Research on Export Toughness of Shandong Textile Industry Based on Data Analysis and Model Testing
- DOI
- 10.2991/978-94-6463-030-5_87How to use a DOI?
- Keywords
- Data Analysis; Textile Industry; Export Toughness
- Abstract
In the context of big data, this paper takes the export toughness of the textile industry in Shandong Province as an example, and deeply discusses the application of data analysis in social and economic development. On the basis of constructing the theoretical logic of optimizing the evaluation of the export toughness level of the textile industry in Shandong Province, the operation data of the textile industry is collected and monitored. After normalizing the data and processing the entropy value, the entropy method is used to measure the export toughness. In the empirical analysis, a model of factors affecting the export toughness of the textile industry is established. And an empirical model is obtained through autocorrelation and heteroskedasticity correction. The study found that, compared with the traditional evaluation model, data analysis can improve the quality and efficiency of evaluation.
- 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 - Xiaonan Fan AU - Xinyuan Lu AU - Minghua Dai PY - 2022 DA - 2022/12/20 TI - Research on Export Toughness of Shandong Textile Industry Based on Data Analysis and Model Testing BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 876 EP - 884 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_87 DO - 10.2991/978-94-6463-030-5_87 ID - Fan2022 ER -