A logit analysis of date growers’ decisions toward credit in Al-Hassa area of Saudi Arabia

Abstract EN

The research explores characteristics that influence date growers’ decisions toward borrowing.

Data were obtained from randomly selected sample of producers in Al-Hassa.

logit techniques were used in the analysis, while Maximum likelihood method has been used to estimate the model.

Results indicated that credit use is related to some socio-economic characteristics of the farm and farm operator such as age, educational level, number of date palm trees in the farm, and ownership of the farm.

The methodology for calculating the probability of farmers using credit was explained in detail.