Production Risk with Feasible Generalized Least Square

Ferdushi K. F., Hossain M. K., Kamil A. A.

1st International Conference on Advanced Information Scientific Development, ICAISD 2020, Bekasi, West Java, Indonesia, 6 - 07 August 2020, vol.1641 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1641
  • Doi Number: 10.1088/1742-6596/1641/1/012109
  • City: Bekasi, West Java
  • Country: Indonesia
  • Istanbul Gelisim University Affiliated: Yes


© 2020 Published under licence by IOP Publishing Ltd.This study investigates production risk. A multistage stratified random sampling technique wasadopted to select sampling unit. In between Cobb Douglas and Linear quadratic model, the linear quadratic model had been picked through feasible generalized least square method. The numerical model, we utilize the information from rice cultivating in Bangladesh. The results show that uneven socioeconomic and farm-specific inputs are creating risk in rice production. Input variables such as area, labour, and fertilizer and managerial factors, for example, experience, schooling, contact with extension, training, natural calamity, member and status indicated a significant impact on rice productions uncertainty. This indicated that both input and managerial factors were important for the rice production.