scholarly journals Determinants of the Adoption of Quality Protein Maize among Farming Households in Niger State, Nigeria

2017 ◽  
Vol 2 (1) ◽  
pp. 8-12
Author(s):  
Opeyemi E. Ayinde ◽  
Tahirou Abdoulaye ◽  
Olatunji Y. Ambali ◽  
Grace O. Akinsola
Keyword(s):  
Random Sampling ◽  
Regression Models ◽  
Information Dissemination ◽  
Sampling Procedure ◽  
Household Size ◽  
Descriptive Statistics ◽  
Quality Protein Maize ◽  
Tobit Regression ◽  
Adoption Level ◽  
Farming Households

AbstractThe study was conducted to examine the determinants of quality protein maize (QPM) adoption among farming households in Niger State, Nigeria. A twostage random sampling procedure was employed to obtain data from selected 120 maize farming households. Descriptive statistics, logistic and tobit regression models were used for the analysis. Results of the analysis show that the awareness and adoption level of QPM production in the study area were 95% and 87% respectively. Among the determinants of QPM adoption status, the coefficient of age (-0.12734) and primary occupation (-1.38295) of the respondents were negative and significant at 5% level of probability while the tenancy attribute’s coefficient (2.62533) was positively significant at 10%. The level of adoption of QPM was positively and significantly influenced by household size (0.00729) and years of schooling (0.01148) at 10% and 5% level of significant respectively. The study recommends intensification of information dissemination on the adoption of QPM in the study area.

scholarly journals Input-use Efficiency of Irrigation Farmers in Southwest Nigeria

2020 ◽  
pp. 1-12
Author(s):  
F. M. Oluwatusin ◽  
A. O. Kolawole ◽  
O. A. Aturamu ◽  
K. A. Abdu-Raheem
Keyword(s):  
Water Use Efficiency ◽  
Technical Efficiency ◽  
Water Use ◽  
Sprinkler Irrigation ◽  
Household Size ◽  
Descriptive Statistics ◽  
Tobit Regression ◽  
Input Use ◽  
Southwest Nigeria ◽  
Use Efficiency

This study estimated the technical and water-use efficiency of irrigation farmers in Southwest Nigeria. A multistage sampling procedure was employed to interview one hundred and eighty-five irrigation farmers. Descriptive statistics, Data Envelopment Analysis Program (DEAP) and Tobit regression model were used to describe and analyze the determinants of inefficiency among irrigation farmers. The result of the descriptive statistics showed that there were more male farmers (82.2%) with a mean household size of 3.7. The mean area of irrigated land was 1.29ha. with about 84 percent of farmers cultivating on rented land. The average income from irrigation farming was N 38,650.27 per month. The sprinkler irrigation (Centre Pivot) was used by 85.4% of the farmers. The water fee for farmers was N 10,000 and the average cost of diesel for irrigating their farmland was estimated to be N 34,400 per production. The variation in input use and the output produced is considerably large. The DEAP results showed that on average, the farmers achieved only 79% Constant Return to Scale (CRS) technical efficiency, 85% Variable Return to Scale (VRS) technical efficiency and 22% water use efficiency. The Tobit regression results showed that farmers’ characteristics like age (0.008), household size (0.048), area of land irrigated (0.000), income (0.075) and drip irrigation method (0.041) were significant under CRS, whereas gender, education, experience, labour and sprinkler irrigation method were not significant. Under VRS model, significant variables includes age (0.032), gender (0.003), education (0.080), experience (0.059) and area of land irrigated (0.000), while gender (0.004), household size (0.086), education (0.027), experience (0.045), area of land irrigated (0.000) and labour (0.089) were significant for sub-vector VRS. It appears that farmers have little incentives to use water in an efficient way. In this sense, a public-private partnership could trigger better management of irrigation facilities and efficient water use among farmers.

scholarly journals Decomposition Analysis of Poverty among Rural Farming Household in Oyo State, Nigeria

2021 ◽  
pp. 77-85
Author(s):  
Adeleye Ifeoluwa A. ◽  
Obabire Ibikunle E. ◽  
Fasuan Yetunde O. ◽  
Babadiji Abike O.
Keyword(s):  
Poverty Reduction ◽  
Decomposition Analysis ◽  
Poverty Line ◽  
Structured Interview ◽  
Sampling Procedure ◽  
Household Size ◽  
Farm Size ◽  
Income Poverty ◽  
Low Literacy ◽  
Farming Households

The incidence of poverty in Nigeria is worrisome, and it has constituted a national menace. The occurrence of poverty incidence had been found to be more pronounced among Rural farming households in the country. However, paucity of data exists in terms of decomposition of household poverty into relevant subgroups using their socio-economic characteristics. Therefore, this paper assessed the decomposition analysis of poverty among rural farming Households in Oyo State, Nigeria using the data collected through a well-structured interview schedule from 170 respondents who were selected through a multi-stage sampling procedure. Data collected were described using frequency counts and percentage while poverty Indices was analyzed using Foster-Greer Thorbecke model and Decomposition analysis. The findings revealed that higher proportion (73.5%) of the respondents were above 40 years, 65.3% were male, 78.2% were married and 27.6% had secondary education, while 62.4% had household size of between 5 and 9 persons. Majority (79.4%) had farm size of more than 1.5 hectares and 62.9% had no access to remittance. Poverty incidence (P0) was 40.59%, Poverty depth/gap (P1) was 16.11% and Poverty severity (P2) was 0.09%, among the respondents using income-poverty line measure. Decomposition analysis showed that Poverty was high among households that were headed by male, young with low literacy level, and large household size. The severity of poverty was higher among households headed by labour of other farms. Effective poverty reduction strategies should therefore focus on education, livelihood diversification and control of household size.

