract
Low-carbon economy has become the only way for sustainable development in China, Low-carbon economy promotes and realizes the optimization of industrial structure has become a hot research. This paper selects eight indicators in Chongqing from 2011 to 2020: energy intensity, the province’s forest coverage rate, comprehensive utilization rate of industrial solid waste, total energy consumption, industrial structure upgrading index, total output value of the three major industries, R&D Internal expenditure of funds, total retail sales of consumer goods. Based on the perspective of low-carbon economy, the gray correlation model is used to study the correlation between seven evaluation items and the industrial structure upgrading index, and provide analysis reference based on the correlation. The study found that in the past 10 years, the highest correlation between the industrial structure upgrading index and the comprehensive utilization rate of industrial solid waste was 0.917. Based on this, several suggestions were put forward for the optimization of Chongqing’s industrial structure.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Chunmei Liu AU - Wen Bao PY - 2022 DA - 2022/12/07 TI - Research on Industrial Structure Optimization of Chongqing Under Low-Carbon Economy BT - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022) PB - Atlantis Press SP - 187 EP - 197 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-016-9_23 DO - 10.2991/978-94-6463-016-9_23 ID - Liu2022 ER -