scholarly journals PROFITABILITY AND CONSTRAINTS OF IFAD/VCD RICE PROJECT AMONG SMALLHOLDER FARMERS IN NIGER STATE OF NIGERIA

2021 ◽  
Vol 21 (3) ◽  
pp. 199-208
Author(s):  
Sanusi Mohammed Sadiq ◽  
P I Singh ◽  
M M Ahmad ◽  
B J Yunnusa ◽  
M S Egba
Keyword(s):  
Value Chain ◽  
Capital Investment ◽  
Smallholder Farmers ◽  
Sampling Technique ◽  
Time Frame ◽  
Interview Schedule ◽  
Multi Stage ◽  
Cropping Season ◽  
Farming Household ◽  
Structured Questionnaire

Failure to sustain most of the rural poor and food security programmes in Nigeria after their life span is due to poor productivity of the capital investment of a project to generate a remunerative income to sustain a typical agrarian farming household in Nigeria. Thus, to critically investigate this hypothetical proposition, this research aimed at evaluating the viability of the IFAD rice project among the beneficiaries in Niger State of Nigeria. Undated data of the 2018 rainfed cropping season was elicited from 111 farmers through a multi-stage sampling technique and the information were collected viaa structured questionnaire complemented with an interview schedule. Both descriptive and inferential statistics were used to analyze the data collected. The empirical results showed that the rice project in the study area is likely not to be sustained after the stipulated time frame for the programme as inspite of the programme aim of doubling farmers’ income viz. value chain. The capital investment is not productive to sustain an average farming household composed of 8 persons having an operational holding of less than two hectares. Therefore, the study recommends provision of consumption credit in addition to the production credit advanced to the farmers in order to make the capital investment viable so that its turnover after each production season will be consistently re-invested into the rice project and possibility of a farmer taken-up additional activities along the chain, thus keeping the business going concern viable and sustainable.

scholarly journals Water Scarcity, Seasonal Variation and Social Conflict in Mountain Regions of Bangladesh

2021 ◽  
Vol 4 (1) ◽  
pp. 62-79
Author(s):  
Sheeladitya Chakma ◽  
Md. Nuralam Hossain ◽  
Md. Kamrul Islam ◽  
Md. Mohitul Hossain ◽  
Md. Nazirul Islam Sarker
Keyword(s):  
Water Scarcity ◽  
Forest Conservation ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
Interview Schedule ◽  
Cross Sectional ◽  
Multi Stage ◽  
Tube Wells ◽  
Domestic Use ◽  
Structured Questionnaire

The study intends to assess water scarcity, seasonal variations, and social conflicts through a cross sectional study based on people's perceptions. A well-structured questionnaire coupled with an interview schedule was used for data collection from the 60 households living in the mountainous two villages at Waga union of Kaptai Upazila under Rangamati District, Bangladesh. The study employed a multi-stage random sampling technique. The analysis reveals that 90% of respondents in Sapchari Monpara village mostly rely on spring for water, while 83% of respondents in Debotachari village depend on tube-wells. The study also shows that 80% of the respondents have experienced water scarcity in domestic use, while 90% of respondents have reported short duration of the rainy season causes water scarcity. More than 80% of respondents believe that shifting cultivation in upland catchments causes water quality degradation in the study villages. Most of the respondents obtain water easily in a monsoon at Sapchari Monpara, while others get from tube-wells and traditional wells in all seasons. About (87%) of respondents mention that forest conservation around the water sources can increase water availability.

scholarly journals Technical Efficiency of Soybean Farms and Its Determinants in Saboba and Chereponi Districts of Northern Ghana: A Stochastic Frontier Approach

2013 ◽  
Vol 2 (4) ◽  
pp. 106 ◽  
Author(s):  
Prince Maxwell Etwire ◽  
Edward Martey ◽  
Wilson Dogbe
Keyword(s):  
Technical Efficiency ◽  
Value Chain ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Northern Ghana ◽  
Stochastic Frontier Approach ◽  
Cross Sectional ◽  
Multi Stage ◽  
Short Run ◽  
Structured Questionnaire

<p>This study analyzes the level and determinants of technical efficiency of soybean farms in the Saboba and Chereponi districts of northern Ghana. A multi-stage sampling technique was used to select 200 soybean farmers from which cross-sectional data was collected using a structured questionnaire. Data collected includes farmers’ socio-economic characteristics such as age and education as well as input and output quantities and prices. Data was analyzed using the stochastic frontier approach. Results showed a mean technical efficiency estimate of 53 percent and the return to scale was 0.75. Location of farm, participation in the Agricultural Value Chain Mentorship Project and age of farmer were found to be important in explaining technical inefficiency among soybean farmers. This implies that farmers in the short run can increase their production by 47 percent by adopting practices of the best soybean farms in Saboba and Chereponi districts of northern Ghana.</p>

scholarly journals Socio-Demographic Determinants of Exclusive Breastfeeding Practices Among Nursing Mothers in Enugu State

