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 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 Determinants of farmers’ access to microcredit from cooperative societies in Ondo state, Nigeria

2022 ◽  
Vol 11 (2) ◽  
pp. 103-107
Author(s):  
A Kolapo ◽  
AS Ogunleye ◽  
AD Kehinde ◽  
AA Adebanke
Keyword(s):  
Sampling Technique ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Logit Regression ◽  
Cooperative Society ◽  
Consumer Cooperative ◽  
Ondo State ◽  
Multistage Sampling ◽  
Logit Regression Model

The study examined the determinants of farmers’ access to microcredit from cooperative societies in Ondo state. A multistage sampling technique was used to obtain data from 100 respondents. Primary data was collected for the purpose of the study. We used descriptive statistics and logit regression model to analyses the data collected. Result showed that the farmers were mostly male farmers (64%) while majority of the farmers had a mean age of 44.10 ± 14.70. It was also revealed that consumer cooperative society, producer cooperative society, marketing cooperative society, cooperative farming society and credit and thrift cooperative society were the major forms of cooperative used by the farmers. The result also shows that age, marital status, farm size, farming experience, credit from another source and number of years in the cooperative significantly influenced farmers’ access to microcredit from cooperative society. Int. J. Agril. Res. Innov. Tech. 11(2): 103-107, Dec 2021

Role of Finance in Resource use Efficiency and Constraints in Banana Cultivation in Uttar Pradesh

2020 ◽  
pp. 437-441
Keyword(s):  
Resource Use ◽  
Uttar Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Resource Use Efficiency ◽  
Regular Source ◽  
Block Level ◽  
Use Efficiency ◽  
Secondary Information

The study was conducted using purposive cum random sampling technique and two hundred respondents comprised of 100 each borrowers and non-borrowers were selected from two block of district including marginal, small and medium categories of farm size. Primary data were collected through personal interview technique and required secondary information was taken from the record available at district and block level. Simple tabular and functional analysis and Garrett ranking were done to draw inferences. As per the result obtained from the study, no much difference was seen between the resource use efficiency of borrower and non-borrower farms and constraints faced by borrower. Since banana is a cash crop and it needs initial costs for its establishment, and after harvesting the crop regular source of income was generated by selling of suckers (seed) plant and its fruits. It’s by-product, leaves, etc. also used for various purposes. Minute inspection of the analysis showed that finance played important role for initiating the cultivation of banana crops showed the resource use efficiency that there is no considerable difference found on sample farms of borrower and non-borrower categories. Constraints faced by majority of the farmers were mainly delay in disbursement of loan and lack of the repayment period insufficient and improper management for withdraws on KCC.

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 PERAN GURU BERLATARBELAKANG PENDIDIKAN BERBEDA DALAM PERKEMBANGAN MOTIVASI BELAJAR SISWA

2021 ◽  
Vol 22 (2) ◽  
pp. 168-190
Author(s):  
Zuhri Fahruddin
Keyword(s):  
Secondary Data ◽  
Sampling Technique ◽  
Educational Background ◽  
Learning Motivation ◽  
Data Sources ◽  
Primary Data ◽  
High Quality ◽  
Secondary Data Sources ◽  
Depth Interviews

Abstract: The learning carried out by the teacher in the classroom must develop the quality of learning, one of which is learning motivation, students who are not passionate about learning are not optimal and of high quality, from this goal the reality is still far from expectations, many students are not aware of the importance of studying seriously, there is no passion study, there is no fun in the study room. The sampling technique used is Census Sample (Sample Saturated), while criterion-based selection is used when conducting qualitative research, 30 students as primary data sources, two teachers as secondary data sources. Data collection techniques using in-depth interviews, observation, documentation and questionnaires, while data analysis by reducing data, presenting data, drawing conclusions and verification by means of research stages I and II students and teachers with a Da'wah educational background, stage III and IV student informants and teachers with PAI educational background.

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.

Analysis of arable crop farmers’ awareness to causes and effects of climate change in south western Nigeria

2015 ◽  
Vol 42 (7) ◽  
pp. 614-628 ◽  
Author(s):  
Shakirat Bolatito Ibrahim ◽  
Idris Akanbi Ayinde ◽  
Aisha Olushola Arowolo
Keyword(s):  
Climate Change ◽  
Sampling Technique ◽  
Household Size ◽  
Farm Size ◽  
Primary Data ◽  
Survey Method ◽  
Tobit Regression ◽  
Content Type ◽  
Mitigation And Adaptation ◽  
Arable Crop

Purpose – The purpose of this paper is to empirically analyze the determinants of arable crop farmers’ awareness to causes and effects of climate change in south western Nigeria. Design/methodology/approach – Using primary data, 150 arable crop farmers in Ogun State were selected through a multi stage sampling technique. Survey method was used to elicit information on farmers’ socioeconomic, production characteristics, and their level of awareness to causes and effects of climate change. The data collected were analyzed using descriptive statistics, environmental awareness index (EAI), and Tobit regression analysis. Findings – Most (81.08 percent) of the arable crop farmers were males with an average household size of eight persons, farming experience of 24 years and farm size of approximately 1 ha. The computed climate change EAI showed that only 47 percent of the respondents were aware of causes of climate change, while 68 percent were aware of its effects. Results further revealed that age, income from secondary occupation (p < 0.10), marital status, household size (p < 0.05), years of farming experience, frequency of extension contact, land size in hectare, and farm revenue (p < 0.01) were the determinants of respondents awareness to causes and effects of climate change. Practical implications – The study recommended among others that, awareness should be created among arable crop farmers on climate change causes and effects for appropriate mitigation actions to be taken for improved agricultural productivity. Originality/value – The study provided new empirical evidence on the awareness level of respondents to causes and effects of climate change on their production activities and livelihood in general. Implications for policy will be to provide a public education program that will target females, the poor, the illiterate, and the people in the economically active age group among others in order to create awareness and provide information and adequate knowledge on the causes and effects of climate change for proper mitigation and adaptation options.

