scholarly journals Estimating technical efficiency of small scale beef cattle fattening in the lake zone in Tanzania

2013 ◽  
Vol 5 (5) ◽  
pp. 197-207 ◽  
Author(s):  
N. Mlote
Keyword(s):  
Beef Cattle ◽  
Technical Efficiency ◽  
Small Scale ◽  
Lake Zone

scholarly journals Technical Efficiency of Beef Cattle Production in West Nusa Tenggara

2019 ◽  
pp. 498-510
Author(s):  
Galih Sudrajat ◽  
Sri Mulatsih ◽  
Alla Asmara
Keyword(s):  
Beef Cattle ◽  
Technical Efficiency ◽  
Production Function ◽  
Animal Health ◽  
Stochastic Frontier ◽  
Small Scale ◽  
Cattle Production ◽  
Stochastic Frontier Production Function ◽  
Beef Cattle Production ◽  
Frontier Production Function

The characteristics of beef cattle business in West Nusa Tenggara province which are dominated by small-scale farmers by semi-intensive and extensive systems are relatively inefficient. The research objectives were to identify the factors that influenced the level of production and analyze the technical efficiency of beef cattle production in West Nusa Tenggara. The research used cross section data taken from the results of the 2014 Livestock Household Survey (ST2013-STU) conducted by the Indonesia Central Bureau of Statistic. The analytical method used in this study was the stochastic frontier production function. The analysis results of the stochastic frontier production function showed that forage fodder input, concentrates, labour, animal health care and herd size are influential factors on beef cattle production. The average level of technical efficiency of beef cattle farmers in West Nusa Tenggara is 0.705. This shows that the average productivity achieved is 70.5 percent, which means that production can still be increased by 29.5 percent to achieve maximum productivity. The policy to reduce the level of technical inefficiency is by providing facilitation to farmers in order to change their production systems from extensive to intensive or semi-intensive.

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.

Technical efficiency and its determinants in the Indian textile garments industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulla ◽  
Shiv Kumar
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Textile Industry ◽  
Small And Medium Enterprises ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Value Chains ◽  
Small Scale ◽  
Content Type ◽  
Medium Enterprises

Purpose This paper aims to examine technical efficiency and its determinants in Indian textile garments industry in post-agreement on textiles and clothing regime and evaluate the technical efficiency among micro, small and medium enterprises (MSMEs) firms. Design/methodology/approach This study uses unbalanced panel data for the period 2005–2010 to 2015–2016. The stochastic frontier function is used to estimate technical efficiency and its determinants. Findings The results show that the overall ecosystem of textile garments’ value chains could be improved to enhance the technical efficiency thereof. The result also reveals that small-scale firms have the highest technical efficiency scores, and medium-scale firms have the least technical efficiency score among all the categories of MSMEs. Research limitations/implications The textile garments industry needs to define its innovation strategies, as these strategies lead to different results that can be achieved only through the management of resources dedicated to the generation and implementation of innovations. Practical implications This study has shown that to offset India’s cost disadvantage in the international markets, there is a need to develop an ecosystem of textile manufacturing and value chains, eliminate the inverted duty structure (where inputs are taxed at a higher rate than the final product) and switch over from shuttle looms toward shuttle-less looms. This would unleash the potential of textile and garments industry and make it globally competitive and technically efficient. Further, there will be an alignment with the ease of doing business with an appropriate mix of policy, technology, institution, infrastructure, information and services. Originality/value Using frontier production function takes stochastic context into account for the dynamic character of technical efficiency and its components. Most of the past studies have assessed technical efficiency at the aggregate level using three-digit National Industrial Classification (NIC) or four-digit NIC code. An analysis at higher levels of aggregation masks the variation in technical efficiency. This study used five-digit NIC data to measure the firm-specific technical efficiency of the textile industry. According to the authors’ knowledge, this study is the first of its kind in the Indian textile industry using stochastic frontier approach and panel data. Further, it also looks at the contribution of different determinants in technical efficiency to the firms.

