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 Rice farmers’ technical efficiency under abiotic stresses in Bangladesh

2018 ◽  
Vol 7 (11) ◽  
pp. 219-232
Author(s):  
Md. Abu Bakr Siddique ◽  
Md. Abdur Rouf Sarkar ◽  
Mohammad Chhiddikur Rahman ◽  
Afroza Chowdhury ◽  
Md Shajedur Rahman ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Positive Impact ◽  
Positive Margin ◽  
Farm Size ◽  
Rice Varieties ◽  
Benefit Cost Analysis ◽  
Rice Farmers ◽  
Stress Environments ◽  
Cash Cost ◽  
Benefit Cost

This study was an attempt to investigate the economic performance of stress tolerant rice varieties in different abiotic stress prone areas (submergence, drought, and salinity) of Bangladesh. The study used production frontier approach to measure the technical efficiency at the farm level. Benefit-cost analysis revealed that farmers in all stress environments obtained positive margin on cash cost basis and the profit became negative on full cost basis in all environments with exception for submergence. That means rice production was marginally benefited to farmers in all the stress environments. Farm specific technical efficiency of all stress environments indicated that large farmers were comparatively more efficient due to their economic solvency as they could apply adequate amount of inputs in due time with proper doses. Inefficiency model indicated that farm size, farmers ‘education, households’ size, farming experience, extension contact, and main occupation of the farmers, were the important factors causing variations in the efficiency. However, BRRI released stress tolerant rice varieties had significant positive impact on technical efficiency. Plausible policies have been recommended according to the study outcomes.

scholarly journals Economic implication of contract farming on small-scale rice farmers in Kwara State, Nigeria

Agrosearch ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 26-40
Author(s):  
S.O. Akanbi ◽  
W.I. Alarape ◽  
O.S. Olatunji
Keyword(s):  
Technical Efficiency ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Farm Size ◽  
Farm Income ◽  
Small Scale ◽  
Economic Implication ◽  
Contract Farming ◽  
Productivity Level ◽  
Rice Farmers

This study examines the implication of contract farming on Olam Out-growers farming scheme in Kwara State, Nigeria. The objectives of the study are to determine the costs and returns to production of rice, assess the productivity level of rice, evaluate the technical efficiency of rice farm and identify the determinants of the technical inefficiency of the rice farms in contract farming. In this study, the average net farm income of the rice farmers under the scheme was N191,862.56 and the land productivity level was 2,006.04kg/ha. The technical efficiency of the rice farm was estimated using Cobb-Douglas Stochastic Frontier Production function which shows that likelihood coefficients for quality of seeds, hired labour and farm size were statistically significant at 1% level. Likewise, the determinants of technical efficiency among the farmers were household size and farming experience. The results further show that the contract farming scheme has a positive impact on the lives of rice farmers. Therefore, there is a need for partnership with private contract farming outfits in order to improve the current level of access to inputs by rice farmers. Keywords: Contract farming, Out-growers rice farmers, Technical efficiency, Farm income

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 Perceptions of climate change and variability, impacts and adaptation strategies by rice farmers in south east Nigeria

Our Nature ◽  
2017 ◽  
Vol 14 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Happiness Ogba Oselebe ◽  
Catherine Veronica Nnamani ◽  
Andrew Efisue ◽  
Donatus Onu ◽  
Simeon Okpoto Eze ◽  
...  
Keyword(s):  
Climate Change ◽  
Rural Communities ◽  
Smallholder Farmers ◽  
Sample Selection ◽  
Sampling Technique ◽  
Adaptation Strategies ◽  
Rainfall Regime ◽  
Rice Varieties ◽  
Creative Commons ◽  
Rice Farmers

This study was designed to identify level of awareness/knowledge of rice farmers in South-eastern Nigeria about climate-change; identify adverse effects of climate-variability and change on rice production and determine adaptation strategies used by small holder rice farmers within study area. Multistage purposive and stratified sampling technique was used for the sample selection. Information from 360 respondents was got using Rapid Rural Appraisal (RRA), Focus Group Discussions (FGD), and actual survey with questionnaires. Results showed that the rice farmers were aware of weather changes with grave effects on their rice farms. They reported changes in rainfall regime, intense sunshine, high temperature etc. Of special interest among the adaptation strategies by farmers are the use of inorganic fertilizers, improved rice varieties, cultivation of early maturing varieties, and proper preservation of rice seeds. This study recommends urgent measures to improve resilience of smallholder farmers in rural communities to enable them better adapt to climate-change. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. 

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 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 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 DETERMINANTS AND TECHNICAL EFFICIENCY OF MAIZE PRODUCTION IN MUNA DISTRICT OF SOUTHEAST SULAWESI

2020 ◽  
Vol 8 (3) ◽  
pp. 201-206
Author(s):  
Laode Geo
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Secondary Data ◽  
Maize Production ◽  
Factors Affecting ◽  
Land Size ◽  
Random Method ◽  
Douglas Production Function

This study aimed to assess (1) factors affecting the production of maize farming and (2) the technical efficiency of maize farming. The study was conducted at Bone Kacintala subdistrict, Muna district, Southeast Sulawesi. The study location was selected purposively as it was production center of maize farming. Respondents consisted of 32 farmers who were taken using simple random method. The data consisted of primary and secondary data. The data were analyzed using Cobb-Douglas production function and Stochastic Frontier. The results showed that the level of technical efficiency of maize farming was 0.72 on average, which was efficient and there was still an opportunity of 28 percent to increase the technical efficiency. Land size, seed and fertilizer had positive and significant effect on maize production.

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

2020 ◽  
Vol 10 ◽  
pp. 19
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 select 128 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.

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

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