scholarly journals Determinants of the Use of Hermetic Storage Bags for Maize Storage among Smallholder Farmers in Northwest Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tigist Kefale Mekonen ◽  
Biruk Yazie Wubetie
Keyword(s):  
Production Systems ◽  
Smallholder Farmers ◽  
Group Discussion ◽  
Binary Logistic Regression ◽  
Simple Random Sampling ◽  
Northwest Ethiopia ◽  
Small Scale ◽  
Binary Logistic Regression Model ◽  
Storage Losses ◽  
Household Heads

In Ethiopia, postharvest losses, mainly storage losses by insects, are very critical problems in agricultural production systems. In particular, maize is highly susceptible to insect and pest attacks in the storage. These storage losses affect the livelihood of small-scale farmers by aggravating their food insecurity and reducing their household income. This critical problem forced the farmers to look forward modern storage technologies like Purdue improved crop storage (PICS) bags, but its adoption is considerably low in the study area. Therefore, the objectives of this study were to examine the determinants to use PICS bags for maize storage. Data were collected through semistructured questionnaire, group discussion, key informants, and direct observation. A total of 392 sample household heads were selected by simple random sampling techniques. Binary logistic regression model, descriptive statistics, and inferential statistics were employed to analyze the data. This study revealed that, about 58% of the respondents replied that the importance of PICS bags in reducing insect damage was high. The results of binary logit model also indicated that educational level, sex, awareness, training, accessibility, perception on the effect of pesticide, social responsibility, and total income of the household positively and significantly affect farmers’ decision to use PICS bags. Moreover, the price of PICS affects negatively and significantly. Therefore, policy makers have to give emphasis for this newly introduced storage technology to address storage loss problems by taking in to account these determinants.

scholarly journals Appraisal of Issues Influencing Soil-Steps Application for Sustainable Farmland Management in High-Potential District, Ethiopia

2018 ◽  
Vol 7 (3) ◽  
pp. 102
Author(s):  
Mehretie Belay
Keyword(s):  
Smallholder Farmers ◽  
Group Discussion ◽  
Household Head ◽  
Binary Logistic Regression ◽  
Northwest Ethiopia ◽  
Study Data ◽  
High Potential ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Chi Square Test

Soil damage by moving water is a somber predicament on farmlands in highland Ethiopia. Sizeable number of trial in farmland preservation has been executed to handle the crisis during the last tens of years. However, the attempts have not been vibrant to trim-down the danger to an attractive extent. This paper evaluates factors contributing to application of soil-steps (bunds) as sustainable farmland management technology (SFLMT) by smallholder farmers in one of the high-potential districts of northwest Ethiopia named Dangila Woreda (District). Mixed method triangulation designs involving concurrent acquisition and interpretation of quantitative and qualitative data were used in the study. Data were acquired from randomly chosen 201 farming households during the harvest seasons of 2011 and 2012. Ordered questionnaire, participatory field observation, key informant interview and focus group discussion were mechanisms employed during the data acquisition. Descriptive statistics (means, standard deviations and percentiles), Chi-square test, t-test and the binary logistic regression model were used to analyze the quantitative data. The qualitative information was textually narrated to augment the quantitative results. Findings of the investigation confirm that age of the household head, the number of household members, slope of the farmland, the size of the farmland held, households’ participation in indigenous labour-sharing activities and the number of farm tools owned were significantly increasing the building of soil-steps as SFLMT in the study district. Involvement in off-farm activities and pest invasions were considerably hindering farmers from building soil-steps on their farmlands. The results in general indicated that households’ access to livelihood assets are key promoters for farmers’ implementation of soil-steps on their farmlands. Local resource preservation and improvement trials should thus ponder on convalescing farmers’ material endowments to improve their capability to use soil-steps as SFLMT in their farming activities.

scholarly journals Nexus between Poverty and Child Labor: A Case Study in Narayanganj Area of Bangladesh Using Binary Logistic Regression

