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Table 9 Key factors influencing adoption of productivity-enhancing agri-innovations in Malawi during the scaling-out phase

From: Improving efficiency of knowledge and technology diffusion using community seed banks and farmer-to-farmer extension: experiences from Malawi

Variable

Coefficient

Z value

P >|Z|

Age

56.42

0.49

0.688

Education

91.73

0.86

0.496

Districts (agroecology)a

Dedza

−220.82

−1.96

0.050*

Lilongwe

632.11

2.79

0.005**

Mchinji

72.56

−0.70

−0.487

Sex of farmer

11.60

0.36

0.716

Training sessions received

   

Two

89.12

0.80

0.425

Three

306.21

2.79

0.005**

Four

780.00

7.57

0.000**

Five

1120.51

11.06

0.000**

Variety grownb

Kakoma

502.00

6.23

0.000**

Chitala

504.05

6.27

0.000**

Nsinjiro

414.34

5.14

0.000**

CG 7

366.54

4.56

0.000**

  1. n = 917 for the beneficiary population and n = 653 for non-beneficiary population
  2. *Significant at p ≤ 0.05
  3. **Significant at p ≤ 0.001
  4. aDistricts represent three agroecologies of Malawi where studies were conducted. Crop productivity among non-beneficiary farmers in Balaka was 646.03 kg/ha, n = 91
  5. bThe local check Chalimbana against which improved groundnut varieties were compared produced 697.2 kg/ha