‘Estimating tomorrow's tourist arrivals’: Forecasting the demand for China's tourism using the general-to-specific approach

Business & Economics

• General-to-specific 100%
• Tourists 64%
• Tourism 46%
• China 35%
• Residents 24%
• Tourism Demand 16%
• Word-of-mouth 13%
• Income Level 13%
• Policy Making 12%
• Econometric Models 12%
• Tourism Industry 12%
• Decision Making 12%
• Economic Policy 11%
• Influence Factors 11%
• Canada 10%
• Destination 10%
• Germany 9%
• Empirical Results 9%
• Modeling 8%
• Government 8%
• United States of America 5%
• Costs 5%
• Factors 4%

Social Sciences

• tourist 64%
• Tourism 58%
• demand 47%
• China 41%
• income effect 20%
• resident 19%
• Tourism industry 17%
• econometrics 15%
• market 15%
• Economic Policy 13%
• Federal Republic of Germany 10%
• Canada 9%
• decision making 8%
• costs 7%

Earth & Environmental Sciences

• tourism 62%
• forecasting 53%
• demand 45%
• forecast 24%
• market 16%
• economic policy 15%
• econometrics 13%
• policy making 12%
• income 10%
• decision making 8%
• industry 7%
• policy 7%
• cost 6%
• modeling 4%
• effect 2%