An Analysis of Technical Efficiency of Vegetables’ Household Production in Mongolia

Vegetable production is one important agricultural product in crop production after wheat and potatoes production in Mongolia. Currently, household production dominates in total vegetable production (approximately 80 percent). Thus, the purposes of this paper were to measure technical efficiency and to determine influencing factors inefficiency on vegetable household production in Mongolia by using Stochastic production frontier analysis (SFA). Primary data was collected from randomly selected 260 vegetable households of Mongolia in 2019. The empirical result indicated that the average technical efficiency of the sampled vegetable household was 64.6 % (range between 43.2% and 99.9%) or they lost about 35.4% of the potential output due to technical inefficiency. We found that land and labor are the main influencing input factors of the household’s vegetable production. Also, the result of the technical inefficiency model, variables of age, sex, experience, and credit use obtained a negative relationship with inefficiency. The other variables are family size, education level, land fragmentation index was positively affected by technical inefficiency.

Download Full-text

Spatial Dependence Evaluation of Agricultural Technical Efficiency—Based on the Stochastic Frontier and Spatial Econometric Model

Sustainability ◽

10.3390/su13052708 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2708

Author(s):

Ziqi Yin ◽

Jianzhai Wu

Keyword(s):

Spatial Distribution ◽

Technical Efficiency ◽

Spatial Dependence ◽

Stochastic Frontier ◽

Hebei Province ◽

Agricultural Technology ◽

Agricultural Product ◽

Spatial Econometric ◽

Frontier Analysis ◽

The Impact

In recent years, through the implementation of a series of policies, such as the delimitation of major grain producing areas and the construction of advantageous and characteristic agricultural product areas, the spatial distribution of agriculture in China has changed significantly; however, research on the impact of such changes on the efficiency of agricultural technology is still lacking. Taking 11 cities in Hebei Province as the research object, this study examines the spatial dependence of regional agricultural technical efficiency using the stochastic frontier analysis and spatial econometric analysis. The results show that the improvement in agricultural technical efficiency is evident in all cities in Hebei Province from 2008 to 2017, but there is scope for further improvement. Industrial agglomeration has statistical significance in improving the efficiency of agricultural technology. Further, there is an obvious spatial correlation and difference in agricultural technical efficiency. Optimizing the spatial distribution of agricultural production, promoting the innovation, development, and application of agricultural technology, and promoting the expansion of regional elements can contribute to improving agricultural technical efficiency.

Download Full-text

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

Journal of Management and Sustainability ◽

10.5539/jms.v7n4p27 ◽

2017 ◽

Vol 7 (4) ◽

pp. 27 ◽

Cited By ~ 2

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.

Download Full-text

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

International Journal of Strategic Information Technology and Applications ◽

10.4018/ijsita.2016070101 ◽

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.

Download Full-text

A Comparative Study on the Estimation Technical Efficiency for Public Libraries in Korea : Stochastic Production Frontier Analysis and Data Envelopment Analysis

The Journal of Cultural Policy ◽

10.16937/jcp.25.2.201108.193 ◽

2011 ◽

Vol 25 (2) ◽

pp. 193-215 ◽

Cited By ~ 2

Author(s):

Lee, Sangsoo ◽

Han, Ha-Neul

Keyword(s):

Data Envelopment Analysis ◽

Comparative Study ◽

Technical Efficiency ◽

Public Libraries ◽

Data Envelopment ◽

Stochastic Production Frontier ◽

Production Frontier ◽

Frontier Analysis ◽

Stochastic Production

Download Full-text

Stochastic Frontier Analysis on Technical Efficiency of Strawberry Farming in Purbalingga Regency Indonesia

Jurnal Teknosains ◽

10.22146/teknosains.40944 ◽

2020 ◽

Vol 9 (2) ◽

pp. 105

Author(s):

Irene Kartika Eka Wijayanti, ◽

Jamhari Jamhari, ◽

Dwidjono, Hadi Darwanto ◽

Any Suryantini

Keyword(s):

