Determinants of income
Table 5 presents the regression results of equation 2. Dependent variable is the log of
per person annual income as a measure of household welfare. Strategy variables are
not highly significant. Strategy #2 is significant at 10% and strategy #5 is significant
at 5%. Within each strategy, some jobs were better than others. So we introduced
some dummy variables in the model. Whether earning a major income or not, those
who are engaged in regular salaried jobs are significantly better than strategy #1 and
strategy #3. Strategy #5, livestock plus other non-farm activities produces lower
welfare than agriculture along with livestock but international migration produces
significantly higher income than agriculture and livestock.
Table 5. Determinants of income of beneficiary households, Bangladesh, 2006.
|
Variables_________________________ |
Co- |
Standard |
z statistic |
Sig. |
|
(Constant) |
9.251 |
.243 |
38.079 |
.000 |
|
#2 Livestock plus business |
-.158 |
.091 |
-1.740 |
.083 |
|
#3 Livestock plus regular job |
-.199 |
.146 |
-1.360 |
.175 |
|
D10 (regular job = 1) |
.433 |
.124 |
3.481 |
.001 |
|
#4 Livestock plus wage labour |
-.063 |
.156 |
-.401 |
.689 |
|
nonaglD (non-farm wage labour) |
.020 |
.123 |
.164 |
.870 |
|
#5 Livestock plus other |
-.224 |
.109 |
-2.050 |
.041 |
|
D3 (have international migrant = 1) |
1.067 |
.110 |
9.665 |
.000 |
|
ed1 (med. Yrs of schooling) |
.028 |
.011 |
2.652 |
.008 |
|
depart (dependency) |
.023 |
.147 |
.155 |
.877 |
|
Adultm (adult male) |
.176 |
.081 |
2.174 |
.030 |
|
Adultf (adult female) |
.098 |
.087 |
1.132 |
.258 |
|
famS (family size) |
-.223 |
.064 |
-3.461 |
.001 |
|
Age_median of working members |
-.005 |
.003 |
-1.848 |
.065 |
|
fhead (female head) |
-.014 |
.107 |
-.131 |
.896 |
|
D11 (training/information) |
.068 |
.123 |
.557 |
.578 |
|
Farm size (own land acres) |
.160 |
.077 |
2.067 |
.039 |
|
Land rented (acres) |
.276 |
.077 |
3.570 |
.000 |
|
Credit (access to credit= 1) |
.155 |
.068 |
2.284 |
.023 |
|
lntree (tree asset value in log) |
.003 |
.007 |
.393 |
.695 |
|
lnBasset (business asset value log) |
.020 |
.008 |
2.584 |
.010 |
|
lnDurab (durable asset value log) |
.015 |
.007 |
2.259 |
.024 |
|
Lnlstk (livestock asset value log) |
.010 |
.014 |
.722 |
.471 |
|
Distance from market (km) |
.054 |
.045 |
1.202 |
.230 |
|
Distance from metallic road (km) |
-.001 |
.034 |
-.039 |
.969 |
|
Length of time (yrs) |
-.007 |
.005 |
-1.506 |
.133 |
|
Active = 1 |
.047 |
.059 |
.795 |
.427 |
|
D12 (land<=0.5 acres = 1) |
.074 |
.109 |
.678 |
.498 |
|
Location 2 |
.368 |
.084 |
4.388 |
.000 |
|
Location 3 |
.281 |
.107 |
2.623 |
.009 |
|
Location 4 |
.046 |
.142 |
.322 |
.748 |
|
Location 5 |
.103 |
.118 |
.875 |
.382 |
|
Location 6 |
-.238 |
.110 |
-2.166 |
.031 |
Dependent Variable: log of annual income per person, R2 = 0.544
11
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