scholarly journals Comparative analysis of the profitability of small and medium scale cassava and palm fruit processing in Abia State, Nigeria

Agro-Science ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 1-5
Author(s):  
F.C. Okoronkwo ◽  
S.C. Onya ◽  
J.E. Amah
Keyword(s):  
Sampling Technique ◽  
Descriptive Statistics ◽  
Palm Fruit ◽  
Medium Scale ◽  
Net Returns ◽  
Multi Stage ◽  
Multiplier Effect ◽  
Fruit Processing ◽  
Active Processing ◽  
Level Government

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

INFRASTRUCTURE DEFICIT AND THE PERFORMANCE OF SMALL AND MEDIUM-SIZED ENTERPRISE IN THE POST COVID-19 NIGERIAN ECONOMY

2020 ◽  
Vol 8 (1) ◽  
pp. 1-11
Author(s):  
Cyprian Abur ◽  
Keyword(s):  
Production Function ◽  
Sampling Technique ◽  
The State ◽  
Descriptive Statistics ◽  
Multiplier Effect ◽  
Three Stages ◽  
The Government ◽  
And Performance ◽  
Douglas Production Function ◽  
Analyze Data

Infrastructure is one of the most critical factors for economic development in the post-COVID -19 because it will interact with the economy through the production processes and this will greatly impact the production and performance of SMEs in terms of output, income, and employment. This paper examines the effect of infrastructure deficit on the performance of small and medium-sized enterprises in Benue State. The study is aimed at identifying the state of infrastructure and the effect of infrastructure deficit on the performance of small and medium-sized enterprises in Nigeria. Three stages random sampling technique was employedtoselect750 SME’s in Nigeria. The study employed descriptive statistics and the Cobb-Douglas Production Function to analyze data. The descriptive statistics resultsshowthat88.9 percent of the SMEs emphasized that the state of infrastructure is poor in Nigeria while 79.1 percent of SMEs opined that poor state of infrastructure increased their cost of operation in the post-COVID -19.The Cobb-Douglas Production Function result showed that infrastructure deficit hurts the performance of small and medium-sized enterprises in Nigeria in the post-COVID -19.Thestudyconcludesthatinfrastructure has a multiplier effect on SMEs ’income. Deficiency infrastructure hampered the development of SME’s and this translates in to a fall in income, low revenue to the government as well as increase unemployment. The study recommended that governments should make policies that are infrastructure driven in other to encourage and allow entrepreneurs to gain more access to infrastructure to reduce cost and enhance SMEs' performance.

scholarly journals Determinants of Adoption of Cassava Technologies by Male Farmers in Nasarawa State, Nigeria

1970 ◽  
Vol 19 (1) ◽  
pp. 117-127
Author(s):  
ME Ejechi
Keyword(s):  
Sampling Technique ◽  
Descriptive Statistics ◽  
Logit Regression ◽  
Multi Stage ◽  
Cassava Production ◽  
Production Technologies ◽  
Logit Regression Model ◽  
Very High ◽  
Selection Of ◽  
Structured Questionnaire

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.

scholarly journals Determinants of property rate default: evidence from the Ashanti Region, Ghana

2015 ◽  
pp. 190-203 ◽  
Author(s):  
Dadson Awunyo-Vitor ◽  
Eric Oduro Osae ◽  
Sterling Donani
Keyword(s):  
Demographic Characteristic ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Property Value ◽  
Probit Regression ◽  
Ashanti Region ◽  
Multi Stage ◽  
Raising Awareness ◽  
District Assemblies ◽  
Structured Questionnaire

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.

scholarly journals Analysis of the challenges of small-scale farmers’ access to labor in North Central Nigeria

2020 ◽  
pp. 15-20
Author(s):  
O.S Akintobi
Keyword(s):  
Agricultural Production ◽  
Sample Selection ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Small Scale ◽  
North Central ◽  
Multi Stage ◽  
Human Labour ◽  
Small Scale Farmers ◽  
Good Access