scholarly journals Microcredit and Farmers’ Productivity in Osun State, Nigeria

2019 ◽  
pp. 1-11
Author(s):  
Omobolaji Olubukunmi Obisesan ◽  
Olusegun Bankole Ojewumi ◽  
Adekunle Akintunde Obisesan
Keyword(s):  
Interest Rate ◽  
Regression Model ◽  
Significant Relationship ◽  
Negative Relationship ◽  
Household Size ◽  
Descriptive Statistics ◽  
Tobit Regression ◽  
Lending Institutions ◽  
Tobit Regression Model ◽  
Planting Season

The present work examined micro-credit and farmers’ productivity in Osun State, Nigeria. A total of 140 respondents were interviewed using structured questionnaires. Data obtained was analyzed using descriptive statistics and Tobit regression model. The research showed there was a significant relationship between household size (β=0.623), farming experience (β=0.858) and loan condition (β=1.29) on the acquisition of credit by farmers. Income generated was used as a proxy for productivity, and it was in the minimum of N20,000 per planting season. Interest rate had a negative relationship with credit acquisition which implied the majority of the farmers patronized the informal sources of credit. The research showed that loan conditions from informal sources was favorable compared to that from formal sources; and a reason for the high patronage. This, therefore, suggests that formal lending institutions should relax agricultural lending condition and provide credit for agricultural purposes to increase the productivity of farmers. 

scholarly journals Perception of Adoption of Pulse Cultivation Practices by NFSM Programme Beneficiaries in Thoothukudi District of Tamil Nadu, India

2020 ◽  
pp. 77-85
Author(s):  
R. Nagarethinam ◽  
M. Anjugam
Keyword(s):  
Random Sampling ◽  
Tamil Nadu ◽  
Total Sample ◽  
Descriptive Statistics ◽  
Primary Data ◽  
Technical Knowledge ◽  
Cultivation Practices ◽  
Index Methods ◽  
Adoption Level

The present study analyzes the adoption of improved technologies under the NFSM pulses program by the beneficiaries and to assessing the farmers' perception regarding the NFSM program in the Thoothukudi district of Tamil Nadu. Thoothukudi district was selected based on the largest area covered under NFSM pulses. Five blocks in Thoothukudi district namely Kovilpatti, Gayathar, Ottaipidaram Villathikulam, and Pudhur were purposively selected. Random sampling was used to collect primary data from 25 beneficiaries in each block and to make total sample is 120. Descriptive statistics and adoption index methods were used to analyze the beneficiaries’ perception regarding NFSM programme. Results revealed that the agricultural department was the major source of knowledge on the NFSM program followed by Friends/Neighbors. It shows that this department has actively participated in spreading the benefits of the NFSM programme to the farmers. About 53.33 percent of NFSM beneficiaries fall under medium adoption level. Concerning constraints on the adoption of the NFSM programme, the beneficiaries agreed that there is a lack of technical knowledge (55%), inability to understand all the information given in the NFSM programme (56.67%), lack of training (65%), longer time taken sanction of contingent amount (92.50%) and availability of subsidy for one hectare (100%). The beneficiaries disagreed with the availability of fertilizers on time (57.50%) and received seed after sowing (75%).

scholarly journals Investigating the Relationship between Professionalism and (Technical, Human, and Perceptual) Skills of Managers in Poly Akril Company of Iran from Experts’ Viewpoint

2016 ◽  
Vol 6 (2) ◽  
pp. 117
Author(s):  
Marzie Ghanbari ◽  
Reza Hoveida ◽  
Seyed Ali Siadat
Keyword(s):  
Data Collection ◽  
Random Sampling ◽  
Sampling Method ◽  
Regression Coefficient ◽  
Reliability Coefficient ◽  
Descriptive Statistics ◽  
Stratified Random Sampling ◽  
Perceptual Skills ◽  
The Relationship ◽  
Test Correlation

The objective of the present study is to investigate the relationship between managers’ professionalism and (technical, human, and perceptual) skills in managers of Iran Poly Akril Company. The research is an applied one in terms of objectives, and a descriptive-correlational in terms of method. The population includes all experts working in the company in 2012 as 240 individuals among who 144 participants were selected using the stratified random sampling method proportionate to the population size as the sample size. The data collection instruments were two researcher-made questionnaires of Managers’ skills containing 22 items and with the reliability coefficient as 0.96, and Professionalism containing 28 items and the reliability coefficient as 0.95. Their validity was investigated and confirmed by professors and experts of management. Analyzing data was conducted at the two level of descriptive statistics (frequency, mean, SD, and presentation of tables and charts) and inferential statistics (one sample t-test, correlation coefficient, regression coefficient, ANOVA, and F-test).

