scholarly journals EFISIENSI TEKNIS PRODUKSI USAHATANI TEBU PLANT CANE DAN TEBU RATOON CANE (Studi Kasus di PT. Perkebunan Nusantara X)

2019 ◽  
Vol 12 (1) ◽  
pp. 80
Author(s):  
Intan Kartika Setyawati ◽  
Rudi Wibowo
Keyword(s):  
Technical Efficiency ◽  
Sugar Cane ◽  
Stochastic Frontier ◽  
Analysis Method ◽  
Sampling Frame ◽  
Function Model ◽  
Average Value ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function ◽  
Area Data

The decline in national sugar cane production from 2015 amounted to 2.4 million tons and in 2016 amounted to 2.2 million tons. One of the reason for the decline in sugar cane production is the proportion of Ratoon Cane (RC) which is relatively high compared to Plant Cane (PC). The objective of the study is to analyze the technical efficiency of farming between plant cane (PC) and ratoon cane (RC). The method used in sampling farmer households is purposive by considering there is no sampling frame available in the study area. Data analysis method using the stochastic frontier production function model. The results showed that the plant cane farming (PC) was more technically efficient than ratoon cane (RC) with an average value of PC sugarcane technical efficiency of 93 percent and an average sugarcane technical efficiency of RS by 89 percent.

scholarly journals PERTUMBUHAN TFP DAN PENGEMBANGAN EFISIENSI PRODUKSI

2007 ◽  
Vol 10 (2) ◽  
Author(s):  
Endy Dwi Tjahjono ◽  
Donni Fajar Anugrah
Keyword(s):  
Human Capital ◽  
Technical Efficiency ◽  
Stochastic Frontier ◽  
The Other ◽  
Function Model ◽  
Labor Share ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function ◽  
Observation Period

This paper investigates both the accumulation and the quality of the input factors with stochastic frontier production function model. The application of the model also enables us to predict the technical efficiency of the input factors for each province of Indonesia.The model result shows that the capital and the labor share to output are 0.4 and 0.6 respectively. In all Indonesia regions, the quality of the labor or human capital affects the output, but the effect is so small, especially in East Indonesia. Meanwhile, the quality of capital is decreasing by the time and has a negative small coefficient for all regions.The technical efficiency of all Indonesia regions has increased during the observation period. In the region side, the technical efficiency of the provinces in Sumatra has increased by the time, yet provinces in the other regions tend to decrease. Meanwhile, the technological progresses with no different among regions have a decreasing TFP trend.Keywords: Production, Capital and TFP, Model Stochastic Frontier with Panel DataJEL Classification: C33, D24

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 Effisiensi Produksi Industri Skala Kecil Batik Semarang: Pendekatan Fungsi Produksi Frontier Stokastik

2011 ◽  
Vol 4 (1) ◽  
Author(s):  
Ngatindriatun Ngatindriatun ◽  
Hertiana Ikasari
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Free Variable ◽  
High Price ◽  
Small Scale ◽  
Central Java ◽  
Stochastic Frontier Production Function ◽  
Analysis Instrument ◽  
Frontier Production Function

Batik is known since 17th century. In 2009, UNESCO took batik as the world heritage. Likewise, Batik Semarang. Batik Semarang is unpopular than other batik’s products on Central Java. Their productivity is on small scale and only for environment surroundings. The small productivity causes the high price on their product selling. The aims of this research are to estimate the function of production and technical efficiency of batik Semarang. Sample is 67 owners of small scale batik Semarang industry. Analysis instrument is Stochastic Frontier Production Function. The measuring of production efficiency are material, support material, labor force, instruments, kerosene, firewood, and large of trade location. The result shows that free variable is found significant and have an appropriate signal. Other result shows that technical efficiency of batik Semarang industry is 88, 9%

scholarly journals Is tilapia farming financially profitable and efficient? Policy options for sustainable farming

2019 ◽  
Vol 17 (1) ◽  
pp. 92-98
Author(s):  
Mezamun -Ara Mukta ◽  
Md. Akhtaruzzaman Khan ◽  
Md Rais Uddin Mian ◽  
Rahat Ahmed Juice
Keyword(s):  
Technical Efficiency ◽  
Production Cost ◽  
Stochastic Frontier ◽  
Market Price ◽  
Total Production ◽  
Policy Options ◽  
Financial Benefit ◽  
Stochastic Frontier Production Function ◽  
High Production Cost ◽  
Frontier Production Function

Tilapia (Oreochromis niloticus) is known as ‘fish for the poor’ due to its low market price. However, the question remains about the sustainability of this species because of high production cost and lower market price.  Therefore, this study examined the financial profitability, technical efficiency and tried to find out the policy options for increasing the financial benefit of fish farmers. A total of 250 tilapia fish farmers were selected from seven tilapia producing areas of Bangladesh. To fulfill the objectives of this study, profitability, stochastic frontier production function, and sensitivity analysis were employed.  Considering all selected farmers, tilapia farming found a profitable business where undiscounted BCR was only1.11. Among all cost items, only feed consists of 70 percent of the total production cost.  The mean technical efficiency level of tilapia fish farmers was 85 percent, implies that by operating at full technical efficiency levels, tilapia yield could be increased from the current level of 20.98 to 24.13 tons per hectare and efficient farmers found more productive than inefficient farmers. Farmer’s financial benefit can be increased by reducing the feed price, decreasing FCR or increasing the output price. Feed price reduction or enhance the quality of feed could be effective policy options for sustaining the tilapia farming. J. Bangladesh Agril. Univ. 17(1): 92–98, March 2019

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 Measuring Technical Efficiency of Onion (Allium cepa L.) Farms in Bangladesh

2012 ◽  
Vol 37 (1) ◽  
pp. 171-178 ◽  
Author(s):  
MA Baree
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Mean Value ◽  
Farm Size ◽  
Stochastic Frontier Production Function ◽  
Level Data ◽  
Allium Cepa L ◽  
Additional Costs ◽  
Experience Education ◽  
Frontier Production Function

An attempt was made to determine the overall farm-specific technical efficiency or inefficiency of onion farms of Bangladesh. Farm-level data were used for the estimation of the parameters of Cobb-Douglas stochastic frontier production function. The model for technical inefficiency effects in the stochastic frontier included age, experience, education, and farm size. The elasticity of output with respect to land, labour, and capital cost was estimated to be positive values of 0.3026, 0.0718, and 0.0442, respectively, and also significant. With respect to seed and irrigation, it was found to be insignificant with negative values of 0.0045 and 0.0007. It indicates that per hectare yield of onion decreases if the amount of seed and irrigation hour increase. The coefficients of age, experience, and farm size were significant with expected negative signs, which means that the inefficiency effects in onion production decreases with increase in age, experience, and farm size. The technical efficiency of onion farms varied from 58% to 99% with mean value of 83%. It denotes that there is a scope to increase output per hectare of onion farm by 17% through the efficient use of production  technology without incurring any additional costs. DOI: http://dx.doi.org/10.3329/bjar.v37i1.11191 Bangladesh J. Agril. Res. 37(1): 171-178, March 2012  

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