Supplementary material – Table

Appendix 1: Description of the explanatory variables of the binary logit model.

Variable / Non-subscribers / Subscribers
No AEA contacta / 31 (37.4%) / 40 (17.6%)
AEA contact / 52 (62.7%) / 187 (82.4%)
No farmer-to-farmera / 56 (67.5%) / 52 (22.9%)
Farmer-to-farmer / 27 (32.5%) / 175 (77.1%)

aBase/reference category. Frequencies with percentage in parentheses are shown for the categorical variables.

Appendix 2: Pairwise correlation coefficients

AEA contact / Farmer-to-farmer / Sex / Age / Education
AEA contact / 1
Farmer-to-farmer / 0.1654 / 1
Sex / 0.0374 / -0.057 / 1
Age / 0.101 / 0.1544 / 0.0243 / 1
Education / -0.0255 / 0.0541 / -0.0211 / -0.2213 / 1

Appendix 3: Marginal effects of various comparison models

Variable / M1 / M2 / M3 / M4 / M5 / M6
Contact with AEA / 0.1426*** (0.0551) / 0.1426*** (0.0546) / 0.1411** (0.0568) / 0.1447*** (0.0553) / 0.1510*** (0.0556) / 0.1508*** (0.0555)
Farmer-to-farmer / 0.3602*** (0.0537) / 0.3602*** (0.0546) / 0.3605*** (0.0541) / 0.3715*** (0.0542) / 0.3630*** (0.0550) / 0.3639*** (0.0534)
Male / 0.0469 (0.0643) / 0.0804 (0.0866) / 0.0760 (0.0827)
Age / -0.0015 (0.0016) / -0.0012 (0.0017) / -0.0011 (0.0017)
Education
Basic / 0.0529 (0.0602)
Secondary / 0.0336 (0.1954)
Tertiary / 0.0976 (0.1296)
Marital status
Married / 0.0466 (0.2315)
Divorced/Separated / 0.1015 (0.3655)
Widowed / 0.1140 (0.2446)
Educated / 0.0498 (0.0541)
Married / -0.0510 (0.0913)
Constant
N / 310 / 310 / 310 / 310 / 310 / 310
Wald Chi2 / 49.62 / 51.15 / 53.48 / 50.18 / 52.94 / 50.18
Prob>Chi2 / 0.000 / 0.000 / 0.000 / 0.000 / 0.000 / 0.000
Pseudo likelihood / -150.89 / -150.89 / -151.11 / -150.18 / -149.33 / -149.53
Count R2 / 0.781 / 0.781 / 0.781 / 0.771 / 0.797 / 0.794
AIC / 307.780 / 307.780 / 308.211 / 310.364 / 320.655 / 313.065
AIC/N / 0.993 / 0.993 / 0.994 / 1.001 / 1.034 / 1.010
BIC / 318.990 / 318.990 / 319.421 / 329.047 / 361.757 / 339.221

** & *** signify significance levels at 5 and 1 percent, respectively. Standard errors are in the parentheses.

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