Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

Business Performance Evaluation of Listed Feed Companies under Epidemic Impact- Based on the DEA-Tobit Model

Authors
Chanyuan Zhu1, Zhankui Chen1, *, Jing Peng1, Qingquan Jiang1
1Xiamen University of Technology, 361000, Xiamen, Fujian, China
*Corresponding author. Email: chenzhankui@xmut.edu.cn
Corresponding Author
Zhankui Chen
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_115How to use a DOI?
Keywords
Listed feed enterprises; DEA-Tobit model; Business performance evaluation; Epidemic
Abstract

As a big agricultural country, the development of agriculture is the foundation of China. Meanwhile as a crucial part of Chinese agricultural economy, the steady development of the feed industry is particularly important against the backdrop of the normal development of COVID-19. This paper takes 16 listed feed companies as the research object, and constructs the DEA-Tobit model and evaluates the business performance of them. The results show that, affected by the epidemic, the operating performance of listed feed companies in China presented a downward trend; among the factors affecting business performance, the ratio of technical personnel to total employees had a positive correlation with business performance; the ratio of R&D investment to operating revenue in the first three years was negatively correlated with operating performance, but in 2021, it became positively associated with operating performance. Before the outbreak of the epidemic, the ratio of operating cost to operating revenue had a positive correlation with operating performance, while after the outbreak, the ratio of operating cost to operating revenue had a negative correlation with the company's operating performance.

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.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
978-94-6463-042-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_115How to use a DOI?
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  - Chanyuan Zhu
AU  - Zhankui Chen
AU  - Jing Peng
AU  - Qingquan Jiang
PY  - 2022
DA  - 2022/12/29
TI  - Business Performance Evaluation of Listed Feed Companies under Epidemic Impact- Based on the DEA-Tobit Model
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 808
EP  - 814
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_115
DO  - 10.2991/978-94-6463-042-8_115
ID  - Zhu2022
ER  -