scholarly journals Determinants of Adoption of Wheat Production Technology Package by Smallholder Farmers: Evidences from Eastern Ethiopia

2017 ◽  
Vol 5 (3) ◽  
pp. 267
Author(s):  
Degefu Kebede ◽  
Mengistu Ketema ◽  
Nigussie Dechassa ◽  
Feyisa Hundessa
Keyword(s):  
Smallholder Farmers ◽  
Household Head ◽  
Household Survey ◽  
Farm Size ◽  
Eastern Ethiopia ◽  
Adoption Of Technology ◽  
Factors Affecting ◽  
Wheat Production ◽  
Education Status ◽  
Market Distance

A study was conducted to analyze factors influencing adoption of wheat technology packages by smallholder farmers in Gurawa, Meta and Habro districts in eastern Ethiopia. The analysis was based on a household survey data collected from 136 randomly selected households. A Two-limit Tobit model was used to elucidate factors affecting adoption of technology packages measured based on an index derived from five components of wheat technologies which included row planting, pesticide application, use of improved varieties, and application of inorganic fertilizers, namely, Diammonium Phosphate (DAP) and Urea. Among the variables included in the model, variation in district, gender, age of the household head, education status of the household head, farm size, distance to market, distance to FTC (Farmers’ Training Centers), cooperative membership, dependency ratio, and annual income of the households were found to significantly affect the adoption of wheat technology packages. Policy makers, planners and development practitioners should give due attention to these determinants to support smallholder farmers in wheat production and enhance gains derived from it.

scholarly journals Analysis of Improved Indigenous Chicken Adoption Among Smallholder Farmers: Case of Makueni and Kakamega Counties, Kenya

2019 ◽  
Vol 7 (1) ◽  
pp. 21-37
Author(s):  
Christopher N. Kamau ◽  
Lucy W. Kabuage ◽  
Eric K. Bett
Keyword(s):  
Food Policy ◽  
Smallholder Farmers ◽  
Household Head ◽  
High Potential ◽  
Farm Size ◽  
Significant Variable ◽  
Indigenous Chicken ◽  
Pricing Policy ◽  
Training Centre ◽  
Adoption Decision

Indigenous chicken (IC) production is a source of food security and income among smallholder farmers within high potential areas and semi-arid lands (ASAL). The demand for IC eggs and meat is anticipated to increase threefold by the year 2020 by health conscious consumers. However, potential of IC to contribute to household incomes and poverty alleviation in ASAL is constrained by slow maturity of IC and low productivity. Hence, to address these constraints improved indigenous chicken (IIC) technologies have been developed and introduced to smallholders in high potential area and ASAL. However, only a few smallholder farmers have adopted the IIC technologies. Therefore the objective of this study was to determine the effect of farmer socioeconomic characteristics on adoption and intensity of adoption the IIC technology in Makueni and Kakamega counties. A total of 384 households were sampled using multi-stage sampling to collect data through interviews. The collected data was analyzed using a double hurdle model. The results suggest that sex of the household head, farm size, group membership, which had not been previously identified in IIC studies as a significant variable, distance to training centre, off-farm activities and IIC awareness significantly affected adoption decision of improved IC. On the other hand education of the household head, household size, farm size, source of information on IIC and awareness on IIC had significant effects on the level of adoption. The recommendations from this study have an implication on extension policy, land use policy, food policy, collective action and pricing policy in the context of technology adoption in Kenya.

scholarly journals Smallholder farmers willingness to pay for privatized agricultural extension services in Tigray National Regional State, Ethiopia

2020 ◽  
Vol 24 (4) ◽  
pp. 29-38
Author(s):  
Kidane Tesfay Gebreegziabher ◽  
Gidey Kidu Mezgebo
Keyword(s):  
Willingness To Pay ◽  
Smallholder Farmers ◽  
Group Discussion ◽  
Household Survey ◽  
Agricultural Extension ◽  
Sampling Procedure ◽  
Farm Size ◽  
Extension Service ◽  
Extension Services ◽  
Agricultural Extension Service

This study assessed farmers’ willingness to pay for privatization of agricultural extension services and examined factors that determine willingness to pay for those services. Multistage sampling procedure was used in selecting 240 households. Data were collected using household survey, focus group discussion and key informant interview tools. Data were analyzed using percentage and logit model. Results showed that 58% of the respondents were willing to pay for the privatization of agricultural extension services. Farm size, age, family size, credit access, frequency of extension contact and income were significantly influenced farmers’ willingness to pay for privatization of agricultural extension services. Privatization of agricultural extension services encourages graduates of agricultural sciences to launch consultancy firms and this engenders professional entrepreneurship. Number of visits, socioeconomic, and institutional factors must be given emphasis for privatizing the agricultural extension service in Ethiopia. Moreover, government should launch privatization parallel to the public agricultural extension services Keywords: Agricultural extension service, willingness, privatization. Ethiopia

scholarly journals Adoption Intensity of Selected Organic-Based Soil Fertility Management Technologies in the Central Highlands of Kenya