2021 ◽  
Vol 7 (11) ◽  
pp. 194
Author(s):  
Shamima Akter ◽  
Wasim Akram
Keyword(s):  
Logistic Regression ◽  
Child Labor ◽  
Odds Ratio ◽  
Group Discussion ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Drop Out ◽  
Poor People ◽  
Binary Logistic Regression Model ◽  
Household Heads

<p>The purpose of the study is to see how poverty influences child labor. To carry out the study, moderate poor people have been considered as respondents. Kalibazar and Langalband regions of Narayanganj district have been selected. Random sampling technique and Focused Group Discussion with children have been taken to conduct the study. Data has been collected from 50 Household Heads and 50 Children (male and female). For economic analysis, the Binary Logistic Regression model has been undertaken to see the relationship between poverty and child labor.  The analysis shows that the odds ratio indicates that drop-out children from school are 11.34 times more likely to go for taking the occupation of child labor due to poverty (major cause) than those children who have been dropped out due to other reasons (reference category). The study also shows that the families having no loan are 0.444 times less likely to go for child labor due to major causes (poverty) than that of the families having a loan. Moreover, the odds ratio corresponding to the children who use their income to help their families is 3.26. It means that the children who use their income for family purposes go 3.26 times more likely to take the occupation of child labor due to a major cause (poverty) than those children who do not use their income for family purposes. At the same time, the children who use their income for treatment purposes go 1.45 times more likely to take the occupation of child labor due to poverty (a major cause) than those children who do not use their income for treatment purposes.</p>

scholarly journals Determinants of Participation in Contract Farming Among Smallholder Dairy Farmers: The Case of North Shewa Zone of Oromia National Regional State, Ethiopia

2020 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Mosisa Hirpesa ◽  
Belaineh Legesse ◽  
Jema Haji ◽  
Ketema Bekele
Keyword(s):  
Smallholder Farmers ◽  
Group Discussion ◽  
Binary Logistic Regression ◽  
Price Uncertainty ◽  
Contract Farming ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
The North ◽  
Regional State ◽  
Sex Perception

The study analyzed the determinants of participation in dairy contract farming using data collected from 424 (192 participants and 232 non-participants) randomly selected milk-producing farmers from three districts of the North Shewa Zone of Oromia Regional State, Ethiopia. The study combines both quantitative and qualitative data obtained from household interview using semi structured questionnaire, key informant interview, focus group discussion, and direct personal observation. Descriptive statistics and econometric models were used to analyze data. The binary logistic regression model was employed to identify factors affecting participation in dairy contract farming. Results show that age, sex, perception of price uncertainty, frequency of extension contact and access to training significantly and positively affect participation in dairy contract farming while time taken to milk collection centers affected it significantly and negatively. Results suggest that the need to encourage young farmers, female-headed households, increasing frequency of extension contact, creating access for training, decentralization of milk collection centers and contract farming reduces perceived price uncertainty faced by smallholder farmers from the spot market through creating guaranteed milk price in the study area.&nbsp;

Communities’ awareness on environmental and social impacts of stone quarrying and its associated factors in Farta Woreda, Northwest, Ethiopia

2021 ◽  
Vol 8 (4) ◽  
pp. 2837-2846
Author(s):  
Mulugeta Asmamaw Mebratu ◽  
Mulugeta Birhan Nurie ◽  
Kinde Gebeyehu Reta ◽  
Tigabu Desie Emiru
Keyword(s):  
Binary Logistic Regression ◽  
Social Impacts ◽  
Northwest Ethiopia ◽  
Binary Logistic Regression Model ◽  
Group Discussions ◽  
Cross Sectional ◽  
Observation Methods ◽  
Considerable Impact ◽  
Household Heads ◽  
The Impact

