scholarly journals Production Efficiency of Major Crops among Smallholders Farmers in Central Ethiopia

2021 ◽  
Vol 61 (3) ◽  
Author(s):  
Masresha Y. Eskeziaw ◽  
Mengistu Ketema ◽  
Jema Haji ◽  
Ketema Bekele
Keyword(s):  
Agricultural Production ◽  
Smallholder Farmers ◽  
Addis Ababa ◽  
Household Head ◽  
Primary Data ◽  
Farm Income ◽  
Programming Technique ◽  
Central Ethiopia ◽  
The Mean ◽  
Economic Efficiencies

Agricultural production of most smallholders in Ethiopia is dependent with recurrent rainfall resulted in production variations. Limited input availability and precarious environmental conditions determine smallholders’ decisions on their production and the production efficiencies vary from farmer to farmer. This study was carried out with the aim of analyzing the technical, allocative and economic efficiencies of smallholder farmers in the production of major crops and their determinants in central Ethiopia, Oromia special zone surrounding Addis Ababa. Multistage sampling technique was employed to randomly and proportionally select 386 smallholders from ten PAs. Primary data were collected from smallholders through a semi structured questionnaire using face to face interview. Cross sectional data collected from sampled households in the study area were analyzed using mathematical and econometric methods. Mathematical programming technique selected for this study was Data Envelopment Analysis (DEA) using linear programming technique assuming multi-input and multi-outputs were handled. Tobit regression model was regressed against the socioeconomic, demographic, and institutional variables that are expected to affect the technical, allocative and economic efficiencies of sampled households. The results of estimated efficiency scores show the mean technical, allocative and economic efficiencies were 0.75, 0.60 and 0.45 respectively. The mean scores of efficiencies show underutilization of resources and the possibilities of smallholders to increase their agricultural production by 25%, and reduce cost of production by 40% and total cost by 55%. Marital status, level of education, farming experience, access to credit, cooperative membership, access to farming information, and off/non-farm income has positive influence on the technical, allocative and economic efficiencies. While age of the household head, access to training and livestock size has negative relations to efficiencies. Delivery of agricultural inputs and trainings on time by the government is the key policy implication to improve the efficiencies of smallholders.  

scholarly journals Willingness to pay for Rainfall based Insurance by Smallholder Farmers in Central Rift Valley of Ethiopia: The Case of Dugda and Mieso Woredas

2014 ◽  
Vol 1 (2) ◽  
pp. 117-152
Author(s):  
Hiwot Teshome Abebe ◽  
Ayalneh Bogale
Keyword(s):  
Willingness To Pay ◽  
Smallholder Farmers ◽  
Household Head ◽  
Insurance Premium ◽  
Tobit Model ◽  
Farm Income ◽  
The Mean ◽  
Income Variability ◽  
Risk Insurance ◽  
Small Holder

Current climate variability is already imposing significant challenge to Ethiopia. Therefore,  farmers  have  faced  income  variability  in  almost  every  production  season. Problems associated with dependence on rain fed agriculture are common in Ethiopia. Smallholder farmers’ vulnerability from such income variability is also common. Over the years, a range of risk management strategies have been used to reduce, or to assist farmers to absorb, some of these risks. Since insurance is potentially an important instrument to transfer part of the risk, this study try to describe the nature of weather related risks faced by smallholder farmers, assess small holder farmers willingness to pay for the rainfall risk insurance and examine factors that affect the maximum farmers are willing to pay for the rainfall risk insurance. The data was collected from 161 sample households from the two woredas of the study area using closed ended value elicitation format followed by open ended follow up questions. The study uses Logit model to estimate the mean willingness to pay in the close ended format in addition with Tobit model to examine factors that affecting small holder farmer willingness to pay as well as intensity of payment. The mean willingness to pay values are found to be 129.98 and 183.41 birr per hectare for the open and close ended formats respectively. The total willingness to pay for the study area was found to be birr 5,740,244 per year. The tobit model shows six potential explanatory variables affect the willingness to pay value. Income of household and ownership of radio have positive and significant effect on the value of willingness to pay, whereas off-farm income, age of household head, number of livestock owning and availability of public and private gifts have negative and significant effect on willingness to pay value. If the rainfall risk insurance premium is affordable and households have enough information about the service they are willing to pay for the service. Eventually policy makers need to be aware that socio-economic and institutional characteristics of households influence the willingness to pay for rainfall risk insurance services.

