scholarly journals Technical Efficiency in Small Tea Gardens of Assam

2020 ◽  
Vol 25 (1) ◽  
pp. 112-130
Author(s):  
Karabi Das ◽  
Debarshi Das
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
The State ◽  
Policy Implications ◽  
Primary Data ◽  
Stochastic Frontier Model ◽  
Technical Inefficiency

Although Assam has been the leading producer of tea in India, the small tea growers are a new phenomenon in the state. In the last four decades this sector has experienced tremendous growth. Owners of small plots in the hinterland of eastern Assam have taken to small tea cultivation. The sector has a potential to mitigate underdevelopment; but one needs to understand if there is technical inefficiency in its production. This paper affirms the presence of technical inefficiency and investigates its sources. Our research is based on primary data collected across five districts of eastern and central Assam. Stochastic frontier model has been used to ascertain technical inefficiency. Policy implications are spelled out in the end.

scholarly journals Credit Constraint and Technical Efficiency of Smallholder Cassava Farmers in Osun State, Nigeria

Agricultura ◽  
2019 ◽  
Vol 16 (1-2) ◽  
pp. 27-33
Author(s):  
Ayodeji Damilola Kehinde ◽  
◽  
Muyiwa Sunday Olatidoye ◽  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Sampling Procedure ◽  
Descriptive Statistics ◽  
Primary Data ◽  
Stochastic Frontier Model ◽  
Credit Constraint ◽  
Access To Credit ◽  
Multi Stage ◽  
Cassava Production

This study investigated the effect of credit constraint on technical efficiency of smallholder cassava farmers in Osun State, Nigeria. A structured questionnaire was used to collect primary data from 200 smallholder cassava farmers using a multi-stage sampling procedure. Data collected were analysed using descriptive statistics and stochastic frontier model. Results from the descriptive statistics showed that majority (81%) of the cassava farmers were male with the mean age of 44.1 (±14.9) years. About 86% of the respondents were married with mean household size of 6.9 (±3.5) persons. The results further revealed that 65% of the farmers were credit constrained. Results obtained from the stochastic frontier model showed that smallholder cassava farmers had an average technical efficiency of 73.6% in cassava production. The empirical results from the frontier model showed that man-day of labour significantly influence the technical efficiency of smallholder cassava farmers in Osun State. However, access to credit, amount of credit constrained and years of education were the major sources of technical inefficiencies among smallholder cassava farmers. The study concluded that majority of smallholder cassava farmers were credit constrained, as the amount of credit they received is not sufficient for their production which subsequently affected their technical efficiency. It was recommended that organizations giving agricultural credits to cassava farmers should enhance their credit services. This will assist smallholder cassava farmers to improve their technical efficiency.

scholarly journals Analysis of technical efficiency of smallholder tomato producers in Asaita district, Afar National Regional State, Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257366
Author(s):  
Dagmawe Menelek Asfaw
Keyword(s):  
Technical Efficiency ◽  
Statistical Significance ◽  
Stochastic Frontier ◽  
Maximum Likelihood Estimates ◽  
Primary Data ◽  
Farm Income ◽  
Stochastic Frontier Model ◽  
Related Factors ◽  
Access To Credit ◽  
Regional State

The tomato had nutritional, economic and health benefits to the societies, however, its production and productivity were low in developing countries and particularly in Ethiopia. This might be due to technical inefficiency caused by institutional, governmental, and farmers related factors. Therefore this study tried to investigate the factors that affecting technical efficiency and estimating the mean level of technical efficiency of tomato producers in Asaita district, Afar Regional State, Ethiopia. Both primary and secondary data sources were used; the primary data was collected from 267 tomato producers from the study area cross-sectional by using a multistage sampling technique. The single-stage stochastic frontier model and Cobb Douglas production function were applied and statistical significance was declared at 0.05. The maximum likelihood estimates of the stochastic frontier model showed that land, labor, tomato seed, and oxen have a significant effect on tomato output; and education, extension contact, training, and access to credit have a positive and significant effect on technical efficiency, whereas household size, off-farm income, livestock ownership, distance to market, and pesticides have a worthy and significant effect on technical efficiency; and also estimated mean technical efficiency of tomato producer in a study area was 80.9%. In a line with this, the responsible body should prioritize rural infrastructure development in areas such as education, marketplace, and farmer training centers; demonstrate access to credit and extension services; use the recommended amount of pesticides per hectare, and give more intension to mixed farming rather than animal husbandry exclusively.

