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{com}.
. gtfpch K L= Y: CO2, dmu( Province ) nonr global sav(ex4result,replace)
{res}
The weight vector is (0 0 1 1)
The directional vector is (0 0 Y -CO2)
Total Factor Productivity Change:Luenberger Productivity Index (based on nonrial DDF)
(Row: Row # in the original data; Pdwise: periodwise)
{txt}
{c TLC}{hline 5}{c -}{hline 14}{c -}{hline 4}{c -}{hline 11}{c -}{hline 9}{c -}{hline 9}{c -}{hline 8}{c TRC}
{c |} {res}Row Province id Pdwise TFPCH TECH TECCH {txt}{c |}
{c LT}{hline 5}{c -}{hline 14}{c -}{hline 4}{c -}{hline 11}{c -}{hline 9}{c -}{hline 9}{c -}{hline 8}{c RT}
1. {c |} {res} 2 Anhui 1 2013~2014 -0.0676 -0.2281 0.1605 {txt}{c |}
2. {c |} {res} 3 Anhui 1 2014~2015 0.0214 -0.0597 0.0811 {txt}{c |}
3. {c |} {res} 5 Beijing 2 2013~2014 0.0832 -0.0000 0.0832 {txt}{c |}
4. {c |} {res} 6 Beijing 2 2014~2015 0.1705 0.0000 0.1705 {txt}{c |}
5. {c |} {res} 8 Chongqing 3 2013~2014 0.0175 -0.0564 0.0738 {txt}{c |}
6. {c |} {res} 9 Chongqing 3 2014~2015 0.0178 -0.1079 0.1257 {txt}{c |}
7. {c |} {res} 11 Fujian 4 2013~2014 -0.0378 -0.0947 0.0569 {txt}{c |}
8. {c |} {res} 12 Fujian 4 2014~2015 0.0640 -0.0590 0.1230 {txt}{c |}
9. {c |} {res} 14 Gansu 5 2013~2014 -0.1748 -0.3039 0.1291 {txt}{c |}
10. {c |} {res} 15 Gansu 5 2014~2015 -0.1423 -0.2188 0.0765 {txt}{c |}
11. {c |} {res} 17 Guangdong 6 2013~2014 0.0372 -0.1043 0.1416 {txt}{c |}
12. {c |} {res} 18 Guangdong 6 2014~2015 0.0316 -0.0483 0.0799 {txt}{c |}
13. {c |} {res} 20 Guangxi 7 2013~2014 0.0701 -0.0935 0.1636 {txt}{c |}
14. {c |} {res} 21 Guangxi 7 2014~2015 0.0463 -0.0685 0.1149 {txt}{c |}
15. {c |} {res} 23 Guizhou 8 2013~2014 -0.1899 -0.3070 0.1171 {txt}{c |}
16. {c |} {res} 24 Guizhou 8 2014~2015 -0.1913 -0.2681 0.0767 {txt}{c |}
17. {c |} {res} 26 Hainan 9 2013~2014 -0.0770 -0.1506 0.0736 {txt}{c |}
18. {c |} {res} 27 Hainan 9 2014~2015 -0.0974 -0.2098 0.1124 {txt}{c |}
19. {c |} {res} 29 Hebei 10 2013~2014 -0.0842 -0.2057 0.1215 {txt}{c |}
20. {c |} {res} 30 Hebei 10 2014~2015 -0.0754 -0.1438 0.0684 {txt}{c |}
21. {c |} {res} 32 Heilongjiang 11 2013~2014 -0.0189 -0.1510 0.1321 {txt}{c |}
22. {c |} {res} 33 Heilongjiang 11 2014~2015 0.0066 -0.0513 0.0579 {txt}{c |}
23. {c |} {res} 35 Henan 12 2013~2014 -0.0239 -0.1969 0.1731 {txt}{c |}
24. {c |} {res} 36 Henan 12 2014~2015 0.0449 -0.0597 0.1046 {txt}{c |}
25. {c |} {res} 38 Hubei 13 2013~2014 -0.0002 -0.0640 0.0638 {txt}{c |}
26. {c |} {res} 39 Hubei 13 2014~2015 -0.0045 -0.1038 0.0993 {txt}{c |}
27. {c |} {res} 41 Hunan 14 2013~2014 0.0227 -0.0417 0.0644 {txt}{c |}
28. {c |} {res} 42 Hunan 14 2014~2015 -0.0449 -0.1487 0.1037 {txt}{c |}
29. {c |} {res} 44 Jiangsu 15 2013~2014 0.0605 -0.0053 0.0657 {txt}{c |}
