Factors constraining rural households’ use of mobile phones in accessing agricultural information in Southern Ethiopia

Author(s):  
Deribe K. Kacharo ◽  
Zebedayo S. K. Mvena ◽  
Alfred S. Sife
Author(s):  
Wanno Wallole ◽  
Yishak Gecho ◽  
Tewodros Tefera

Livelihood diversification is enchanting a significant effect in generating household’s income. The livelihood diversification includes:on-farm, non-farm and off-farm strategies which are undertaken to get extra income and moderate hazard and insecurity. The purpose of this study was to examine the factors affecting the level of rural household livelihood diversification in Gamo Zone, Southern Ethiopia. The study was conducted by using a cross-sectional research design. It is a quantitative dominant concurrent mixed research methodology where the qualitative research is complemented with interpretations and triangulation. By applying multi-stage random sampling technique, a sample size of 400 household heads from 6 sample villages was selected and data were collected using interview schedule and via key informant interviews and focus group discussions. Descriptive statistics were analyzed and presented by using tables, graphs and figures while chi-square-test and F-test were employed to make statistical inferences. Tobit model was employed to identify the intensity of factors affecting of rural household’s livelihood diversification. Out of the 14 hypothesized explanatory variables, 6 variables namely age, education, access to extension, media access, distance to urban centers and training were found to have significant effect in rural household livelihood diversification decision. Therefore, the findings of this imply that rural households’ development policies should consider these factors in designing rural household livelihood diversification strategy.


2014 ◽  
Vol 74 (1) ◽  
pp. 87-114 ◽  
Author(s):  
Davide Castellani

Purpose – The purpose of this paper is to examine how shocks suffered by rural households in Ethiopia influence their decision to borrow and the source of credit. Design/methodology/approach – First, suppose a household faces a set of four borrowing alternatives: only formal borrowing, only informal borrowing, both formal and informal borrowing, and non-borrowing. Second, the paper assumes that the random component is independently and identically distributed in accordance with the extreme value distribution. These assumptions lead to the multinomial logit model. The paper estimates the model using data from a survey of 350 rural households in Southern Ethiopia. Findings – The paper finds that shocks are important factors in explaining both the decision to borrow and the source of credit. In particular, negative shocks that affect household's assets, such as the seizing of farmland and theft, or human capital, such as the death of the family head, reduce the probability of borrowing from formal lenders or from both formal and informal lenders at the same time. The study supports only to some extent the assumption that informal credit contributes to smooth consumption. Last, networking effect is very significant and demonstrates how the two markets interact. Research limitations/implications – A model that would consider dynamic consumption patterns would have been more appropriate. In fact, one of the limitations of the study is the reliance on a cross-section analysis and the data is limited to just one village. Further research would extend the data set geographically and across time. Practical implications – The formal lenders are not willing to provide contingent loans, maybe because of a limited ability to assess and diversify risk. Besides, the available formal credit products are not proper to finance long term risk management strategies but pesticides, fertilizers and improved seeds that are entirely used in every agricultural cycle. In this regard, proper risk transfer strategies and instruments, as well as better tailored loan products, are needed in order to increase outreach into the rural areas. Originality/value – To the authors’ knowledge, this is the first paper that investigates how shocks influence the decision to borrow and the source of credit in Ethiopia.


Author(s):  
Feleke Yehuwalashet Motuma ◽  
Temesgen Tadewos Zema

The major objective of this study was analyzing the demographic context of rural households by food poverty level: A case of Humbo district, Southern Ethiopia. To achieve this objective, relevant data were collected through a structured interview. The generated data were computed through descriptive (frequencies, percentages, ratios, mean values, standard deviation, standard error) and t-test inferential statistics to analyze desired household characteristics to poor and non-poor categories in Humbo district. Hence, comparing with non-poor rural households, poor rural households have less average of family size in Humbo district than non-poor households showing significant difference at 1 per cent significance level. There was an insignificant mean difference between poor and non-poor concerning dependency ratio, average age household heads and the female-male ratio of rural households at 5 per cent significance level in Humbo district. Our final conclusion was that effort should be made to improve those identified the demographic factors to alleviate rural food poverty of Humbo district. 


2020 ◽  
pp. 29-43
Author(s):  
Fassil Eshetu

Aim: This study aimed at examining the level and determinants of food insecurity of rural households in Southern Ethiopia using a sample of 574 households and two-stage least square estimation. Materials and Methods: A total sample of 574 rural households was selected from the three Districts proportionately: 160, 262 and 178 sample households from Demba Gofa, Kamba and Chencha District respectively. Samples of 11 kebeles or Peasant Associations were selected from the three Districts proportionately depending on the number of kebeles in each District. Results: The mean level of household food insecurity access score is 7.1847 or about 79.83 per cent of households in the study areas are food insecure. The study found that rural households at moisture stress low lands are more food insecure compared to households at middle lands and high lands. The two-stage least square estimation also revealed that food availability theory related factors such as family size and land size significantly affect food insecurity in the study areas. Moreover, food entitlement theory related factors like market access, education, livestock ownership, off-farm participation and productive safety net participation also significantly influenced food insecurity in Southern Ethiopia. Thus, both the demand and supply side factors are the main causes of food insecurity in Southern Ethiopia. Conclusion: Government has to invest in infrastructure so as to link production centres with consumption centres. Transforming the highly vulnerable rain-fed agriculture to more resilient irrigation-based agriculture is crucial so as to boost agricultural productivity and set an end to food insecurity in the country. Provision financial services and off-farm job opportunities for rural unbanked people, population control via family planning or adult education and ensuring political stability can reduce the vulnerability of the population to food insecurity in the study areas.


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