Enhancing rural B&B management through machine learning and evolutionary game: A case study of rural revitalization in Yunnan, China.

The rural B&B industry is a key component of rural tourism, local economic development, and the wider rural revitalization strategy. Despite the abundance of tourism resources in Yunnan, the B&B sector faces significant challenges. It is therefore imperative to accurately identify the most pressing issues within the current B&B industry and formulate appropriate solutions to advance Yunnan's rural revitalization efforts. This study uses recent reviews of rural B&Bs on Ctrip.com and employs machine learning techniques, including Bert, CNN, LSTM, and GRU, to identify the key management challenges currently facing Yunnan's rural B&B industry. An analysis is then conducted to identify the key stakeholders involved in the process of improving the management of Yunnan's B&Bs. To assess the willingness of each stakeholder to support the improvement of the rural B&B industry, this paper establishes a three-party evolutionary game model and examines the dynamic evolutionary process of management improvement within Yunnan's rural B&B industry. Two scenarios of evolutionarily stable strategies are analyzed, and parameters impacting stakeholders' strategy choices are simulated and evaluated. The results show that: i) Improving the "human factor" is the top priority for the current management improvement because tourists are most concerned about the emotional experience. Operators need to focus on improving service attitude and emotional experience; ii) The main stakeholders in the current management optimization process of Yunnan B&Bs are the local government, B&B operators, and tourists. Under appropriate conditions, the evolutionarily stable strategy of (1, 1, 1) is reachable. iii) variables such as additional costs, tourists' choice preferences, and government penalties significantly affect the strategy choices of stakeholders, especially B&B operators. This paper offers effective strategies for improving B&B management that can benefit the government, B&B operators, and tourists, and ultimately contribute to the promotion of quality rural revitalization. The paper not only identifies focal areas for improving B&B management in rural Yunnan, but also provides an in-depth understanding of stakeholder dynamics. As a result, it provides valuable insights to further the cause of quality rural revitalization.

A tripartite game analysis of industrial structure upgrading and green development of regional economy: A case study of Shanxi Province, China.

In the contemporary context, both the upgrading of the industrial structure and the implementation of environmentally sustainable practices within the regional economy have emerged as central avenues for achieving quality development. This study examines the strategic behavior of local governments, capital, and people through the construction of a tripartite evolutionary game model. Subsequently, six different evolutionary stable strategy (ESS) are subjected to a comprehensive analysis. Finally, the parameters influencing the strategic decisions of each party are meticulously examined through simulation. The results of this study can be summarized as follows: First, it is shown that under appropriate conditions, all three entities support the scenario of stable development prospects associated with industrial structure upgrading (1, 1, 1). Second, the strategic choices made by capital and people depend on several factors, including existing profits, future benefits, and the costs associated with transformation. At the same time, local governments show a propensity to adopt incentive strategies. Ultimately, the research underscores the pronounced impact of future benefits, transformation costs, and the probability of success in industrial upgrading on all stakeholders, shaping their evolutionary trajectories and results. In particular, the probability of successful industrial structure upgrading exerts the greatest influence on evolutionary trajectories, while the possibility of government imposing carbon taxes and initial willingness primarily determine the evolutionary trajectory. This paper attempts to provide a new perspective on industrial structure upgrading and green development of the regional economy by combining evolutionary game theory and scenario analysis methods to promote the process of industrial structure upgrading and sustainable development.