Skip to main content
. 2019 Nov 4;86(2):843–864. doi: 10.1007/s10708-019-10098-y

Table 1.

Summary of literature review on gender difference in agricultural productivity

Author/s and year Country studied Crop Sample Dependent variable Gender indicator Productivity gap Main reasons for the gap
Saito et al. (1994) Kenya Main crops 750 households Value of output/ha Head dummy 8.4% Difference in input use
Udry et al. (1995) Burkina Faso All crops, sorghum, and vegetables 150 households farming 4655 plots in four years Yield/ha Farmer dummy 18% for all crops, 40% for sorghum and 20% for vegetables Lower use of productive inputs by women
Tiruneh et al. (2001) Ethiopia All crops 180 households Value of output/ha Head dummy 35% Women’s lower levels of inputs and limited access to extension services
Njuki et al. (2006) Kenya Crops, tree and cattle 40 farmers Value of output/ha Plot manager dummy No significant difference Age, female labor and land size have a significant effect
Goldstein and Udry (2008) Ghana Maize and Cassava 60 married couples with each four villages Profit Farmer dummy Wives achieve lower profit than husband Women’s land tenure insecurity leads to less investment in land fertility
Akresh (2008) Burkina Faso All crops 2406 households Value of output/ha Farmer dummy 32% (ranges from 32% to 50%) Difference in farm size and vulnerability to rainfall shocks
Alene et al. (2008) Kenya Maize 800 households Yield/ha Head dummy 23% Women’s lower access to land and education
Kinkingninhoun-Meˆdagbe et al. (2010) Benin Rice 145 farmers Yield/ha Farmer dummy 27% Women lack timely access to services for farming and transportation
Peterman et al. (2011) Nigeria and Uganda All major crops Nigeria: 3706 households; Uganda: 3625 plots Value of output/ha Head and plot manager dummy Nigeria: 75% Uganda: 28.6% Differences in socio-economic characteristics, farm input, and crop choice
Ragasa et al. (2012) Ethiopia All major crops 7530 households and 31,450 plots Value of output/ha Head and plot manager dummy Women achieve lower productivity Women’s lower access to quality extension services, price information, and other inputs
Aguilar et al. (2014) Ethiopia All major crops 1518 households Value of output/ha Plot manager dummy Average: 23.4% (Tigray: 33.1%, South: 61.4%) Differences in access to productive resources and its returns
Kilic et al. (2015) Malawi All major crops 16,372 plots Value of output/ha Plot manager dummy 25% Differences in productive resources/endowments
Challa and Mahendran (2015) Ethiopia Coffee, maize and bean 150 households Value of output/ha Head dummy 66.76% Women’s lower access to productive resources/inputs
Backiny-Yetna and McGee (2015) Niger All crops 3968 households Value of output/ha Plot manager dummy Average: 19% but ranges up to 66% Shortage of male labor, fertilizer, and land owned
Mukasa and Salami (2015) Nigeria, Tanzania and Uganda All major crops Nigeria: 4017 Tanzania: 2530, Uganda: 2029 plots Value of output/acre Plot manager dummy Nigeria: 18.6% Tanzania: 27.4%, and Uganda: 30.6% Difference in endowment and structural disadvantages of women’s land size, land quality, labor inputs, and household characteristics
Oseni et al. (2015) Nigeria (North and South) All major crops 2431 households farming 4240 plots Value of output/ha Sex of plot manager North:28% South: no significant difference Structural disadvantages of women in the northern parts
Slavchevska (2015) Tanzania All major crops 6945 plots from 2182 households Value of output/ha Sex of plot manager Weak gender difference Differences in size of plot area and family labor
Ali et al. (2016) Uganda All major crops 6999 plots Value of output/acre Sex of plot manager 17.5% Difference in child dependency ratio, access to transportation, improved seed, and pesticide use

Source: Compilation of authors from various sources