scholarly journals Determinants of Poverty Status of Cassava-based Farmers in Imo State, Nigeria

2019 ◽  
pp. 1-8
Author(s):  
M. N. Osuji
Keyword(s):  
Probit Model ◽  
Poverty Line ◽  
Probit Analysis ◽  
Household Size ◽  
Ordered Probit ◽  
Farm Size ◽  
Farm Income ◽  
Imo State ◽  
Poverty Status ◽  
The Mean

The study assessed the determinants of Poverty Status of Cassava based farmers in Imo State, specifically; it examined the socio-economic characteristics of cassava farmers and assessed determinants of poverty status among cassava-based farmers in Imo state. Multistage and purposive sampling techniques were used in selecting sixty (60) cassava-based farmers in the three agricultural zones in the area. Data used for the study were obtained using structured questionnaire. The data obtained were analyzed using descriptive statistics, Foster Greer Thorbecke (FGT) and ordered probit model. The result showed that the mean age was 50 years, 67% of the respondents were women, 47% of the respondents attended secondary education, they have 25 years mean farming experience, the mean household size was 6 persons, 88% of the farmers are married, and they have mean farm size of 1.03 hectare. The result of Foster Greer Thorbecke (FGT) analysis showed that the estimate of the poverty profile of cassava-based farmers in the study area was N62, 476.67k, the poverty incidence was 0.25, and the poverty depth and severity were 0.0659 and 0.0362 respectively. This implied that 6.59% of the total expenditure is required to close the poverty gap while in extreme cases additional 3.62% was required to cross the poverty line. The ordered probit analysis showed that education, household size, farm income and extension contact were statistically significant at 1% and 5% probability levels, respectively. Findings revealed that education, household size, farm income and extension contact were the significant determinants of farmers poverty status.

scholarly journals Households’ Decision to Participate in Cooperative Organizations: Evidence from Farmers in Akwa Ibom State, Southern Nigeria

2021 ◽  
Vol 2 (4) ◽  
pp. 28-36
Author(s):  
Nsikak-Abasi A. Etim ◽  
Samuel P. Udolnyang ◽  
Elizabeth S. Ebukiba ◽  
Edet J. Udoh
Keyword(s):  
Capital Accumulation ◽  
Probit Model ◽  
Sampling Procedure ◽  
Probit Analysis ◽  
Household Size ◽  
Primary Data ◽  
Farm Income ◽  
Factors Influencing ◽  
Farmer Organizations ◽  
Coefficient Of Concordance

Farmer organizations are effective mechanisms for increasing agricultural production, darners income and reducing poverty. Regrettably, farmers have not taken advantage of the lofty benefits accruable to those who voluntarily join these organizations. The study estimated the factors influencing households decision to participate in cooperative organizations and also tested the level of agreement among identified constraints linked with participation. Multistage sampling procedure was employed to select 120 farmers for the study. Primary data  were obtained using questionnaires. Data were analyzed using Probit model and Kendall’s coefficient of concordance. Results of analyses revealed that the mean age, years of educational attainment  household size and years of farming experience were 32, 15, 5 and 7 respectively. Result of probit analysis further indicate that age of the farmer, farm income, household size, participation in meeting, major decision maker, distance of farm to the nearest road and farmers social status were the most critical factors influencing households decision to participate in cooperative organizations. Result of Kendall’s coefficient of concordance revealed that there was 0.42 (moderate agreement) between the ranking of constraints associated with farmers' participation in cooperative organizations. Furthermore, findings showed that the top five factors limiting households’ decision to participate in cooperative organizations were inadequate capital accumulation, high embezzlement of funds, poor leadership, recurring internal crises and lack of initiative. Policies to provide good and accessible roads, increase farmers incomes and encourage youths are rational options that will enhance effective participation in cooperative organizations.

scholarly journals Analysis of the poverty status of cashew farmers in Kogi State, Nigeria

Agrosearch ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 16-25
Author(s):  
J.J. Pelemo ◽  
U. Mohammed ◽  
M. Omaku ◽  
S. Opara ◽  
V.C. Nnachukwu
Keyword(s):  
Formal Education ◽  
Poverty Line ◽  
Structured Interview ◽  
Farm Size ◽  
Average Income ◽  
Interview Schedule ◽  
Poverty Measure ◽  
Poverty Status ◽  
Collection Data ◽  
The Mean

