scholarly journals EFFICIENCY OF APPLE SMALL-SCALE FARMING IN ALBANIA-A STOCHASTIC FRONTIER APPROACH

New Medit ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 57-70
Author(s):  
Myslym Osmani ◽  
Arben Kambo
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Modern Technology ◽  
Small Scale ◽  
Negative Effects ◽  
Stochastic Frontier Approach ◽  
Factors Affecting ◽  
Apple Production ◽  
Major Factors

Apple production sector in Albania is growing very fast in Albania but research about apple production efficiency is almost absent. This research aims at assessing the technical efficiency and factors affecting it for the Albanian apple farms. Data of 150 randomly selected farmers in the area of Korça region are analyzed with the Stochastic Frontier Approach. The average level of technical efficiency results 88%, with 12% potential for improvement. The efficiency gap is about 21%. Major factors with positive effect on technical efficiency result the access to advisory services, average plots size, number of apple plots; education and proportion of orchards under modern technology have negative effects; age, and farmer’s experience are not significant. Measures to support planting of apples should take into account the size of plots. There is much space to improve extension services to farmers, so adequate policies are needed to support farmers with training, information to improve their skills and knowledge, to ensure they are supplied with quality inputs and technologies at reasonable prices, and policies to improve farmers access to markets.

scholarly journals Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 246
Author(s):  
Markose Chekol Zewdie ◽  
Michele Moretti ◽  
Daregot Berihun Tenessa ◽  
Zemen Ayalew Ayele ◽  
Jan Nyssen ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Crop Production ◽  
Large Scale ◽  
Positive Impact ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Crop Productivity ◽  
Small Scale ◽  
Stochastic Frontier Approach ◽  
Small Scale Irrigation

In the past decade, to improve crop production and productivity, Ethiopia has embarked on an ambitious irrigation farming expansion program and has introduced new large- and small-scale irrigation initiatives. However, in Ethiopia, poverty remains a challenge, and crop productivity per unit area of land is very low. Literature on the technical efficiency (TE) of large-scale and small-scale irrigation user farmers as compared to the non-user farmers in Ethiopia is also limited. Investigating smallholder farmers’ TE level and its principal determinants is very important to increase crop production and productivity and to improve smallholder farmers’ livelihood and food security. Using 1026 household-level cross-section data, this study adopts a technology flexible stochastic frontier approach to examine agricultural TE of large-scale irrigation users, small-scale irrigation users and non-user farmers in Ethiopia. The results indicate that, due to poor extension services and old-style agronomic practices, the mean TE of farmers is very low (44.33%), implying that there is a wider room for increasing crop production in the study areas through increasing the TE of smallholder farmers without additional investment in novel agricultural technologies. Results also show that large-scale irrigation user farmers (21.05%) are less technically efficient than small-scale irrigation user farmers (60.29%). However, improving irrigation infrastructure shifts the frontier up and has a positive impact on smallholder farmers’ output.

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 Risk Adjusted Production Efficiency of Maize Farmers in Ethiopia: Implication for Improved Maize Varieties Adoption

2017 ◽  
Vol 5 (9) ◽  
pp. 1099
Author(s):  
Sisay Diriba Lemessa ◽  
Molla Alemayehu Yismawu ◽  
Megersa Debela Daksa ◽  
Mulugeta Damie Watabaji
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
Stochastic Frontier Approach ◽  
Technical Inefficiency ◽  
Maize Production ◽  
Production Risk ◽  
Access To Credit ◽  
Maize Varieties

This study analyzes the technical efficiency and production risk of 862 maize farmers in major maize producing regions of Ethiopia. It employs the stochastic frontier approach (SFA) to estimate the level of technical efficiencies of stallholder farmers. The stochastic frontier approach (SFA) uses flexible risk properties to account for production risk. Thus, maize production variability is assessed from two perspectives, the production risk and the technical efficiency. The study also attempts to determine the socio-economic and farm characteristics that influence technical efficiency of maize production in the study area. The findings of the study showed the existence of both production risk and technical inefficiency in maize production process. Input variables (amounts per hectare) such as fertilizer and labor positively influence maize output. The findings also show that farms in the study area exhibit decreasing returns to scale. Fertilizer and ox plough days reduce output risk while labor and improved seed increase output risk. The mean technical efficiency for maize farms is 48 percent. This study concludes that production risk and technical inefficiency prevents the maize farmers from realizing their frontier output. The best factors that improve the efficiency of the maize farmers in the study area include: frequency of extension contact, access to credit and use of intercropping. It was also realized that altitude and terracing in maize farms had influence on farmer efficiency.

scholarly journals Technical Efficiency Analysis of Millet Production in the Sahel Region of Burkina Faso

2020 ◽  
Vol 11 (1(S)) ◽  
pp. 10-18
Author(s):  
Windinkonté SEOGO ◽  
W. Jean-Pierre SAWADOGO
Keyword(s):  
Burkina Faso ◽  
Technical Efficiency ◽  
Production Efficiency ◽  
Formal Education ◽  
Stochastic Frontier ◽  
Farm Income ◽  
Factors Affecting ◽  
Access To Credit ◽  
Income Breeding ◽  
Sahel Region

Millet is the basic cereal crop which contributes to rural households’ food security in the Sahel region of Burkina Faso. This study assesses the technical efficiency and its determinants of millet farmers in this region. A stochastic frontier approach is followed to analyze data collected on 106 households randomly selected in 2017. The mean technical efficiency is estimated at 71.23% implying that millet production may be increased by 28.77% with the same resources used by farmers. The results show that formal education, off farm income, breeding, and access to credit are the main factors affecting the production efficiency. The study recommends decisions makers to take appropriate measures regarding these factors, to enhance millet productivity in the Sahel region.

scholarly journals Technical efficiency of cocoa farming in Gorontalo Province

2021 ◽  
Vol 232 ◽  
pp. 01027
Author(s):  
Ari Abdul Rouf ◽  
Erna Retnawati ◽  
Dwi Rohmadi ◽  
Soimah Munawaroh ◽  
Awaludin Hipi
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Simple Random Sampling ◽  
Significant Rise ◽  
Factors Affecting ◽  
Cocoa Production ◽  
Negative Effect ◽  
Technical Production ◽  
Frontier Production Function

Cocoa is an export oriented strategic plantation commodity that contributes to foreign exchange in Indonesia. It is mostly planted in Sulawesi Island, therefore, serves as a source of income for farmers. The purpose of this study was to analyze the efficiency of cocoa farming in Pohuwato Regency, Gorontalo. A total of 55 respondents were selected by simple random sampling. Furthermore, the Cobb Douglas stochastic frontier production function was used to analyze technical production efficiency and factors affecting it. Cocoa farming can be categorized as profitable, as the farmer reached average profit IDR 6,312,679/ha/year. However, in general cocoa farmers have not yet technically efficient because their technical efficiency value was only 0.52. The cocoa production efficiency was positively and significantly affected by land area, fertilizer, pesticides and labor. The increase in farmer age causes a positive and significant rise in inefficiency. Conversely, education and the number of family members have a negative effect, although not significant. Therefore, it requires to increase cocoa farming efficiency by increasing farmers’ access to production inputs such as fertilizers and pesticides, and improving the management of cocoa cultivation.

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