The study analyzed the challenges experienced by small-scale farmers’ in accessing human labour in North Central Nigeria. Multi-stage random sampling technique was used for sample selection while questionnaires were used for data collection. A total of 1,750 farmers were randomly interviewed. Data were analyzed using descriptive statistics and one-way factorial analysis of variance and mean separation was done at 5% probability level. Result revealed small scale farmers perceived a lack of access to human labour for agricultural activities in the zone while mean separation showed Niger state has the highest access to labour while Abuja and Kwara states are the least state with access to labour. High cost of labour, lack of fund and scarcity of labour are the major challenges experienced by the farmers in accessing labour for agricultural production. Based on the findings, the research concluded that small scale farmers do not good access to labour while facing serious challenges which has resulted into increased cost of production for the small-scale farmers. The study recommends among others that combine hiring should be encouraged among farmers for the adoption of expensive labour saving technologies/ implements.

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
Keyword(s):  
Logistic Regression ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Agroforestry Technology ◽  
Multi Stage ◽  
And Gender ◽  
Agroforestry Technologies ◽  
Agroforestry Practices ◽  
Significant Factors

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.

Economic analysis of improved variety of groundnut production in north-western Nigeria

2021 ◽  
Vol 20 (1) ◽  
pp. 101-111
Author(s):  
A.O. Ojedokun
Keyword(s):  
Local Government ◽  
Economic Analysis ◽  
Sampling Technique ◽  
Study Data ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Access To Credit ◽  
Multi Stage ◽  
North Western ◽  
Structured Questionnaire

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.

scholarly journals Smallholders’ Willingness to Pay for Mechanization (Tractor Services) in Delta and Benue States, Nigeria

2020 ◽  
Vol 72 (1-3) ◽  
Author(s):  
Achoja Roland Onomu
Keyword(s):  
Willingness To Pay ◽  
Contingent Valuation ◽  
Smallholder Farmers ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Hurdle Model ◽  
Double Hurdle Model ◽  
Multi Stage ◽  
Valuation Methodology

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.

scholarly journals Awareness and Constraints of Aquaculture Biosecurity Among Fish Farmers in Ekiti State, Nigeria

2021 ◽  
Vol 21 (2) ◽  
pp. 83-92
Author(s):  
Siyanbola A. Omitoyin ◽  
Kemisola D. Osakuade
Keyword(s):  
Sampling Technique ◽  
Juvenile Stage ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Small Scale ◽  
Extension Agents ◽  
Fish Diseases ◽  
Multi Stage ◽  
Scale Of Operation

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.

scholarly journals Effects of banditry on income and livelihoods of yam marketers in Shiroro Local Government Area of Niger State, Nigeria

2021 ◽  
Vol 19 (1) ◽  
pp. 163-178
Author(s):  
U. Mohammed ◽  
I.S. Umar ◽  
R.S. Olaleye ◽  
J.J. Pelemo ◽  
B.S. Ahmad ◽  
...  
Keyword(s):  
Local Government ◽  
Sampling Technique ◽  
Local Government Area ◽  
Descriptive Statistics ◽  
Frequency Count ◽  
Economic Activities ◽  
Multi Stage ◽  
Income Generating Activities ◽  
Status Index ◽  
Structured Questionnaire

The study was on effects of banditry on income and livelihoods of yam marketers in Shiroro Local Government Area of Niger State, Nigeria. Banditry is one the major confronting production and marketing of yam in Shiroro Local Government of Niger State. The activities on banditry over the years have paralysed economic activities since majority of the populace derived their livelihood from farming. The menace posed by banditry has affected rural populace income livelihood thereby making them sojourning in the neighbouring Local Government Area. Multi-stage sampling technique was used to select 197 of yam marketers. Data were collected using structured  questionnaire and interview scheduled. Data were analysed using descriptive statistics (percentages, frequency, count and mean), multiple regression and livelihoods status index. The results revealed that majority of respondents were male with long year of experience in yam marketing. The coefficient of low participation on weekly contribution (Adashi) (1.9823.93) was negatively significant at 10% level of probability. Also, 84.8% of the respondents in the study area were of very low livelihood status. Displacement of yam marketers from their native markets to nearby markets (x̅=2.42) and rising of the price of yam stead (x̅=2.20) were the major constraints faced by yam  marketers. It was recommended that yam marketers should diversify into other income generating activities in order to improve their livelihood status and government should collaborate with village heads for provision of security for yam marketers.

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