Stone quarrying has a considerable impact on land, water, air, natural resources, and social welfare. The objective of this study was to assess communities’ awareness of the environmental and social impacts of stone quarrying in Farta woreda, Northwest Ethiopia. The study used a cross-sectional research design. The 359 sample respondents were randomly selected. Both quantitative and qualitative data were collected using household surveys, interviews, focus group discussions, and field observation methods. A binary logistic regression model was done to identify the independent variables of communities unaware of the impacts of stone quarrying. 62.7% and 57.38% of the surveyed households had aware of the impacts of stone quarrying social and environmental, respectively. Age of households heads from 31 - 40 (AOR = 1.272, 95% CI = (0.598-2.708), from 41 -50 age (AOR = 2.152, 95% CI = (0.947- 4.889), from 51- 65 age (AOR = 3.207, 95% CI = (1.405-7.321), Educational level of household heads, elementary school (1-8) (AOR = 2.985, 95% CI = (1.523-5.852), secondary school and above (AOR = 3.794, 95% CI = (1.841-7.820), Income of household heads from 10000 to 20000 birr (AOR = 2.254, 95% CI = (1.236 - 4.109), Income less than 1000 birr (AOR = 2.493, 95% CI = (1.419 - 4.380) were associated with unaware community on the impact of stone quarry. To solve present and future environmental and social problems, the study woreda Environmental Protection Offices should enhance communities’ awareness through awareness creation and environmental education program.

scholarly journals Determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia

2020 ◽  
Vol 12 (4) ◽  
pp. 463-476
Author(s):  
Hurgesa Hundera Hirpha ◽  
Sylvester Mpandeli ◽  
Amare Bantider
Keyword(s):  
Climate Change ◽  
Logistic Regression ◽  
Regression Model ◽  
Climate Change Adaptation ◽  
Logistic Regression Model ◽  
Smallholder Farmers ◽  
Binary Logistic Regression ◽  
Adaptation Strategies ◽  
Binary Logistic Regression Model ◽  
Content Type

Purpose The Ethiopian economy is mainly based on the rain-fed agriculture practiced by smallholder farmers. The sector is highly vulnerable to climate change impacts. This study aims to examine the determinants of adaptation strategies to climate change among the smallholder farmers in Adama District, Ethiopia. Design/methodology/approach A cross-sectional survey design was used to collect quantitative data using questionnaire with 351 randomly selected smallholder farmers. To collect qualitative data focus group discussions, key informant interviews and field observations were also used. Triangulated with thematic analysis, descriptive statistics and binary logistic regression model were used for the analysis. Findings The result indicated that the majority of the smallholder farmers use at least one climate change adaptation strategy in their local areas though the strategy is generally weak. In this regard, some of the dominant climate change adaptation activities identified in the study area are using improved crop varieties, planting trees, watershed management, adjusting planting date and terracing. The result from binary logistic regression model showed that age and sex of household head, as well as their education, family size, access to agricultural extension services and training on climate change significantly influence the practices of adaptation measures. Originality/value This study would help the practitioners to modify the existing weak adaptation activities by introducing advanced and technological-based adaptation strategies to the rural farming communities.

scholarly journals Direct cryopreservation of poultry/avian embryonic reproductive cells: A low-tech, cost-effective and efficient method for safeguarding genetic diversity

2021 ◽  
Author(s):  
Tuanjun Hu ◽  
Lorna Taylor ◽  
Adrian Sherman ◽  
Christian Keambou Tiambo ◽  
Steven J Kemp ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Resources ◽  
Production Systems ◽  
Smallholder Farmers ◽  
Effective Means ◽  
Cost Effective ◽  
Reproductive Technologies ◽  
Small Scale ◽  
Scale Production ◽  
Climate Resilience

Chickens are an important resource for smallholder farmers who raise locally adapted, genetically distinct breeds for eggs and meat. The development of efficient reproductive technologies to conserve and regenerate chicken breeds safeguards existing biodiversity and secures poultry genetic resources for climate resilience, biosecurity, and future food production. The majority of the over 1600 breeds of chicken are raised in low and lower to middle income countries (LMICs) under resource limited, small scale production systems, which necessitates a low tech, cost effective means of conserving diversity is needed. Here, we validate a simple biobanking technique using cryopreserved embryonic chicken gonads. The gonads are quickly isolated, visually sexed, pooled by sex, and cryopreserved. Subsequently, the stored material is thawed and dissociated before injection into sterile host chicken embryos. By using pooled GFP and RFP-labelled donor gonadal cells and Sire Dam Surrogate (SDS) mating, we demonstrate that chicks deriving entirely from male and female donor germ cells are hatched. This technology will enable ongoing efforts to conserve chicken genetic diversity for both commercial and small holder farmers, and to preserve existing genetic resources at poultry research facilities.

