scholarly journals Determinants of technical efficiency in cotton production in the southern cotton growing zone of Nigeria: A stochastic production frontier approach

2019 ◽  
Vol 2 (02) ◽  
pp. 58-63
Author(s):  
MUYIWA SUNDAY OLATIDOYE ◽  
TAIWO ALIMI ◽  
ADEBAYO AKINBOYE AKINOLA
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Chemical Properties ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Cotton Production ◽  
Stochastic Production Frontier ◽  
Cotton Farmers

Abstract. Olatidoye MS, Alimi T, Akinola AA. 2018. Quality assessment of the physico-chemical properties of vermiwash produced from different sources during successive storage periods. Asian J Agric 2: 58-63. The study investigated on socio-economic factors and estimated the technical efficiency indices and factors influencing technical efficiency of the sampled cotton farmers in the Southern Cotton growing zone of Nigeria. A multistage sampling technique was employed to select a total sample of 300 cotton farmers. The study made use of only primary data which was collected through the aid of a well-structured questionnaire. The data were analyzed using descriptive statistics and stochastic frontier production parametric model. The results of the descriptive statistics showed that majority (83%) of the cotton farmers in the study area were males while the mean age of the respondents was 49 years. The average household size was 8 persons per household and majority (69%) of the respondents had formal education. Majority of the respondents (59%) had no access to credit facilities while majority (80.4%) of the cotton farmers had reasonable years of experience ranging between 11 and above in cotton production. Furthermore, the study found that the technical efficiency of the farmers range from 0.35 and 0.99 with a mean of 0.79. This indicates ample opportunity for farmers to increase their productivity through improvement in their technical efficiency. Seed, fertilizer, pesticides and farm size were found to be statistically significant and positively related to farmers’ output while education, credit, extension contact and farming experience of the respondents negatively influenced farmers’ technical inefficiency. The farmers therefore need to increase their output through more intensive use of seed, land, pesticides and fertilizers.

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.

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

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.

scholarly journals Performance Analysis of Small Scale Sweet Potato Farms in Oyo State, Nigeria

2016 ◽  
Vol 49 (1-4) ◽  
pp. 38-44
Author(s):  
Olayinka Isiaka Baruwa
Keyword(s):  
Sweet Potato ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Potato Production ◽  
Farm Size ◽  
Small Scale ◽  
Full Time ◽  
Stochastic Production Frontier ◽  
Gross Margin ◽  
Frontier Analysis

AbstractThis study carried out an analysis of the performance of sweet potato production among small holder farmers in Oyo State of Nigeria. A combination of purposive and a two-stage random sampling technique were used to obtain information from 65 respondents. Data collected were analyzed using descriptive statistics, stochastic frontier functions and budgetary technique. Results indicated that majority of the farmers were literate, aged 43.3 years on the average, full time in sweet potato production and with mean farm size of 1.0 hectare. The gross margin and net profit were ₦76, 884.8 and ₦67,292.8, respectively (₦, naira Nigerian Currency, ₦160 = 1$US) indicating that sweet potato production was profitable. The return to scale (RTS) for the production function revealed that farmers operated in the irrational zone (stage I) of the production surface. The stochastic production frontier analysis revealed that the technical efficiencies of farmers was found to be fairly high with a mean of 0.92% which suggest that the average sweet potato output falls 0.08% short of the maximum possible level but the efficiency can be increased by better use of available resources.

scholarly journals Technical efficiency of certified maize seed in Palpa district, Nepal: A stochastic frontier production approach

2018 ◽  
Vol 3 (1) ◽  
pp. 45-52
Author(s):  
Mahima Bajracharya ◽  
Mahesh Sapkota
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Stochastic Production Frontier ◽  
Maize Seed ◽  
Production Frontier ◽  
Stochastic Production ◽  
The Cost ◽  
Production Approach

The cereal crop, maize is regarded as staple food mainly in hill areas of Nepal. Seed is one of the vital input which determines the production and yield of any crop. Farmers are found using the required inputs in haphazard way which had increased the cost of production and inefficiency of resources used. The study on seed sector is limited. For such a backdrop, this study was aimed to assess the level of technical efficiency (TE) of certified maize seed production. The total of 164 certified seed producer were interviewed in June, 2016 using simple random sampling technique in Palpa district of Nepal. The result revealed that increase in amount of seed and labor by one percent would increase the yield of certified maize seed by 0.29 and 0.34 percent respectively. The TE was estimated using stochastic production frontier model in Stata software. The average TE was found 70 percent which revealed the scope of increasing TE by 30 percent using the existing available resources. There were about 29 percent farmers who had TE of ≥0.7-0.8 followed by 27.44 percent at ≥0.8-0.9. Government and other stakeholders should prioritize to provide technical knowledge via training and increase the visit of extension worker to increase TE of certified maize seed producer in the district.

