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 2 Descriptive statistics for the data on selected variables, 2000

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)	406	2.99573	11.59910	6.84499	1.36932
ln(GDP_iGDP_j)	465	5.73532	13.62832	10.70744	1.43231
ln(GDPPC_iGDPPC_j)	465	16.19674	20.00507	17.70224	0.69716
ln(DISTANCE_ij)	465	4.91998	8.75037	7.47203	0.64053
ETHNIC56_ij	465	0.06160	0.99930	0.75563	0.24827
k = 1. Bai	465	0.00001	0.00532	0.00004	0.00028
k = 2. Blang	465	0.00000	0.00001	0.00000	0.00000
k = 3. Buyi	465	0.00001	0.00129	0.00005	0.00008
k = 4. Dai	465	0.00000	0.00008	0.00000	0.00001
k = 5. Daur	465	0.00000	0.00120	0.00001	0.00006
k = 6. Dong	465	0.00001	0.01331	0.00011	0.00077
k = 7. Dongxiang	465	0.00000	0.00303	0.00001	0.00015
k = 8. Gelao	465	0.00000	0.00009	0.00001	0.00001
k = 9. Han	465	0.06061	0.99682	0.74690	0.25065
k = 10. Hani	465	0.00000	0.00003	0.00001	0.00001
k = 11. Hui	465	0.00025	0.15621	0.00371	0.00904
k = 12. Jingpo	465	0.00000	0.00001	0.00000	0.00000
k = 13. Kazak	465	0.00000	0.00012	0.00000	0.00001
k = 14. Kirgiz	465	0.00000	0.00004	0.00000	0.00000
k = 15. Korean	465	0.00002	0.01072	0.00013	0.00064
k = 16. Lahu	465	0.00000	0.00002	0.00000	0.00000
k = 17. Li	465	0.00000	0.00159	0.00001	0.00007
k = 18. Lisu	465	0.00000	0.00023	0.00000	0.00001
k = 19. Manchu	465	0.00006	0.03705	0.00118	0.00443
k = 20. Maonan	465	0.00000	0.00089	0.00000	0.00004
k = 21. Miao	465	0.00004	0.03037	0.00069	0.00280
k = 22. Mongol	465	0.00008	0.01789	0.00064	0.00164
k = 23. Mulao	465	0.00000	0.00081	0.00000	0.00004
k = 24. Naxi	465	0.00000	0.00047	0.00000	0.00002
k = 25. Qiang	465	0.00000	0.00004	0.00000	0.00000
k = 26. Salar	465	0.00000	0.00047	0.00000	0.00003
k = 27. She	465	0.00000	0.00372	0.00004	0.00024
k = 28. Shui	465	0.00000	0.00035	0.00001	0.00003
k = 29. Tibetan	465	0.00002	0.22530	0.00074	0.01057
k = 30. Tu	465	0.00000	0.00121	0.00002	0.00006
k = 31. Tujia	465	0.00003	0.04172	0.00066	0.00438
k = 32. Uygur	465	0.00002	0.00027	0.00004	0.00002
k = 33. Va	465	0.00000	0.00005	0.00000	0.00000
k = 34. Xibe	465	0.00000	0.00187	0.00001	0.00009
k = 35. Yao	465	0.00000	0.01114	0.00009	0.00064
k = 36. Yi	465	0.00002	0.02577	0.00022	0.00196
k = 37. Zhuang	465	0.00005	0.02701	0.00025	0.00142

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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