Issue |
RAIRO-Oper. Res.
Volume 58, Number 3, May-June 2024
|
|
---|---|---|
Page(s) | 2321 - 2337 | |
DOI | https://doi.org/10.1051/ro/2024088 | |
Published online | 10 June 2024 |
Dynamic investment strategies for a folk sports tourism destination under uncertain demand
1
School of Physical Education, University of South China, Hengyang 421001, P.R. China
2
School of Economics, Southwest University of Political Science & Law, Chongqing 400054, P.R. China
* Corresponding author: dk19981430@126.com
Received:
18
May
2024
Accepted:
18
April
2024
More research should shed light on discovering the optimal investment strategy for folk sports tourism destination (FSTD) projects. Therefore, in this paper, we develop a dynamic game model of FSTD considering the dynamic characteristics of FSTD investment, the mode of division of labor and cooperation between public and private operators, and the uncertainty of consumer demand. Public capital is responsible for constructing infrastructures such as venues, and private capital is responsible for services such as catering and accommodation. To promote the development of the FSTD project, the higher-level government subsidizes public investment. Consumer demand for the program is affected by factors such as the size of the two types of capital, the price and quality of services, and demand uncertainty. The study finds that the subsidy leads to an increase in the quantity of public investment and consumption demand, but private sector investment and the prices of both public and private projects are unaffected by the subsidy; the public sector’s net return varies in an inverted U-shape with the rate of subsidy, but the private sector’s net return rises monotonically. Demand disturbances widen the gap in the net returns of operators between the subsidized and unsubsidized scenarios.
Mathematics Subject Classification: 90C05
Key words: Folk sports tourism / investment decision / demand uncertainty / differential game
© The authors. Published by EDP Sciences, ROADEF, SMAI 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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