Evaluation of China's Renewable Energy Development Level under the Concept of Green Development Based on Coordination Degree Model
- DOI
- 10.2991/978-94-6463-042-8_142How to use a DOI?
- Keywords
- Green development; Renewable energy; Coordination Degree Model
- Abstract
Under the concept of green development, the development of renewable energy needs to be coordinated with the economic and environmental systems. This paper has evaluated the development level of renewable energy in China from 2010 to 2018. For this purpose, a renewable energy-economy-environment coordination degree model has been carried out based on energy-economy-environment system coordination model, and used by the entropy weight method from three levels of total amount, quality and structure. The results show that: the renewable energy development level was an upward trend, and the coordination degree of internal quality of the system fluctuated. Compared with the environment, the binary-coordination degree between renewable energy-economic system was lower, which reflects that the development of renewable energy was greatly affected by economic factors. The overall coordination degree of the ternary-system was high and unstable, indicating that the green development level of renewable energy is not stable enough.
- 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 - Wenjian WU AU - Jingwen Li PY - 2022 DA - 2022/12/29 TI - Evaluation of China's Renewable Energy Development Level under the Concept of Green Development Based on Coordination Degree Model BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 995 EP - 1002 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_142 DO - 10.2991/978-94-6463-042-8_142 ID - WU2022 ER -