2020 ◽  
Vol 5 (2) ◽  
pp. 15
Author(s):  
Anthonia C. Ogbe ◽  
Clementina U. Nwankwo ◽  
Theresa O. Agbele ◽  
Joshua C. Nwambo
Keyword(s):  
Standard Deviation ◽  
Exclusive Breastfeeding ◽  
Sampling Technique ◽  
Breastfeeding Practices ◽  
Multi Stage ◽  
Optimal Health ◽  
Nursing Mothers ◽  
Health And Development ◽  
Socio Demographic Factors ◽  
Structured Questionnaire

Exclusive breastfeeding (EBF) plays a pivotal role in determining the optimal health and development of infants with reduction in infant mortality. This study focuses on those factors which place nursing mothers in the likelihood of not adopting and practicing EBF. It is a descriptive study that utilized a multi-stage sampling technique. A structured questionnaire, mean and standard deviation were used. The result shows that the EBF practice among nursing mothers is high with a grand mean and standard deviation of 2.75 (0.61). Those with secondary qualification and below had 3.10(0.37) while tertiary had 2.23 (0.41). Mothers aged 25 and below had 3.39 (0.14) and above age 25 had 2.57(0.52).Parity of 1-4 had 2.93 (0.47) while parity of 5 and above had 1.93 (0.34). Married and single mothers had 2.75 (0.61) and 1.26 (0.05) respectively. Effective EBF education is needed to reduce socio-demographic factors that hinder mothers’ practice of EBF.

scholarly journals Determinants of Common Bean (Phaseolus Vulagris L.) Marketed Surplus Among Smallholder Farmers in Humbo and Damot Gale Woredas, Southern Ethiopia

2018 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Besufekad Belayneh ◽  
Tewodros Tefera ◽  
Thomas Lemma
Keyword(s):  
Common Bean ◽  
Smallholder Farmers ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Least Square ◽  
Primary Data ◽  
Southern Ethiopia ◽  
Cross Sectional ◽  
Ordinary Least Square ◽  
Multi Stage

This research was aimed to study the common bean (Phaseolus vulagris L.) marketed surplus among smallholder farmers in the Humbo and Damot Gale Woredas. A multi-stage sampling technique was used in order to determine the sample respondents. By using simple random sampling technique four sample Kebeles were selected. Cross sectional data were collected from 182 farm households who produced common bean in 2016 production season. Primary data were collected from sample households using structured questionnaire. Descriptive statistics and econometric model were employed to analyze the data. To identify determinants of marketed surplus of common bean, Ordinary Least Square (OLS) model was employed. The study suggest interventions such as intensification strategies which increase yields through proper management and use of inputs, rural infrastructure improvement increases the likelihood of market orientation and marketed surplus of common bean.

scholarly journals Determinants of Table Banking Loan Utilization among Micro Agri-Enterprises Owners in Bomet County, Kenya

2019 ◽  
Vol 3 (II) ◽  
pp. 145-158
Author(s):  
Kenneth Chepkwony ◽  
Hillary Bett ◽  
Kenneth Waluse Sibiko
Keyword(s):  
Significant Influence ◽  
Value Chain ◽  
Sampling Technique ◽  
Primary Data ◽  
Entrepreneurship Training ◽  
Study Objective ◽  
Creative Commons ◽  
Multi Stage ◽  
Analyse Data

Micro Agri-enterprises (MAEs) play a key role in economic development of Kenya. However, without finance they need to invest, their performance is stifled. Table banking (TB) strategy is an avenue through which MAE owners pool finances together, access credit and business development services. The study objective was to determine factors influencing utilization of table banking loans among MAE owners participating in table banking in Bomet County. Multi-stage sampling technique was used to select a sample of 382 MAE owners who borrowed long-term loans between 2015 and 2016 from TB groups promoted by Joyful women organization (JoyWO). Semi-structured questionnaires were used to collect primary data. Utilization of TB loans was measured by the amount of TB loan invested in MAE to the total amount of loan borrowed from TB within the study period. Two-limit Tobit model was used to analyse data. Entrepreneurship training received from TB program officers was found to have a positive and significant influence on utilization of TB loans. Location of agri-enterprise, agri-enterprise age and size were other factors found to influence utilization of TB loans positively and significantly. However, gender of MAE owners was found to have a negative and significant influence on utilization of TB loans. To boost utilization of table banking loans among MAE owners, table banking programme officers should tailor entrepreneurship and agribusiness trainings to meet the specific needs required by MAEs owners operating at different stages in the agricultural value chain. This is an open-access article published and distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License of United States unless otherwise stated. Access, citation and distribution of this article is allowed with full recognition of the authors and the source.

