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.

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 ESTIMASI FUNGSI PRODUKSI DAN EFISIENSI ALOKASI SUMBERDAYA PETANI KEDELAI DI LOMBOK BARAT

2006 ◽  
Vol 3 (1) ◽  
pp. 145-148 ◽  
Author(s):  
Nurhayatin Nufus
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Farm Management ◽  
Management Level ◽  
Stochastic Frontier Production Function ◽  
Stochastic Production ◽  
Frontier Production Function ◽  
Land Size

This research  aims  to analyses  factors  influence  on production  and  resources  allocation  of soybeans  by farmer  at  West Lombok.  Production  function  was estimated  from survey data and technical  efficiency  was used to indicate  farm management  level  through maximum  likelihood,  which  was transformed  into frontier stochastic  production  function.  The land  size,  fertilizer  (urea and  TSP), labor  and pesticide  influence  the production  of soybean  at site.  The technical efficciency  level of Soybean fann was 95,6 percent   The  usage of TSP and pesticide reached allocative efficiency while urea and seeds were al/ocative efficiency yet Key words:  technical  effICiency, allocative  effICiency, and stochastic  frontier  production  function.

scholarly journals Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China

2019 ◽  
Vol 11 (19) ◽  
pp. 5225
Author(s):  
Furong Chen ◽  
Yifu Zhao
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Production Function ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Grain Production ◽  
Marginal Productivity ◽  
Rural Labor ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function

This paper investigated the determinants, especially labor transformation, and differences of technical efficiency between main and non-main grain-producing area in China based on a panel data from 30 provinces in the period of 2001–2017. Stochastic frontier production function was used to estimate the level of technical efficiency and the marginal productivity of different inputs. The estimated results showed that land is the most important factor to improve China’s grain output, followed by fertilizers, labor, and machinery inputs. There was a significant 4.6 percent gap of production efficiency between main and non-main producing provinces. Influence of rural labor transformation was confirmed to be positive to improve technical efficiency.

scholarly journals ANALISA TINGKAT EFISIENSI SEKTORAL DAN RESPON KEBIJAKAN EKONOMI SEKTORAL DI DAERAH

2012 ◽  
Vol 14 (3) ◽  
pp. 317-338 ◽  
Author(s):  
M. Abdul Majid Ikram ◽  
Andry Prasmuko ◽  
Donni Fajar Anugerah ◽  
Ina Nurmalia Kurniati
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Regional Level ◽  
Primary Input ◽  
Stochastic Frontier Production Function ◽  
Production Function Approach ◽  
Input Efficiency ◽  
Frontier Production Function ◽  
Sectoral Performance

This paper analyzes the contributon of primary input; capital anda labor, on sectoral performance in Indonesia. The analysis cover sall sectors both in national and regional level, and also the dynamic of input efficiency across period. Using stochastic frontier production function approach, this paper found the aggregate share of capital is 0.20 and 0.34 for labor; conforming the dominance of labor. The highest three technical efficiency is Mining sector (88.65%), Manufacture (70.47%) and Financial (65.93%), while the lowest one is Electric, Gas and Water (25.38%).Keywords: efficiency, stochastic frontier, productivity, Indonesia.JEL Classification: D24, J24, O18

scholarly journals Formation and Efficient Estimation of Stochastic Frontier Production Function

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
N. J Dhanesh
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Efficient Estimation ◽  
Production Functions ◽  
Production Model ◽  
Stages Of Growth ◽  
Stochastic Frontier Production Function ◽  
Plantation Crops ◽  
Frontier Production Function

Technological change and efficiency improvement are important sources of productivity growth in any economy. The concept of technical efficiency (TE) is based on input and output relationships. Technical inefficiency arises when actual or observed output from a given input mix is less than a possible mix. The analysis of technical efficiency involves the assessment of the degree to which the production technologies are utilized. The present investigation on “Formation and efficient estimation of stochastic frontier production functions” was carried out in the Department of Agricultural Statistics, College of Horticulture, Vellanikkara, during 2010 -13. To assess the present economics of pepper cultivation, to formulate a new stochastic frontier production function and to compare different stochastic frontier production functions. The secondary data on the area of holdings, number of vines, yield, expenses for machinery, labour, manure, and other expenses for the cultivation of the major spice pepper collected from the Department of Plantation Crops and Spices, College of Horticulture, Vellanikkara were used for the analysis. For the stochastic frontier production model to be realistic, an exact measurement of the cost of the inputs and the realized output is extremely necessary. Very few farmers keep records of the expenditure incurred on the various inputs and rarely the output realized. Vegetable crops have a short duration. So the farmer will be in a position to give realistic figures regarding the various inputs as also the outputs. As regards plantation crops, there will be a lag right from the establishment of the crop to the steady bearing stage. Therefore, it will be very difficult to trace back the exact cost, as no records would be available about the costs incurred. Therefore, a rapid estimation survey is the only feasibility wherein simultaneous estimation of the costs involved from the nursery through the various stages of growth can be observed. Since a farmer who is already having a steady-bearing crop would have incurred lesser costs through the previous stages of growth of the crop, it is most feasible to use the concept of present worth to arrive at the exact costs of previous stages of the crop. The stochastic frontier analysis was done using the present value (PV) and the present cost.

scholarly journals Production Functions for Wheat Farmers in Selected Districts of Pakistan: An Application of a Stochastic Frontier Production Function with Time-varying Inefficiency Effects

1993 ◽  
Vol 32 (3) ◽  
pp. 233-268 ◽  
Author(s):  
George E. Batiese ◽  
Sohail J. Malik ◽  
Sumiter Broca
Keyword(s):  
Production Function ◽  
Stochastic Frontier ◽  
Policy Formulation ◽  
Stochastic Production Frontier ◽  
Technical Inefficiency ◽  
Stochastic Frontier Production Function ◽  
Rapid Pace ◽  
The Individual ◽  
Frontier Production Function ◽  
Research And Policy

Two models of technical inefficiency with a stochastic production frontier are considered in this paper. In the frrst model, it is assumed that the frontier itself does not vary with time, while in the second, the frontier is allowed to move. These models are applied to four years of panel data on wheat farmers in four districts of Pakistan: Faisalabad and Attock in the Punjab, Badin in Sindh, and Dir in the NWFP. Using essentially the same stochastic frontier production function in each of the four districts involved, different stochastic specifications for the inefficiency effects are obtained for the different districts. Technical efficiencies of production of the individual farmers are predicted in each year in which they are observed. Varying patterns of technical inefficiency are observed. The null hypothesis (of no technical inefficiency) cannot be rejected in only one district. In the other districts, while inefficiencies appear to be present in all of them, they are declining at a fairly rapid pace in one. The results highlight the importance of analysis at a disaggregated level because it is clear that both the rate of technical change and relative efficiencies vary across regions and explicit cognisance must be taken of this both in research and policy formulation.

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