scholarly journals Determinants of food security and technical efficiency of cassava farmers in Ondo State, Nigeria

2018 ◽  
Vol 21 (7) ◽  
pp. 915-928 ◽  
Author(s):  
Clementina Oluwafunke Ajayi ◽  
Adewale Isaac Olutumise
Keyword(s):  
Food Security ◽  
Technical Efficiency ◽  
Sampling Technique ◽  
Probit Model ◽  
Educational Background ◽  
Farm Size ◽  
Primary Data ◽  
Food Crops ◽  
Subsequent Increase ◽  
Ondo State

Cassava is one of the most important staple food crops in Nigeria. It is one of the priority food crops necessary for improved food security and poverty reduction in Nigeria. The study investigated the determinants of food security and technical efficiency of cassava farmers in Ondo State, Nigeria using Food Security index, Data Envelopment Analysis (DEA) and Heckman probit model. The study used primary data and a multistage sampling technique was used to randomly select 120 respondents. Findings revealed that 43% of the respondents were food secured. The shortfall and surplus indices were 0.13 and 0.20 respectively. DEA results indicated that about 80% of the respondents had technical efficiency above 0.50 while the average technical efficiency was 0.83. The results of Heckman probit model also showed that farming experience, education, age, cassava output, number of dependants, access to credit, access to extension agent, distance to farm and farm size were the factors that influenced technical efficiency and food security in the study area. It is therefore concluded that improving technical efficiency of the cassava farmers will be an antidote to the problem of food insecurity in the area. This can be achieved by improving agricultural extension services as well as the educational background of the farmers to strengthen the activities of the Agricultural Credit Schemes policy to grant more loans to farmers at a low interest rate for increased productivity and subsequent increase in technical efficiency thereby improving food security further in Ondo State.

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 among rice farmers in Ebonyi State of Nigeria: A stochastic frontier approach

2020 ◽  
Vol 18 (1) ◽  
pp. 40-49
Author(s):  
C. Chikezie ◽  
G.N. Benchendo ◽  
O.B. Ibeagwa ◽  
I.O. Oshaji ◽  
O.A. Onuzulu
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Sample Selection ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Farm Size ◽  
Rice Varieties ◽  
Rice Farmers ◽  
Extension System ◽  
Douglas Production Function

This paper analysed the technical efficiency of rice farmers in Ebonyi State, Nigeria. It specifically analysed the levels and determinants of technical  efficiency. A multistage sampling technique was adopted for sample selection. A total of 150 well-structured questionnaires were distributed but only 91 were returned. The Cobb-Douglas production function model was used to predict the farm level technical efficiency. Results from the Cobb- Douglas Regression showed a sigma square (σ2) of 0.06584 which was statistically significant at 1 percent. The technical efficiency scores among the rice farmers ranged from 0.012 to 1.000 with a mean of 0.350. Farm size, quantity of rice seedlings, quantity of fertilizer and quantity of  agrochemical all were showed positive correlation with coefficients of 0.93511, 0.08310, 0.11200 and 0.14345 respectively while farm labour showed  a negative correlation with technical efficiency. The determinants of technical inefficiency were age, household size and extension visits. This paper advocates the strengthening of existing extension system for timely sourcing of highly improved rice varieties and subsidized fertilizer. There is the need to enhance farmers’ technical efficiency through adequate training on optimum input mix. Keywords: Rice production, technical efficiency, cobb-douglas production function

scholarly journals Technical Efficiency Analysis of Wheat Crop in Arid Region of Punjab, Pakistan

2021 ◽  
pp. 1-9
Author(s):  
Muhammad Fahad Irfan ◽  
Muhammad Umer Afzal ◽  
Kaif Matloob ◽  
Irfan Ahmad Baig
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Efficiency Analysis ◽  
Primary Data ◽  
Wheat Crop ◽  
Analysis Model ◽  
Frontier Analysis ◽  
The Mean