Technical Efficiency ◽

Formal Education ◽

Stochastic Frontier Analysis ◽

Stochastic Frontier ◽

Technical Inefficiency ◽

Factors Affecting ◽

Frontier Analysis ◽

Central Java ◽

Frontier Production Function ◽

Central Java Province

The objective of this study is to determine technical efficiency and factors affecting technical inefficiency of strawberry farming in Purbalingga Regency. This study was conducted in Karangreja Subdistrict, Purbalingga Regency, Central Java Province. Purposive sampling method was utilized to select 100 farmers as the respondents. All of whom have been running their farm business for at least three years consecutively from 2015 to 2017. Stochastic frontier production function was applied to measure technical efficiency and factors affecting technical inefficiency. The findings show that strawberry farming in Purbalingga Regency, Central Java Province, is technically efficient with efficiency number varies between 26.50-99.40% and the average efficiency number of 77.80%. Furthermore, the results indicate that the farmers’ formal education and the number of household members significantly affect the technical efficiency of strawberry farming.

Download Full-text

Measuring Technical Efficiency of the Smallholder Crop Farms Using Stochastic Production Frontier Approach

Asia-Pacific Journal of Rural Development ◽

10.1177/10185291211065222 ◽

2021 ◽

pp. 101852912110652

Author(s):

Mercy Ebere Ndubueze-Ogaraku ◽

Anil Graves

Keyword(s):

Technical Efficiency ◽

Niger Delta ◽

Labour Force ◽

Nutrition Status ◽

Farm Size ◽

Primary Data ◽

Positive Sign ◽

Stochastic Production Frontier ◽

Production Frontier ◽

Stochastic Production

Agricultural productivity in Africa is the lowest in the world with many households not being able to feed themselves. In Africa, women play a major role in agriculture sector constituting about 70–80 per cent of the labour force there. Regrettably, their farm productivity is relatively low mainly due to their inefficient use of farm inputs, which has a serious implication for their socio-economic condition as well as health and nutrition status. With this backdrop in mind, the study investigated the technical efficiency (TE) of the female crop farmers in Niger Delta, Nigeria. Stochastic production frontier approach and ANOVA models were applied to analyse the primary data collected on the 216 female farmers randomly selected from 18 communities of the 3 states in the Delta. It has been found that the farm size and the quantity of labour positively influence TE of these farmers. However, farmer’s age shows a negative sign implying a decrease in technical inefficiency in age whereas the years of schooling shows a positive sign implying an increase in inefficiency with schooling thereby a resulting decrease in TE with schooling. Farm efficiency level in Delta and Akwa Ibom States was not significantly different. However, TE level in both Delta and Akwa Ibom States was significantly different from Rivers State. Since, the age of farmers showed positive influence on TE, farmers should form group and organise regular meetings to enable share knowledge and experiences on the efficient use of farm resources in the Niger Delta Region, Nigeria.

Download Full-text

Measurement and Determinants of Technical Efficiency in Crop Production: A Review

Agricultural Reviews ◽

10.18805/ag.r-2144 ◽

2021 ◽

Author(s):

Isha Sharma ◽

M.K. Sekhon

Keyword(s):

Technical Efficiency ◽

Agricultural Production ◽

Crop Production ◽

Efficiency Analysis ◽

Farm Size ◽

Agricultural Product ◽

Agricultural Crops ◽

Access To Credit ◽

The World ◽

Farmer Education

Output is determined by the efficiency with which available technologies are used i.e. with the improvement in technical efficiency. There are extensive numbers of studies focusing on efficiency as a means of fostering agriculture production. The article reviews the literature devoted to technical efficiency analysis in various countries and its applications to agricultural production. The studies reviewed focused particularly on rice and wheat making them the most studied agricultural product by researchers. The review of efficiency analysis shows that agricultural output can be increased without additional inputs with given existing technology. Technical efficiency of agricultural crops like wheat, paddy, cotton etc grown in different countries of the world like India, Pakistan, Ethopia, Srilanka were reviewed and it was found that except for farm size, the variables like farmer education and experience, contacts with extension personnel and access to credit, tend to have a positive and statistically significant impact on technical efficiency.

