Research on Coupling and Coordinated Development of Energy Industry in Anhui Province, China, Based on the TOPSIS Model

Authors

  • Xiao Qian Liu Guangdong Baiyun University
  • Benjamin Chan Yin Fah Universiti Tun Abdul Razak (UNIRAZAK)

Keywords:

Coupling model, Ecological environment, Economics, Coordinated development

Abstract

The economic development and ecological status of various regions in Anhui Province from 2020 to 2022 were analyzed by using the synergetic optimization model, and the synergetic coordination among regions was analyzed by using the TOPSIS model. The analysis shows that the economic development and the coordinated scheduling of the ecosystem in Anhui province show an obvious optimization trend on the whole. The coordinated scheduling is mainly between 0.282 and 0.654, which is a better or worse coordinated coordinated scheduling on the whole. The ecological status indicators of each region are significantly higher than that of other regions. The degree of coupling and coordination between the provincial capital cities and the south of the Yangtze River is higher than that between the Huaihe River and the north of the Huaihe River. Through improvement, the coordinated management of economy and environment can be improved, and the emission of "three wastes", environmental quality and environmental pollution control capacity can be improved.

References

Wang Y , Nie L . Construction and Application of Coupling Coordination Degree Model between Key Specialty Group and Regional Industrial Clusters in Private Colleges and Universities in Hubei Province[C]// 0.

Zhao L , Liu Y , Chen L , et al. Evaluation of Coordination and Coupling Degree of Cross-Regional Influence of the Construction Industry Based on Regional Economic Factors: A Case Study of Beijing, Capital of China[J]. Discrete Dynamics in Nature and Society, 2021.

Shi P F , Xing-Ming L I , Xiong Y B . Coupling Measurement and Prospect Forecast of Regional "Beautiful China" Construction and Tourism Industry Development——A Case Study of 11 Provinces along the Yangtze River Economic Belt[J]. China Soft Science, 2021.

Zuo Z , Guo H , Cheng J , et al. How to achieve new progress in ecological civilization construction? – Based on cloud model and coupling coordination degree model[J]. Ecological Indicators, 2021, 127(1):107789.

Qianqian L , Zhaohui D , Likun Z , et al. Analysis on coordinated development of prefabricated construction industry, regional economy and ecological environment——taking Beijing-Tianjin-Hebei region as an example[J]. IOP Conference Series: Earth and Environmental Science, 2022, 371(2):022006 (10pp).

Liu J, Tian Y, Huang K, et al. Spatial-temporal differentiation of the coupling coordinated development of regional energy-economy-ecology system: A case study of the Yangtze River Economic Belt[J]. Ecological Indicators, 2021, 124: 107394.

Wang M, Zhao X, Gong Q, et al. Measurement of regional green economy sustainable development ability based on entropy weight-topsis-coupling coordination degree—A case study in Shandong Province, China[J]. Sustainability, 2019, 11(1): 280.

Ding S, Li R, Guo J. An entropy-based TOPSIS and optimized grey prediction model for spatiotemporal analysis in strategic emerging industry[J]. Expert Systems with Applications, 2023, 213: 119169.

Wang S, Hua G, Yang L. Coordinated development of economic growth and ecological efficiency in Jiangsu, China[J]. Environmental Science and Pollution Research, 2020, 27: 36664-36676.

Dong F, Li W. Research on the coupling coordination degree of “upstream-midstream-downstream” of China’s wind power industry chain[J]. Journal of Cleaner Production, 2021, 283: 124633.

Downloads

Published

19-12-2023

How to Cite

Liu, X. Q., & Benjamin Chan Yin Fah. (2023). Research on Coupling and Coordinated Development of Energy Industry in Anhui Province, China, Based on the TOPSIS Model. International Journal of Management, Accounting, Governance and Education , 3(2), 41–49. Retrieved from https://ojs.unirazak.edu.my/index.php/image/article/view/79

Issue

Section

Articles

Most read articles by the same author(s)