Rural Farm Households’ Income Diversification: The Case of Wolaita Zone, Southern Ethiopia

2016 ◽  
Vol 5 (6) ◽  
pp. 94 ◽  
Author(s):  
Yishak Gecho
Keyword(s):  
Farm Households ◽  
Southern Ethiopia ◽  
Income Diversification

scholarly journals What Explains Gender Gaps in Household Food Security? Evidence from Maize Farm Households in Southern Ethiopia

2021 ◽  
Author(s):  
Girma Gezimu Gebre ◽  
Hiroshi Isoda ◽  
Yuichiro Amekawa ◽  
Dil Bahadur Rahut ◽  
Hisako Nomura ◽  
...  
Keyword(s):  
Decision Making ◽  
Food Security ◽  
Farm Households ◽  
Primary Data ◽  
Household Food Security ◽  
Southern Ethiopia ◽  
Lower Probability ◽  
Gender Gaps ◽  
Joint Decision ◽  
Household Food

AbstractUsing primary data collected from 560 farm households in Dawuro zone, southern Ethiopia, this study analyzes the gender gaps in food security among male, female, and joint decision-making farm households. It examines the factors inducing gender gaps among the households of those three categories. The results show that female decision-making households have a lower probability of ensuring food-security and a higher probability of being transitionally and chronically food-insecure. Joint decision-making households showed a higher probability of falling into the chronically food-insecure category. The decomposition results show significant gender gaps between male and female decision-making households in terms of food-secure, transitory food-insecure, and chronically food-insecure categories. Overall, both the endowment and return effects account for the gaps; however, the magnitude of the effect from the return is higher than from the endowment on significant gaps in the food-secure, transitory, and chronically food-insecure categories. Hence, there is a need for policies that not only ensure equal levels of productive resources but also help households build their capacity in order to improve both transitory and chronically food insecure situations.

THE DETERMINANTS OF LIVELIHOOD INCOME DIVERSIFICATION AMONG RURAL FARMING HOUSEHOLDS IN OSUN STATE, NIGERIA.

2021 ◽  
Vol 5 (2) ◽  
pp. 79-84
Author(s):  
M. Akinyemi ◽  
J. A. Olayinka ◽  
M. Junaidu ◽  
D. Ekpa ◽  
T. Bodaga ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Rural Economy ◽  
Descriptive Statistics ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Practice ◽  
African Countries ◽  
Income Diversification ◽  
Access To Credit

Rural economy in Nigeria is worst hit with the erratic and unpredictable factors that affect agricultural practice which is the main livelihood of the rural farm households. Consequently, farmers are left with the option of sourcing other means of survival to cope with the hard times due to in consistent and seasonal distribution of income which characterize small farm holders in sub-Saharan African countries. This study investigates the factor influencing the livelihood income diversification among rural farm households in Osun state, Nigeria. Multi stage sampling techniques was employed to sample120 structured and pre-tested questionnaires from 120 rural farm households. Descriptive statistics and multiple regression analysis were used to analyze the data. The results of the descriptive statistics revealed that household heads of age range 50-60 years are 38.6% and about 40.70% had primary education while 26.30% had no education. About 98.31% of the rural households engaged in farming out of which 80.57% have farm size ranging between 1-3 hacters. Logit regression analysis shows that access to credit was positively significant (P<0.05) which implies that farmers that have access to credit were more likelihood to have income diversification. Age of the farmers was negatively significant (P<0.1). It connotes that the older the farmers the lesser the likelihood to income diversification. Income equivalent of household was positively significant (P<0.1). Access to electricity was positively significant (P<0.05). This implies that access to electricity increase farmer’s likelihood to income diversification. The off-farm income analysis shows that education and farm size were respectively negative and

Determinants of Income Diversification of Farm Households’ in Uttar Pradesh, India

2019 ◽  
Vol 49 (4) ◽  
pp. 465-483
Author(s):  
Waseem Khan ◽  
Mohammed Jamshed ◽  
Sana Fatima ◽  
Aruna Dhamija
Keyword(s):  
Uttar Pradesh ◽  
Farm Households ◽  
Income Diversification

scholarly journals The Effects of Non-Farm Enterprises on Farm Households’ Income and Consumption Expenditure in Rural India

