From: Assessing food security among young farmers in Africa: evidence from Kenya, Nigeria, and Uganda
Variables | Measurement | Hypothesized direction | References |
---|---|---|---|
Extension service | Dichotomous, taking the value 1 if a respondent has access to extension service and 0 otherwise | + | Pan et al. (2018), Tesfaye et al. (2008), Yusuf et al. (2015) |
Gender | Respondent’s gender; 1 = male, 0 = female (Dummy) | +/− | Acheampong et al. (2022) |
Credit | Measures whether an individual has access to credit or not; 1 = yes, 0 = no (Dummy) | + | Aidoo et al. (2013), Iftikhar and Mahmood (2017), Matchaya and Chilonda (2012) |
Age | Age of respondents in years (Continuous) | +/− | Acheampong et al. (2022), Masa et al. (2020), Oyetunde-Usman and Olagunju (2019) |
Education | Years of formal education of respondent (Continuous) | + | |
Household size | Number of household members (Continuous) | − | |
Residence | Current residence of respondent; 1=rural, 2=metropolitan, 3=Urban (Categorical) | − | Acheampong et al. (2022) |
Ownership | Type of business ownership; 1=Sole owner, 0= Partnership (Dummy) | +/− |  |
ENABLE TAAT programme | Participation in the ENABLE TAAT programme; 1=participants, 0= Non-participants (Dummy) | + | Masa et al. (2020) |
Employees | Number of employees (Continuous) | + | Inegbedion (2020) |
Market information | Access to market information; 1=Have access, 0=Otherwise (Dummy) | + | |
Asset ownership | Whether a respondent has agribusiness asset or not; 1=Yes, 0=No | + | |
Covid19 | Whether agribusiness performance was affected by Covid19 or not; 1=Yes, 0=No | − | Workie et al. (2020) |
Land size | Size of farmland owned in Hectares (Continuous) | − | Sisha (2020) |
Farm Income | Total farm income (Continuous) | + |