scholarly journals FACTORS INFLUENCING ADOPTION OF CROP AND FORAGE RELATED AND ANIMAL HUSBANDRY TECHNOLOGIES BY SMALL-SCALE DAIRY FARMERS IN CENTRAL MEXICO

2015 ◽  
Vol 52 (1) ◽  
pp. 87-109 ◽  
Author(s):  
CARLOS GALDINO MARTÍNEZ-GARCÍA ◽  
PETER DORWARD ◽  
TAHIR REHMAN
Keyword(s):  
Technology Adoption ◽  
Binary Logistic Regression ◽  
Animal Husbandry ◽  
Herd Size ◽  
Perceived Usefulness ◽  
Small Scale ◽  
Binary Logistic Regression Model ◽  
Wealth Status ◽  
Dairy Farmers ◽  
Small Scale Dairy

SUMMARYIn order to identify factors that constrain or favour adoption of five crop or forage related and six animal husbandry technologies promoted by government to small-scale dairy farmers, a field survey was conducted with 115 farmers. A binary logistic regression model was fitted to identify socioeconomic and farm variables explaining the technology adoption. Factors that favoured technology adoption were based on perceived usefulness, productivity and benefits to the farm, farmer's skills and farm characteristics; moreover farmers were more willing to use technologies which required low levels of investment such as de-worming, vaccines, and data recording. Constraints were related to economic restrictions, lack of knowledge, lack of land, herd size, lack of extension advice, lack of information about government programmes, requirements associated with applying for government financial support, and technologies considered to be of little or no importance to the farm such as herbicides, artificial insemination (AI) and milking machines. Adoption of crop or forage related and animal husbandry technologies was significantly associated (p < 0.05) with socioeconomic (farmer's education, farmer's experience, farmer's wealth status) and farm characteristics (herd size, cows in production, milk yield, total hectares and technological level). It is concluded that the approach implemented in this study enables identification of key factors together with the communication approaches that have been successful.

scholarly journals Fishers’ Decisions to Adopt Adaptation Strategies and Expectations for Their Children to Pursue the Same Profession in Chumphon Province, Thailand

Climate ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 34 ◽  
Author(s):  
Sukanya Sereenonchai ◽  
Noppol Arunrat
Keyword(s):  
Climate Change ◽  
Sea Water ◽  
Focal Point ◽  
Group Discussion ◽  
The Body ◽  
Coastal Communities ◽  
Future Climate Change ◽  
Small Scale ◽  
Binary Logistic Regression Model ◽  
Income Source

Coastal communities and small-scale fisheries are highly vulnerable to climate change. In this study, we aimed to examine fishers’ decisions to adapt to climate change and their expectations for their children to pursue the same profession. Data were obtained from fisher households covering 8 districts and 22 sub-districts in the coastal area of Chumphon Province, Thailand, using participatory observation, focus group discussion, and in-person field surveys. A binary logistic regression model was used to determine factors influencing the fishers’ decisions and their expectations for their children to inherit their occupation. Results showed that the fishers are aware of the increasing trends in air temperature, sea water temperature, inland precipitation, offshore precipitation, and storms. Increased fishing experience and fishing income increased the likelihood of the fishers applying adaptations to climate change. Looking to the future, fishers with high fishing incomes expect their children to pursue the occupation, whereas increased fishing experience, non-fishing incomes, and perceptions of storms likely discourage them from expecting their children to be fishers. Of the fishers interviewed, 58.06% decided to apply adaptations in response to climate change by incorporating climate-smart agriculture, particularly by cultivating rubber, oil palm, and orchards as a second income source. The adoption of climate-smart fisheries should be considered in relation to the body of local knowledge, as well as the needs and priorities of the fisher community. To cope with the impacts of current and future climate change on coastal communities, the national focal point of adaptation should be climate change, and related governmental agencies should pay more attention to these key factors for adaptation.

