gtfpch
/
ex4.log

.
. gtfpch K L= Y: CO2, dmu( Province ) nonr  global sav(ex4result,replace)

 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)

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

Estimated Results are saved in ex4result.dta.

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