Download Full-text

Analysis of technical efficiency of small-scale commercial farmers in Vhembe district

South African Journal of Agricultural Extension (SAJAE) ◽

10.17159/2413-3221/2021/v49n1a10780 ◽

2021 ◽

Vol 49 (1) ◽

pp. 91-104

Author(s):

M. Muzekenyi ◽

J. Zuwarimwe ◽

B.M. Kilonzo

Keyword(s):

Technical Efficiency ◽

Rural Areas ◽

Stochastic Frontier Analysis ◽

Limpopo Province ◽

Small Scale ◽

Stochastic Production Frontier ◽

Frontier Analysis ◽

Commercial Farming ◽

The Government ◽

Vhembe District

Small-scale commercial farmers are regarded as the strategic avenue to achieve meaningful development in rural areas of South Africa. The government acknowledged that the inclusion of small-scale commercial farming in its development strategies. The paper aims to measure the efficiency of small-scale commercial farming enterprises in Vhembe District in Limpopo Province. Quantitative data were collected from 217 small-scale commercial farmers using structured questionnaires. The data were standardized using a farming enterprise budget system and analysed using the maximum likelihood and stochastic frontier analysis. The results revealed that aggregate output was positive and significantly influenced by age, education level, farm experience, farm labour, and government grants. However, the projected stochastic production frontier model combined with the efficiency parameters showed that labour and credit computed a negative effect on technical efficiency. The results indicated that the average level of technical efficiency ranged between 20% and 96% with a mean of 54%. This indicates that there is potential to increase production among small-scale commercial farmers in the study area by 46 % through efficient use of existing resources. As such, the local government should provide necessary supports such as formal agriculture training, access to credit and information to increase productivity.

Download Full-text

Efficiency of Maize Production among Smallholder Farmers in Southwest, Nigeria

Asian Journal of Agricultural Extension Economics & Sociology ◽

10.9734/ajaees/2019/v30i430120 ◽

2019 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

M. A. Abdulaleem ◽

F. M. Oluwatusin ◽

O. S. Ojo

Keyword(s):

Technical Efficiency ◽

Smallholder Farmers ◽

Household Size ◽

Farm Size ◽

Primary Data ◽

Gross Margin ◽

Average Output ◽

Technical Inefficiency ◽

Maize Production ◽

Southwest Nigeria

Maize is cereal crops commonly grown in Nigeria and it is a source of livelihood for many farming households. This study analyzed the resource use efficiency in maize production among smallholder farmers in southwest, Nigeria. A multistage sampling method was used to select two hundred and seventy (270) farmers for this study. Primary data were collected using well-structured questionnaires. Descriptive statistics, gross margin analysis and stochastic frontier production function were used as analytical tools. The results showed that the mean age of the farmers was 47.7 years. Most (76.3%) are males which were married (82.2%) with household size of 5.8. There is high (82.9%) level of literacy among the farmers. The average output of production was 5,038.25kg which were gotten from planting of improved maize seeds (88.5%). Maize cultivation is profitable enterprise because for every ₦1 invested, ₦1.74will be realized as gain. The Maximum Likelihood Estimate (MLE) results revealed that the technical efficiency of maize farmers varied due to the presence of technical inefficiency effects on maize production. Farm size (5%), quantity of fertilizer (10%) and capital input (1%) are the factors significantly affecting technical efficiency. Also, household size (5%), marital status (1%) and gender (10%) are the factors that significantly influence technical inefficiency. The explanatory variables can account for 66% of the total variations in the efficiencies of production, while 34% of the variations are given to error. Policies and programmes that focus on encouraging more young people and women to agriculture should be enacted and implemented.

Download Full-text