scholarly journals EFISIENSI TEKNIS USAHATANI KEDELAI PADA LAHAN TADAH HUJAN DAN LAHAN KERING DI KABUPATEN PIDIE JAYA, ACEH

2017 ◽  
Vol 7 (1) ◽  
pp. 21-34
Author(s):  
Muhammad Ismail ◽  
Anna Fariyanti ◽  
Amzul Rifin
Keyword(s):  
Technical Efficiency ◽  
Formal Education ◽  
Negative Impact ◽  
Positive Impact ◽  
Function Analysis ◽  
Stochastic Frontier ◽  
Primary Data ◽  
Potential Yield ◽  
Technical Inefficiency ◽  
Land Type

National soybean productivity was reach 1,45 tons per hectare, while the potential yield reach 2,0-3,0 tons per hectare. The aim of this study was to analyze the factors affecting technical efficiency, and sources of technical inefficiency of soybean farming. This study used primary data that were obtained from 100 farmers purposively, those data were analyzed by production function analysis that stochastic frontier to analyzed the factors that influence the production of technical efficiency of soybean farming. The results showed that the variable land, solid fertilizer, liquid fertilizer, pesticide solid, liquid pesticides, and labor have a positive impact, while the variable seed has a negative impact on technical efficiency of soybean farming. The source of technical inefficiency such as the age of the farmer, and experience farming soybean have negative and significant impact on technical inefficiency of soybean farming. Otherwise, the formal education, old farming, the number of dependents, and the dummy variable (following the extension and land type) have a positive impact but not significant to technical inefficiency of soybean farming in Pidie Jaya, Aceh Province.

scholarly journals Estimation of technical efficiency of black cumin (Nigella sativa L.) farming in northwest Ethiopia: a stochastic frontier approach

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Abebe Birara Dessie ◽  
Tadie Mirie Abate ◽  
Betelhem Tsedalu Adane ◽  
Tiru Tesfa ◽  
Shegaw Getu
Keyword(s):  
Technical Efficiency ◽  
Nigella Sativa ◽  
Stochastic Frontier ◽  
Market Price ◽  
Northwest Ethiopia ◽  
Flowering Plant ◽  
Yield Potential ◽  
Stochastic Frontier Model ◽  
Black Cumin ◽  
The Mean

Abstract Ethiopia is one of the east African countries which produce and exports various spices to other countries. Black cumin (Nigella sativa L.) is an important stiff annual flowering plant which mainly grows by producers for its seeds. An increasing demand of black cumin seed and oil in local, national and international market for medicinal, consumption and commercial purpose makes the best alternative crop for small holder farmers in Ethiopia. In spite of its importance, not much has been done to improve its production and productivity in Ethiopia. Therefore, this research was designed to examining efficiency variations and factors influencing technical inefficiency levels of producers on black cumin production in northwest Ethiopia. Primary data were collected using a semi-structured questionnaire administered on 188 black cumin producers selected using systematic random sampling technique. Moreover, various data analysis methods such as descriptive statistics and stochastic frontier model were used for analyzing the data. The empirical result obtained by applying maximum likelihood estimate of stochastic frontier model revealed that seed (p < 0.01) labor (p < 0.05), chemical (p < 0.01) and land (p < 0.05) were significant input variables in determining black cumin production. The mean technical efficiency level of black cumin producer was generally low, about 53.1%. The mean value of actual yield, potential yield and yield gap was 3.131, 5.832 and 2.701 quintals, respectively. Moreover, the result of stochastic frontier model together with the inefficiency parameters revealed that market price of black cumin (p < 0.01) and access of extension service (p < 0.1) were significant variables and positively influenced the efficiency levels of black cumin producers. Whereas age of producers (p < 0.05) and distance to farm plot (p < 0.01) negatively influenced the technical efficiency levels of black cumin producers. Therefore, the study recommends that adoption of latest agricultural technologies; development of institutions, agricultural extension services and infrastructure are advisable to improve the efficiency and commercial value of black cumin production.

scholarly journals Technical Efficiency of Smallholder Tomato Production in Semi-Urban Farms in Cameroon: A Stochastic Frontier Production Approach

2017 ◽  
Vol 7 (4) ◽  
pp. 27 ◽  
Author(s):  
Martin Paul Jr. Tabe-Ojong ◽  
Ernest L. Molua
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Research Question ◽  
Stochastic Frontier ◽  
Negative Influence ◽  
Farm Size ◽  
Primary Data ◽  
Tomato Production ◽  
Frontier Analysis