Socio-cultural Factors influencing livestock investment decisions among Smallholder Farmers in Mbulu and Bariadi Districts, Tanzania

2017 ◽  
Vol 20 (5) ◽  
pp. 1214-1230
Author(s):  
Nyanjige Mbembela Mayala ◽  
Mangasini Atanasi Katundu ◽  
Elibariki Emmanuel Msuya
Keyword(s):  
Smallholder Farmers ◽  
Influencing Factor ◽  
Investment Decisions ◽  
Binary Logistic Regression ◽  
Cultural Factors ◽  
Primary Data ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Number Of Children ◽  
The Government

Several different actors are involved in making sure smallholder farmers are motivated to commit funds in expectation of future returns (investment decisions) from useful domesticated animals (livestock). However, efforts by the government, international organizations and the private sector have not been able to significantly increase trade trends in Tanzania’s livestock which explains that there could be a lot more reasons for that. This manuscript assesses the socio-cultural factors (SCFs) influencing livestock investment decisions among smallholder farmers in Mbulu and Bariadi districts in Tanzania. A cross-sectional research design was employed where a sample of 333 respondents and 9 key informants were interviewed. Primary data were collected using a structured questionnaire and a key informant checklist. A binary logistic regression model (BLRM) was used to analyse the relationship between SCFs and livestock investment decisions. Results show that store of wealth is the most influencing factor followed by prestige, bride prices, ethnicity and number of children (significant at p < 0.05) to household livestock investment decisions. The study generally concludes that smallholder farmers consider their cultural perspectives before they decide on livestock management styles and that blending the SCFs and other factors could secure more livestock investments.

scholarly journals Beekeeping practice and honey production potential in Afar Regional State, Ethiopia

2018 ◽  
Vol 10 (1) ◽  
pp. 66-82 ◽  
Author(s):  
Gebrehaweria Kidane Reda ◽  
Shishay Girmay ◽  
Belets Gebremichael
Keyword(s):  
Production Systems ◽  
Smallholder Farmers ◽  
Group Discussion ◽  
Primary Data ◽  
Northern Ethiopia ◽  
Tropical Plants ◽  
Honey Production ◽  
Afar Region ◽  
Improved Technology ◽  
Structured Questionnaire

Abstract The contribution of beekeeping is perhaps one of the most important income-generating activities for millions of smallholder farmers in Ethiopia. This study was intended to assess beekeeping practices and potential in three districts of Afar Region, northern Ethiopia. Primary data were collected from 120 respondents proportionally selected from each district. Semi-structured questionnaire were employed to collect the primary data. Focus-group discussion was also used to support interpretation of the interview data. Basically, descriptive statistics were used to analyse the data. All respondents use traditional honey production system despite some recent trials. The mean live colony ownership of the sample beekeepers is 10.08 colonies per household, with a maximum ownership of 62 colonies. The study showed that the annual honey production per beehive varies from 4 to 17 kg, with a mean production of 9.66 kg. The majority of the respondents harvest two times per year, while 18%, 19%, and 14.2% of the respondents harvest three, four, and five times per year respectively. This might be due to the special floral calendar of tropical plants found in the areas. 67.5% of respondents supplement their colonies during dry season. Producers travel more than seven kilometres to sell their honey. On average, beekeepers sell 77.86 kg per year individually, with a range of 0 to 353 kg. The main constraints of honey production in the area are recurrent drought, poor extension service, lack of access to improved technology, deforestation, etc. Therefore, it requires intervention to change the old beekeeping practices through training and introducing improved production systems.

Sign in / Sign up

Export Citation Format

Share Document