Table 4 The results of stochastic frontier normal/truncated-normal model
From: Analysis of technical efficiency in maize production in Guji Zone: stochastic frontier model
Stoc. Frontier normal/truncated-normal model | Number of obs = 234 | ||||||
|---|---|---|---|---|---|---|---|
Wald chi2(7) = 1034.75 | |||||||
Log likelihood = 97.535577 | Prob > chi2 = 0.0000 | ||||||
lnMPH | Coef | Std. Err | Z | P > z | [95% Conf Interval] | ||
lnMPH | |||||||
lnFRH*** | 0.3056592 | 0.0484493 | 6.31 | 0.000 | 0.2107003 | 0.4006182 | |
lnMWR** | 0.1061715 | 0.0495665 | 2.14 | 0.032 | 0.009023 | 0.2033201 | |
lnMPR*** | 0.1824448 | 0.0609982 | 2.99 | 0.003 | 0.0628906 | 0.301999 | |
lnOHH*** | 0.2316195 | 0.0523811 | 4.42 | 0.000 | 0.1289544 | 0.3342847 | |
lnMHH** | 0.0971334 | 0.0459175 | 2.12 | 0.034 | 0.0071368 | 0.1871301 | |
lnMIH*** | 0.1048717 | 0.038228 | 2.74 | 0.006 | 0.0299461 | 0.1797973 | |
lnLMZ*** | 0.9209692 | 0.0371639 | 24.78 | 0.000 | 0.8481293 | 0.9938091 | |
_cons | 0.0442006 | 0.2631521 | 0.17 | 0.867 | −0.471568 | 0.5599693 | |
mu | |||||||
SEX* | −0.7442135 | 0.4121561 | −1.81 | 0.071 | −0.0635977 | 1.552025 | |
AGE** | −0.0202774 | 0.0102945 | −1.97 | 0.049 | −0.0404541 | −0.0001006 | |
EDU | −0.0165539 | 0.0154354 | −1.07 | 0.284 | −0.0468068 | 0.0136991 | |
TNR** | −0.0729732 | 0.0294028 | −2.48 | 0.013 | −0.0153448 | −0.1306016 | |
INC*** | −4.70e−06 | 1.28e−06 | −3.66 | 0.000 | −7.21e−06 | −2.18e−06 | |
ROW* | −2.356616 | 1.314223 | −1.79 | 0.073 | −4.932445 | 0.219213 | |
CRD** | −0.012532 | 0.0057474 | −2.18 | 0.029 | −0.0012674 | 0.0237966 | |
EXV | 0.4646291 | 0.3606043 | 1.29 | 0.198 | −0.2421423 | 1.171401 | |
NAL* | −0.2381318 | 0.1410953 | −1.69 | 0.091 | −0.5146734 | 0.0384098 | |
LSH** | 0.3566474 | 0.1598629 | 2.23 | 0.026 | 0.043322 | 0.6699729 | |
IMD** | −1.529624 | 0.6312622 | −2.42 | 0.015 | −2.766875 | −0.2923727 | |
DFM | 0.3126582 | 0.4873519 | 0.64 | 0.521 | −0.6425339 | 1.26785 | |
NLV* | −0.0066951 | 0.040,327 | −1.66 | 0.097 | −0.014599 | 0.0012089 | |
_cons*** | 0.4632954 | 0.094953 | 4.88 | 0.000 | 0.2771907 | 0.6494001 | |
/lnsigma2 | −2.737034 | 0.185183 | −15.68 | 0.000 | −3.363453 | −2.637549 | |
/ilgtgamma | −0.0194481 | 0.4361717 | −0.02 | 0.983 | −0.864329 | 0.8454328 | |
sigma2 (\({\sigma }_{S}^{2}={\sigma }_{u}^{2}+{\sigma }_{v}^{2}\)) | 0.0647621 | 0.0092151 | 0.0346155 | 0.0715364 | |||
Gamma (\(\gamma =\frac{{\sigma }_{u}^{2}}{{\sigma }_{S}^{2}}\)) | 0.61399337 | 0.1090405 | 0.2964357 | 0.6996082 | |||
sigma_u2 | 0.0397635 | 0.0097377 | 0.0056779 | 0.0438491 | |||
sigma_v2 | 0.0249986 | 0.0024699 | 0.0201577 | 0.0298395 | |||
\(lamda(\lambda )=\frac{{\sigma }_{u}}{{\sigma }_{v}}=\frac{0.1994 }{0.1581}=1.2612271\) | |||||||