Variables

Households adaptive capacity^a

Higher vs. lower adaptive capacity

Medium vs. lower adaptive capacity

B

S.E.

Wald

df

Sig.

Exp(B)

B

S.E.

Wald

df

Sig.

Exp(B)

Intercept

3.431

3.009

1.300

1

0.254

2.492

2.293

1.181

1

0.277

Age

−0.090

0.047

3.668

1

0.055

0.914

0.045

0.030

2.236

1

0.135

1.046

Landsz

0.402

0.211

3.625

1

0.057

1.495

0.233

0.180

1.666

1

0.197

1.262

LDI

−2.423

2.334

1.078

1

0.299

0.089

−0.678

1.797

0.142

1

0.706

0.508

Education

0.016

0.076

0.046

1

0.830

1.016

0.028

0.060

0.216

1

0.642

1.028

Farmexp

0.101

0.051

3.859

1

0.049

1.106

−0.047

0.036

1.689

1

0.194

0.954

PAR

−0.413

1.713

0.058

1

0.809

0.662

−0.437

1.267

0.119

1

0.730

0.646

[Gender = 0.00]

1.024

0.718

2.033

1

0.154

2.785

0.166

0.616

0.073

1

0.787

1.181

[Gender = 1.00]

0^b

0

0^b

0

[Landcert = 1.00]

−2.108

0.648

10.581

1

0.001

0.121

−1.097

0.508

4.664

1

0.031

0.334

[Landcert = 2.00]

−0.475

0.791

0.360

1

0.549

0.622

−0.565

0.684

0.682

1

0.409

0.569

[Landcert = 3.00]

0^b

0

0^b

0

[Integration_Drisk = 1.00]

1.606

1.089

2.176

1

0.140

4.981

−0.394

0.996

0.156

1

0.693

0.675

[Integration_Drisk = 2.00]

0.929

0.528

3.099

1

0.078

2.532

0.114

0.418

0.075

1

0.784

1.121

[Integration_Drisk = 3.00]

0^b

0

0^b

0

[Acc_irrigation = 0.00]

−0.215

0.936

0.053

1

0.818

0.806

−1.615

0.699

5.330

1

0.021

0.199

[Acc_irrigation = 1.00]

0^b

0

0^b

0

[Acc_Forests = 0.00]

−1.446

0.660

4.797

1

0.029

0.235

−1.260

0.460

7.504

1

0.006

0.284

[Acc_Forests = 1.00]

0^b

0

0^b

0

[Acc_credit = 0.00]

−0.388

0.533

0.528

1

0.468

0.679

−0.141

0.423

0.110

1

0.740

0.869

[Acc_credit = 1.00]

0^b

0

0^b

0

[Saving = 0.00]

−0.323

0.679

0.226

1

0.635

0.724

−0.583

0.498

1.372

1

0.241

0.558

[Saving = 1.00]

0^b

0

0^b

0

[Insurance = 0.00]

−1.397

0.535

6.819

1

0.009

0.247

−0.454

0.402

1.275

1

0.259

0.635

[Insurance = 1.00]

0^b

0

0^b

0

[Training = 0.00]

0.259

0.701

0.136

1

0.712

1.296

−0.112

0.559

0.040

1

0.841

0.894

[Training = 1.00]

0^b

0

0^b

0

[Market = 0.00]

−0.758

1.210

0.392

1

0.531

0.469

−0.358

0.841

0.181

1

0.671

0.699

[Market = 1.00]

0^b

0

0^b

0