scholarly journals Application of Probit Analysis in the Decision of Youths to Participate in Vegetable Production

2020 ◽  
Vol 1 (5) ◽  
pp. 1-7
Author(s):  
Nsikak-Abasi Etim ◽  
Dorothy Thompson
Keyword(s):  
Agricultural Production ◽  
Smallholder Farmers ◽  
National Development ◽  
Probit Analysis ◽  
Primary Data ◽  
Farm Income ◽  
Small Scale ◽  
Vegetable Production ◽  
Probit Regression ◽  
Factors Affecting

Youths are successor farming generation and therefore the future of food security. At present, they constitute about 60% of Nigeria’s population and have over the years contributed significantly to national development. Unfortunately, the present environment makes it  difficult to explore their full potentials in  production through participation in agriculture. The ageing smallholder farmers are less likely to increase capacity needed to sustainably expand agricultural production. There is therefore a pressing need to engage the youth in ways that they can see a promising future in agriculture as well as influence them to build capacity through effective involvement in agricultural production. Several factors however, have continued to hinder capacity building and effective  participation of youths in vegetable farming. An empirical study was conducted to estimate the factors affecting the willingness  of youth to  participate in small scale waterleaf production. The representative waterleaf producers were selected using the multi stage sampling procedures.With the aid of questionnaire, primary data were obtained from 100 farmers. Univariate probit regression model was used to analyze the data. Results of analysis indicated that the most critical factors affecting the participation of youths in waterleaf production were age, educational qualification, size of household members, and farm income. Results indicated that youths who have acquired some form of education were more willing to be involved in waterleaf production. Findings further indicated that youth in families with higher income from farming activities were more willing to participate in waterleaf production.

Determinants of Households Vulnerability to Food Insecurity: Evidence from Southern Ethiopia

2020 ◽  
Vol 9 (1) ◽  
pp. 35-61
Author(s):  
Fassil Eshetu ◽  
Adem Guye
Keyword(s):  
Food Insecurity ◽  
Household Head ◽  
Safety Net ◽  
Least Square ◽  
Farm Income ◽  
Southern Ethiopia ◽  
Small Scale ◽  
The Mean ◽  
The Government ◽  
Semi Arid

This study examines the level and determinants of households’ vulnerability to food insecurity using feasible generalised least square method. Data were collected using structured questionnaires from a random sample of 574 households. Descriptive results indicated that the incidence, depth and severity of food insecurity were 68, 31 and 18 per cent, respectively, while mean vulnerability to food insecurity was 73.34 per cent. The mean level of vulnerability to food insecurity at Chencha (humid), Demba Gofa (semi-arid) and Kamba (arid) districts were 77, 55 and 84 per cent, respectively. In addition, the mean kilocalorie deficiency gap in the study areas was 682 Kcal per adult equivalent per day, while the mean kilocalorie deficiency gaps which would be needed to lift households out of food insecurity were 462, 440 and 506 Kcal per adult equivalent per day at Chencha (humid), Demba Gofa (semi-arid) and Kamba (arid) districts, respectively. Regression results revealed that the age of household head, family size, safety net programmes, distance from healthcare and death of household members significantly increase households’ vulnerability to food insecurity. But farm income, irrigation use and credit use significantly decrease households’ vulnerability to food insecurity. The government needs to provide credit, viable off-farm employment, small-scale irrigation services and road infrastructure to rural poor to reduce vulnerability to food insecurity. Population control and family planning would also increase resource and consumption per capita and will lead to lower vulnerability.