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 Technical Efficiency and Small Scale Maize Producers in Mwanza Region: A Stochastic Frontier Analysis

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Mukole Kongolo
Keyword(s):  
Technical Efficiency ◽  
Best Practice ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Estimation Procedure ◽  
Farm Size ◽  
Small Scale ◽  
Maize Production ◽  
Frontier Analysis

This study measured technical efficiency and its determinants in maize production by small-scale producers in Mwanza region, using a stochastic frontier production function approach. A randomly selected sample of participants in the two districts was used. The Maximum Likelihood estimation procedure was followed to obtain the determinants of technical efficiency and technical efficiency levels of small-scale maize producers. The minimum and maximum values of technical efficiency were between 20% and 91%, indicating that the least practices of specific producer operates at a minimum level of 20%, while the best practice producers  operate  at 91% technical efficiency  level respectively. The summary results of the mean technical efficiency was 63%. The main determinants of technical efficiency were labour, farm size, producer’s experience, producer’s age, family size which were all positive and statistically significant. The findings suggest that the average efficiency of small-scale maize producers could be improved by 37% through better use of existing resources and technology. These findings highlight the need for action by government to assist small-scale maize producers improve efficiency.

Determinants of technical efficiency in agriculture in new EU member states from Central and Eastern Europe

2014 ◽  
Vol 64 (2) ◽  
pp. 197-217 ◽  
Author(s):  
Štefan Bojnec ◽  
Imre Fertő ◽  
Attila Jámbor ◽  
József Tóth
Keyword(s):  
Technical Efficiency ◽  
Rural Areas ◽  
Rural Economy ◽  
Large Scale ◽  
Panel Data Analysis ◽  
Farm Size ◽  
Small Scale ◽  
Member States ◽  
Eu Member States ◽  
New Eu Member States

Technical efficiency in agriculture of 10 new EU member states is analysed by Data Envelopment Analysis and econometric panel data analysis. Technical efficiency in agriculture is significantly positively associated with agricultural factor endowments, average farm size, farm specialisation, small-scale farms, and technological change. Foreign direct investments have an ambiguous effect. Reform and institutional developments, large-scale privatisation and price liberalisation, and urban- rural income gap are associated with technical efficiency in agriculture positively. An increase in technical efficiency in agriculture and the development of the rural economy are seen as a strategy to boost the level of living standards in agriculture and in rural areas.

Regional setting and kinematic features of the Needle Falls Shear Zone, Trans-Hudson Orogen

1993 ◽  
Vol 30 (7) ◽  
pp. 1338-1354 ◽  
Author(s):  
Mel R. Stauffer ◽  
John F. Lewry
Keyword(s):  
Shear Zone ◽  
Simple Shear ◽  
Country Rock ◽  
Shear Zones ◽  
Small Scale ◽  
Lake Zone ◽  
Shear Sense ◽  
Regional Tectonic ◽  
Ductile Shear ◽  
Shear Sense Indicators

Needle Falls Shear Zone is the southern part of a major northeast-trending ductile shear system within the Paleoproterozoic Trans-Hudson Orogen in Saskatchewan. Throughout its exposed length of ~400 km, the shear zone separates reworked Archean continental crust and infolded Paleoproterozoic supracrustals of the Cree Lake Zone, to the northwest, from mainly juvenile Paleoproterozoic arc terrains and granitoid plutons of the Reindeer Zone, to the southeast. It also defines the northwest margin of the ca. 1855 Ma Wathaman Batholith, which forms the main protolith to shear zone mylonites. Although not precisely dated, available age constraints suggest that the shear zone formed between ca. 1855 and 1800 Ma, toward the end of peak thermotectonism in this part of the orogen.In the Needle Falls study area, shear zone mylonites exhibit varied, sequentially developed, ductile to brittle fabric features, including C–S fabrics, winged porphyroclasts (especially delta type), small-scale compressional and extensional microfaults ranging from thin ductile shear zones to late brittle faults, early isoclinal and sheath folds, later asymmetric folds related to compressional microfaults, and variably rotated and (or) folded quartz veins. All ductile shear-sense indicators suggest dextral displacement, as do most later ductile–brittle transition and brittle features. In conjunction with a gently north–northeast-plunging extension lineation, such data indicate oblique east-side-up dextral movement across the shear zone. However, preexisting structures in country rock protoliths rotate into the shear zone in a sense contrary to that predicted by ideal dextral simple shear, a feature thought to reflect significant flattening across the shear zone. Other ductile to brittle fabric elements in the mylonites are consistent with general noncoaxial strain, rather than ideal simple shear. Amount of displacement cannot be measured but indirect estimates suggest approximately 40 ± 20 km.The Needle Falls Shear Zone is too small and has developed too late in regional tectonic history to be considered a crustal suture. Rather, it is interpreted as either a late-tectonic oblique collisional structure or as the result of counterclockwise oroclinal rotation of the southern part of the orogen.

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