Research Article
Rural Credit and Farms Efficiency: Modelling Farmers Credit Allocation Decisions, Evidences from Benin
Table 2
Descriptive statistics of the variables in the stochastic frontier and Tobit models.
| Variables | Units | Means | S.E | Minimum | Maximum |
| Age | Years | 44.23418 | 11.22224 | 21 | 80 | Farming experience | Years | 21.91983 | 11.07947 | 1 | 55 | Household size | Number of people | 10.80842 | 6.604174 | 1 | 54 |
| Revenue | Fcfa | 2262566 | 4016968 | 7500 | 34100000 | Acreage | Hectare | 6.090127 | 8.310743 | 0.36 | 84 | Intermediary inputs | Fcfa | 645453.1 | 1165424 | 15100 | 14100000 | Labour | Man-day | 4.192144 | 3.126197 | 0 | 22.25 | Capital | Fcfa | 712020.4 | 2670723 | 0 | 31100000 | Credit | Fcfa | 35213.09 | 67563.82 | 0 | 761429 |
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Source: authors’ calculations.
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