The study examined the poverty status of cashew farmers in Kogi State, Nigeria. A sample size of 210 cashew farmers was selected using the Yamane formula. Structured interview schedule was used for data collection. Data were analyzed using descriptive statistics and Foster Greer Thobecke model. The findings revealed that 94.3% of the cashew farmers were of the male gender. The mean age of cashew farmers was 54.6 years. The mean years spent in formal education among cashew farmers was seven years while the mean farm size of cashew farmers was 6.1 hectares. The average income of cashew farmers over a period of 12 months was N134,517.14 while the poverty line was N 89,678.09. The FGT poverty measure showed that 24.8% of cashew farmers were living below poverty line. The poverty depth was 23.14% while poverty severity was 8.7%. The major constraints faced by cashew farmers were poor storage facilities and inadequate capital. It is recommended that government should provide storage and processing facilities in order to minimize the loss encountered by cashew farmers. Good and accessible feeder roads should be constructed for farmers and relevant extension sevices on cashew production should be provided to increase cashew output Keywords: Poverty, Cashew, Farmers, Constraints

scholarly journals Determinants of Poverty Status among Crop and Fish Farmers in Southern Nigeria

2020 ◽  
pp. 87-96
Author(s):  
I. O. Ettah ◽  
E. Agbachom Emmanuel ◽  
Ajigo Ikutal ◽  
Godwin Michael Ubi
Keyword(s):  
Sampling Technique ◽  
Poverty Line ◽  
Primary Sources ◽  
Farm Size ◽  
Farm Income ◽  
Crop Farming ◽  
Poverty Status ◽  
Poverty Indicators ◽  
Farming Households ◽  
Education Credit

The research study was carried out to determine the poverty status and their determinants among crop and fish farmers in Itu Local Government Area of Akwa Ibom State, Nigeria. A two-stage sampling technique was adopted to select crop farmers and fish farmers’ households in the study area. The data used for this study were obtained from primary sources. Data were obtained through validated structured questionnaires. The determinant of poverty among crop farmers and fish farmers was analyzed using logistic regression, while poverty indicators were analyzed using the three indicators of poverty as highlighted in the Foster, Greer and Thorbecke (FGT) model. Result of analysis on the incidence of poverty shows that about 52.5% of crop farmers and 62.5% of fish farmers in the area had their per capita income less than the poverty line income. The result also showed that poverty depths of 0.342 for crop farmers and 0.309 for fish farmers in the area. Similarly, the severity of the poverty index was 0.252 for crop farming households and 0.221 for fish farmers’ headed households. On the determinants of crop farmers, gender, age, marital status education, farm size and membership of association were all found to be positive and significant determinants, while education, credit, farm income and experience were the positive and significant determinant of poverty among fish farmers in the area. The following are recommended: credit delivery mechanism which is without or with very minimal stringent conditions (such as the provision of collateral) targeting the poor crop farming and fishing households should be implemented and improved crop farmers/fishermen access to technological information.

scholarly journals Structural Changes in Israeli Family Farms: Long-Run Trends in the Farm Size Distribution and the Role of Part-Time Farming

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 518
Author(s):  
Ayal Kimhi ◽  
Nitzan Tzur-Ilan
Keyword(s):  
Size Distribution ◽  
Structural Changes ◽  
Farm Size ◽  
Farm Income ◽  
Higher Moments ◽  
Full Time ◽  
Family Farms ◽  
Income Sources ◽  
Part Time ◽  
The Mean

Israeli agriculture has experienced rapid structural changes in recent decades, including the massive exit of farmers, a resulting increase in average farm size, a higher farm specialization and a higher reliance on non-farm income sources. The higher farm heterogeneity makes it necessary to examine changes in the entire farm size distribution rather than the common practice of analyzing changes in the average farm size alone. This article proposes a nonparametric analysis in which the change in the distribution of farm sizes between two periods is decomposed into several components, and the contributions of subgroups of farms to this change are analyzed. Using data on Israeli family farms, we analyze the changes in the farm size distribution in two separate time periods that are characterized by very different economic environments, focusing on the different contributions of full-time farms and part-time farms to the overall distributional changes. We found that between 1971 and 1981, a period characterized by stability and prosperity, the farm size distribution has shifted to the right with relatively minor changes in higher moments of the distribution. On the other hand, between 1981 and 1995, a largely unfavorable period to Israeli farmers, the change in the distribution was much more complex. While the overall change in the size distribution of farms was smaller in magnitude than in the earlier period, higher moments of the distribution were not less important than the increase in the mean and led to higher dispersion of farm sizes. Between 1971 and 1981, the contributions of full- and part-time farms to the change in the size distribution were quite similar. Between 1981 and 1995, however, full-time farms contributed mostly to the growth in the average farm size, while the average farm size among part-time farms actually decreased, and their contribution to the higher dispersion of farm sizes was quantitatively larger. This highlights the need to analyze the changes in the entire farm size distribution rather than focusing on the mean alone, and to allow for differences between types of farms.

