scholarly journals Commercialization of Smallholder Pulse Producers in East Gojjam Zone, Ethiopia

2019 ◽  
Vol 8 (4) ◽  
pp. 84
Author(s):  
Assefa Tilahun ◽  
Jema Haji ◽  
Lemma Zemedu ◽  
Dawit Alemu
Keyword(s):  
Smallholder Farmers ◽  
Farming System ◽  
Farm Households ◽  
Market Information ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Commercial Farming ◽  
New Varieties ◽  
Livestock Feeding ◽  
Land Size

This study examines pulse producers’ commercialization using a cross-sectional data obtained from 385 randomly and proportionately selected sampled households from East Gojjam zone, Amhara National Regional State of Ethiopia. Data were analyzed using descriptive statistics and econometric model to characterize sample households and identify factors affecting pulse output commercialization. The mean commercial index for the sample households was 0.345 which indicates that on average a household sold 34.5% of his/her total pulse produce. As a result, farm households’ output commercialization levels fall in semi-commercial farming system. Two limit Tobit model result indicated that farm households’ crop output commercialization was positively and significantly influenced by access to improved seed, cooperative membership, land size, access to market information and pulse yield and was negatively and significantly influenced by family size and livestock owned. Based on the findings, improved seed/new varieties should be released and accessed to smallholder farmers, deliver market information timely, land owned allocation should be intensified so that smallholder producers can increase their crop output commercialization, strengthening the existing farmers’ cooperatives and finally cut and carry livestock feeding system should be practiced in order to manage farm land properly.

Vegetable Production Efficiency of Smallholders’ Farmer in West Shewa Zone of Oromia National Regional State, Ethiopia

2019 ◽  
pp. 39-51
Keyword(s):  
Production Efficiency ◽  
Education Level ◽  
Farm Households ◽  
Vegetable Production ◽  
Pesticide Use ◽  
Access To Information ◽  
Chi Square ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Land Size

This study tried to identify factors affecting vegetable production efficiency using cross-sectional data obtained from 385 randomly and proportionally sampled households from three districts of West Shewa zone, Ethiopia. The data were analyzed using descriptive statistics such as mean, percentage, chi-square and mathematical approach data envelopment analysis DEA, econometrics model such as Tobit. Accordingly, DEA identify the average TE, AE and EE of farm households which encounter for 49.5%, 33.7% and 17.4% respectively. Factors affecting the inefficiency of vegetable production were identified using Tobit model. This model confirmed that age of households, education level, land size, access to irrigation, extension contact access to information and pesticide use were significantly affect TE, while age of the household, land size, access to irrigation, extension contact, access to information and pesticide use were factors affect AE of the farm households. Finally EE of the farm households was affected by age of the households, education level, land size, access to irrigation, access to information and pesticide use. The result suggested that improving the above problem can increase farmers’ economic efficiency in the study area.

Vegetable Production Efficiency of Smallholders’ Farmer in West Shewa Zone of Oromia National Regional State, Ethiopia

2019 ◽  
pp. 39-51
Keyword(s):  
Production Efficiency ◽  
Education Level ◽  
Farm Households ◽  
Vegetable Production ◽  
Pesticide Use ◽  
Access To Information ◽  
Chi Square ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Land Size

This study tried to identify factors affecting vegetable production efficiency using cross-sectional data obtained from 385 randomly and proportionally sampled households from three districts of West Shewa zone, Ethiopia. The data were analyzed using descriptive statistics such as mean, percentage, chi-square and mathematical approach data envelopment analysis DEA, econometrics model such as Tobit. Accordingly, DEA identify the average TE, AE and EE of farm households which encounter for 49.5%, 33.7% and 17.4% respectively. Factors affecting the inefficiency of vegetable production were identified using Tobit model. This model confirmed that age of households, education level, land size, access to irrigation, extension contact access to information and pesticide use were significantly affect TE, while age of the household, land size, access to irrigation, extension contact, access to information and pesticide use were factors affect AE of the farm households. Finally EE of the farm households was affected by age of the households, education level, land size, access to irrigation, access to information and pesticide use. The result suggested that improving the above problem can increase farmers’ economic efficiency in the study area.

