scholarly journals Technical Efficiency of Cassava Production in Ardo-Kola Local Government Area of Taraba State, Nigeria

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Emmanuel A. Zubairu ◽  
Andefikir D. Kasari ◽  
Abubakar U. Jongur
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Local Government Area ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Extension Agents ◽  
Frontier Analysis ◽  
Cassava Production

— This study used stochastic frontier Analysis to estimate the technical efficiency of cassava production in Ardo-kola Local Government Area of Taraba state. A multi-stage sampling was employed in selecting 142 respondents in the study area. The maximum likelihood estimates of the stochastic frontier production function revealed that farm size, family labour, cassava cutting planting and fertilizer were significantly and positively related to cassava output. Technical efficiency (TE) scores ranged from 0.43 to 0.96 with a mean TE of 0.74, implying that there is a scope for increasing technical efficiency in cassava production by 0.26 in short run under current technology. The study proffered the following recommendations; That Cassava farmers should have access to extension agents to increase their probability of being productive and efficient, policy should be targeted to provide adequate training to extension agents to enhance their performance to their clientele.

Economic analysis of cassava production in Ogbia Local Government Area, Bayelsa State

2021 ◽  
Vol 1 (2) ◽  
pp. 001-008
Author(s):  
NC Morgan ◽  
DA Wasini ◽  
IE Larry
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Local Government Area ◽  
Production Model ◽  
Farm Size ◽  
Cost Ratio ◽  
Gross Margin ◽  
Benefit Cost Ratio ◽  
Cassava Production

The study was carried out to analyze “the Economics of cassava production in Ogbia Local Government Area of Bayelsa State, Nigeria”. The specific objectives of the study were to describe the socio-economic characteristics of cassava farmers; analyze costs and returns of producing cassava; determine technical efficiency; determine factors influencing technical efficiency of cassava farmers; and Identify constraints associated with cassava production in the study area. The sample of (94) cassava farmers was drawn from (10) communities in Ogbia and structured questionnaires were administered. Descriptive statistics, Translog Stochastic Frontier Production Model (SFPM) and budgetary model were used to analyze the data. Female (87.23%) dominated cassava production. 74% falls within the age of 21-50 years. Majority were married (65%) and 54.26% had a family size of 6-10. 52.13% of the respondents were basically farmers and all of them get there source of income for farming from personal savings and 72.34% used both family and hired labour in the production of cassava with 58.51% of them having farm size ≤0.5. The study further reveals that the gross margin was ₦521,313.50 and the profitability index was 64.07, while the rate of return on investment was 178.31, benefit-cost ratio of 2.8 proving the viability of cassava production in the study area. Lack of credit facilities, high spread of disease, lack of land were the major constraints faced by the farmers. Loans and grants should be made available to farmers either by government agencies or rather programs to fund cassava production should be created.

scholarly journals Measurement of Technical Efficiency of Women Cassava Farmers in Ankpa Local Government Area, Kogi State, Nigeria

2020 ◽  
pp. 93-101
Author(s):  
S. I. Audu ◽  
A. A. Girei ◽  
H. S. Umar
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Land Tenure ◽  
Stochastic Frontier ◽  
Local Government Area ◽  
Farm Size ◽  
Simple Random Sample ◽  
Cassava Production ◽  
Land Tenure System ◽  
Positive Coefficients

The study was about technical efficiency of women cassava farmers in Ankpa Local Government Area of Kogi State, Nigeria. A simple random sample of 120 women cassava farmers were interviewed with a structured questionnaire and information concerning their socioeconomic attributes, revenue realized and cost incurred in cassava production were obtained. The data were analysed with the use of stochastic frontier Cobb-Douglas production function and the inefficiency model. Results indicated that farm size, family labour, hired labour, equipment depreciation, cassava stems, fertilizers and transportation had positive coefficients and thus influenced cassava output positively.  Education, household size, farming experience and extension visits increased farmers’ technical efficiency. Many farmers had high technical efficiency. The mean technical efficiency was 76 percent with a maximum of 98 percent technical efficiency. Recommendation made to improve cassava production were making farm inputs available at affordable prices, review of land tenure system, opening up of more credit agencies and increase extension visits among others.

