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Öğe Factors Affecting Risk Efficiency: A Data Envelopment Approach(International Forum of Management Scholars, 2021) Ferdushi, Kanis Fatama; Kamil, Anton AbdulbasahThis paper estimated the two-step process of production risk model which allows positive and negative marginal risk of production. In addition, a non-parametric data envelopment based analytical model is developed with a conjunction of production risk model as a purpose of relevant determinants to estimate the risk efficiency of the Transplanted AMAN rice farm. The results indicate that the important variable labor was expected to be risk-reducing, but it was positively related to risk in the farms of Dhaka (DHR), Chittagong (CHR), Khulna (KHR), Barishal (BAR) and Rangpur (RANGR) region. © 2021, International Forum of Management Scholars. All rights reserved.Öğe The Measures of Efficiency of Power Generation Plants in Sylhet of Bangladesh(HINDAWI LTD, ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND, 2020) Ferdushi, Kanis Fatama; Kamil, Anton Abdulbasah; Ahmed, Saleh; Kawsar, Luthful AlahiThis study measures the performance of power generation plants in Sylhet region of Bangladesh considering twenty-four-month monthly dataset during 2013-14. To measure the performance of those plants, gross electricity generation was considered as output for the stochastic frontier model, whereas fuel consumption, lube oil consumption, auxiliary consumption, cost, heat rate, and hours of run were considered as input variables. Based on the log-likelihood hypothesis test, trans-log production model is preferred over Cobb-Douglas (C-D) production model for this study. The average efficiency of the selected plants is above 90 percent, and there is Sylhet Combined Cycle Power Plant (CCPP) which has an efficiency of about 78.6 percent for truncated normal distribution. In the time-variant inefficiency effects model, fuel consumption, cost, square product of lube oil consumption, interaction between fuel consumption and lube oil consumption as well as auxiliary consumption, and hours of run have a significant positive influence on power generation. On the other hand, some input variables such as hours of run and interaction between cost and heat rate have a significant negative influence on power generation. The estimated values of the time-varying inefficiency parameter q are positive for both the truncated and the half-normal distribution. This result indicates that technical efficiency has declined over the reference period of the study.Öğe Production Risk with Feasible Generalized Least Square(IOP Publishing Ltd, 2020) Ferdushi, Kanis Fatama; Hossain, Md Kamrul; Kamil, Anton AbdulbasahThis 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.Öğe The Technical Efficiency of Transplanted Aman Rice Farms in Bangladesh(Univ Pardubice, Fac Economics Adm, Studentska 95, Pardubice 532 10, CZECH REPUBLIC, 2020) Ferdushi, Kanis Fatama; Kamil, Anton AbdulbasahThe comparison of technical efficiency scores has been estimated by the parametric and nonparametric production model for agricultural rice farms. This paper used a trans-log stochastic frontier model to explain the existing sources of inefficiency of rice farm due to socioeconomic and farm-specific variables in seven selected regions of Bangladesh based on agro-economic zone. The motivational point is to “start trade” in international rice market like other Asian countries. The results show that the estimated technical efficiency of Transplanted AMAN rice farms are vary from 45% to 92% in case of stochastic frontier analysis (SFA). In addition, the estimated technical efficiency is varying from 64% to 79% in case of data envelopment analysis (DEA). The farms’ distributed technical efficiency scores were found higher in the method of parametric SFA than nonparametric DEA in the regions of Dhaka, Khulna, Barisal and Rangpur. The graphical representation of the kernel density estimate indicates that inefficiency was among the farms in the all the selected regions. The results of kernel density estimate indicate that efficiency were negatively skewed in Dhaka, Rajshahi, Khulna, Barisal, Sylhet and Rangpur region. We can conclude that in some places, it can be possible to improve rice production using farmers existing input level. However, there is lot to subsidize for farmers which can be contributed by the local government. They should provide necessary supports for production for marginal farm owners such as training, credit, improved seed and fertilizers and also market facility.