scholarly journals EFISIENSI TEKNIS USAHATANI BAWANG MERAH DI KECAMATAN KETAPANG KABUPATEN LAMPUNG SELATAN

2019 ◽  
Vol 6 (3) ◽  
pp. 222
Author(s):  
Hardini Tristya ◽  
Ktut Murniati ◽  
Muhammad Irfan Affandi
Keyword(s):  
Maximum Likelihood ◽  
Linear Regression ◽  
Maximum Likelihood Estimation ◽  
Technical Efficiency ◽  
Production Function ◽  
Linear Regression Model ◽  
Likelihood Estimation ◽  
Research Data ◽  
Technical Inefficiency ◽  
Frontier Production Function

This study aims to analyze technical efficiency of onion farming and the factors that influence the technical inefficiency of onion farming. This research is conducted purposely in Ketapang Sub-district.  The respondents are 49 farmers collected by sensus method.  He research data is taken in September to November 2016.  The technical efficiency is measured by frontier production function and estimated by Maximum Likelihood Estimation (MLE) method with Frontier 4.1c computer program.  The estimation of factor that influences the technical inefficiency is applied by linear regression model simultaneously obtained by using the frontier production function.  The results showed that the average of technical efficiency of onion farming in Ketapang Sub-district was 0.93 which meant very efficient.  Furthermore, the factors that significantly influenced the technical inefficiency of onion farm in Ketapang Sub-district were the farming experience and counseling frequency.Key words: frontier, onion farming, technical efficiency

scholarly journals Technical Efficiency Differential of Groundnut Production in Jigawa State, Nigeria

2013 ◽  
Vol 1 (4) ◽  
pp. 470-475
Author(s):  
REKWOT G.Z ◽  
DAMISA M A ◽  
YUSUF O
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Family Size ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Technical Inefficiency ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function ◽  
Analytical Tools ◽  
Maximum Minimum

This study was undertaken to principally determine the technical efficiency differential of groundnut production by adopters and non-adopters of Institute for Agriculture (IAR) groundnut varieties in Jigawa state, Nigeria.Interview schedule was used to collect data from a sample of 227 respondents who were selected randomly from the four agricultural zones in the study area. The analytical tools employed in data analysis include descriptive statistics and stochastic frontier production function. The result of the Maximum Likelihood Estimation of the stochastic frontier production function revealed that the maximum, minimum and mean efficiencies of farmers who adopted IAR groundnut varieties were 91%, 18% and 70% respectively while in the case of farmers who did not adopt, the maximum, minimum and mean efficiencies were 88%, 18% and 63%. This implies that the farmers who adopted IAR groundnut varieties are more technically efficient than farmers who did not adopt IAR groundnut varieties. Therefore, adopting of IAR groundnut varieties by farmers can contribute in enhancing their technical efficiency.The sources of technical inefficiency of adopters of IAR groundnut varieties were age (P<0.01), family size (P<0.01), education (P<0.01), extension (P<0.01) and credit(P<0.05). The result of the inefficiency model of the non-adopters of IAR groundnut varieties revealed that the major factorsinfluencing the technical inefficiency were family size (P<0.01), education (P<0.01), farming experience (P<0.05) and extension contact (P<0.05). Based on the findings of the study, Based on the findings of the study, it is recommended that Government should fast track seed multiplication and distribution through effective extension service delivery to farmers so as to intensify and sustain the adoption of improved groundnut varieties towards enhancing the technical efficiency of groundnut farming households.

scholarly journals MEASURING THE TECHNICAL EFFICIENCY OF POTATO PRDUCTION AND ITS DETERMINATS IN IRAQ (BAGHDAD PROVINCE AS CASE STUDY).

2020 ◽  
Vol 51 (6) ◽  
pp. 1634-1643
Author(s):  
Al-Hachami & et al.
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Cross Section Data ◽  
Technical Inefficiency ◽  
Section Data ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function

This study aimed to estimate the stochastic frontier production function and the inefficiency function and technical efficiency of potato production by using cross-section data collected from 173 potato farms that were randomly selected in Baghdad province/ Yusifiyah for production season 2016. The results showed that 90.6% of inefficiency in production was due to technical inefficiency. Also, there was a significant relationship between the variables of inefficiency function and the inefficiency of farms. The values of the parameters of the stochastic frontier production function were positive and significant for both human work hours and the amount of seeds. However, the parameter of DAP fertilizer was negative and significant. The estimation of the technical inefficiency function showed that its parameters were significant for both the local seed provider and the agricultural season (fall), while the parameters experience in growing potatoes and the number of irrigations were significant and their impact was negative on the inefficiency. The results also showed that the technical efficiency of the study sample (50%) on average. The researchers recommended the necessity of providing imported seed tubers for the increased productivity in dunum to achieve technical efficiency.

Maximum likelihood estimation in transformed linear regression with nonnormal errors

2019 ◽  
Vol 47 (4) ◽  
pp. 1864-1892
Author(s):  
Xingwei Tong ◽  
Fuqing Gao ◽  
Kani Chen ◽  
Dingjiao Cai ◽  
Jianguo Sun
Keyword(s):  
Maximum Likelihood ◽  
Linear Regression ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation
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