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 i GDP j ) | 465 | 5.73532 | 13.62832 | 10.70744 | 1.43231 |
ln(GDPPC i GDPPC 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 |