Landrace and GM maize cultivars’ selection choices among rural farming households in the Eastern Cape Province, South Africa

Figures & data

Figure 1. Conceptual framework.

Table 1. Basic sample statistics of respondents.

Categorical Variables	Frequency (N = 650)		Percentage (%)
Gender
Male	212		33
Female	438		67
Marital status
Single	458		70
Married	192		30
Employment status
Employed	157		24
Unemployed	493		76
Education
Educated	513		79
Uneducated	137		21
Household income
<500	35		5
500–1000	95		15
1000–2000	315		49
2001–5000	158		24
5001–10000	33		5
10001–20000	13		2
>20000	1		0
Access to TV
Yes	453		70
No	197		30
Access to cell-phone
Yes	540		83
No	110		17
Access to radio
Yes	336		52
No	314		48
Livestock ownership
Yes	563		87
No	87		13
Continuous variables	Mean	Std. Dev.	Min	Max
Age	57	14	19	91
Size of arable land	1	1	0.1	8
Household size	7	4	1	25
Number of livestock	26	24	0	161

Figure 2. Production status of maize cultivars from the study area.

Table 2. Multivariate probit regression results for factors that influence the selection of maize varieties.

Independent Variables	Dependent Variables
	GM Maize Cultivars			Landrace Maize Cultivars
	β	dy/dx	P>|z|	β	dy/dx	P>|z|
(1) Rainfall	.6837	.2679157	0.000***	−.5343	−.1877363	0.000***
(2) Gender	.1107	.031288	0.488	−.0444	- .0077287	0.860
(3) Age	.0066	.0023425	0.154	−.0080	−.0026102	0.102
(4) Marital Status	.0411	.0120139	0.649	.0116	.0026008	0.920
(5) Household size	.2936	.0119641	0.036**	.0002	.0002821	0.960
(6) Education	.2258	.0870306	0.001***	−.2500	−.0852076	0.001***
(7) Monthly income	−.0016	−.0038889	0.857	−.1004	-. 0399088	0.059*
(8) Employment Status	−.2314	−.0956058	0.041**	.1020	.0545556	0.242
(9) Size of arable land accessed	.07961	.0359638	0.077*	−.0450	−.024282	0.219
(10) Number of Livestock	.0006	.0005886	0.553	.0048	.0022804	0.025**
(11) Livestock ownership	.1272	.0374572	0.557	.1748	.068508	0.298
(12) Access to TV	−.0072	−.0135197	0.765	.0629	.0412169	0.356
(13) Access to cell-phone	.3911	.1311579	0.012**	−.3323	−.0929117	0.075*
(14) Access to radio	.1336	.550207	0.183	−.1787	−.0693784	0.085*
Constant	−2.0785	-	0.000	1.6880	-	0.000
Number of observations = 650 Wald Chi^2 (28) = 101.26 Log likelihood = −642.05354 Prob > Chi^2 = 0.0000

Note: *, ** and *** are respectively at the 10, 5 and 1% levels significant p-values.