Vegetable Production Efficiency of Smallholders’ Farmer in West Shewa Zone of Oromia National Regional State, Ethiopia

2019 ◽  
Vol 2 (1) ◽  
pp. 39-51
Author(s):  
Aman Rikitu Dassa ◽  
Bezabih Emana Lemu ◽  
Jema Haji Mohammad ◽  
Ketema Bekele Dadi
Keyword(s):  
Production Efficiency ◽  
Education Level ◽  
Farm Households ◽  
Vegetable Production ◽  
Pesticide Use ◽  
Access To Information ◽  
Chi Square ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Land Size

This study tried to identify factors affecting vegetable production efficiency using cross-sectional data obtained from 385 randomly and proportionally sampled households from three districts of West Shewa zone, Ethiopia. The data were analyzed using descriptive statistics such as mean, percentage, chi-square and mathematical approach data envelopment analysis DEA, econometrics model such as Tobit. Accordingly, DEA identify the average TE, AE and EE of farm households which encounter for 49.5%, 33.7% and 17.4% respectively. Factors affecting the inefficiency of vegetable production were identified using Tobit model. This model confirmed that age of households, education level, land size, access to irrigation, extension contact access to information and pesticide use were significantly affect TE, while age of the household, land size, access to irrigation, extension contact, access to information and pesticide use were factors affect AE of the farm households. Finally EE of the farm households was affected by age of the households, education level, land size, access to irrigation, access to information and pesticide use. The result suggested that improving the above problem can increase farmers’ economic efficiency in the study area.

Land Management for Agricultural Entrepreneurship Development: Farmers’ Perspective from Udayapur, Nepal

2020 ◽  
Vol 10 (2) ◽  
pp. 612-627
Author(s):  
Ashish Rai ◽  
Niranjan Devkota ◽  
Udbodh Bhandari ◽  
Udaya Raj Paudel
Keyword(s):  
Land Management ◽  
Negative Relationship ◽  
Market Information ◽  
Land Area ◽  
Cross Sectional ◽  
Crop Cycle ◽  
Inferential Analysis ◽  
Agricultural Entrepreneurship ◽  
Land Size ◽  
Structured Questionnaire

This study aims to explore farmers’ perspectives on land management for agricultural entrepreneurship in Udayapur, Nepal. The research is based on cross-sectional explanatory research design, and a structured questionnaire was administered for collecting the data from 297 farmers in Tiryuga, Chudandhigadhi, and Belaka municipalities in Udayapur. The results were derived with the help of descriptive and inferential analysis using STATA. The results show that agricultural training and market information play significant roles in gaining awareness about agricultural entrepreneurship and ideas on land management. Agricultural training, credit facilities, and market information have a positive relationship with an awareness of agricultural entrepreneurship and ideas on land management. In contrast, the age, land size, crop cycle, credit facility and agricultural subsidy have a negative relationship with them. This study suggests the need for increasing and enhancing the knowledge for farmers about agricultural entrepreneurship and proper land management in Nepal. The outcome of this study remains significant mostly in developing nations like Nepal and even in the developed ones to feed the growing population’s increasing food demand, as land area is limited on earth and the population living on it is swelling.

scholarly journals Access to bank credit by smallholder farmers in Tanzania: a case study

Afrika Focus ◽  
2018 ◽  
Vol 31 (1) ◽  
Author(s):  
Nsubili Isaga
Keyword(s):  
Regression Model ◽  
Financial Services ◽  
Smallholder Farmers ◽  
Bank Credit ◽  
Survey Method ◽  
Cross Sectional ◽  
Study Objective ◽  
Factors Affecting ◽  
Logit Regression ◽  
And Gender