The present study aims to estimate the possible effects of credit on production of wheat crop in Chakwal. The research was based on primary data gathered from 120 farmers, selected by using random sampling technique belonging to two tehsils i.e. Talagang and Chakwal. SFA (Stochastic Frontier Analysis) model was adapted to analyze the data and the results show the mean technical efficiency of the wheat crop was 82 percent for borrowers and 76 percent for non-borrowers. The results proposed that the technical efficiency of wheat growers can be increased by increasing loan disbursement in the area.

scholarly journals ANALYSIS OF EFFICIENCY AMONG RICE FARMERS IN OYO STATE, NIGERIA

2020 ◽  
Vol 6 ◽  
pp. 54
Author(s):  
Wasiu Olawale ADESHINA ◽  
Olugbenga Adesoji Christopher OLOGBON ◽  
Adewunmi Olubanjo IDOWU
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Formal Education ◽  
Technology Policy ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Primary Data ◽  
Rice Farmers

Increased rice productivity for years is not a solution if rice farming efficiency cannot be sustained for the next hundred years. The study analysed the efficiency of rice farmers in Oyo State. A multistage sampling procedure was employed to select128 rice farmers for the study. Primary data were obtained with the aid of well-structured questionnaire and interview schedule. Descriptive statistics and stochastic frontier model were employed in the analysis of the data. Majority (78.1%) of the rice farmers had one form of education or the other while the age of rice farmers ranges from 25 to 78 years and mean age of 47 years. The stochastic frontier results (Maximum Likelihood Estimates) revealed that farm output increases with farm size, hired labour, and fertilizer but decreases with herbicides. Also, technical efficiency of the farmers increases with formal education, farming experience, household size, extension contact and distance of farm to market. The mean technical efficiency, allocative efficiency and economic efficiency of 88.5 percent, 66.9 percent and 58.3 percent respectively showed that there is room for improvement in technical efficiency by 11.5 percent, allocative efficiency by 33.1 percent and economic efficiency by 41.7 percent with the present technology. Policy option requires the rice farmers to reduce the use of agro chemical. Farmers should expand their farm land to ensure efficient utilization of resources. Above all, formal education and adult literacy education should be strengthened among the rice farmers.

scholarly journals Analysis of technical efficiency of potato (Solanum tuberosum L.) production in Chilga District, Amhara National Regional State, Ethiopia

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Agerie Nega Wassihun ◽  
Tigabu Dagnew Koye ◽  
Abebe Dagnew Koye
Keyword(s):  
Technical Efficiency ◽  
Solanum Tuberosum L ◽  
Stochastic Frontier ◽  
Central Africa ◽  
Potato Production ◽  
Sampling Procedure ◽  
Primary Data ◽  
Stochastic Production Frontier ◽  
Factors Affecting ◽  
Socio Economic Variables

Abstract Background Potato is one of the major staple crops in the Eastern and Central Africa sub-region. Its importance continues to rise due to increased urbanization and demand for potato is projected. This increase will definitely come with its share of challenges that need to be addressed. This study was aimed to measure the level of technical efficiency, yield loss due to inefficiency and identify the factors that influence the efficiency levels of potato producers’ in Chilga District. Primary data were collected from 150 farmers selected using multistage sampling procedure and analyzed using descriptive statistics, a parametric stochastic frontier production function models. Results The results of the study indicated that the minimum, maximum and average yields of potato production in the sample households were 1000, 36,000 and 13,108 kg/ha, respectively. The stochastic frontier and Cobb–Douglas functional form with a one-step approach was employed to analyze efficiency and factors affecting efficiency in potato production. The mean technical efficiency (TE) was found to be 46%, and about 17,782.43 kg of potato output per hectare was lost due to inefficiency factors implying there is a room for improvement in technical efficiency by 54% with the present technology. The Stochastic Production Frontier (SPF) result revealed that DAP at 5% and Oxen, MDE and seed at 1% probability level significantly influencing potato production. The socio-economic variables that exercised important role for variations in technical efficiency positively were age and improved seed and nevertheless distance to market was found to increase inefficiency significantly among farm household. Conclusions There is considerable difference in the efficiency level among plots. Hence if inputs are used to their maximum potential, there will be considerable gain from improvement in technical efficiency. The estimated SPF model together with the inefficiency parameters shows that age and improved seed variety were influenced by inefficiency negatively whereas distance to market increased the level of technical inefficiency.

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