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

<p>In this paper, firstly, according to the conditions of the growth of the tourism industry in the whole region and the requirements of the growth mechanism, the time sequence of the growth of the tourism industry in the whole region is divided into three phases: the initial start-up phase, the mid-growth phase and the late maturity phase, and puts forward the strategy of the growth of the tourism industry in the whole region. Then, on the basis of the transfer matrix model, according to the law of tourism industry development to determine the tourism industry’s independent variable power function, considering the impact of economic policy and monetary policy on the development of the tourism industry, the need to eliminate the direct effect of the tourism industry independent variable, and then construct the transfer matrix based on the spatial distribution of the tourism industry analytical model and hierarchical system analytical model, and the whole region of the tourism industry in Hubei Province for example research and analysis. The results show that on the model analysis, the prediction accuracy of VM and FM varies among five different groups: purchase>tour> food>travel>housing. In the tourism industry, the correlation coefficient between “food and beverage, accommodation, shopping and entertainment” is around 0.95. This study not only contributes to the green and sustainable development of China’s tourism industry but also is an important step in promoting the construction of ecological civilization.</p>
</abstract>

In this paper, firstly, according to the conditions of the growth of the tourism industry in the whole region and the requirements of the growth mechanism, the time sequence of the growth of the tourism industry in the whole region is divided into three phases: the initial start-up phase, the mid-growth phase and the late maturity phase, and puts forward the strategy of the growth of the tourism industry in the whole region. Then, on the basis of the transfer matrix model, according to the law of tourism industry development to determine the tourism industry’s independent variable power function, considering the impact of economic policy and monetary policy on the development of the tourism industry, the need to eliminate the direct effect of the tourism industry independent variable, and then construct the transfer matrix based on the spatial distribution of the tourism industry analytical model and hierarchical system analytical model, and the whole region of the tourism industry in Hubei Province for example research and analysis. The results show that on the model analysis, the prediction accuracy of VM and FM varies among five different groups: purchase>tour> food>travel>housing. In the tourism industry, the correlation coefficient between “food and beverage, accommodation, shopping and entertainment” is around 0.95. This study not only contributes to the green and sustainable development of China’s tourism industry but also is an important step in promoting the construction of ecological civilization.

Mechanisms and Strategies for the Growth of Territorial Tourism Industry under the Transfer Matrix Model

Applied Mathematics and Nonlinear Sciences

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

In this paper, firstly, according to the conditions of the growth of the tourism industry in the whole region and the requirements of the growth mechanism, the...

Mechanisms and Strategies for the Growth of Territorial Tourism Industry under the Transfer Matrix Model

Data publikacji: 20 lis 2023

Zakres stron: -

Otrzymano: 28 lut 2023

Przyjęty: 31 maj 2023

DOI: https://doi.org/10.2478/amns.2023.2.01179

Słowa kluczowe
Transfer matrix model, Independent variables, Power function, Tourism industry, Growth mechanism

© 2023 Yueming Chen, published by Sciendo

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

Mechanisms and Strategies for the Growth of Territorial Tourism Industry under the Transfer Matrix Model

Data publikacji: 20 lis 2023

Zakres stron: -

Otrzymano: 28 lut 2023

Przyjęty: 31 maj 2023

DOI: https://doi.org/10.2478/amns.2023.2.01179

Słowa kluczoweTransfer matrix model, Independent variables, Power function, Tourism industry, Growth mechanism

© 2023 Yueming Chen, published by Sciendo

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

Słowa kluczowe
Transfer matrix model, Independent variables, Power function, Tourism industry, Growth mechanism