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Spearman correlation data analysis of domestic residents' per capita disposable income and domestic tourism per capita consumption

Published: 05 May 2023 Publication History

Abstract

Tourism consumption can not only meet the tourism needs of domestic residents but also is the driving force of the tourism economy. There is a subtle relationship between income and consumption. Affected by the epidemic, the consumption concepts and behaviors of domestic residents have changed. This paper collects the data of per capita disposable income of domestic residents and per capita consumption of tourism, the spearman correlation coefficient to analyze the correlation between per capita disposable income and tourism consumption, and proposes to improve the consumer confidence index through the normalized management of the epidemic, the integration of artificial intelligence and cultural tourism, the improvement of the quality of tourist attractions, the support of government financial policies, and the improvement of social security system under the background of the epidemic, thereby achieving a recovery in the tourism industry.

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EBIMCS '22: Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science
December 2022
396 pages
ISBN:9781450397827
DOI:10.1145/3584748
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 May 2023

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Author Tags

  1. Spearman
  2. artificial intelligence
  3. data analysis
  4. disposable income
  5. tourism consumption

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Overall Acceptance Rate 143 of 708 submissions, 20%

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