Poverty transition through targeted programme: the case of Bangladesh Poultry Model



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-
efficient

Standard
error______

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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