Production Risk with Feasible Generalized Least Square
Küçük Resim Yok
Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IOP Publishing Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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. © 2020 Published under licence by IOP Publishing Ltd.
Açıklama
1st International Conference on Advanced Information Scientific Development, ICAISD 2020 -- 6 August 2020 through 7 August 2020 -- Bekasi, West Java -- 165144
Anahtar Kelimeler
Cultivation; Managers; Personnel training; Generalized least square; Input variables; Linear-quadratic models; Managerial factors; Production risks; Rice production; Sampling units; Stratified random sampling; Least squares approximations
Kaynak
Journal of Physics: Conference Series
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
1641
Sayı
1
