2. Issues to Be Covered in This Presentation Tourism in China: overview Dominance of the coastal areas in major tourism indicators Implications of regional disparity

3. China’s Inbound Tourism Arrivals(m) Receipts(US$b) Rooms(m) 198622.81.530.15 199651.110.20.59 199972.814.10.89 2000 83.4 16.2 0.95 201098.619.11.20 2020 forecast: 130 mn (-NTA) What implications from these figures?

4. 4 Coastal and Inland China China’s coastal area: three municipalities & nine provinces; the remaining 19 localities are ‘inland’ or ‘interior’

5. 12 coastal localities three municipalities and nine provinces: Liaoning, Hebei, Beijing, Tianjin, Shandong, Jiangsu, Shanghai, Zhejiang, Fujian, Guangdong, Guangxi and Hainan.

6. Proportion of the coastal areas in China’s tourism distribution Receipts arrivals employees rooms 198693.585.783.378.1 199289.584.077.471.2 199884.878.972.970.2 200685805958 20127872535

7. 7 Regional distribution and Gini coefficient Gini: indication of the level of inequality in distribution. 0: complete equality; 1: complete inequality Would Gini get lower as economy grows? Regional convergence or divergence? Gini: indication of the level of inequality in distribution. 0: complete equality; 1: complete inequality Would Gini get lower as economy grows? Regional convergence or divergence?

8. 8 Trends over 28 years

9. Interpreting the figures Decreasing Gini coefficient for tourism distribution in China Increase in both real term and proportion for major indicators for tourism in inland China Improvement in infrastructure and tourist facilities in inland Growth of nature based tourism Encouraging domestic tourism Regional convergence in tourism versus divergence in the general economy