China’s spatial (dis)integration as a multiethnic paradox: what do the interprovincial data say?

Guo, Rongxing

doi:10.1186/s40589-015-0025-4

China Finance and Economic Review

Table 3 Descriptive statistics for the data on selected variables, 2010

From: China’s spatial (dis)integration as a multiethnic paradox: what do the interprovincial data say?

Variable	N	Minimum	Maximum	Mean	SD
ln(TRADE_ij)	452	2.30259	12.62984	6.95446	1.76181
ln(GDP_iGDP_j)	465	8.83243	16.76316	13.75672	1.38476
ln(GDPPC_iGDPPC_j)	465	19.15152	22.40275	20.60043	0.62203
ln(DISTANCE_ij)	465	4.91998	8.75037	7.47203	0.64053
ETHNIC56_ij	465	0.08280	0.99870	0.75979	0.24414
k = 1. Bai	465	0.00000	0.00526	0.00005	0.00027
k = 2. Blang	465	0.00000	0.00016	0.00000	0.00001
k = 3. Buyi	465	0.00001	0.00231	0.00007	0.00016
k = 4. Dai	465	0.00000	0.00011	0.00001	0.00002
k = 5. Daur	465	0.00000	0.00105	0.00001	0.00005
k = 6. Dong	465	0.00001	0.01301	0.00013	0.00076
k = 7. Dongxiang	465	0.00000	0.00282	0.00002	0.00015
k = 8. Gelao	465	0.00000	0.00033	0.00001	0.00003
k = 9. Han	465	0.08176	0.99660	0.75070	0.24660
k = 10. Hani	465	0.00000	0.00014	0.00001	0.00001
k = 11. Hui	465	0.00020	0.14827	0.00356	0.00865
k = 12. Jingpo	465	0.00000	0.00002	0.00000	0.00000
k = 13. Kazak	465	0.00000	0.00071	0.00002	0.00004
k = 14. Kirgiz	465	0.00000	0.00089	0.00000	0.00004
k = 15. Korean	465	0.00001	0.00856	0.00013	0.00058
k = 16. Lahu	465	0.00000	0.00003	0.00000	0.00000
k = 17. Li	465	0.00001	0.00396	0.00003	0.00018
k = 18. Lisu	465	0.00000	0.00026	0.00001	0.00001
k = 19. Manchu	465	0.00011	0.03156	0.00111	0.00378
k = 20. Maonan	465	0.00000	0.00080	0.00000	0.00004
k = 21. Miao	465	0.00005	0.03136	0.00088	0.00296
k = 22. Mongol	465	0.00005	0.01774	0.00056	0.00157
k = 23. Mulao	465	0.00000	0.00073	0.00001	0.00003
k = 24. Naxi	465	0.00000	0.00038	0.00000	0.00002
k = 25. Qiang	465	0.00000	0.00005	0.00001	0.00001
k = 26. Salar	465	0.00000	0.00053	0.00001	0.00003
k = 27. She	465	0.00000	0.00306	0.00004	0.00021
k = 28. Shui	465	0.00000	0.00029	0.00001	0.00003
k = 29. Tibetan	465	0.00002	0.24438	0.00080	0.01149
k = 30. Tu	465	0.00000	0.00120	0.00003	0.00007
k = 31. Tujia	465	0.00006	0.04210	0.00079	0.00438
k = 32. Uygur	465	0.00001	0.00036	0.00004	0.00003
k = 33. Va	465	0.00000	0.00006	0.00001	0.00001
k = 34. Xibe	465	0.00000	0.00158	0.00001	0.00008
k = 35. Yao	465	0.00001	0.01086	0.00011	0.00064
k = 36. Yi	465	0.00002	0.03288	0.00027	0.00220
k = 37. Zhuang	465	0.00005	0.02644	0.00031	0.00141

Definitions of the variables shown in this table are given in the text
N number of observations, and SD standard deviation

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