scholarly journals Determinants of farmers’ adoption of agroforestry technology in Ibarapa Area of Oyo State, Nigeria

2021 ◽  
Vol 19 (1) ◽  
pp. 189-200
Author(s):  
F. Awe ◽  
T.O. Oguntoye ◽  
B.T. Olatunji

This study examined the various forms of agroforestry technologies adopted by the farmers as well as assessed the factors influencing the adoption of agroforestry technologies among farmers in the study area. A multi-stage sampling technique was used to select the respondents from the study area. Both descriptive statistics such as frequencies and percentages as well as inferential statistics such as Logistic Regression model were used in the study. From the study, it was discovered that adopters of agroforestry technology accounts for 42.47%, while non-adopters accounted for 57.53% of the sampled respondents. The result further shows the different forms of  agroforestry practices adopted by the farmers in the study area which includes boundary planting, multipurpose trees/shrubs, wind breaks and live fencing. The result of the analysis of the factors that influence the adoption of agroforestry technologies among farmers from the logistic regression analysis revealed that access to extension services, age, education, farming experience, farm size and gender were positive and significant factors in determining the adoption of agroforestry technologies among the farmers.

2021 ◽  
Vol 24 (12) ◽  
pp. 2107-2111
Author(s):  
O.O. Obadimu ◽  
O.S. Oke ◽  
O.A. Asunlegan ◽  
M.A. Alaje ◽  
D. Ojo ◽  
...  

The multiplicity of agroforestry practices demand the choice of appropriate methods that will give the rural farmers an excellent result. Thus, this study analysed the factors determining the choice of agroforestry practices among small holder farmers in Oyo State, Nigeria. Primary data was obtained using multi-stage sampling technique. Structured questionnaire was administered to 250 selected small holder farmers to elicit relevant information and 211 was retrieved and used for this study. The findings revealed that most 55% of the farmers chose agrisilvicutural system while 33.2% and 11.8% of the farmers chose agrosilvopastoral and silvopastoral systems respectively. Most of the farmers were males 89.1%, with average age of 47years indicating they were relatively young with basic formal education. The average farm size of 3.34ha indicated that the study covered small holder farmers. The multinomial logit result showed that factors such as educational level, meeting attendance, type of labour used, household assets significantly determined the choice of agroforestry practices adopted by the farmers. The study therefore recommends the implementation of policies that promote more enlightenment on the benefits of agroforestry to both the educated and non-educated farmers to facilitate quick adoption, provision of incentives to farmers that attend meetings regularly and making available improved agroforestry methods and practices to enhance wider suitability of agroforestry practices.


2021 ◽  
Vol 20 (1) ◽  
pp. 101-111
Author(s):  
A.O. Ojedokun

This research was conducted to analyse the economics of improved  groundnut seeds’ production in North-Western, Nigeria. A multi-stage  sampling technique was employed for this study. Data were collected from 125 producers of improved variety of groundnut seeds in Bunkure Local Government Area (LGA) of Kano State using well-structured questionnaire. The data collected were analysed using both descriptive and inferential statistics. The descriptive statistics result revealed that respondents were active, mostly males and that they were mostly literate. The result revealed that the marketing of improved variety of groundnut seeds was efficient and that the enterprise was considered viable. Age, household size, farm size and access to credit were the factors that influenced the net marketing margin to producers of improved groundnut seeds. The study recommends that adequate credit facilities should be made available and improved variety of groundnut seeds should be subsidized so that producers can be motivated to use and adopt them.


2020 ◽  
Vol 72 (1-3) ◽  
Author(s):  
Achoja Roland Onomu

ABSTRACT The majority of the smallholder farmers mainly used clue implements. However, the extent to which they are determined to change such practice remains unknown. This paper investigates the smallholders’ willingness to pay (WTP) for tractor services, factors that affect the smallholders’ WTP for tractor services as well as factors that affect the amount of money the smallholder is willing to pay for tractor services. Multi-stage sampling technique was used to collect data from 280 respondents in the study area. The contingent valuation methodology was used to measure the smallholders’ WTP. Descriptive statistics and the double hurdle model were used to analyse the results. The majority of the smallholder farmers were willing to pay for tractor-use. Age, farm size and location affect the smallholder’ WTP for tractor services. Expenditure and location affect the amount of money willing to pay for tractor services by the smallholder. There is a prospective growth for hired tractor services business due to smallholders’ WTP. It was suggested that entrepreneurs should invest in the business of tractor hired services since the farmers were willing to pay for their services. More researchers should be done on how to sustain the smallholders’ demand and WTP for tractor services.


2021 ◽  
Vol 21 (2) ◽  
pp. 83-92
Author(s):  
Siyanbola A. Omitoyin ◽  
Kemisola D. Osakuade

The study investigated the level of awareness and constraints the farmers were facing in adopting effective biosecurity measures in Ekiti State. Primary data were collected using multi-stage sampling technique to randomly select 150 fish growers, out of which 144 questionnaires were recovered. Analysis was carried out using descriptive statistics, four-point Likert scale and multiple regression. The result showed that 76.4% of the fish farmers with mean age of 40.48±10.28years were married, 61.1% owned the land on which they farm their fish, 73.6% operated as small scale fish farmers with farm size of <1 hectare. About 91.0% knew about fish diseases, the main source of pollution on the farm was flooding while some (61.1%) experienced outbreak of fish diseases at juvenile stage. High cost of facilities, lack of financial assistance, poor knowledge on biosecurity, expensive laboratory charges and inadequate monitoring by extension agents was perceived as the major constraints. The farmers need financial help to get adequate facilities and to enlarge their scale of operation. Adequate extension services to enlighten them on the effective biosecurity measures should be adopted.


Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 371
Author(s):  
Kevin Pello ◽  
Cedric Okinda ◽  
Aijun Liu ◽  
Tim Njagi

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.


Agro-Science ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 1-5
Author(s):  
F.C. Okoronkwo ◽  
S.C. Onya ◽  
J.E. Amah

This study was designed to comparatively examine the profitability of small and medium scale cassava and palm fruit processing in Abia State, Nigeria. Multi-stage sampling technique was adopted in selecting 50 cassava and 50 palm fruit processors to give total respondents of 100. Simple descriptive statistics such as means and percentages, cost and returns analysis and Z-test were adopted in analyzing the data. The socioeconomiccharacteristics of the processors showed that middle aged persons between 25 and 54 accounted for majority (70% and 60%) of the respondents for cassava and palm fruit processors respectively. Also majority (60% and 64%) of the respondents were female. The majority of the respondents (60% and 54%) of the cassava and palm fruit processors had at least secondary education implying that the processing business was dominated by literates/elites. Cassava processors gained monthly net returns of N308,000 as against N 227,000 realized by palm fruit processors, indicating that cassava processing is more profitable than palm fruit processing. In view of its contribution to this paper, the following are recommended: a re-establishment of active processing firms which are income-spinning ventures; on the macro-level, government should discourage the exportation of competing products which has a multiplier effect on the operations of the firms and as such protect them from harsh competitions capable of weakening their profit performances. Key words: This study was designed to comparatively examine the profitability of small and medium scale


2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Gbigbi Theophilus Miebi

The study was carried out to investigate the factors that affect small scale farmers to access fund and utilized for greater efficiency in production in Delta State, Nigeria. The logit model was used to analyze the data. A multi-stage random sampling technique was used for the study. Charts were used to analyze the socioeconomic characteristics of the farmers. About 120 farmers were interviewed using pretested questionnaire. The study showed that sex, education, farm size, cash balance, collateral, frequency of transaction and membership of cooperative society were positive and significant at 1%, 5% and 10% probability levels respectively. The coefficient of age, interest rate, household size and distance were negative and significant at 10% and 5% levels. The results of the study call for policies aimed at encouraging microfinance banks to consider the farmers in accessing credit to increase their output, income and productivity in the study area.


1970 ◽  
Vol 19 (1) ◽  
pp. 117-127
Author(s):  
ME Ejechi

The study investigated determinants of adoption of recommended cassava production technologies among male farmers in Nasarawa State. Multi-stage sampling technique was employed for the selection of the respondent. Structured questionnaire was used for data collection. The data were collected from 60 male cassava farmers selected from 6 out of 13 LGAs in the State. They were Karu, Kokona, Akwanga, NasarawaEggon, Lafia and Obi. Data were analysed with both descriptive and inferential statistics. Descriptive statistics such as frequency tables, and percentage were used to describe socio-economic characteristics of the respondents. Logit regression model was used to estimate the determinants of adoption of these practices. The results showed that awareness and adoption of these practices were very high (Awareness of all the practices ranges from 90% to 98.3% while the adoption is from 63.3% to 90%). Factors that positively and significantly influenced adoption by male farmers were income (p=0.01) and extension contact (p=0.1). The conclusion was that men made remarkable contribution in cassava production. It was recommended that Governments at all levels formulate policies aimed at encouraging and motivating male cassava farmers. Provision of loans to male farmers and subsidizing of inputs should be ae necessary. Cassava processing industries should be established to add value and increase income.Keywords: Adoption, Cassava Technologies, Male farmers.


2020 ◽  
Vol 8 (3) ◽  
pp. 115-128
Author(s):  
Dominic Solomon Ojonugwa ◽  
Janet Ngozi Igbo ◽  
Hosea Abalaka Apeh ◽  
Eric Chima Ndukwu

The need to seek for innovative teaching methods to enhance the interest of mathematics low achievers necessitated this study. This study examined the effect of differentiated instruction on low achievers’ interest in mathematics based on gender. The sample size for the study consists of 66 males and 80 females identified mathematics low achievers. The researchers used multi-stage sampling technique. Mathematics Interest Rating Scale was the instrument used in collecting data. The pre-test and post-test data were analyzed using mean, standard deviations and Analysis of Covariance.  Results revealed that the use of differentiated instruction in teaching mathematics low achievers in primary school increased their interest in mathematics than conventional method. Influence of gender on interest of mathematics low achievers is significant. The interaction effect of instructional strategies and gender on mathematics interest of low achievers is not significant. The study provided empirical evidence that differentiated instruction acted as valuable tool for enhancing interest and achievement in mathematics therefore, researchers may benefit from the outcome of this article for further research. The data could serve as reference point for empirical study. Curriculum designers and text books authors may include information on the method in children’s’ text book.


Author(s):  
Dadson Awunyo-Vitor ◽  
Eric Oduro Osae ◽  
Sterling Donani

This study seeks to assess the determinants of property rates default in the Ashanti Region of Ghana. A multi-stage sampling technique was used to study 540 respondents from one municipal and five district assemblies within the region. A structured questionnaire collected data from the sampled respondents. Descriptive statistics (means, frequency distribution and percentages) and the probit regression model were then used to analyse the data with the help of SPSS and STATA respectively. The study found that most respondents who default are not aware of their obligation to pay property rates, and those who are aware fail to pay because they don’t know where to go to pay, or think the rate is too high. The study also revealed that a demographic characteristic such as income level, property value and property location influences rates of default. The study recommends raising awareness about the need to pay property rates and the penalty for any default.


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