2019 ◽  
Vol 19 (1) ◽  
pp. 195
Author(s):  
. Zeeshan ◽  
Geetilaxmi Mohapatra ◽  
Arun Kumar Giri
Keyword(s):  
Propensity Score ◽  
Farm Households ◽  
Rural India ◽  
Farm Income ◽  
Consumption Expenditure ◽  
Income Diversification ◽  
Probit Models ◽  
Structural Differences ◽  
Nationally Representative ◽  
On Farm

Nationally representative data of farm households from India Human Development Surveys (IHDS) conducted in 2004-05 and 2011-12 are explored. This article analyzes the effects of income diversification in non-farm enterprises on farm households’ income and consumption expenditure in rural India. Panel probit models were built to examine the determinants of income diversification while propensity score matching was used to account selection bias resulting from unobserved factors and controls for structural differences between diversified and undiversified farm households. The results suggest that by engaging in non-farm enterprises, rural farm households make positive gains in farm income and consumption expenditure.

THE DETERMINANTS OF LIVELIHOOD INCOME DIVERSIFICATION AMONG RURAL FARMING HOUSEHOLDS IN OSUN STATE, NIGERIA

2021 ◽  
Vol 5 (2) ◽  
pp. 171-176
Author(s):  
M. Akinyemi ◽  
J. A. Olayinka ◽  
M. Junaidu ◽  
D. Ekpa ◽  
T. Bodaga ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Rural Economy ◽  
Descriptive Statistics ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Practice ◽  
African Countries ◽  
Income Diversification ◽  
Access To Credit

Rural economy in Nigeria is worst hit with the erratic and unpredictable factors that affect agricultural practice which is the main livelihood of the rural farm households. Consequently, farmers are left with the option of sourcing other means of survival to cope with the hard times due to inconsistent and seasonal distribution of income which characterize small farm holders in sub-Saharan African countries. This study investigates the factor influencing the livelihood income diversification among rural farm households in Osun state, Nigeria. Multi stage sampling techniques was employed to sample 120 structured and pre-tested questionnaires from 120 rural farm households. Descriptive statistics and multiple regression analysis were used to analyze the data. The results of the descriptive statistics revealed that household heads of age range 50-60 years are 38.6% and about 40.70% had primary education while 26.30% had no education. About 98.31% of the rural households engaged in farming out of which 80.57% have farm size ranging between 1-3hacters. Logit regression analysis shows that access to credit was positively significant (P<0.05) which implies that farmers that have access to credit were more likelihood to have income diversification. Age of the farmers was negatively significant (P<0.1). It connotes that the older the farmers the lesser the likelihood to income diversification. Income equivalent of household was positively significant (P<0.1). Access to electricity was positively significant (P<0.05). This implies that access to electricity increase farmer’s likelihood to income diversification. The off-farm income analysis shows that education and farm size were respectively negative and

Economic Analysis of Non-Farm and Off-Farm Income Sector: A Way Ahead in Making Farmers Income Profitable

2021 ◽  
pp. 112-119
Keyword(s):  
Public Investment ◽  
Rural Households ◽  
Sampling Technique ◽  
Farm Households ◽  
Farm Income ◽  
Small Farmers ◽  
Income Diversification ◽  
Agricultural Income ◽  
Income Sources ◽  
Multi Stage

Income diversification is an important strategy to augments income among small and marginal farmers. This study evaluated the income diversification among farm households in the Ariyalur district. A multi-stage sampling technique was used, and 115 rural households were selected by applying Arkin and Colton formula. The data collected were analyzed using the Herfindahl index and Gini-coefficient. The results showed that the average number of income sources accessed by all marginal farmers is about 1.81, and small farmers are about 1.90, and small farmers had an income diversification range of 0.64 to 0.65, which is a medium diversification category. When the non-farm and off income were considered together with agricultural income, the overall income inequality dropped. The results suggested that the local government should take serious steps to create employment avenues for smallholders outside agriculture that provide credit, training, and necessary inputs to rural households and recommended for public investment in rural infrastructures, such as roads and bridges, telecommunications, education, energy, and water.

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