scholarly journals Assessment of hired labour use and food security among rural farming households in Kwara State, Nigeria

2014 ◽  
Vol 59 (3) ◽  
pp. 353-361 ◽  
Author(s):  
Kemi Omotesho ◽  
Azeez Muhammad-Lawal ◽  
Damilare Ismaila
Keyword(s):  
Food Security ◽  
Household Head ◽  
Sampling Technique ◽  
Extension Education ◽  
Tobit Regression ◽  
Agricultural Credit ◽  
Food Security Status ◽  
Older Farmers ◽  
Analytical Tools ◽  
Farming Households

This study examined the relationship between hired labour use and food security among rural farming households in Kwara State, Nigeria. It determined the food security status of rural farming households and investigated the determinants of hired labour use. A four-stage random sampling technique was used to select 135 rural farming households from which data were collected with the use of a well-structured questionnaire. Descriptive statistics, correlation analysis and the Tobit regression model were the analytical tools used for the study. The study revealed that only about half of the households (51.1%) were food secure and that there is a positive correlation between the hired labour use and their food security status. Dependency ratio, age and educational qualification of the household head, total household size, and household income significantly influenced hired labour use (p<0.01). The study recommends the need for agricultural credit schemes in Nigeria to accord higher priority to older farmers and poor rural households. In addition, extension education which emphasizes agriculture as a business rather than a mere way of life should be promoted among farmers.

A state-wide audit of unhealthy sponsorship within junior sporting clubs in Victoria, Australia

2021 ◽  
pp. 1-21
Author(s):  
Florentine Martino ◽  
Alexandra Chung ◽  
Jane Potter ◽  
Tara Heneghan ◽  
Melanie Chisholm ◽  
...  
Keyword(s):  
High Risk ◽  
Random Sampling ◽  
Public Health Intervention ◽  
Sampling Procedure ◽  
Low Ses ◽  
Unhealthy Food ◽  
Cross Sectional ◽  
Logistic Regressions ◽  
Cross Sectional Design ◽  
Facebook Pages

Abstract Objective: To systematically audit the extent of unhealthy sponsorship within junior community sporting clubs and ascertain whether differences exist across geographical areas and sports types. Design: Club sponsorship data were assessed to determine the extent of unhealthy food/beverage, alcohol, and gambling sponsorship using a cross-sectional design. Differences across geographical areas were assessed using logistic regressions. Setting: A stratified random sampling procedure was used to select 30 communities across the state of Victoria, Australia. Within each community, local clubs across the top eight participating junior sports were selected for audit. Participants: Sponsorship data was collected from 191 club websites and Facebook pages in September-November 2019. Results: Unhealthy sponsorships represented 8.9% of all identified sponsorship arrangements. A quarter of all clubs accepted alcohol (25.6%) and unhealthy food sponsors (25.9%), and one-fifth of all clubs accepted high-risk food (unhealthy brands with large market share) (18.1%) and gambling sponsors (20.4%). Acceptance of unhealthy sponsorship differed across sport types with football, netball, cricket, and soccer clubs having the greatest number. Compared to metro areas, a significantly greater proportion of sporting clubs in regional areas were affiliated with unhealthy food (32.7% vs 19.6%) and high-risk food sponsors (26.9% vs 9.8%). A higher proportion of clubs in low SES, compared to high SES areas, were affiliated with alcohol (33.9 % vs 16.5%) and gambling sponsors (27.4% vs 12.6%). Conclusion: Victorian children participating in community junior sport are being exposed to marketing of unhealthy brands and products. Public health intervention is necessary to protect children from this exposure.

THE ROLE OF WHATSAPP IN TEACHING VOCABULARY TO THE STAFFS OF UMBUL PONGGOK KLATEN

2021 ◽  
Vol 5 (2) ◽  
pp. 773
Author(s):  
Lia Ardiana Safitri
Keyword(s):  
Experimental Design ◽  
Foreign Language ◽  
Random Sampling ◽  
Sampling Procedure ◽  
Assessment Instrument ◽  
Vocabulary Test ◽  
Control Groups ◽  
Post Test ◽  
And Control

This study was conducted with the aim of knowing the significant role of WhatsApp in teaching vocabulary, especially staff learning achievement which was limited to vocabulary achievement as measured by a vocabulary test at Umbul Ponggok Klaten. Participants in this study amounted to 30 people consisting of 15 men and 15 women. All participants will learn English as a foreign language using WhatsApp to learn new vocabulary items via their mobile, tablet or laptop. Participants' English level will be measured. Random sampling procedure was carried out. To carry out the research, a true experimental design was used. The participants were assigned to two experimental and control groups. The assessment instrument in this study used a pre-test and post-test. The results showed that the use of the WhatsApp application in teaching vocabulary to the Umbul Ponggok Klaten staff was able to improve the achievement of new English vocabulary mastery of the Umbul Ponggok Klaten staff which was getting better.

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