scholarly journals A Study on Relationship between Technical Efficiency and Climate Change Manifestations among Sesame Farmers in Benue State, Nigeria

2019 ◽  
pp. 1-19
Author(s):  
B. C. Asogwa ◽  
M. P. Nwalem ◽  
G. C. Aye
Keyword(s):  
Climate Change ◽  
Technical Efficiency ◽  
Production Function ◽  
Land Tenure ◽  
Market Access ◽  
Stochastic Frontier ◽  
Negative Relationship ◽  
Farm Size ◽  
Credit Access ◽  
Access To Credit

The present study aims to analyse the relationship between technical efficiency and the adverse effect of climate change manifestations among sesame farmers in Benue State, Nigeria. A combination of purposive and random sampling techniques was used to select 372 sesame producers. Data were analysed by using the Cobb-Douglas stochastic frontier production function and Spearman correlation. The stochastic production function showed that farm size, seed, fertilizer, agrochemical and family labour significantly affect sesame output. The study also showed that education, farming experience, household size, access to extension; access to credit, access to market and membership to farmer association were positively related to technical efficiency of sesame farmers. The result further showed that the average technical efficiency of sesame farmers was 0.53. The result also revealed that there is a significant negative relationship between the level of adverse effects of climate change manifestation and technical efficiency among sesame farmers in the study area. It was therefore recommended that readily available farming inputs and subsidies should be entrenched. Credit facility, extension services and good market access should be provided to farmers. Education, information and training of farmers to adapt to climate change by changing their farming practices such as bush burning, de-forestation, rain-fed agriculture and land tenure systems should be encouraged.

scholarly journals Technical Efficiency of Smallholder Agriculture in Developing Countries: The Case of Ethiopia

Economies ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 34
Author(s):  
Anbes Tenaye
Keyword(s):  
Developing Countries ◽  
Technical Efficiency ◽  
Production Function ◽  
Fixed Effects ◽  
Unobserved Heterogeneity ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Household Head ◽  
Farm Size ◽  
Average Output

The efficient use of inputs is indispensable in many developing countries, such as Ethiopia. This study assesses the level and determinants of technical efficiency of smallholder farmers using the true fixed effects (TFE) model. The TFE model separates inefficiency from unobserved heterogeneity. Empirical data come from four rounds of panel data (1994–2009) from the Ethiopian rural household survey (ERHS). A one-step maximum likelihood estimator was employed to estimate the Cobb-Douglas stochastic frontier production function and factors influencing technical efficiency. The results indicated that the major variables affecting technical efficiency are policy responsive, albeit to varying degrees: education of the household head, family size, farm size, land fragmentation, land quality, credit use, extension service, off-farm employment, and crop share. The analyses also identify variables amenable to policy changes in the production function: labor, traction power, farm size, seeds, and fertilizer. The mean household-level efficiency for the surveyed farmers is 0.59, indicating that farmers could improve technical efficiency. This implies that smallholder farms in Ethiopia can reduce the input requirement of producing the average output by 41% if their operations become technically efficient. This study recommends that the above policy variables be considered to make Ethiopian smallholder farmers more efficient.

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

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.

scholarly journals Profitability and efficiency of cucumber production among smallholder farmers in Oyo state, Nigeria

2016 ◽  
Vol 61 (4) ◽  
pp. 387-398 ◽  
Author(s):  
Iyabo Adeoye ◽  
Olubunmi Balogun
Keyword(s):  
Technical Efficiency ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Crop Productivity ◽  
Farm Size ◽  
Primary Data ◽  
Access To Credit ◽  
Education Status ◽  
Increasing Demand ◽  
Gender Groups

Cucumber is one of the most important exotic vegetables in Nigeria. Its profile is rising due to widespread knowledge of its inherent health benefits. To sustain the availability of the crop in order to meet increasing demand, there is the need to enhance its productivity. Crop productivity depends on the efficient use of both material and human resources utilized in the production process. This study therefore examined profitability and efficiency of cucumber production in Iseyin local government area of Oyo state. Primary data on socioeconomic characteristics of farmers, input and output quantity and prices were collected from 73 cucumber farmers and analyzed using descriptive statistics, budgetary technique and stochastic frontier. Majority of the farmers were male (96.7%) with average age of 46.4 years. An average of 17.1 years of farming experience cut across both gender groups. The average hectare was 1.5 with average yield of 5,368 kg/ha. Budgetary analysis revealed that net profit of N=239,440/ha, profit margin percentage of 55.8% and returns on every naira invested of 1.26 were obtained. This is an indication that cucumber production is profitable in the study area. The result of the stochastic frontier indicated that farm size and volume of agrochemical used significantly influenced cucumber production. Age, education status of farmers and access to credit were the significant factors determining technical efficiency of the farmers in the study area. Mean technical efficiency of production was 0.68. The study recommends capacity building for farmers on an appropriate combination of resources.

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

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 Credit access and faecal management practices among poultry farmers in Ogun State, Nigeria: Implications for climate change

Agro-Science ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 57-61
Author(s):  
O.B. Osuntade ◽  
D.A. Babalola
Keyword(s):  
Climate Change ◽  
Waste Management ◽  
Management Practices ◽  
Farm Size ◽  
Extension Service ◽  
Credit Access ◽  
Access To Credit ◽  
Ogun State ◽  
Key Words Climate Change ◽  
Poultry Farmers

This research identified the sources of credit available and utilized by the respondents, evaluated the socioeconomic factors determining farmers’ access to credit, constraints encountered by respondents and the influence of access to credit on management practices of poultry farmers in Obafemi Owode Local Government of Ogun State. The data collected from 90 poultry farmers were analyzed using descriptive statistics and the logit regression model, to evaluate the socio-economic factors determining the respondents’ access to creditand also to analyze the influence of access to credit on faecal management practices in the study area. The descriptive result showed the farmers earned less than N100, 000 monthly (mean = 61,402±12,127.17, ca. $290) and up to 48% still lacked access to credit. The major use of credit among the farmers was for operational activities (53%) which included waste management. Only 48% of the farmers had access to quality extension service and 46% do not participate in any cooperative. Despite the fact that most of the farmers were aware of impact of farming activities on climate change, about 80% still practiced open dumping of faecal waste without proper treatment because of credit constraint. The logit result (all at p < 0.05) showed that farming experience, farm size, awareness of credit source, cooperative participation, access to extension service and farm income were associated with both access to credit and farmers’ use of appropriate waste management practice. Based on the findings, it is recommended that better waste management practices among poultry farmers should be enhanced by facilitating increased access to credit and this is sine qua non to mitigating climate change. Key words: climate change, credit access, faecal management, Nigeria, poultry

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.

Sign in / Sign up

Export Citation Format

Share Document