Tanzania like many other developing countries is highly dependent on agriculture for income generation and job creation for its citizens. Because the sector is mainly composed of smallholder farmers, lack of finance remains the leading obstacle to development. This study seeks to determine factors that affect access to bank credit by smallholder farmers in the Mvomero District of Morogoro, Tanzania. The study used a cross-sectional design, with data being collected via the survey method. Purposeful sampling was used to obtain the respondents who fitted into the study objective. The data were analyzed using descriptive statistics and a logistic regression model. The Logit regression model in particular was employed to determine factors that affect smallholder farmers’ access to bank services. The study reveals that the value of assets invested in farming activities, education and gender are significant factors affecting smallholder farmers’ access to bank credit. Policy recommendations include the establishment of a government bank that would exclusively provide financial services to agriculturalists by establishing a credit guarantee scheme, and the development of new financial products by the banks that would cater to the needs of smallholder farmers. Key words: access, bank credit, smallholder farmers, logit regression

scholarly journals Determinants of Capital Formation of Smallholder Farmers in Kyrgyzstan

2018 ◽  
Author(s):  
Dastan Aseinov ◽  
Burulcha Sulaimanova ◽  
Kamalbek Karymshakov
Keyword(s):  
Smallholder Farmers ◽  
Household Survey ◽  
Capital Formation ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Positive Effects ◽  
Head Of Household ◽  
Household Survey Data ◽  
Physical Assets

Capital formation is crucial to increase output volume and quality in agricultural production activity of households. This study examines factors affecting capital formation of smallholder farmers in Kyrgyzstan ranging from household characteristics to location of farmers. Along with other traditional potential constraints that may have impact on capital formation, we examine the role of social network activities. These expenditures on customs and traditions may have both negative and positive effects on the capital formation in agriculture. Our empirical analysis is based on the cross-sectional household survey data for 2013. According to our findings, the amount of physical assets of households in Kyrgyzstan mainly depends on the share of expenses on customs and traditions, the total income, gender differences and the ethnicity of the head of household.

scholarly journals Performance of Smallholder Soybean Farmers in Ghana; Evidence from Upper West Region of Ghana

2020 ◽  
Author(s):  
Francis Akabo Asodina ◽  
Faizal Adams ◽  
Fred Nimoh ◽  
Bright Owusu Asante ◽  
Amos Mensah
Keyword(s):  
Technical Efficiency ◽  
Poverty Alleviation ◽  
Production Efficiency ◽  
Smallholder Farmers ◽  
Cross Sectional ◽  
Scale Elasticity ◽  
Factors Affecting ◽  
Soybean Production ◽  
West Region ◽  
Production Practices

Abstract The economic importance of soybean towards poverty alleviation and food security is gaining wider popularity and common acceptance among smallholder farmers in sub-Sahara Africa, especially in Ghana. Commercial soybean cultivation is relatively new in Ghana; hence it has recently benefited from several productivities enhancing innovation/technologies. However, despite these efforts, productivity has remained low. This paper investigates factors affecting production efficiency among commercial soybean farmers, across the three commercial districts of the Upper West region of Ghana. A cross-sectional data collected from 271 soybean farmers were used to investigate technical efficiency of soybean production. The overall mean technical efficiency estimate is 59% with a scale elasticity of 0.89-indicating a huge scope for efficiency improvement. The result shows that, factors affecting technical efficiency are dependent on the farmer’s socioeconomic status. With the existing technology and production recourses, soybean farmers can improve their current levels of soybean production by 41% through the adoption of best production practices.

scholarly journals Determinants of Maize Commercialization among Smallholder Farmers: The Case of Nunu Kumba District, East Wollega Zone, Oromia Regional State, Western Ethiopia

2019 ◽  
pp. 1-8
Author(s):  
Mabiratu Dangia ◽  
Prem Kumar Dara ◽  
Gersam Daniel
Keyword(s):  
Smallholder Farmers ◽  
Household Head ◽  
Institutional Arrangement ◽  
Ordered Logit ◽  
Market Participation ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Household Level ◽  
Speed Up ◽  
Infrastructure Strengthening

