Assessing and Forecasting Sinopec's Sustainability through ESG Performance: A Combined Approach integrating TOPSIS, GM (1,1), and Pearson Analysis

DOI

10.2991/978-94-6463-447-1_48How to use a DOI?

Keywords

ESG; sustainability; TOPSIS model; GM (1,1) model; Pearson

Abstract

A company's performance in the Environmental, Social, and Governance (ESG) domains serves not only as a key indicator for evaluating its overall operations but also has an intricate and complex association with its sustainable development capabilities. This study constructs a comprehensive model that integrates the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model, Pearson's correlation analysis, and the grey prediction GM (1,1) model to quantitatively assess and visually present the ESG practices of Sinopec, a leading petrochemical company in China. The model reveals the company's performance across dimensions such as environmental, social, governance, and overall sustainability while delving into the intrinsic relationship between ESG performance and corporate sustainable development. The results indicate a strong correlation between the Environmental (E) indicator and sustainable development indicators, a weaker correlation between the Governance (G) indicator and sustainable development indicators, and interconnections between the Social (S) indicator and both E and G indicators. Furthermore, based on historical data, the study forecasts Sinopec's financial condition and ESG development trends for the next decade, with predictions showing that Sinopec will continue to be profitable, and that sustainable development and G indicators will continue to improve over the next ten years. The research also proposes a series of strategic recommendations aimed at enhancing corporate transparency and operational efficiency to achieve sustainable development.

Copyright

© 2024 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.

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TY  - CONF
AU  - Zening Piao
AU  - Yujing Zhao
AU  - Xiangyu Wang
PY  - 2024
DA  - 2024/07/14
TI  - Assessing and Forecasting Sinopec's Sustainability through ESG Performance: A Combined Approach integrating TOPSIS, GM (1,1), and Pearson Analysis
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 464
EP  - 471
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_48
DO  - 10.2991/978-94-6463-447-1_48
ID  - Piao2024
ER  -