Agriculture is the mainstay of Cameroon’s economy as it serves the purposes of food, livelihood and employment. Nevertheless, the country’s agriculture is plagued by low productivity and inefficiency in production. One of the main reasons for low productivity is the inability of farmers to fully exploit available technologies and production techniques. An important research question that comes to mind is, what are the major factors that hinder the technical efficiency of smallholder farmers? This study thus aimed to determine the level of technical efficiency in the production of tomato in smallholder farms, relying on primary data collected using a structured survey instrument administered to 80 tomato farmers in the Buea municipality of Cameroon. Data was analyzed using descriptive statistics and a stochastic frontier analysis method in the Cobb-Douglas production function. The STATA.14 software was used to obtain both stochastic frontier estimates and the determinants of technical efficiency. The results indicate that farmers are not fully technically efficient with a mean technical efficiency score of 0.68 with one farmer operating on the frontier. The study also revealed that most of the farmers irrespective of the size of the holdings have shown technical inefficiency problems. The older farmers were observed with the best measures of technical efficiency. Education, age and the adoption and practice of agronomic techniques had a positive and significant influence on technical efficiency while the nearest distance to the extension agent had a rather negative influence on technical efficiency. The input-output relationship showed that the area of tomato cultivation and the quantity of improved seed used were positive and significantly related to output at the 5% level of probability. As a result, it is recommended that farmers should increase their farm size, use of improved seeds and the adoption and practice of novel techniques in production. More emphasis should be placed on extension agents as they have a significant role to play in terms of improving and augmenting farmers’ education and information base through on farm demonstrations and result oriented workshops as all this will ensure increased production and productivity thereby increasing technical efficiency and achieving food self-sufficiency.

scholarly journals Technical Efficiency and Output Losses in Shrimp Farming: A Case in Mekong Delta, Vietnam

Fishes ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 59
Author(s):  
Keo Sa Rate Thach ◽  
Hong Tu Vo ◽  
Ji-Yong Lee
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Mekong Delta ◽  
Shrimp Farming ◽  
Primary Data ◽  
Traditional Group ◽  
Black Tiger Shrimp ◽  
Tiger Shrimp ◽  
Average Loss ◽  
Study Sites

The conversion from black tiger shrimp farming and crop farming to white leg shrimp production is widespread in Vietnam’s Mekong Delta provinces. However, this conversion trend also contains many risks related to the technical aspects of the production process. The study mainly aims to estimate the technical efficiency of white leg shrimp farming. It also compares the technical efficiency of white leg shrimp farming between the traditional group that historically has cultivated white leg shrimp and the group that recently converted from black tiger shrimp and crops to white leg shrimp, in order to evaluate the efficiency and adaptability of shrimp farming. Primary data were collected by directly interviewing 99 farmers in traditional areas and 101 farmers in recently converted areas in the study sites and analyzed by using the stochastic frontier method. The calculated technical efficiency was around 72.9 percent, suggesting that farmers could increase their output level by about 27.1%, given constant inputs. There was no difference in the technical efficiency of the two groups, indicating that the converted farms have sufficient adaptability when switching to white leg shrimp farming. The output loss in farmers’ production is still very high, with an average loss of 1973 kg/hectare.

Stochastic Frontier Model Approach of Technical Efficiency for Paddy Farming in Odisha

2020 ◽  
pp. 1135-1140
Author(s):  
Priyabrata Bhoi ◽  
Deepak Kumar Swain ◽  
Subhadra Mishra ◽  
Debahuti Mishra ◽  
Gour Hari Santra ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Stochastic Frontier Model ◽  
Model Approach

A Stochastic Frontier Analysis of Exporting Small and Medium Sized Enterprises in India

2016 ◽  
Vol 7 (3) ◽  
pp. 1-23
Author(s):  
Manoj Kumar
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
Key Factors ◽  
Technical Inefficiency ◽  
Frontier Analysis ◽  
Efficiency Performance ◽  
Size Firm ◽  
Almost All

This study employs a stochastic frontier analysis (SFA) and technical inefficiency effects model to predict the technical efficiency of 3,168 Indian manufacturing and exporting SMEs, analyze their returns to scale and key factors impacting on their technical efficiency. Indian manufacturing and exporting SMEs extensively rely on labor rather than capital to increase their output, including almost all exporting SME groups, except those exporting to North & South America. The production of Indian manufacturing SMEs exporting to Oceania, however, has increasing returns to scale (1.1965). The inefficiency effects model reveals that firm size, firm age, foreign ownership, location and government assistance are firm-specific factors that significantly affect the technical inefficiency of production. Finally, evidence-based policies are also provided to facilitate improvement in the technical efficiency performance of Indian manufacturing and exporting SMEs.

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