This study were aimed at analyzemaize producer’s household level of market participation, determinants of maize producer household’s degree of market participationand determinants of maize producer households level of commercialization in the study area. The study used a cross sectional data collected from 345 randomly selected households from four kebeles through semi-structured household questionnaires. Tobit model was used to analyze determinants of level of market participation of maize producers and ordered logit model was used to assess the factors affecting household maize commercialization.Based on Tobit result family size and distance from nearest market affected market participation of maize producers significantly and negatively, and land allocated for maize, access to improved seed, raw planting, amount of credit received and membership of cooperative affected market participation of maize producers significantly and positively. The result of ordered logit revealed that Marital status, Household size, distance from nearest market and age of household head significantly and negatively affected level of commercialization. Whereas, Household labor supply, access to improved seed, amount of fertilizer, credit amount, and household head education class positively and significantly affected level of commercialization. Policies that give more emphasis to family planning, improving and strengthening rural infrastructure, strengthening institutional arrangement like cooperatives have paramount implications to speed up the move from subsistence and semi commercial towards commercial oriented production.

scholarly journals An Integrated Conceptual Framework for ICT-based Market Information Source Adoption among Smallholder Farmers

2020 ◽  
Author(s):  
Christopher Nwafor
Keyword(s):  
Information Needs ◽  
Information Sources ◽  
Survey Methodology ◽  
Smallholder Farmers ◽  
Information Source ◽  
Farming System ◽  
Market Information ◽  
Relevant Market ◽  
Production Technologies ◽  
African Agriculture

The importance of ICTs for dissemination of information to farmers has been verified by extension practitioners, information and communication scholars, policy makers and development agencies. Information related to new seed varieties, production technologies, livestock breeds, vaccines, including weed and pest control, as well as relevant market information is constantly required by smallholder farmers. The identification of specific attributes among smallholder farmers which contributes to their adoption of a proposed ICT-based information source provides an important tool for developing interventions which address the information needs of farmers. Using a literature survey methodology, pertinent studies related to adoption of ICTs, farmers’ information source usage and relevant frameworks were identified, including applicable theories and models in technology adoption and information behaviour. In the proposed framework, the socio-economic characteristics of smallholder farmers were posited as key variables influencing smallholder farmers, within a farming system, to adopt ICT-based information sources. The framework contributes to discern the prospects of adopting ICT-based information sources by individual farmers within a farming system, and may also envisage other related welfare outcomes and market participation pathways among smallholder farmers. The review also addresses the paucity of conceptual discourse, while contributing to a growing pool of research on ICT in African agriculture.

Factors affecting loan repayment rate among smallholder farmers got loans from the Amhara Credit and Saving Institution: In the case of Habru District, Amhara Regional State, Ethiopia

2021 ◽  
pp. 223386592110409
Author(s):  
Andualem Kassegn ◽  
Ebrahim Endris
Keyword(s):  
Smallholder Farmers ◽  
Loan Repayment ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Secondary Sources ◽  
Multi Stage ◽  
Nonfarm Income ◽  
Development Agents ◽  
Land Size ◽  
Road Distance

The aim of this paper was to examine factors affecting loan repayment rate among smallholder farmers in the Habru District, Ethiopia, who had taken loans from the Amhara Credit and Saving Institution. In this study, both primary and secondary sources were used. The study employed a combination of multi-stage purposive and stratified sampling techniques in the selection of 384 borrowers from smallholder farmers in the study area. The Tobit model result found that a total of 10 out of the total 15 explanatory variables involved in the model were found to be statistically significant. According to the result demographic factors (age and household size), socio-economic factors (educational level, land size, livestock size, nonfarm income, purpose of borrowing), and institutional factors (road distance, contact with development agents, training received on loan use) were among the factors that influenced loan repayment rate of smallholder borrowers in the study area. Education level, land size, livestock size in tropical livestock unit, nonfarm income, purpose of borrowing, contact with agricultural extension agents, and training received on loan use were found to determine loan repayment rate of borrowers positively and significantly, while age, family size, and road distance were found to negatively and significantly determine loan repayment rate in the study area. Therefore, the overall results of this study underlined the great importance of the significant factors to profoundly achieve high repayment rate on borrowed funds from the Amhara Credit and Saving Institution in the studied area.

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