scholarly journals The Impact of Set-Aside Programs on Technical and Allocative Efficiency in Japanese Rice Production: Evidence from a Profit Maximizing Model Using a Stochastic Frontier Production Function

2009 ◽  
Vol 45 (1) ◽  
pp. 33-36 ◽  
Author(s):  
Ryo Sakamoto ◽  
Hitoshi Kusakari
Author(s):  
Nurhayatin Nufus

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.


2017 ◽  
Vol 2 (2) ◽  
pp. 127
Author(s):  
Budi Yoko ◽  
Yusman Syaukat ◽  
Anna Fariyanti

<p>An effort to increase rice production through agricultural extension in Central Lampung regency is difficult. This is because of the limited land that can be used as new planning areas and high competition for land use as non-agricultural activities. Therefore, the increase in rice production through production efficiency becomes the most important alternative. The objectives of this study are to analyze the level of technical efficiency, allocative efficiency, and economic efficiency of rice farming in Central Lampung district and identified the factors that influence it. The results of the analysis using stochastic frontier production function shows that rice farming in the study area has been efficient. Average efficiency level of technical efficiency is 0,94, allocative efficiency is 0,93, and economic efficiency is 0,88. The land area is the most responsive variable in an effort to increase rice production. Variables expected to affect the degree of technical efficiency of rice farming is the number of family members of farmers, rice farming experience, acces farmers to agricultural financing, and number of agricultural extension.</p>


2021 ◽  
Vol 17 (2) ◽  
pp. 416-423
Author(s):  
Ajay Tegar

The study analysed the technical and allocative efficiency of cauliflower farm in Bilaspur district of Chhattisgarh, using a stochastic frontier production function. Primary data were collected from 154 farmers from 04 blocks of the district. The study revealed return to scale on cauliflower farm is positive and greater than one as 2.50 which floored the farm in stage one production surface. The study also finds that variation in output of cauliflower was due to random factor. The mean technical efficiency of the pooled sample accounted to be 96.4 per cent. The two inputs land size and seed were over utilised as locative efficiency valued less than unity while other factors fertilizer, labour and irrigation were under utilised as valued greater than unity. The study recommends adoption of new method and technology in cauliflower production. The existence of under and over utilisation of resource should be addressed effectively and efficiently by extension personnel with continuous efforts making on precision farming.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
John Kanburi Bidzakin ◽  
Simon C. Fialor ◽  
Dadson Awunyo-Vitor ◽  
Iddrisu Yahaya

Irrigation production is a means by which agricultural production can be increased to meet the growing food demands in the world. This study evaluated the effect of irrigation ecology on farm household technical, allocative, and economic efficiency of smallholder rice farmers. Cross-sectional data was obtained from 350 rice farmers across rain fed and irrigation ecologies. Stochastic frontier analyses are used to estimate the production efficiency and endogenous treatment effect regression model is used to estimate the impact of irrigation ecology on rice production efficiency. The impact of irrigation ecology on technical efficiency is about 0.05, which implies farmers producing under irrigation ecology are more technically efficient in their rice production than those in rain fed production. The impact of irrigation ecology on allocative efficiency is about 0.33, which shows that farmers participating in irrigation farming are more allocatively efficient in their rice production than those in rain fed production. The impact on economic efficiency is about 0.23, meaning that farmers participating in irrigation farming are more economically efficient in their rice production than those in rain fed production. Irrigation ecology has positive impact on production efficiency; hence farmers should be encouraged to produce more under irrigation for increased yield and profit.


2019 ◽  
Vol 11 (19) ◽  
pp. 5225
Author(s):  
Furong Chen ◽  
Yifu Zhao

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.


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