Research Article
Rural Credit and Farms Efficiency: Modelling Farmers Credit Allocation Decisions, Evidences from Benin
Table 1
Variables introduced in the stochastic frontier model.
| Variables | Definitions | Units |
| Dependent variable | | | | Farm income | Fcfa |
| Vector | | | Capital | Agricultural materials costs | Fcfa | Acreage | Area under crops | Hectare | Labour | Quantity of labour | Man-day | Intermediary inputs | Costs of chemicals (pesticides, herbicides, and fertilizers) | Fcfa | Capital2 | Threshold of agricultural materials investment | — | Acreage2 | Threshold of area under crops | — | Labour2 | Threshold of labour used | — | Intermediary inputs2 | Threshold of chemicals used | — | Capital acreage | Interaction capital and acreage | — | Capital labour | Interaction capital and labour | — | Capital intermediary inputs | Interaction capital and intermediary inputs | — | Acreage intermediary inputs | Interaction acreage and intermediary inputs | — | Acreage labour | Interaction acreage and labour | — | Labour intermediary inputs | Interaction labour and intermediary inputs | — |
| Vector | | | Credit | Given amount | Fcfa | Credit2 | Threshold | — | Credit acreage | Interaction credit and acreage | — | Credit capital | Interaction credit and capital | — | Credit labour | Interaction credit and labour | — | Credit intermediary inputs | Interaction credit and intermediary inputs (pesticides, herbicides, etc.) | — |
|
|
Source: authors’ calculations.
|