Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Multivariate Linear Regression Method Based on SPSS Analysis of the Influencing Factors of Urban Residents’ Exhibition Support

Authors
Xiuli Liu1, *
1Institution of Tourism Management, Wuhan Business University, Wuhan, China
*Corresponding author. Email: Xiuli92@126.com
Corresponding Author
Xiuli Liu
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_41How to use a DOI?
Keywords
Regression Analysis; City Dweller; Exhibition Support; Influence Factor
Abstract

The exhibition industry has gradually become a hot spot driving regional and global economic development. As its participants and beneficiaries, residents’ attitude towards exhibition development largely determines the success of exhibition activities. Therefore, we should fully understand the combination of antecedents and conditions formed by residents’ high-level exhibition support. It is helpful for exhibition operators and managers to formulate effective exhibition development strategies and intervention means. To improve the exhibition support level of local residents. Therefore, based on the theory of tourism development support, combined with the research results and reality of exhibition support, this paper constructs the influencing factor model of exhibition development support, and through spss26. The data collected were analyzed by demographic variable difference analysis and regression analysis. Among the demographic variables, only gender and Exhibition cognition affect exhibition support, and the influence of other influencing factors on exhibition support is as follows: Residents’ perception of positive influencing factors of exhibition > residents’ perception of negative influencing factors of exhibition > cognition of exhibition development potential > participation in exhibition activities > gender > exhibition cognition. Based on this, this paper puts forward research conclusions and suggestions.

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 Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
10.2991/978-94-6463-030-5_41
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_41How 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

risenwbib
TY  - CONF
AU  - Xiuli Liu
PY  - 2022
DA  - 2022/12/20
TI  - Multivariate Linear Regression Method Based on SPSS Analysis of the Influencing Factors of Urban Residents’ Exhibition Support
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 389
EP  - 399
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_41
DO  - 10.2991/978-94-6463-030-5_41
ID  - Liu2022
ER  -