The objective to this investigation is the study of production indicators and economic indicators for rice farms in Mutubis County, kafr El-Sheikh Governorate, through the application of the ordinary least squares technique (OLS), but due to the existence of multi –collinearity between factors of production in the models , the Ridge Regression was used to minimize the variance along with primary data gathered from a stratified random sample of the rice farmers . The most important results are :(1) the elasticity of human labor(X1) in rice production, amount to 0.28, (2) the elasticity of local fertilizers (x2), amounts to 0.03 ,(3) the elasticity of seeds(x3)amounts to 0.18, (4) the elasticity of phosphate fertilizer (x4) amounts to 0.02,(5) the elasticity of nitrogen fertilizer (x5)amount to 0.15,(6) the elasticity of pesticides (x6) amounts to 0.12,(7) the elasticity of mechanical and animal labor (x7) amounts to 0.19,(8) the total sum of factors of production elasticites amount to 0.97 less than one, and this reflects the decreasing economies of scale .
EL-Feel, A., El-Tatawy, N., EL-Seify, H., & Nasser, M. (2020). Economic and Production Indicators of Rice Farms in Mutubis District, Kafr El-Sheikh Governorate. Journal of Sustainable Agricultural Sciences, 46(1), 29-36. doi: 10.21608/jsas.2019.18336.1178
MLA
Ahmed EL-Feel; Nashwa El-Tatawy; Hussein EL-Seify; Mohamed Nasser. "Economic and Production Indicators of Rice Farms in Mutubis District, Kafr El-Sheikh Governorate". Journal of Sustainable Agricultural Sciences, 46, 1, 2020, 29-36. doi: 10.21608/jsas.2019.18336.1178
HARVARD
EL-Feel, A., El-Tatawy, N., EL-Seify, H., Nasser, M. (2020). 'Economic and Production Indicators of Rice Farms in Mutubis District, Kafr El-Sheikh Governorate', Journal of Sustainable Agricultural Sciences, 46(1), pp. 29-36. doi: 10.21608/jsas.2019.18336.1178
VANCOUVER
EL-Feel, A., El-Tatawy, N., EL-Seify, H., Nasser, M. Economic and Production Indicators of Rice Farms in Mutubis District, Kafr El-Sheikh Governorate. Journal of Sustainable Agricultural Sciences, 2020; 46(1): 29-36. doi: 10.21608/jsas.2019.18336.1178