Page 53 - Azerbaijan State University of Economics

Mbu Daniel Tambi, Mah-Soh Glennice Fosah: Econometric Modelling of Women
Empowerment and Agricultural Production in Cameroon

Table 5 Parameter Estimates of Agricultural Production by Marital Status
Variables Married Single
Agricultural Production
Women empowerment 3.154655*** -.9296176
indicator (2.74) (-0.50)
Access to agricultural financing -.6349956** .0096868
(-2.20) (0.02)
Access to credit .0004289** -.0000978
(-2.20) (-0.30)
Socio-economic status -.8513269** .3696589
(-2.24) (0.56)
Log of fertilizer used 1.682935*** .5842975
(2.88) (0.62)
Use of modern agricultural -.0010663 .5750325
equipment (-0.01) (1.40)
Agricultural primary activity -.0926833** -.006068
(-2.34) (-0.10)
Log of cost of seeds .118958 .0538587
(0.81) (0.23)
Log of farm size -1.077332*** -.4320971
(-4.86) (-1.49)
Cost of fertilizer .000611 -.0027883
(1.21) (-0.49)
Formal Agricultural training -.0047743*** -.0007309
(-3.12) (-0.35)
Household size -.0498231 -.0030258
(-1.12) (-0.04)
Age .0184325*** .0125009
(4.05) (1.59)
Use specialized seeds -.0469867 .0506734
(-0.22) (0.14)
Place of residence -.7467064* .5186846
(-1.69) (0.75)
Predicted women 2.980143** 1.022517
empowerment residual (2.58) (0.55)
Constant 3.136583 4.536254
(1.06) (1.01)
Adjusted R-squared 0.2473 0.0874
Wald chi2(df): Prob>chi2 9.34[16, 390; 0.0000] 2.07[16, 163; 0.0118]
Observation 407 180

Computed by author, using STATA 14.2. Note: Values in parentheses represent
robust t-statistics while ***, **, * indicate 1%, 5% and 10% level of significance
respectively.

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