scholarly journals Gender Differentials in Technical Efficiency among Small-Scale Cassava Farmers in Abia State, Nigeria

2020 ◽  
pp. 98-109
Author(s):  
E. S. Yisa ◽  
M. I. Nwojo ◽  
A. A. A. Coker ◽  
A. Adewumi ◽  
F. D. Ibrahim
Keyword(s):  
Technical Efficiency ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Small Scale ◽  
Gender Differentials ◽  
Female Farmers ◽  
Cassava Production ◽  
Farm Inputs

This study examined gender differentials in technical efficiency among small scale cassava farmers in Abia State, Nigeria. The profitability of cassava production, technical efficiency as well as the factors influencing inefficiency among the farmers in the study area were determined. Well structured questionnaire and interview schedule were employed to obtain primary data from the 133 male and 147 female cassava farmers sampled from two agricultural zones in Abia State. Data were analyzed using descriptive statistics, farm budgeting technique and stochastic frontier production function. A total of 73.68% of males and 81.63% of females were married, with an average household size of 6 and 5 persons, mean farming experience of 18 years for males and 16 years for females, and cultivated less than 2ha of land. Cassava production was profitable with a gross margin of ₦140,978.28 per hectare for males and ₦131,070.27 per hectare for females. The maximum likelihood estimates showed male farmers were more technically efficient with mean efficiency score of 0.82 compared to 0.78 for female farmers. Factors affecting the technical efficiency of male farmers included farm size, educational level, extension contact, credit amount while that of the female farmers were age, farm size, cooperative membership, land ownership and off-farm income. High cost of acquiring credit facilities and farm inputs, poor road network, inadequate extension services, limited farmland were the major constraints faced by farmers in the study area. It was concluded that male farmers were more technically efficient and also had higher gross income per hectare than their female counterpart. Policies aimed at improving the female farmers’ access to land and other farm inputs should be established and implemented by the government in order to increase efficiency was recommended.

scholarly journals Indebtedness Among Farmers in Haryana State, India

2021 ◽  
Vol 14 (3) ◽  
pp. 373-384
Author(s):  
Babloo Jakhar ◽  
Rohtas Kait
Keyword(s):  
Sampling Technique ◽  
Mean Value ◽  
Farm Size ◽  
Primary Data ◽  
Small Farm ◽  
Average Amount ◽  
Size Category ◽  
Land Holdings ◽  
Very High ◽  
Selection Of

Abstract Subject and purpose of work: The study aims to assess the nature, extent and sources of debt and the measures of the burden of debt on farmers. Materials and methods: The study was based on primary data collected (by field survey) from a sample of 600 farmers selected from Haryana state in India. With regards to the selection of farmers/respondents, a proportionate sampling technique was employed. For the analysis of the collected data, average (or mean value) and percentage techniques were used. The data were collected in January, February and March, 2021. Results: The study revealed that the average amount of debt per sampled farmer is 563 960 rupees. This amount of debt is very high. Institutional sources played a major role in loan disbursement to farmers. Of the total amount owed, one third of all the debt was incurred from non-institutional sources at a higher rate of interest; 67.03% was incurred for productive purposes and the remaining 32.97% of debt was incurred for non-productive purposes. Non-productive debt adds nothing to agricultural production. 67% of all farmers in the state belong to marginal and small farm-size category. Thus, at small size of land holdings, at higher rate of interest charged by non-institutional sources and non-productive loans are the main cause of farmer indebtedness. Conclusions: Farmers have been trapped under the burden of debt and are not in a situation to pay their loans back within the prescribed period of time.

Analysis of Causes and Coping Strategies of Food Insecurity: The Case of Central and North Gondar Zone, Ethiopia

2021 ◽  
pp. 097300522110352
Author(s):  
Wondim Awoke ◽  
Kefale Eniyew ◽  
Belete Meseret
Keyword(s):  
Food Security ◽  
Rural Communities ◽  
Food Insecurity ◽  
Coping Strategies ◽  
Sampling Technique ◽  
Primary Data ◽  
Systematic Sampling ◽  
Cropping Pattern ◽  
Food Security Status ◽  
And Coping

In Ethiopia, food insecurity is a major problem, which affects the livelihood of rural communities. Hence, this study was conducted in Central and North Gondar Zones with the main aim of analysing causes and coping strategies of food insecurity. Primary data were collected through an interview schedule, key informant interviews and focus group discussions. A total of 500 sample respondents were selected through a systematic sampling technique. Data were analysed through simple descriptive statistics and a chi-square test. Frequently used coping strategies by sample respondents were planting early maturing crop (82.4%), turning to low-quality and cheaper foodstuff (81.2%), changing cropping pattern (78.6%), sale of livestock (75.6%) and purchasing food on cash 75.0%. Sex, educational status, fertiliser utilisation, livelihood diversification and off-farm activities had an association and significant with a food security status of sample respondents at p ≤ 0.01. Furthermore, farmland and on-farm were significantly associated with food security status at 0.01 < p ≤ 0.05 and 0.05 < p ≤ 0.10, respectively. To ensure food security, different organisations that support rural households should be aware of peak food insecurity seasons. Moreover, due attention should be paid to practical-oriented education and training to diversify the household’s livelihood.

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