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Exploring Evaluation of Enterprise Economic Benefits Using Big Data.

Xiaoqian Liu1, Yujia Li2

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This study enhances Chinese enterprise economic benefit evaluation using big data, improving sustainable production. Big data analysis reveals insights into power company profitability, solvency, and social contributions, aiding future assessments.

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Area of Science:

  • Business and Economics
  • Data Science
  • Energy Sector Analysis

Background:

  • Existing economic benefit evaluation systems for Chinese enterprises require enhancement.
  • Big data presents opportunities to improve enterprise economic benefit evaluation and promote sustainable production.
  • The power supply sector in China faces unique challenges in economic assessment and sustainable development.

Purpose of the Study:

  • To develop and implement an improved economic benefit evaluation system for Chinese enterprises, focusing on the power supply sector.
  • To leverage big data analytics for a more accurate and comprehensive assessment of enterprise economic performance.
  • To promote sustainable enterprise production through advanced evaluation and prediction models.

Main Methods:

  • Construction of an enterprise economic benefit model based on theoretical frameworks.
  • Application of a comprehensive Grey Model (GM) with improved weighting for economic benefit evaluation.
  • Utilization of a Least Mean Square (LMS) neural network (NN) algorithm for power consumption prediction and sustainable development assessment.

Main Results:

  • Joint-stock power companies exhibit high profitability (around 90) and solvency (around 100).
  • State-owned power supply enterprises demonstrate the strongest social contribution.
  • Big data-driven power consumption predictions for 2020 showed consistency with growth trends, despite minor data errors.

Conclusions:

  • The big data-based audit method is effective for evaluating enterprise economic benefits.
  • Private and joint-stock power companies show higher profits, while state-owned enterprises excel in social contribution.
  • The study provides a valuable reference for future economic benefit evaluations and sustainable development strategies in enterprises.