This study aims to explore the process of tourism recovery in the post-COVID-19 period and the role of stakeholders in promoting such a process. Using evolutionary game theory, this study analyzes the behavior interactions and game equilibrium of stakeholders in the development of tourism by constructing an evolutionary game model amongst governments, tourists and tourism enterprises. Then, the influences of different evolution paths and major parameters affecting stakeholders’ strategy selection are discussed. With the aim of illustrating the role of the stakeholders in the tourism sector’s economic recovery under the impact of the coronavirus pandemic, the numerical experiment was conducted using the MATLAB 2016 software. The results show that the development and change of the emergent public health events affect tourism stakeholders’ behavior strategy. Moreover, the strategic choices of each player, including governments, tourism enterprises and tourists, are also constantly evolving at different stages of the pandemic.
This study contributes to understanding the dynamic evolution process of green tourism industry, for which the evaluation system is constructed combining stakeholder theory with the characteristic of green tourism industry. Data from Mainland China from 2011 to 2017 are used to build the evaluation system of green tourism industry. The data are also analyzed comprehensively by applying entropy weighted TOPSIS and geospatial visualization. Following a horizontal comparison between provinces in Mainland China and a longitudinal comparison of the development history of these provinces, results show that the development of green tourism presents regional differences. Developed areas in the eastern region are superior to that in central and western regions in Mainland China. Interestingly, the relationship between green tourism development and the economy is non-linear. Green tourism resources, traffic accessibility, macroeconomic development level, and tourists’ characteristics will affect the development potential of green tourism. Ultimately, this study brings managerial implications to the development of green tourism.
This study contributes to understanding the dynamic evolution process of green tourism industry, for which the evaluation system is constructed combining stakeholder theory with the characteristic of green tourism industry. Data from Mainland China from 2011 to 2017 are used to build the evaluation system of green tourism industry. The data are also analyzed comprehensively by applying entropy weighted TOPSIS and geospatial visualization. Following a horizontal comparison between provinces in Mainland China and a longitudinal comparison of the development history of these provinces, results show that the development of green tourism presents regional differences. Developed areas in the eastern region are superior to that in central and western regions in Mainland China. Interestingly, the relationship between green tourism development and the economy is non-linear. Green tourism resources, traffic accessibility, macroeconomic development level, and tourists’ characteristics will affect the development potential of green tourism. Ultimately, this study brings managerial implications to the development of green tourism.
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