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The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)

Table 3 Maximum likelihood estimates for parameters of the stochastic frontier production models for rice production

From: Estimating financing gaps in rice production in Southwestern Nigeria

LNOUTPUT

Coef.

Std. Err.

P-value

Log of farm size

0.400

0.402

0.921

Log of quantity of labour

0.052

0.022

0.048**

Log of herbicides

− 0.045

0.020

0.088*

Log of volume of insecticides

0.001

0.002

0.592

Log of quantity of seed

0.171

0.091

0.060*

Constant

1.399

0.400

0.000***

Inefficiency model

 Age

0.508

0.240

0.034**

 Gender

5.156

2.813

0.067*

 Farming experience

3.476

1.270

0.006***

 Household size

− 11.636

4.784

0.015**

 Access to credit

− 18.609

10.956

0.089*

 Access to information

− 13.231

6.033

0.028**

 Membership in cooperative

4.652

3.208

0.147

 Access to improved variety

− 19.919

6.951

0.004***

 Location_Osun

− 15.420

5.932

0.009***

 Location_Ondo

− 20.535

8.033

0.011**

 Constants

− 73.968

27.088

0.006***

 \(\delta^{2}\)

− 4.558

0.075

0.000***

Prob > Chi2

  

0.0842*

Log likelihood

306.07221

  

Wald Chi2(5)

9.70

  

Mean efficiency score

70

  
  1. ***, ** and * represent significance level at 1%, 5% and 10%, respectively, and location of Ekiti State was used as base category