scholarly journals Determinants of Market Outlet Choices by Smallholder Chickpea Farmers in Estie District Amhara Region, Ethiopia

2021 ◽  
Author(s):  
Chernet Worku Erkie ◽  
Marlign Adugna ◽  
Essa Chanie
Keyword(s):  
Smallholder Farmers ◽  
Joint Probability ◽  
Probit Model ◽  
Sampling Procedure ◽  
Multivariate Probit ◽  
Primary Data ◽  
Farm Income ◽  
Cash Income ◽  
Multivariate Probit Model ◽  
Market Channel

Abstract In Ethiopia, chickpea is an important plus crop, particularly in Estie district. It is a source of food and provides cash income for majority of smallholder farmers. To commercialize chickpea producers, selecting an appropriate market channel is mandatory. However, selecting an appropriate market channel is not an easy task because there are different factors that affect market outlet choices in the district. Hence, this study aimed to identify factors that affecting chickpea market outlet choices. Both primary & secondary sources of data were used. A two-stage random sampling procedure was used and a total of 122 smallholder farmers were randomly and proportionally selected to collect primary data. Multivariate probit model was employed to identify factors affecting chickpea market outlet choices. The result shows that five major chickpea marketing channels were identified and among them wholesalers and retailers purchased about (61.84%) and (18.2%) respectively. The estimation result of multivariate probit model showed that the likelihood of sampled households to select collectors, consumers, retailers and wholesalers were 25.3%, 35.4%, 30.5% and 36%, respectively. The joint probability of success and failure to select all market outlets was 0.01537% and 13.4% respectively. It also indicated that sex of household, education status, family size, off-farm income, access to credit; lagged price and distance to market significantly affected the market channel choice decision of producers. Based on the findings, Government and concerned stakeholders need to focus more on enhancing accessibility of infrastructures facilities, strengthening credit access and improving yield through extension service to accelerate selecting appropriate market channel.

scholarly journals Analysis of the Factors Influencing Market Participation among Smallholder Rice Farmers in Magway Region, Central Dry Zone of Myanmar

2018 ◽  
Vol 10 (12) ◽  
pp. 4441 ◽  
Author(s):  
Nyein Kyaw ◽  
Soojung Ahn ◽  
Sang Lee
Keyword(s):  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Household Head ◽  
Sampling Technique ◽  
Primary Data ◽  
Small Scale ◽  
Market Participation ◽  
Rice Farmers ◽  
Factors Influencing ◽  
Dry Zone

Smallholder farmers face numerous constraints that restrict their access to markets and prevent them from taking advantage of market opportunities. This research aimed to examine the factors affecting the market participation of smallholder farmers and find ways to improve the income and livelihood of smallholder farmers, focusing on Myothit Township in Magway Region, Central Dry Zone of Myanmar. For the primary data, we surveyed 150 smallholder rice farmers which were selected using a random sampling technique. Using the Heckman two-stage selection model, we analyzed the factors influencing smallholder rice farmers’ decisions regarding participation in the agricultural market. This study revealed that the decision to participate in the rice market was dependent on different factors such as the household head age, education status, household size, total produce of rice, price of rice, household income, ownership of livestock, membership of farmer organization, access to roads, distance to market, access to extension services, and market information. The results of this study have implications as to what factors need to be addressed to encourage smallholder rice farmers to participate in the market. We suggest that Myanmar government and policymakers need to establish balanced policies for small-scale farmers and manage them in an appropriate way so that agricultural development can be induced, contributing to poverty reduction, food security, and economic development.