scholarly journals Risks and determinants of risk management strategies among rural cassava-based farmers in Imo State

2020 ◽  
Vol 17 (2) ◽  
pp. 100-115
Author(s):  
C.E. Ahaneku ◽  
S.U.O. Onyeagocha ◽  
C.C. Eze ◽  
N.M. Chidiebere-Mark ◽  
G.O. Ellah ◽  
...  
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Imo State ◽  
Resistant Species ◽  
Risk Management Strategies ◽  
Multistage Sampling ◽  
Logit Regression Model

Cassava-based farmers are faced with a lot of risks and uncertainties and this results to low agricultural output and hinders the rural farmers from  pursuing their farming activities as an enterprise. The study assessed the risks and determinants of risk management strategies among rural cassava-based farmers in Imo State. A multistage sampling technique was used in the selection of respondents. Data were collected with the use of structured questionnaire administered to 180 respondents. Multinomial logit regression model was used to determine the factors influencing the choice of risk management strategies among rural cassava-based farmers in the study area. Results of the study showed that the farmers were of middle-age, fairly educated and have average farm size of one hectare. Majority of the farmers identified loss of crop due to disease (76.11%) and loss due to erosion (73.89%) as sources of risk farmers were exposed to. Also greater number of the respondents adopted practicing of mixed  cropping and planting of disease resistant species as risk management strategies. The result of the study also confirmed that age, gender, educational level and farm income were the major determinants of the farmers’ choice of risk management strategies. It was recommended that  government should make extension services functional and provide policies that will help boost the socio-economic welfare of farmers as this will significantly propel an increase in the choice effective risk management strategies in the area. Keywords: Risk management, risk management strategies, cassava based 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 COMPARATIVE ANALYSIS OF TOTAL FACTOR PRODUCTIVITY AMONG POTATO (Solanum tuberasum) FARMERS IN BOKKOS LOCAL GOVERNMENT AREA OF PLATEAU STATE, NIGERIA

2020 ◽  
Vol 4 (3) ◽  
pp. 275-284
Author(s):  
Solomon Folorunso ◽  
D. Bayo
Keyword(s):  
Local Government ◽  
Total Factor Productivity ◽  
Household Size ◽  
Local Government Area ◽  
Farm Income ◽  
Factor Productivity ◽  
Male And Female ◽  
Female Farmers ◽  
The Mean ◽  
Plateau State

This study compared Total Factor Productivity among potato farmers in Bokkos Local Government Area of Plateau State, Nigeria.  A multistage sampling technique was employed to select 96 male and 64 female respondents. Data was collected from primary source through the distribution of structured questionnaire and oral interview schedule. Data collected were analyzed using descriptive statistics, net farm income and total factor productivity (TFP) models. The findings revealed that the mean age of male and female household heads was 40 and 38 years respectively, the mean household size was 5 persons for male and 4 persons for female headed households, 82.3% and 73.5 of male and female respondents were married. The mean farming experience of male and female farmers was 19 and 15years, 62% and 66% of male and female respondents did not belong to any cooperative. Potato production was profitable with NFI per hectare of male and female respondents being N473,307.65 and N294,324.45 respectively. The BCR was 3.15 and 5.16 for male and female respondents. Profitability Index was 0.68 and 0.81 respectively for male and female farmers. The result of probit regression revealed that the coefficients of gender, household size, farming experience and amount of credit were significant. The study recommend that: implicit sensitization of the community leaders on the active role of women in agricultural development, Policy makers at all level of government should ensure discriminatory laws or customs against women are abolished, both male and female farmers should utilize more of their household members in 

Analysis on Resource Use Efficiency of Smallholder's Rice Production Farmers in Federal Capital Territory of Nigeria: Probit Model Approach

2021 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Sanusi Saheed Olakunle ◽  
Alabi Olugbenga Omotayo ◽  
Ebukiba Elizabeth Samuel
Keyword(s):  
Resource Use ◽  
Educational Level ◽  
Probit Model ◽  
Household Size ◽  
Rice Production ◽  
Farm Income ◽  
Resource Use Efficiency ◽  
Extension Services ◽  
Rice Farmers ◽  
Use Efficiency