30. {c |} {res} 45 Jiangsu 15 2014~2015 0.0831 -0.0268 0.1100 {txt}{c |}
31. {c |} {res} 47 Jiangxi 16 2013~2014 0.0129 -0.1216 0.1345 {txt}{c |}
32. {c |} {res} 48 Jiangxi 16 2014~2015 -0.0358 -0.1499 0.1141 {txt}{c |}
33. {c |} {res} 50 Jilin 17 2013~2014 0.0620 -0.1153 0.1773 {txt}{c |}
34. {c |} {res} 51 Jilin 17 2014~2015 0.1629 0.0191 0.1438 {txt}{c |}
35. {c |} {res} 53 Liaoning 18 2013~2014 0.0780 -0.1039 0.1820 {txt}{c |}
36. {c |} {res} 54 Liaoning 18 2014~2015 0.1291 0.0198 0.1092 {txt}{c |}
37. {c |} {res} 56 Neimenggu 19 2013~2014 0.0528 -0.1069 0.1598 {txt}{c |}
38. {c |} {res} 57 Neimenggu 19 2014~2015 0.1649 0.0329 0.1320 {txt}{c |}
39. {c |} {res} 59 Ningxia 20 2013~2014 -0.3604 -0.4801 0.1197 {txt}{c |}
40. {c |} {res} 60 Ningxia 20 2014~2015 0.0329 -0.0555 0.0884 {txt}{c |}
41. {c |} {res} 62 Qinghai 21 2013~2014 -0.1070 -0.2903 0.1833 {txt}{c |}
42. {c |} {res} 63 Qinghai 21 2014~2015 0.0362 -0.1169 0.1531 {txt}{c |}
43. {c |} {res} 65 Shaanxi 22 2013~2014 -0.1201 -0.2856 0.1655 {txt}{c |}
44. {c |} {res} 66 Shaanxi 22 2014~2015 -0.0245 -0.1140 0.0896 {txt}{c |}
45. {c |} {res} 68 Shandong 23 2013~2014 -0.0162 -0.1516 0.1353 {txt}{c |}
46. {c |} {res} 69 Shandong 23 2014~2015 -0.0472 -0.1088 0.0616 {txt}{c |}
47. {c |} {res} 71 Shanghai 24 2013~2014 0.1528 0.0000 0.1528 {txt}{c |}
48. {c |} {res} 72 Shanghai 24 2014~2015 0.0676 -0.0000 0.0676 {txt}{c |}
49. {c |} {res} 74 Shanxi 25 2013~2014 -0.2466 -0.3373 0.0907 {txt}{c |}
50. {c |} {res} 75 Shanxi 25 2014~2015 -0.2778 -0.3393 0.0614 {txt}{c |}
51. {c |} {res} 77 Sichuan 26 2013~2014 -0.0004 -0.0521 0.0518 {txt}{c |}
52. {c |} {res} 78 Sichuan 26 2014~2015 0.0495 -0.0636 0.1131 {txt}{c |}
53. {c |} {res} 80 Tianjin 27 2013~2014 0.1075 -0.0275 0.1350 {txt}{c |}
54. {c |} {res} 81 Tianjin 27 2014~2015 0.1303 0.0530 0.0774 {txt}{c |}
55. {c |} {res} 83 Xinjiang 28 2013~2014 -0.2221 -0.3371 0.1150 {txt}{c |}
56. {c |} {res} 84 Xinjiang 28 2014~2015 -0.2232 -0.2931 0.0699 {txt}{c |}
57. {c |} {res} 86 Yunnan 29 2013~2014 0.0128 -0.1320 0.1448 {txt}{c |}
58. {c |} {res} 87 Yunnan 29 2014~2015 0.1378 0.0586 0.0792 {txt}{c |}
59. {c |} {res} 89 Zhejiang 30 2013~2014 0.0119 -0.0558 0.0677 {txt}{c |}
60. {c |} {res} 90 Zhejiang 30 2014~2015 -0.0092 -0.0996 0.0903 {txt}{c |}
{c BLC}{hline 5}{c -}{hline 14}{c -}{hline 4}{c -}{hline 11}{c -}{hline 9}{c -}{hline 9}{c -}{hline 8}{c BRC}
Note: missing value indicates infeasible problem.
{p 0 4 2}
(file {bf}
ex4result.dta{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
ex4result.dta{rm}
saved
{p_end}
Estimated Results are saved in ex4result.dta.
{com}.
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