Model Construction and Empirical Study of China's Automobile Industry and Entrepreneur Confidence Index

DOI

10.2991/978-94-6463-102-9_122How to use a DOI?

Keywords

Automobile industry; Confidence index; Analytic hierarchy process; Model

Abstract

At present, our country's automobile industry is facing the influence and challenges of many factors such as changes in the international environment and rising raw material prices. The development situation is full of uncertainties. Existing data and evaluation methods are difficult to accurately predict the development prospects of the industry, so it is necessary to build a set of research and evaluation models based on the confidence of the auto industry and entrepreneurs. By analyzing the key factors that restrict the development of the automobile industry, this paper constructs a confidence evaluation system for the automobile industry covering 3 first-level indicators and 12 second-level indicators. Invite industry experts and enterprises to compare and score the weights of the indicators one by one, and obtain the confidence index model after calculation with the help of the analytic hierarchy process. At the same time, extensive industry research work was carried out, and the results of the first phase of confidence index analysis were output to verify the accuracy of the model.

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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TY  - CONF
AU  - Xudong Li
AU  - Peiwen Zuo
AU  - Wenzhuo Wang
PY  - 2022
DA  - 2022/12/29
TI  - Model Construction and Empirical Study of China's Automobile Industry and Entrepreneur Confidence Index
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1183
EP  - 1190
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_122
DO  - 10.2991/978-94-6463-102-9_122
ID  - Li2022
ER  -