This study examined the resource-use efficiency of smallholder rice production farmers in Federal Capital Territory, Nigeria. The problem of resource use among small-scale rice production farmers is preponderance in the country. Hence, the study investigated the drivers of the problem in the Federal Capital Territory of Nigeria. Specifically, the study was designed to determine the factors influencing the resource-use efficiency of the respondents. A multi-stage sampling technique was used to select a total sample size of one hundred and seventy-five (175) rice farmers in Federal Capital Territory, Nigeria. Seven estimators such as age, household size, farming experience, educational level, extension services, access to credit, and off-farm income in the Probit model were found statistically significant. Results show that the probability of resource use efficiency of inputs used by the farmers increases with age, farm size, household size, educational level, extension services, experiences in farming, access to credits, but decreases where they have off-farm income. Mc Fadden Pseudo-R2 gives 0.6772, and the Probit model explains a significant proportion of the variations in smallholder farmers' resource use. The study concluded that the socio-economic variables in the model play an important role in influencing resource use efficiency. The study recommends that government agencies and donors should provide simplified, accessible and obtainable credits and grants to existing and prospective rice farmers in order to sustain the current giant stride in rice production in the country.

scholarly journals Determinants of Market Participation of Smallholder Sorghum Farmers and Strategies for Improving Their Participation; the Case of Moretna Jiru District, Ethiopia

2020 ◽  
Author(s):  
Atinkugn Assefa Belete
Keyword(s):  
Significant Role ◽  
Management Practices ◽  
Probit Model ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Market Participation ◽  
Access To Credit ◽  
Smallholder Farm ◽  
Level Of Significance

Abstract The purpose of this study is to identify market participation of smallholder’s Sorghum producers in Moretna jiru district, central Ethiopia. Primary data was collected from 355 randomly selected smallholder farm households from three randomly selected kebeles in the district. The survey data was analyzed using descriptive statistics and econometrics model with probit and Tobit censored model. Results of the probit model analysis showed that output, farm size, extension contact and ownership of transport positive and significant role in households’ decision to participate in sorghum output sales at 1% level of significance; whereas, household income, off-farm income, access to credit and lack of information negatively at 1% and 10% level of significance. Results of Tobit censored analysis showed; extension contact, farm size, output and membership of farmer group have positive and significant role in the value of sorghum at 1% level of significance; while access to credit was found to have negative significant role at 5% level of significance. Farm size, output, extension contact and membership of farmer group was found to affect both households’ decisions to participate and intensity of participation in sorghum sales at 1% level of significance. Based on the findings there is a need to enhance the interaction between extension export and farmers and distribute trained extension exports in all kebeles by giving different trainings. ; and help the farmers improve land productivity, where possible, by intensifying farm practices through provision of sustainable and timely availability of inputs and management practices so as to generate surplus sorghum output and boost sales.

scholarly journals Factors Affecting Profitability of Smallholder Vegetable Farmers in the Shiselweni Region, Kingdom of Eswatini (Swaziland)

2019 ◽  
Vol 8 (1) ◽  
pp. 104 ◽  
Author(s):  
Lovemore M. Rugube ◽  
Sifisile P. Nsibande ◽  
Michael T. Masarirambi ◽  
Patricia J. Musi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Negative Relationship ◽  
Household Size ◽  
Farm Size ◽  
Primary Data ◽  
Factors Affecting ◽  
Vegetable Farmers ◽  
The Mean

Agriculture is the main anchor of the Eswatini economy and profitability in this sector still remains vital for sustainable development of the economy. This study investigated the factors affecting profitability of smallholder vegetable farmers in the Shiselweni region. Primary data was obtained using a structured questionnaire and personal interviews from 60 vegetable farmers. Data was analyzed using descriptive statistics, enterprise budget, profitability ratios and multiple linear regression models. The SPSS software was used. The results showed that the mean age of the vegetable farmers was found to be 50.5 years, the mean household size was 8 people, mean farming experience was 3 years, mean farm size was 3 hectares and the majority of the farmers had high school education. The net income of smallholder vegetable farmers was E5810.30. The results of the multiple linear regression analysis revealed that land size, gender, household size, had a direct relationship with profitability of vegetable production while age, education, experience, income and labour had a negative relationship. Farmers requested that the subsidized farm inputs should arrive on time, new engines be bought for them and dams be constructed to generate irrigation water in winter.

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