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 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.

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 Farm Structure And Efficiency In The Hungarian Agriculture

2015 ◽  
Vol 4 (2) ◽  
pp. 51-56
Author(s):  
Orsolya Tóth ◽  
István Takács
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Farm Size ◽  
Empirical Literature ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Legal Forms ◽  
On Farm

Abstract It has long been the subject of empirical researches to examine the technical efficiency on farm (micro) level. Two main methods are most often used in the empirical literature: the non-parametric Data Envelopment Analysis (DEA) based on linear programming, and the Stochastic Frontier Analysis (SFA) introduced by Aigner, Lovell and Schmidt (1977). The present study aimed to investigate the technical efficiency of farms involved in agricultural activities in Hungary using the DEA-method and the data from the Hungarian FADN database. The technical efficiency was examined based on legal forms, farm size categories and the type of farming between 2001 and 2013.

scholarly journals Estimation of technical efficiency of Czech farms operating in less favoured areas

2019 ◽  
Vol 65 (No. 10) ◽  
pp. 445-453
Author(s):  
Tamara Rudinskaya ◽  
Tomas Hlavsa ◽  
Martin Hruska
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Agricultural Area ◽  
Farm Size ◽  
Identification System ◽  
Accounting Data ◽  
Frontier Analysis ◽  
The Impact

This paper deals with the technical efficiency analysis of farms in the Czech Republic. The empirical analysis provides an evaluation of technical efficiency with regard to the farm size, farm specialisation, and farm location. Accounting data of Czech farms from the Albertina database for the years 2011–2015 were used for the analysis. The data were classified by the utilised agricultural area and location of the farm expressed as a less favoured area type from the Land Parcel Identification System (LPIS) database. Research was conducted using the translogarithmic production function and Stochastic Frontier Analysis. The results indicate positive impact of farm size, expressed by utilised agricultural area, on technical efficiency. The analysis of the impact of farm specialisation on technical efficiency verified that farms specialised on animal production are more efficient. The lowest technical efficiency is shown by farms situated in mountainous Less Favoured Areas (LFAs), the highest technical efficiency by farms located in non-LFA regions.

scholarly journals Technical Efficiency of Sweet Potato Production: A Stochastic Frontier Analysis

2021 ◽  
Vol 9 (8) ◽  
pp. 1344-1356
Author(s):  
Godfrey C. Onuwa ◽  
Solomon T. Folorunsho ◽  
Ganiyu Binuyo ◽  
Mercy Emefiene ◽  
Onyekwere P. Ifenkwe
Keyword(s):  
Technical Efficiency ◽  
Sweet Potato ◽  
Goodness Of Fit ◽  
Stochastic Frontier Analysis ◽  
Production Systems ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Utilization Efficiency ◽  
Farm Size ◽  
Frontier Analysis

The level of yield among sweet potato farmers is on a decline; low output and yield differences was observed, indicating the existence of inefficiency in production systems and variations in input utilization. Efficiency in resource use must be sustained in order to improve productivity and maximize farm output. This study therefore analyzed the technical efficiency of sweet potato production. Multi-stage sampling techniques were adopted in selecting 94 respondents for this study. Data collected was analyzed using descriptive statistics and stochastic frontier production function. The socioeconomic variables of the respondents affected their farm efficiency and level of farm output. The estimated ratio of the L/R test was 0.579; indicating a goodness of fit of the frontier model and thus a rejection of the null hypothesis. The coefficients of sweet potato seeds (vines) (0.362) and labour (0.439) were positive and statistically significant at 5% level of probability, while the coefficients of farm size (-1.333), fertilizer (-0.452) and herbicides (-0.766) were negative but statistically significant at 5% level of probability. The inefficiency model revealed that the coefficient of farm capital (-0.172), education (-2.281), access to credit (-0.472), farming experience (-0.639), extension contact (-0.733) and membership of cooperatives (-0.396) were negative and statistically significant at 5% level of probability. The mean technical efficiency was 0.62 (62%) implying that the sweet potato farmers in the study area were not producing at optimal capacity. The constraints identified significantly affected sweet potato production in the study area. Subsidizing input costs; sensitizing farmers on appropriate farming practices, cooperative formation and efficiency in resource utilization; improving access to agricultural inputs, technology, farm capital, credit and extension services, market linkages, farm labour supply and the development of indigenous technologies in sweet potato production are strongly recommended.

