Exploring Economic Development Trends Through Entropy Analysis
- DOI
- 10.2991/978-94-6463-260-6_16How to use a DOI?
- Keywords
- economy; entropy; industry; time-series
- Abstract
This paper aims to explore the economic development trends by analyzing the potential information contained in entropy values. The study focuses on three industries and examines the timeline of entropy values to understand their development patterns. Initially, the GDP data of subsectors within the three industries are selected as the research objects. Entropy values for the GDP of these subsectors are then calculated for all available years, resulting in a time series of entropy values. The paper proceeds by analyzing the patterns of entropy values within a given year across different subsectors and within a given subsector across different years. The obtained results indicate the effectiveness of national economic policies, the narrowing differences within the first industry across regions, reflecting the determination to build a robust agricultural nation, and the increasing market competition in other industries. Additionally, the financial industry and wholesale and retail trade exhibit the highest market levels, indicating the continuous formation of strongholds in these two sectors.
- 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.
Cite this article
TY - CONF AU - Zhengjie Zang PY - 2023 DA - 2023/09/28 TI - Exploring Economic Development Trends Through Entropy Analysis BT - Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023) PB - Atlantis Press SP - 123 EP - 130 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-260-6_16 DO - 10.2991/978-94-6463-260-6_16 ID - Zang2023 ER -