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 Extent and financial cost of cassava postharvest loss along the cassava value chain in Kwara State, Nigeria

2019 ◽  
Vol 114 (2) ◽  
pp. 149
Author(s):  
Samuel Temitope DANILOLA ◽  
Raphael BABATUNDE ◽  
Jubril ANIMASHAUN
Keyword(s):  
Value Chain ◽  
Diversity Index ◽  
Economic Status ◽  
Analytical Techniques ◽  
Sampling Technique ◽  
Tobit Regression ◽  
Factors Affecting ◽  
Postharvest Loss ◽  
Financial Implication ◽  
Structured Questionnaire

<p>Cassava has been identified as Africa’s second most important staple food after maize, in terms of calories consumed, with Nigeria as the World leading producer. This study estimated postharvest loss of cassava along the cassava value chain in Kwara State. It estimated the size of postharvest loss of cassava; analysed the factors responsible and the financial implications of loss; and identified the strategies employed in the mitigation of loss in the study area. A three-stage random sampling technique was used to select 117 cassava farmers whom were administered structured questionnaire to elicit data analysed by the study. Descriptive statistics, Shannon’s diversity index and Tobit regression model were the analytical techniques utilised. The results show that 68 % of the loss occurred at the harvesting. The loss was estimated to be about 3.8 t ha<sup>-1</sup>. The financial implication was valued at $ 300 ha<sup>-1</sup>. Analysis of the factors responsible for cassava postharvest loss showed that the quantity expected at harvesting, household size and age of the farmer were significant factors affecting cassava postharvest loss. The result also revealed that farmers mitigate these losses by processing the roots and reburying unused roots into the soil. Steps needed to reduce loss have to take these factors into consideration to improve the economic status of cassava farmers-processors.</p>

scholarly journals Market chain analysis of smallholder coffee producers in debub ari district of south omo zone, SNNPR, Ethiopia

2022 ◽  
Vol 11 (2) ◽  
pp. 61-68
Author(s):  
Y Alemayehu
Keyword(s):  
Group Discussion ◽  
Secondary Data ◽  
Sampling Technique ◽  
Price Setting ◽  
Market Chain ◽  
Multi Stage ◽  
Chain Analysis ◽  
Household Heads ◽  
Marketing Chain ◽  
Structured Questionnaire

This study mainly aimed at analyzing market chain analysis of coffee in the Debub Ari District. The descriptive and S-C-P model was used. Both primary and secondary data were collected from the study area. The multi-stage sampling technique employed for this study. A total of 194 coffee producer household heads have been randomly selected and interviewed with the help of pre-tested structured questionnaire. The focus group discussion and key informants interviews were conducted to supplement the formal data. The results of S-C-P model indicated that the four firms concentration ratio (CR4) result in the study area was found to be tight oligopolistic for both red and dry coffee which accounts 89.2 and 80.0%, respectively. About 72% of price setting was done by buyers, 27% negotiation and 1% by the producers. There are seven market channels, which have been identified in the study area. The computed marketing margin among different actors and channels indicated that the total gross marketing margin (TGMM) of coffee is high in channel I, II, III whereas the producers marketing margin (GMMp) was highest in channel VII. Therefore, the intervention is needed to improve coffee marketing chain through promoting cooperatives, infrastructural development and timely market information for efficient marketing system in the study area. Int. J. Agril. Res. Innov. Tech. 11(2): 61-68, Dec 2021

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 Profit efficiency among catfish farmers in Benue State, Nigeria

2012 ◽  
Vol 12 (54) ◽  
pp. 6759-6775
Author(s):  
PT Tsue ◽  
◽  
WL Lawal ◽  
VO Ayuba
Keyword(s):  
Computer Software ◽  
Sampling Technique ◽  
Mean Value ◽  
Important Variable ◽  
Farm Income ◽  
Profit Efficiency ◽  
Multi Stage ◽  
Short Run ◽  
And Training ◽  
Structured Questionnaire

The study examined profit efficiency among catfish farmers in Benue State of Nigeria using a stochastic profit frontier approach . A multi- stage sampling technique was used to collect data from 143 catfish farmers through a well structured questionnaire. T he study used a Cobb- Douglas stochastic profit frontier function to analyze the data and was estimated using a computer software, FRONTIER 4.1 version. The estimated elasticity parameters of variables with respect to g ross profit of catfish farmers revealed the significance of all the independent variables included in the stochastic profit function. However, the number of ponds (-0.02), cost of feed ( -0.30), cost of fingerlings ( -0.11) and cost of hired labour ( -0.004) had an inverse relationship with the profit of farmers with cost of feed being the most important variable decreasing the prof it of farmers in the study area. The negative elasticity of number of ponds with respect to farmers’ profit was likely due to under -utilization of ponds capacity. The result further indicated that the kilogramme of catfish produced (elasticity of 1.43) was the most important variable determining profit in catfish farming in the study area. Analysis of profit efficiency revealed a varied (23 -99%) profit efficiency of the farmers with a mean value of 0.84. This implies that the farmers were able to obtain a little above 80 percent of their potential profit from a unit mix of inputs. This means that about 16 percent of the profit is lost due to inefficiency of management. Thus, in the short run there is scope for increasing profit from catfish production by 16 percent by adopting the technology and the techniques used by the ‘best practiced’ catfish farmers. Analysis of the factors influencing profit efficiency revealed that while age of famers, farming experience and duration of culture positively influence d profit efficiency, years of education, off -catfish -farm income, and training negatively influenced profit efficiency. The policy implication of these findings is that profit inefficiency in catfish production can be reduced significantly overtime as the farmers get more experienced a nd a more conducive environment is created , to encourage more aged farmers to be involved in catfish production in a bid to alleviate poverty and food insecurity in the state and the country at large.

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