Socio-economic and environmental barriers to increased agricultural production: New evidence from central Thailand

2020 ◽  
pp. 003072702096736
Author(s):  
Chidchanok Apipoonyanon ◽  
Sylvia Szabo ◽  
Takuji W Tsusaka ◽  
Kevin Leeson ◽  
Endro Gunawan ◽  
...  
Keyword(s):  
Agricultural Production ◽  
Local Population ◽  
Household Head ◽  
Household Survey ◽  
Farm Size ◽  
Farm Income ◽  
Small Scale ◽  
Farm Type ◽  
Household Heads ◽  
Female Headed Households

Thailand’s agricultural production has played a major role in enhancing the sustainability of domestic food supplies and successful international exports. However, agricultural production and farm productivity remain relatively low, especially in rapidly ageing high out-migration areas and among small-scale farmers. In this study, we use new household survey data from Prachinburi Province to examine the probability of facing six specific barriers to agricultural production. Data were analysed using descriptive statistics and a series of logistic regressions to identify the determinants. The results show that age of household head, off-farm income, farm size, and farm type were all associated with the likelihood of different productivity barriers. Gender of household heads was found to be associated with the probability of farm labour shortage, with female-headed households being at a disadvantage. We recommend that policies should be formulated to address these significant factors in order to overcome or circumvent the different barriers and enhance the livelihoods of the local population.

scholarly journals Crop diversification analysis on red pepper dominated smallholder farming system: evidence from northwest Ethiopia

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Abebe Birara Dessie ◽  
Tadie Mirie Abate ◽  
Taye Melese Mekie ◽  
Yigrem Mengist Liyew
Keyword(s):  
Smallholder Farmers ◽  
Farming System ◽  
Structured Interview ◽  
Northwest Ethiopia ◽  
Primary Data ◽  
Farm Income ◽  
Northwestern Part ◽  
Crop Diversification ◽  
Infrastructure Development ◽  
Smallholder Farming

Abstract Background Ethiopia is the homeland of various crops due to its diverse and suitable agro-ecological zones. As a result, smallholder farmers grow multiple crops on a small piece of land both for consumption and commercial purposes in different portions of Ethiopia, including the northwestern part of the country. However, crop diversification status and extent of farmers were not well understood. Therefore, this study examined determinants of crop diversification in a pepper-dominated smallholder farming system in northwest Ethiopia. Methods Primary data was collected through a semi-structured interview schedule administered on 385 crop producers selected using a systematic random sampling technique. Moreover, the survey was supplemented by using secondary data, focus group discussions, and key informant interviews. Methods such as the descriptive, inferential statistics, and econometrics model were used for analyzing the data. Results The average crop diversification index was 0.77, and most smallholder farmers (92.46%) used crop diversification as a strategy for risk reduction, nutritional improvement, consumption, and commercial needs. Moreover, the Tobit model result revealed that the status and intensity of crop diversification were significantly influenced by farmland, sex, age, land fragmentation, distance to development center, market distance, and non-/off-farm income participation. Conclusion Generally, most farm households used crop diversification as a norm and best strategy for minimizing risk, income source, nutritional and livelihood improvement. Therefore, crop producers, agricultural experts, the Ethiopian government, and partner organizations should give special attention to extension service, market, and infrastructure development to enhance the role of agricultural diversification for households.

scholarly journals Determinants of Market Outlet Choices by Smallholder Chickpea Farmers in Estie District Amhara Region, Ethiopia

2020 ◽  
Author(s):  
Chernet Worku Erkie ◽  
Marlign Adugna ◽  
Essa Chanie
Keyword(s):  
Smallholder Farmers ◽  
Joint Probability ◽  
Probit Model ◽  
Sampling Procedure ◽  
Multivariate Probit ◽  
Primary Data ◽  
Farm Income ◽  
Cash Income ◽  
Multivariate Probit Model ◽  
Market Channel

