<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the successful bidding for the 2022 Beijing Winter Olympics, the ice and snow sports tourism industry has received extensive attention from society. In this paper, under the background of the integration of sports and tourism, we construct an efficiency assessment system for the ice and snow sports tourism industry and then use the entropy value method and coefficient of variation method to improve the DEA model and construct a combination-weighted SE-SBM model to explore the operational and developmental efficiency value of the ice and snow sports tourism industry. In addition, considering the changes in regional industrial productivity over time, the Malmquist index model is utilized to respond to the dynamic development efficiency of the ice and snow sports tourism industry. Finally, the development efficiency of the ice and snow sports tourism industry is analyzed based on the panel data of some regions in China from 2014-2023, in which the mean value of the development efficiency of Jilin and Heilongjiang reaches 1.22778. Among the influencing factors, the value of weight gained from expanding consumption is 0.5426, which is greater than that of the other three factors. This study proposes that expanding consumption is the key to promoting the development of the ice and snow sports tourism industry.</p>
</abstract>

With the successful bidding for the 2022 Beijing Winter Olympics, the ice and snow sports tourism industry has received extensive attention from society. In this paper, under the background of the integration of sports and tourism, we construct an efficiency assessment system for the ice and snow sports tourism industry and then use the entropy value method and coefficient of variation method to improve the DEA model and construct a combination-weighted SE-SBM model to explore the operational and developmental efficiency value of the ice and snow sports tourism industry. In addition, considering the changes in regional industrial productivity over time, the Malmquist index model is utilized to respond to the dynamic development efficiency of the ice and snow sports tourism industry. Finally, the development efficiency of the ice and snow sports tourism industry is analyzed based on the panel data of some regions in China from 2014-2023, in which the mean value of the development efficiency of Jilin and Heilongjiang reaches 1.22778. Among the influencing factors, the value of weight gained from expanding consumption is 0.5426, which is greater than that of the other three factors. This study proposes that expanding consumption is the key to promoting the development of the ice and snow sports tourism industry.

Research on the High Quality Development of Ice and Snow Sports Tourism Industry under the Integration of Sports and Tourism

Yunnan University of Finance and Economics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the successful bidding for the 2022 Beijing Winter Olympics, the ice and snow sports tourism industry has received extensive attention from society. In...

Research on the High Quality Development of Ice and Snow Sports Tourism Industry under the Integration of Sports and Tourism

Published Online: May 22, 2024

Page range: -

Received: Jan 26, 2024

Accepted: Apr 03, 2024

DOI: https://doi.org/10.2478/amns-2024-1211

Keywords
Dea model, Se-sbm model, Malmquist index model, Body-travel integration

© 2024 Ming Gao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the High Quality Development of Ice and Snow Sports Tourism Industry under the Integration of Sports and Tourism

Published Online: May 22, 2024

Page range: -

Received: Jan 26, 2024

Accepted: Apr 03, 2024

DOI: https://doi.org/10.2478/amns-2024-1211

KeywordsDea model, Se-sbm model, Malmquist index model, Body-travel integration

© 2024 Ming Gao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Dea model, Se-sbm model, Malmquist index model, Body-travel integration