gtfpch_1
/
ex1.log.tex

.
. teddf K L= Y: CO2, dmu( Province ) time(year) sav(ex1result,replace)
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 The directional vector is (-K -L Y -CO2)
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{\smallskip}
  Directional Distance Function Results:
    (Row: Row \# in the original data; Dv: Estimated value of  DDF.)
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     {\TLC}\HLI{37}{\TRC}
     {\VBAR} Row       Province   year        Dv {\VBAR}
     {\LFTT}\HLI{37}{\RGTT}
  1. {\VBAR}   1          Anhui   2013    0.2917 {\VBAR}
  2. {\VBAR}   2          Anhui   2014    0.3589 {\VBAR}
  3. {\VBAR}   3          Anhui   2015    0.3735 {\VBAR}
  4. {\VBAR}   4        Beijing   2013   -0.0000 {\VBAR}
  5. {\VBAR}   5        Beijing   2014   -0.0000 {\VBAR}
  6. {\VBAR}   6        Beijing   2015   -0.0000 {\VBAR}
  7. {\VBAR}  88      Chongqing   2013    0.2068 {\VBAR}
  8. {\VBAR}  89      Chongqing   2014    0.2362 {\VBAR}
  9. {\VBAR}  90      Chongqing   2015    0.2570 {\VBAR}
 10. {\VBAR}   7         Fujian   2013    0.0877 {\VBAR}
 11. {\VBAR}   8         Fujian   2014    0.1423 {\VBAR}
 12. {\VBAR}   9         Fujian   2015    0.1482 {\VBAR}
 13. {\VBAR}  10          Gansu   2013    0.2894 {\VBAR}
 14. {\VBAR}  11          Gansu   2014    0.3679 {\VBAR}
 15. {\VBAR}  12          Gansu   2015    0.4425 {\VBAR}
 16. {\VBAR}  13      Guangdong   2013   -0.0000 {\VBAR}
 17. {\VBAR}  14      Guangdong   2014    0.0372 {\VBAR}
 18. {\VBAR}  15      Guangdong   2015    0.0487 {\VBAR}
 19. {\VBAR}  16        Guangxi   2013    0.2495 {\VBAR}
 20. {\VBAR}  17        Guangxi   2014    0.2751 {\VBAR}
 21. {\VBAR}  18        Guangxi   2015    0.2877 {\VBAR}
 22. {\VBAR}  19        Guizhou   2013    0.2795 {\VBAR}
 23. {\VBAR}  20        Guizhou   2014    0.3660 {\VBAR}
 24. {\VBAR}  21        Guizhou   2015    0.4460 {\VBAR}
 25. {\VBAR}  22         Hainan   2013    0.1920 {\VBAR}
 26. {\VBAR}  23         Hainan   2014    0.2533 {\VBAR}
 27. {\VBAR}  24         Hainan   2015    0.3076 {\VBAR}
 28. {\VBAR}  25          Hebei   2013    0.2237 {\VBAR}
 29. {\VBAR}  26          Hebei   2014    0.2913 {\VBAR}
 30. {\VBAR}  27          Hebei   2015    0.3486 {\VBAR}
 31. {\VBAR}  31   Heilongjiang   2013    0.1191 {\VBAR}
 32. {\VBAR}  32   Heilongjiang   2014    0.1401 {\VBAR}
 33. {\VBAR}  33   Heilongjiang   2015    0.1579 {\VBAR}
 34. {\VBAR}  28          Henan   2013    0.3024 {\VBAR}
 35. {\VBAR}  29          Henan   2014    0.3473 {\VBAR}
 36. {\VBAR}  30          Henan   2015    0.3597 {\VBAR}
 37. {\VBAR}  34          Hubei   2013    0.1463 {\VBAR}
 38. {\VBAR}  35          Hubei   2014    0.1870 {\VBAR}
 39. {\VBAR}  36          Hubei   2015    0.2051 {\VBAR}
 40. {\VBAR}  37          Hunan   2013    0.1579 {\VBAR}
 41. {\VBAR}  38          Hunan   2014    0.1891 {\VBAR}
 42. {\VBAR}  39          Hunan   2015    0.2286 {\VBAR}
 43. {\VBAR}  43        Jiangsu   2013    0.1451 {\VBAR}