Abstract In Ethiopia, chickpea is an important plus crop, particularly in Estie district. It is a source of food and provides cash income for majority of smallholder farmers. To commercialize chickpea producers, selecting an appropriate market channel is mandatory. However, selecting an appropriate market channel is not an easy task because there are different factors that affect market outlet choices in the district. Hence, this study aimed to identify factors that affecting chickpea market outlet choices. Both primary & secondary sources of data were used. A two-stage random sampling procedure was used and a total of 122 smallholder farmers were randomly and proportionally selected to collect primary data. Multivariate probit model was employed to identify factors affecting chickpea market outlet choices. The result shows that five major chickpea marketing channels were identified and among them wholesalers and retailers purchased about (61.84%) and (18.2%) respectively. The estimation result of multivariate probit model showed that the likelihood of sampled households to select collectors, consumers, retailers and wholesalers were 25.3%, 35.4%, 30.5% and 36%, respectively. The joint probability of success and failure to select all market outlets was 0.01537% and 13.4% respectively. It also indicated that sex of household, education status, family size, off-farm income, access to credit; lagged price and distance to market significantly affected the market channel choice decision of producers. Based on the findings, Government and concerned stakeholders need to focus more on enhancing accessibility of infrastructures facilities, strengthening credit access and improving yield through extension service to accelerate selecting appropriate market channel.

scholarly journals Commercialization of Teff production in West North Ethiopia

2021 ◽  
Author(s):  
Habtamu Mossie ◽  
Dubale Abate ◽  
Eden Kasse
Keyword(s):  
Market Orientation ◽  
Market Access ◽  
Smallholder Farmers ◽  
Sampling Procedure ◽  
Primary Data ◽  
Farm Income ◽  
Service Market ◽  
Agronomic Practices ◽  
Market Experience ◽  
Land Size

Abstract Background: Teff is only cereal crop Ethiopia’s in terms of production, acreage, and the number of farm holdings. It is one of the staples crops produced in the study area. However, the farm productivity, commercialization and level of intensity per hectare is low compared to the other cereals , Despite, smallholder farmers are not enough to participate in the teff market so the commercialization level is very low due to different factors. so, the study aimed to analyze determinants of smallholder farmer’s teff commercialization in west north, Ethiopia.Methods; A three-stage sampling procedure was used to take the sample respondents, 190 smallholder teff producers were selected to collect primary data through semi-structures questionnaires. Combinations of data analysis methods such as descriptive statistics and econometrics model (double hurdle) were used.Results: The average level of teff commercialization index of sampled Teff producers in the study area was 11.97%. The model result showed that the variables like age, gender, education, land size, variety, Teff market experience, distance to the nearest market, off-farm income, and credit were significantly affecting the market orientation of Teff production. Therefore, improving households’ market access, extension service, market orientation, education, and productivity of land (best agronomic practices) would enhance the commercialization level of smallholder Teff producers.

scholarly journals Factors Affecting Adoption of Integrated Pest Management Technologies by Smallholder Common Bean Farmers in Kenya: A Case Study of Machakos and Bungoma Counties

2019 ◽  
pp. 1-12
Author(s):  
Rosemary Akhungu Emongor ◽  
Roselyne Juma Uside
Keyword(s):  
Logistic Regression ◽  
Common Bean ◽  
Smallholder Farmers ◽  
Household Head ◽  
Sampling Procedure ◽  
Descriptive Statistics ◽  
Primary Data ◽  
Household Food Security ◽  
Significance Level ◽  
Pests And Diseases

Common Bean is an important pulse crop in Kenya. The yields of common beans in Kenya have been low and declining. The decline in Common Bean yields has been due to biotic and abiotic stresses. Research was carried out to determine factors that influenced the adoption of Integrated Pests and Disease Management technologies in Bungoma and Machakos counties, Kenya. A multi-stage sampling procedure was used to randomly sample 502 smallholder farmers in Bungoma and Machakos counties. Primary data were collected from sampled farmers by carrying out face to face interviews using a structured questionnaire. Data were analyzed using descriptive statistics and Logistic regression using Statistical Package for Social Scientists (SPSS) version 20 Software. Descriptive statistics results showed that farmers in the two study sites used both modern and indigenous technical knowledge (ITK) to control pests and diseases on their bean crops and produce. The Logistic regression results showed that five factors significantly influenced the choice of IPM technologies by farmers. These were: region, level of education of the household head, access to extension services, household food security status and availability of markets for beans.  Access to extension and region were highly significant at 1% significance level. To achieve high yields the factor that significantly increased adoption of IPM in bean production such as access to extension should be enhanced.

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