Evolutionary game analysis of land income distribution in tourism development
Bibliographic Data
| ID | 21689692 |
|---|---|
| Authors | Qin Pang (0000-0003-4774-8983, Sun Yat-sen University), Mu Zhang (0000-0002-7228-4466, Jinan University, corresponding author), Zhang Mu (Jinan University) |
| Year | 2021 |
| Volume | 27 |
| Issue | 4 |
| Pages | 670-687 |
| Publication date | 2021-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Tourism Economics (JOURNAL) |
| Journal identifiers | ISSN: 1354-8166 • E-ISSN: 2044-0375 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/1354816619898078 |
| OpenAlex | W2998794862 |
| Language | EN |
| Citations received | 8 |
| References cited | 51 |
Social stability is the key to the sustainable development of tourism destinations. And reasonable distribution of land revenue during tourism development can effectively avoid social conflicts at these destinations. This study explores the dynamic nature and stabilization of land revenue distribution for tourism development. It does so by developing an evolutionary game model. In this model, the main stakeholders include the government, developers and local communities, and analysis of the model indicates that the process of distributing land revenue is profoundly influenced by land transfer methods. Specifically, a developer chooses land transfer methods by weighing the land cost (consisting of land prices and taxes) or the benefit under non-cooperation with different land transfer methods. Meanwhile, the local community chooses whether to cooperate by considering the land income (consisting of land prices) or non-cooperative benefits. With different game sequences, the stakeholders will consider different conditions. Moreover, government taxation and subsidization policies are found to have little influence on the land transfer market in the long run. Instead, to avoid potential conflicts and social instability, the government should provide a good political environment for community participation. This study offers important implications for policymaking involving land income distribution for tourism destinations
Business · Economics · Geography · Government revenue · Income distribution · Land development · Land use · Local government · Market economy · Natural resource economics · Public economics · Revenue · Subsidy · Sustainable development · Tourism · Diverse Aspects of Tourism Research · Economic theories and models · Experimental Behavioral Economics Studies · Ecology · Finance
The multi-player evolutionary game analysis for the protective development of ecotourism
The Regime of Rural Ecotourism Stakeholders in Poverty-Stricken Areas of China
Tourism and rural income inequality
The nonlinear effects of tourism on rural income inequality and urban–rural income inequality
Revisiting the Relationship Between Tourism and Crime Based on a Dynamic Spatial Durbin Model
Collaborative dynamics in recreational vehicle campsite management
Vegetation carbon sequestration at tourist sites
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Can Redistributive Reform be Achieved via Market-Based Voluntary Land Transfer Schemes? Evidence and Lessons from the Philippines
Participation in Heterogeneous Communities
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Planning for the Future
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The roles of land tenure reforms and land markets in the context of population growth and land use intensification in Africa
Land rental markets in transition
Land owners’ perception of land consolidation and their satisfaction with the results – Slovenian experiences
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The Learning Tourism Destination
Expected nature of community participation in tourism development
Limits to community participation in the tourism development process in developing countries
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Truths and myths about community participation in post-disaster housing projects
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Community Participation in the Real World
Citizen Participation in Decision Making
Linking tourism to the sustainable development goals
Subjective Well-Being of Chinese Landless Peasants in Relatively Developed Regions
| Unique citing works | 8 |
|---|---|
| Citations per year | 1,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |