Determinants of technical efficiency of potato farmers and effects of constraints on potato production in Northern Ethiopia

2020 ◽  
Vol 56 (5) ◽  
pp. 699-709
Author(s):  
Adino Andaregie ◽  
Tessema Astatkie
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Principal Component ◽  
Sampling Technique ◽  
Potato Production ◽  
Efficiency Score ◽  
Farm Income ◽  
Northern Ethiopia ◽  
Cross Sectional ◽  
Significant Factors

AbstractTo improve the national average yield of potato in Ethiopia, which is very low as compared to its potential, factors that influence technical efficiency of potato production need to be determined. Therefore, the objective of this study was to investigate the determinants of technical efficiency using a cross-sectional data collected from 368 randomly selected potato producers in Northern Ethiopia using a multi-stage sampling technique. The study employed Cobb–Douglas stochastic frontier model to get farm-level technical efficiency scores. Tobit model and principal component analysis were used to determine the factors that influence technical efficiency of farm households. The results revealed that chemical fertiliser, seed potato, plot size and labour are statistically significant factors that affect potato yield. The average technical efficiency score was estimated to be 75%; and education, experience, off-farm income, household size, membership in a farmers’ association, use of irrigation water, extension contact, use of improved seed, access to product market and weak coordination of stakeholders’ were significant factors influencing technical efficiency. The findings of the study suggest that there is a need for government intervention to create strong market linkage between producers and buyers and to give appropriate training to agricultural extension agents.

Profitability analysis and technical efficiency of Sasakawa global 2000 maize technology in Lere Agricultural Zone, Kaduna state, Nigeria

2020 ◽  
Vol 18 (1) ◽  
pp. 20-30
Author(s):  
A.M. Durba ◽  
A. Adewumi ◽  
U. Musa
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Efficiency Score ◽  
Farm Size ◽  
Farm Income ◽  
Gross Margin ◽  
Access To Credit ◽  
Profitability Analysis ◽  
The Mean

The study determined the profitability and technical efficiency of Sasakawa Global (SG-2000) maize technology in Lere Agricultural Zone, Kaduna State, Nigeria. A total of 146 respondents were selected through a multi-stage sampling technique. Data were collected through structured questionnaire administered to the sampled respondents and complemented with interview schedule. Analysis of the data collected was done using descriptive statistics, farm budgeting technique and stochastic frontier function. Results showed that the mean age of SG-2000 adopters was 45years old, 73% of them were males and 81% were married. The mean farming experience of the adopters was 15 years, household size of 8 persons and farm size of 2.26ha respectively. Also, majority of the farmers were members of farmers’ cooperative society and had access to extension services. The farm budgeting technique revealed maize production was profitable in the area with gross margin and net farm income of ₦99,407.76/ha and ₦96,700.80/ha respectively. The maize farmers were not technically efficient with a mean efficiency score of 0.8181. The farm size at p<0.10, seed at p<0.01, fertilizer at p<0.01, capital input at p<0.01 probability levels respectively were efficiency factors, while the sex of farmer at p<0.10, marital status at p<0.10, farming experience at p<0.05 and access to credit at p<0.01 probability levels respectively were the inefficiency factors. It is recommended that other farmers in the study area should adopt the SG-2000 maize technology to improve their level of profitability and technical efficiency. Keywords: Profitability, Technical efficiency, SG-2000 maize technology, Farmers and Kaduna State

Technical Efficiency in Seed Potato Production Systems in Uganda

2018 ◽  
Vol 10 (3(J)) ◽  
pp. 122-140
Author(s):  
Ambrose Rwaheru Aheisibwe ◽  
Razack B. Lokina ◽  
Aloyce S. Hepelwa
Keyword(s):  
Technical Efficiency ◽  
Seed Potato ◽  
Arable Land ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Maximum Likelihood Estimates ◽  
Farm Income ◽  
Seed Potato Production ◽  
Extension Services ◽  
Income Source

This study established the level of technical efficiency and its determinants among the informal and formal seed potato producers in the southwestern highlands agro - ecological zone of Uganda. A multi- stage sampling procedure was employed to select 636 households (499 informal seed producers and 137 formal seed producers) from which data was collected for two seasons using a semi - structured questionnaire. Data was analyzed using the stochastic frontier approach with a one - step approach. Maximum likelihood estimates for the efficiency parameters showed that both informal and formal seed potato producers were not fully efficient. The mean technical efficiency for informal and formal seed potato producers was 8 1 .4 and 80.4 percent respectively. In terms of yield loss, informal and formal seed potato producers respectively lost an average of 981 and 1,208 kg/acre of seed potato tubers due to inefficiency factors . Specifically, off- farm income source, scale of production, seasonal variation, access to extension services and seed producer being male positively influenced informal seed producers’ technical efficiency while producers’ level of education and seed potato variety diversity negatively influenced their efficiency. For formal seed producers, technical efficiency was influenced positively by producers’ education and negatively by household size. The study suggests that there is an opportunity to improve technical efficiency of informal and formal seed producers by 19 and 20 percent respectively. Therefore, this calls for increased investment in developing and promoting high yielding varieties, provision of extension services, input intensification and addressing gender issues in seed potato production in the context of limited arable land .

scholarly journals Technical Inefficiency Determinants in Potato Production: The case of Potato Farmers in Central Highlands of Ethiopia

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Daniel Hailu ◽  
Keyword(s):  
Soil Fertility ◽  
Technical Efficiency ◽  
Land Tenure ◽  
Household Head ◽  
Sampling Technique ◽  
Potato Production ◽  
Farm Size ◽  
Tobit Regression ◽  
Cross Sectional ◽  
Land Fragmentation

The study identified the factors that cause variation in the level of efficiency in potato production. The study used household level cross sectional data collected in 2015/16 from 196 sample farmers selected by multistage sampling technique. For the data collection, a personally administered structured questionnaire was used. In the analyses, descriptive statistics, a stochastic frontier model (SFM) and a two-limit Tobit regression model were employed. Tobit model revealed that technical efficiency was positively and significantly affected by education, land tenure status, extension service, credit and soil fertility whereas variables such as sex of household head, age of household head, farm size and land fragmentation affected it negatively. Therefore the study suggested the need for policies to discourage land fragmentation and promote education, extension visits, access to credit and soil fertility for improvement in technical efficiency.

scholarly journals Factors Affecting Technical Efficiency of Rubber Smallholders in Negeri Sembilan, Malaysia

2017 ◽  
Vol 9 (5) ◽  
pp. 226
Author(s):  
A. Aliyu ◽  
Ismail Abd Latif ◽  
Mad Nasir Shamsudin ◽  
Nolila Mohd Nawi
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Likelihood Function ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Farm Size ◽  
Cross Sectional ◽  
Frontier Analysis ◽  
The Mean ◽  
Size Task

The main objective of the study was to figure out, identify and analyse the technical efficiency of rubber smallholders’ production in Negeri Sembilan, Malaysia. Multi-stage data collection procedures, comprising both purposive and random sampling techniques, were used. Using structured questionnaires, farm-level information with cross sectional data from five districts of Negeri Sembilan, were employed in the study. A parametric Stochastic Frontier Analysis (SFA), with a transcendental logarithmic (Translog) functional form, was used in the study. The descriptive statistics results revealed that, the mean rubber yield was 5465 kg while that of the seven inputs used include 1.2 ha, 602.7, 2.33, 363.6 kg, 13.0 lit, 13.2 man days and 2.47 respectively for farm size, task, farm tools, fertilizer, herbicides, labour and rubber clones.The inferential statistics showed that, the mean technical efficiency was found to be 0.73 with a standard deviation of 0.089. Thus, this translates that 27% accounted for technical inefficiency. Both the sigma square and gamma coefficients were found to be statistically significant at 1% level. The Log Likelihood Function (LLF) and the Log Rati (LR) test were found to be respectively 167.7 and 34.07. The results further revealed that, although none of the farms were found to be on the frontier, however, 9 farms were very near the frontier with efficiency score range between 0.90-0.99. And twenty (20) firms have range 0.80-0.90. Race, Tapping experience, household number and extension agent’s visits were found to be technically significant and are thus critical in determining technical efficiency of rubber smallholders in Negeri Sembilan, Malaysia.

scholarly journals Technical Efficiency of Irish Potato (Solanum tuberosum L.) Production in Molo Sub County, Kenya

2020 ◽  
pp. 1-9
Author(s):  
Pauline Nyokabi Kamau ◽  
Geoffrey Kingori Gathungu ◽  
Rael Nkatha Mwirigi
Keyword(s):  
Technical Efficiency ◽  
Smallholder Farmers ◽  
Solanum Tuberosum L ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Irish Potato ◽  
Likelihood Method ◽  
Negative Effects ◽  
Cross Sectional ◽  
Extension Services

This study focused on measuring farm level technical efficiency among smallholder Irish potato farmers in Molo Sub County and its determinants. Descriptive research design was applied. Cross-sectional data was collected through multistage sampling from smallholder Irish potato farmers located in Molo Sub County from April to June 2019. A Stochastic frontier approach assuming a Cobb-Douglas production function was adopted to analyze the level of technical efficiency and explain variations in this technical efficiency across farmers and estimation was done by applying the maximum likelihood method. Mean technical efficiency was 70.7%. The statistically significant variables with respect to the farm inputs were land (0.262), seed (0.629), fertilizer (-0.299) and fungicide (0.131) variables respectively. However, fertilizer variable had negative effects on Irish potato production. Education (-0.061), gender (-0.262), access to extension services (-0.078) and farmer group (-0.217) variables were significant and influenced technical inefficiency negatively.Increase in smallholder farmers’ literacy level, accessibility to extension services and farmer groups may improve Irish potato production technical efficiency. However, gender contribution towards Irish potato production technical efficiency needs a deeper understanding.

Economics of sweet potato production in Yenagoa Local Government Area of Bayelsa State, Nigeria: A Stochastic Approach

2021 ◽  
Vol 2 (1) ◽  
pp. 015-022
Author(s):  
NC Morgan ◽  
O Bethel ◽  
PO Aluge
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Sweet Potato ◽  
Agricultural Development ◽  
Sampling Technique ◽  
Fish Farming ◽  
Potato Production ◽  
Stochastic Approach ◽  
Local Government Area ◽  
Farm Income

The study examines the technical efficiency and profitability of sweet potato production in Yenagoa Local Government Area of Bayelsa State, Nigeria. A total of one hundred sweet potato farmers were selected through a multi-stage sampling technique. Data collected were analysed using descriptive statistics, budgetary analysis and stochastic approach. The average age of the farmers was 35 years, majority (54%) of the sweet potato farmers were males, majority (87%) of the farmers had one form of education, average fish farming experience of the farmers was 9 years, and majority (55%) of the sweet potato farmers were married. The result of production function depicts the coefficient of multiple determinations (R2) to be 41%. It further shows that the relationship between output and farming experience which had a coefficient of 0.11 was positive indicating that as years of farming experience increased, the amount of output increased. Moreover, the mean technical efficiency was 0.73 with minimum and maximum efficiencies of 0.19 and 1.76 respectively. Total Cost (TC) was ₦20,755.53while total returns were ₦31,715.20 with Net Farm Income (NFI) of ₦10,959.67. Return on investment was ₦0.53, which implies profitability of sweet potato production in the study area. The study also identified inadequate finance, lack of land, and high cost of labor as the major problems faced by the farmers. Government is therefore recommended to support in terms of revitalization and prioritizing funding of extension delivery system of the state owned Agricultural Development Programmes (ADPs).

scholarly journals Technical Efficiency of Wheat Producers in North Shewa Zone of Amhara Region, Central Ethiopia

2020 ◽  
Vol 9 (3) ◽  
pp. 77
Author(s):  
Tadesse Getachew ◽  
Mengistu Ketema ◽  
Degye Goshu ◽  
Degnet Abebaw
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Sampling Technique ◽  
Estimation Procedure ◽  
Simple Random Sampling ◽  
Farm Income ◽  
Technical Inefficiency ◽  
Central Ethiopia ◽  
Multi Stage

The aim of this study is to analyze technical efficiency of wheat producers and identifying the sources of inefficiency in North Shewa Zone of Amhara National Region State, Central Ethiopia. A multi-stage sampling technique was used to select sample respondent households. In the first phase, three potential wheat grower districts namely, Bassona Worrana, Siyadebrna Wayu, and Moretna Jiru were selected purposively. In the second stage, six potential kebeles (lowest administrative level), two from each of the three districts were selected. In the third phase, proportionally with population size, 374 sample households were selected using simple random sampling techniques from each of the selected kebeles. Cobb-Douglas Stochastic Frontier Production (SFP) function and inefficiency function were used to estimate the technical inefficiency level of wheat producers using a one-step maximum likelihood estimation procedure. The average productivity of wheat was found to be 32.60 quintals per hectare. Land size, fertilizer, seed, labor, and oxen power were important factors of production positively and significantly affecting wheat output. Age and education level of a farmer, off-farm income, extension contact, and credit services were found negatively and significantly affecting the technical inefficiency of wheat producing farmers. The inefficiency components contributed about 70.62% of the total deviation from the best possible production output. The average technical efficiency (TE) level of wheat producers was 72%. Overall, the provision of fertilizers, credit, and extension services would make wheat producers more productive and technically efficient in the study area.

scholarly journals The Impact of Credit on Technical Efficiency Among Vegetable Farmers in Swaziland

2014 ◽  
Vol 4 (1) ◽  
pp. 114 ◽  
Author(s):  
Micah B. Masuku ◽  
M. O. Raufu ◽  
Nokwanda G. Malinga
Keyword(s):  
Technical Efficiency ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Farm Income ◽  
Green Pepper ◽  
Access To Credit ◽  
Vegetable Farmers ◽  
The Government ◽  
The Impact

<p>Access to credit is regarded as an important intervention for improving the incomes of the rural population, mainly by mobilizing resources to more productive uses. Production of vegetables by smallholder farmers in Swaziland is inconsistent and lower than the national demand, hence the gap is filled by imports from South Africa. The purpose of the study was to assess the influence of credit on technical efficiency of smallholder vegetable farmers in Swaziland. Data were collected in 2013 from farmers through a structured questionnaire, which was administered using personal interviews. A two-stage sampling procedure was used by stratifying the vegetable farmers in the Hhohho region according to the four Rural Development Areas (RDAs). This was followed by a simple random sampling technique used to select the number of vegetable farmers from each stratum. A sample size of 120 farmers was selected from a population of 289. The Stochastic Frontier production function was used to analyze the data using the STATA program (version 12). The results revealed that credit had a negative effect on technical efficiency of cabbage and green pepper farmers, while it had a positive effect on the technical efficiency of tomato, and beetroot farmers. The technical efficiency of tomatoes and cabbage farmers was affected by age, education level, farming experience and access to credit (p &lt;0.01), while beetroot and green pepper was affected by farmer’s age, and off-farm income. (p&lt;0.05). The study recommended that vegetable farmers should increase the amount of seeds, fertilizer and chemicals used in order to improve yields. The Government of Swaziland should subsidize farming inputs and financial institutions should make credit more available to agribusinesses in order to improve the efficient use of input resources.</p>

scholarly journals Technical Efficiency of Soybean Farms and Its Determinants in Saboba and Chereponi Districts of Northern Ghana: A Stochastic Frontier Approach

2013 ◽  
Vol 2 (4) ◽  
pp. 106 ◽  
Author(s):  
Prince Maxwell Etwire ◽  
Edward Martey ◽  
Wilson Dogbe
Keyword(s):  
Technical Efficiency ◽  
Value Chain ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Northern Ghana ◽  
Stochastic Frontier Approach ◽  
Cross Sectional ◽  
Multi Stage ◽  
Short Run ◽  
Structured Questionnaire

<p>This study analyzes the level and determinants of technical efficiency of soybean farms in the Saboba and Chereponi districts of northern Ghana. A multi-stage sampling technique was used to select 200 soybean farmers from which cross-sectional data was collected using a structured questionnaire. Data collected includes farmers’ socio-economic characteristics such as age and education as well as input and output quantities and prices. Data was analyzed using the stochastic frontier approach. Results showed a mean technical efficiency estimate of 53 percent and the return to scale was 0.75. Location of farm, participation in the Agricultural Value Chain Mentorship Project and age of farmer were found to be important in explaining technical inefficiency among soybean farmers. This implies that farmers in the short run can increase their production by 47 percent by adopting practices of the best soybean farms in Saboba and Chereponi districts of northern Ghana.</p>

scholarly journals Technical Efficiency of Moringa Production: A case Study in Wolaita and Gamo Zones, Southern Ethiopia

2020 ◽  
Vol 9 (2) ◽  
pp. 30
Author(s):  
Alula Tafesse ◽  
Degye Goshu ◽  
Fekadu Gelaw ◽  
Alelign Ademe
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Survey Study ◽  
Southern Ethiopia ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Development Direction ◽  
Significant Factors

Moringa has been becoming among vastly growing and trading commodities in different parts of Ethiopia for its multiple benefits. However, empirical researches analyzing its productivity at smallholder farmer level were missing. This study aimed to fill the existing gap with a cross-sectional survey study on sampled 117 Moringa producer farmers from southern Ethiopia. The Stochastic Frontier Model was used to estimate the level and factors determining the technical efficiency of Moringa production. The collected data fitted Cobb-Douglas production function with inputs, labor and the numbers of trees positively and significantly determined the output of Moringa. An estimated level of efficiency shows farmers have the possibility to increase Moringa output by 47.81% with existing inputs and technology. The land, off-farm activities, access to road, credit, and irrigation were significant factors affecting the technical efficiency of Moringa. It requires policies and development actions to perform on mechanisms to advance the production of Moringa. Hence, any development direction to enhance Moringa production should consider households with limited access to land and irrigation. Furthermore, the development of road infrastructure is required to increase agricultural productivity. In sum, modern credit institutions, as well as facilities, found essential to improve the livelihood of Moringa producers in the area.

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