Skip to main content

Advertisement

Table 6 Determinants of organic cotton adoption: results of the probit model

From: Socioeconomic determinants of organic cotton adoption in Benin, West Africa

Variable Label Coefficient (a) Marginal effect (a)(b)
AGE Age of the producer (year) 0.025* (0.014) 0.010* (0.005)
SEX Sex of the producer (1 = male, 0 = female) −1.542*** (0.441) −0.490*** (0.107)
EDUC Formal education of the producer (year) −0.118** (0.053) −0.046** (0.021)
EXPCOT Experience in cotton production in general (year) −0.034* (0.021) −0.013* (0.008)
CLASSP Class of poverty as perceived by producers (1 = very poor, 2 = poor, 3 = medium, 4 = rich) −0.102 (0.206) −0.039 (0.080)
CENTRE Regional dummy (1 = Farmers located in the Centre of Benin, 0 = otherwise) 1.346** (0.641) 0.451*** (0.173)
NORTHW Regional dummy (1 = Farmers located in the northwest-Benin, 0 = otherwise) −0.318 (0.473) −0.124 (0.185)
LNDISTEX Logarithm of the distance between the producer’s house and his farm (km) −1.112*** (0.326) −0.431*** (0.126)
HHSIZE Household size (number of members) 0.052* (0.031) 0.020* (0.012)
LNSUPTOT Logarithm of the amount of land available (ha) −0.235 (0.237) −0.091 (0.092)
OXEN Ownership of oxen (1 = yes) 0.452 (0.572) 0.168 (0.202)
LNDISTM Logarithm of the distance between the village and the nearest market place where producer sell their products (km) 0.075 (0.117) 0.029 (0.045)
ACRED Obtained credit (1 = yes, 0 = no) −0.340 (0.341) −0.133 (0.134)
COOP Membership of producers’ organization (1 = yes) 0.554 (0.371) 0.217 (0.144)
NVISIT Contact with extension agents (number of visits between January and October 2012) 0.355*** (0.073) 0.138*** (0.026)
CONS Constant 0.192 (0.738)  
  1. Number of observation = 191; LR chi2(14) = 144.43***, Log likelihood = −60.110, Pseudo R2 = 0.5457.
  2. (a)Figures in parenthesis are standard errors; (b)The partial derivative is given by \( \frac{\partial E\left[y\Big|x\right]}{\partial x}=\phi \left({x}^{\prime}\beta \right)\beta \) continue variables and \( \mathrm{Prob}\left[y=1\Big|{\overline{x}}_{(d)},d=1\right]-\mathrm{Prob}\left[y=1\Big|{\overline{x}}_{(d)},d=0\right] \), for dummy variables (Greene 2008: 775), with \( {\overline{x}}_{(d)} \) the means of all the other variables in the model.
  3. ***Significant at 1%, **Significant at 5%, *Significant at 10%.