 44. {\VBAR}  44        Jiangsu   2014    0.1613 {\VBAR}
 45. {\VBAR}  45        Jiangsu   2015    0.1549 {\VBAR}
 46. {\VBAR}  46        Jiangxi   2013    0.2358 {\VBAR}
 47. {\VBAR}  47        Jiangxi   2014    0.2748 {\VBAR}
 48. {\VBAR}  48        Jiangxi   2015    0.3122 {\VBAR}
 49. {\VBAR}  40          Jilin   2013    0.3361 {\VBAR}
 50. {\VBAR}  41          Jilin   2014    0.3433 {\VBAR}
 51. {\VBAR}  42          Jilin   2015    0.3663 {\VBAR}
 52. {\VBAR}  49       Liaoning   2013    0.1794 {\VBAR}
 53. {\VBAR}  50       Liaoning   2014    0.1832 {\VBAR}
 54. {\VBAR}  51       Liaoning   2015    0.1711 {\VBAR}
 55. {\VBAR}  52      Neimenggu   2013   -0.0000 {\VBAR}
 56. {\VBAR}  53      Neimenggu   2014   -0.0000 {\VBAR}
 57. {\VBAR}  54      Neimenggu   2015    0.0000 {\VBAR}
 58. {\VBAR}  55        Ningxia   2013    0.0000 {\VBAR}
 59. {\VBAR}  56        Ningxia   2014    0.0000 {\VBAR}
 60. {\VBAR}  57        Ningxia   2015   -0.0000 {\VBAR}
 61. {\VBAR}  58        Qinghai   2013    0.4524 {\VBAR}
 62. {\VBAR}  59        Qinghai   2014    0.4928 {\VBAR}
 63. {\VBAR}  60        Qinghai   2015    0.5074 {\VBAR}
 64. {\VBAR}  67        Shaanxi   2013    0.4054 {\VBAR}
 65. {\VBAR}  68        Shaanxi   2014    0.4547 {\VBAR}
 66. {\VBAR}  69        Shaanxi   2015    0.4914 {\VBAR}
 67. {\VBAR}  61       Shandong   2013    0.1372 {\VBAR}
 68. {\VBAR}  62       Shandong   2014    0.1767 {\VBAR}
 69. {\VBAR}  63       Shandong   2015    0.2197 {\VBAR}
 70. {\VBAR}  70       Shanghai   2013   -0.0000 {\VBAR}
 71. {\VBAR}  71       Shanghai   2014   -0.0000 {\VBAR}
 72. {\VBAR}  72       Shanghai   2015   -0.0000 {\VBAR}
 73. {\VBAR}  64         Shanxi   2013   -0.0000 {\VBAR}
 74. {\VBAR}  65         Shanxi   2014   -0.0000 {\VBAR}
 75. {\VBAR}  66         Shanxi   2015    0.0269 {\VBAR}
 76. {\VBAR}  73        Sichuan   2013    0.1667 {\VBAR}
 77. {\VBAR}  74        Sichuan   2014    0.2008 {\VBAR}
 78. {\VBAR}  75        Sichuan   2015    0.2048 {\VBAR}
 79. {\VBAR}  76        Tianjin   2013   -0.0000 {\VBAR}
 80. {\VBAR}  77        Tianjin   2014   -0.0000 {\VBAR}
 81. {\VBAR}  78        Tianjin   2015    0.0116 {\VBAR}
 82. {\VBAR}  79       Xinjiang   2013    0.2433 {\VBAR}
 83. {\VBAR}  80       Xinjiang   2014    0.2511 {\VBAR}
 84. {\VBAR}  81       Xinjiang   2015    0.2397 {\VBAR}
 85. {\VBAR}  82         Yunnan   2013    0.2680 {\VBAR}
 86. {\VBAR}  83         Yunnan   2014    0.3446 {\VBAR}
 87. {\VBAR}  84         Yunnan   2015    0.3416 {\VBAR}
 88. {\VBAR}  85       Zhejiang   2013    0.1197 {\VBAR}
 89. {\VBAR}  86       Zhejiang   2014    0.1540 {\VBAR}
 90. {\VBAR}  87       Zhejiang   2015    0.1732 {\VBAR}
     {\BLC}\HLI{37}{\BRC}
Note: Missing value indicates infeasible problem.
(file{\bftt{ ex1result.dta}} not found)
file{\bftt{ ex1result.dta}} saved
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Estimated Results are saved in ex1result.dta.
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.