Does household engagement in concurrent business affect the farm size-technical efficiency relationship in grain production?

2019 ◽  
Vol 11 (1) ◽  
pp. 125-142 ◽  
Author(s):  
Min Zhong ◽  
Yuchun Zhu ◽  
Qihui Chen ◽  
Tianjun Liu ◽  
Qihua Cai
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Negative Relationship ◽  
Northern China ◽  
Farm Size ◽  
Farm Income ◽  
Content Type ◽  
Frontier Analysis ◽  
Two Factors

Purpose The purpose of this paper is to examine how households’ engagement in concurrent business (CB), which is measured by the contribution of off-farm income to household income, affects the farm size–technical efficiency (TE) relationship in Northern China. Design/methodology/approach This paper applies a stochastic frontier analysis method to analyze data on 1,006 rural households collected from four major wheat-producing provinces in Northern China, adopting a translog specification for the underlying production function. Findings The analysis yields three findings. First, the farm size–TE relationship is inverted U-shaped for all CB engagement levels higher than 5 percent, and the most technically efficient farm size increases with the level of household CB engagement. Second, how TE varies with the level of CB engagement depends on farm size: an inverted-U relationship for relatively small farms (<10μ), a positive relationship for middle-size farms (10–20μ), and a negative relationship for large farms (>20μ). Finally, the overall TE score, 0.88, suggests that wheat output can be increased by 12 percent in Northern China if technical inefficiency were eliminated. Originality/value Unlike most previous studies that examine the impacts of farm size and households’ off-farm business involvement separately, this paper examines how these two factors interact with each other.

scholarly journals Technical Efficiency of Plantain Production in Ekiti Southwest Local Government Area of Ekiti State, Nigeria

2018 ◽  
Vol 8 ◽  
pp. 1203-1213
Author(s):  
Rufus Sunday Owoeye ◽  
F. O. Osundare
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Descriptive Analysis ◽  
Stochastic Frontier ◽  
Local Government Area ◽  
Production Model ◽  
Farm Size ◽  
Small Scale ◽  
Access To Credit ◽  
Pests And Diseases

This study examined the technical efficiency of plantain production in Ekiti Southwest Local Government Area (LGA) of Ekiti State, Nigeria. The study used multistage sampling techniques for data collection. Data were collected from 90 plantain farmers through well-structured questionnaires from the LGA with three towns purposively selected. The collected data were analyzed using descriptive statistics, budgetary analysis and stochastic frontier production model. Results from descriptive analysis showed that 48.88 percent of the plantain farmers had secondary education and above. Majority of the respondents (66.67 percent) had between 5 and 8 members that made up the household in the study area. Findings further showed that majority of the respondents produced on small scale with average plantain farm size of 0.96 hectares. The farmers were fairly experienced with 44.44 percent of them had more than 15 years of farming experience. With mean profit of ₦251,500 per hectare and percentage profit of 63.11 percent, the venture was considered to be highly profitable. Farmers who invested ₦1 realized revenue of ₦0.63. The RTS parameter (0.931) was obtained from the summation of the coefficients of the estimated inputs (elasticities) which indicated that plantain production in the study area was in Stage II of the production surface meaning that these variables were efficiently utilized. Depreciation, hired labour, family labour, farm size and quantity of suckers planted were the significant variables that influence efficiency of the plantain farmers. Age, land acquisition and access to credit contributed significantly to technical inefficiency. Among the most prevalent constraints were; price fluctuation (72.22%), heavy wind (70.00%), high cost of farm input (68.89%), pests and diseases and pilferage (63.33%) each, insufficient credit facility, storage facility and poor agricultural extension services (62.22%) respectively.

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