2021 ◽  
Vol 4 ◽  
Author(s):  
George G. Mwaura ◽  
Milka N. Kiboi ◽  
Eric K. Bett ◽  
Jayne N. Mugwe ◽  
Anne Muriuki ◽  
...  
Keyword(s):  
Soil Fertility ◽  
Smallholder Farmers ◽  
Household Head ◽  
Household Survey ◽  
Cultivated Land ◽  
Tobit Regression ◽  
Soil Fertility Management ◽  
Cross Sectional ◽  
Central Highlands ◽  
Adoption Intensity

Soil fertility decline continues to be a major challenge limiting agricultural productivity globally. Despite the novelty of organic-based technologies in enhancing agricultural production in Kenya's central highlands, adoption is low. Therefore, we carried out a cross-sectional household survey of 300 randomly selected smallholder farmers to determine the specific organic-based practices by farmers; and the socioeconomic factors that influence the adoption intensity of selected organic-based technologies. We used descriptive statistics to summarize the data and the Tobit regression model to evaluate the socioeconomic determinants of adoption intensity of selected organic-based technologies. We identified nine organic-based technologies that had different adoption rates among the farmers. The majority of the farmers had adopted manure (97%) and manure combined with fertilizer (92%) in Murang'a and Tharaka-Nithi, respectively. Manure was applied to the largest land in Murang'a with 31% of the cultivated land. In comparison, manure combined with fertilizer had the highest adoption intensity in Tharaka-Nithi applied to about 25% of the cultivated land. Gender, age of the household head, level of education, household size, access to external labor, training, Tropical Livestock Unit, agriculture group membership, access to credit, land cultivated, and farming experience influenced the adoption intensity of organic-based technologies among smallholder farmers. Based on the smallholder farmers' adoption behavior, this study can be used to disaggregate the farming households better in order to tailor specific organic-based soil fertility technologies solutions that meet their unique needs. One group would be those households that face specific constraints, as reflected in their low adoption rates, women-headed households and older farmers, and thus require more targeted / intensive efforts to overcome these barriers. The other group would be those households that require less focus because, when confronted with the technologies, they are more likely to adopt them easily, for example, the male-headed households. Hence, the smallholder farmers' adoption behavior, can enable policymakers to form a base for designing appropriate policies that encourage the adoption of organic-based soil fertility technology by smallholder farmers.

scholarly journals Choice of Information and Communication Technology Tools in Tomato Marketing Among Smallholder Farmers in Kirinyaga County, Kenya

2021 ◽  
Vol 25 (3) ◽  
pp. 81-92
Author(s):  
Kevin Orangi Mauti ◽  
Samuel Njiri Ndirangu ◽  
Samuel Chege Mwangi
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Smallholder Farmers ◽  
Structured Interview ◽  
Farm Size ◽  
Small Scale ◽  
Tomato Production ◽  
Factors Affecting ◽  
Information And Communication ◽  
Ict Tools

This study examined the factors influencing the choice of information and communication technology (ICT) tools used in tomato marketing by smallholder farmers in Kirinyaga County, Kenya. Households were selected through a combination of purposive, two-stage stratified and probability proportionate to size sampling techniques. The study employed Semi-structured interview schedules to collect data from the sampled small-scale tomato farmers. Factors affecting the choice of ICT tools in tomato marketing were identified using multivariate model. The study revealed that age, income, level of education, farmers’ experience, and farm size, tomato production, willingness to pay for ICT tools, tomato prices and knowledge on ICT are predictors of choice of ICT use. ICT should be given in such a way that all farmers can get information as per their need. Policy makers and agricultural extension agents should create awareness on the use and importance of ICT tools for farmers to accept and use available ICT tools.

scholarly journals The Determinants of Agricultural Crop Productivity among Smallholder Households in Haramaya Distinct, Eastern Ethiopia

2021 ◽  
Vol 04 (04) ◽  
pp. 146-153
Author(s):  
Desta Bati Nuno ◽  
◽  
Murad Mohammed Baker ◽  
Keyword(s):  
Crop Production ◽  
Smallholder Farmers ◽  
Organic Fertilizer ◽  
Household Head ◽  
Crop Productivity ◽  
Sampling Procedure ◽  
Agricultural Crop ◽  
Linear Regression Models ◽  
Eastern Ethiopia ◽  
Soil Fertility Status

The agricultural crop is a backbone in Ethiopia since the country's economy is mainly dependent on agriculture, which is dominated by subsistence smallholder farmers who are partially integrated into the market. The objective of this study was to identify the determinants of crop productivity among smallholder farmers in Haramaya distinct, Eastern Ethiopia. A two-stage random sampling procedure was employed to detect a sample containing 260 smallholder households in the study area. Data was collected through semi-structured questionnaire schedules administered to the selected household farmers. The features of smallholder farmers were analyzed through descriptive statistics and multiple linear regression models. The results indicated that the length of farming experience of the household head, number of economically active members in family, amount of organic fertilizer applied, irrigated land area, and soil fertility status of farmland were the significant determinants of agricultural crop productivity. To increase the production and productivity of smallholder farms, the farmers were provided with land irrigation. Based on these findings, the study recommends the provision of organic fertilizer to farmers. Policies should also target supplying improved technology and improved seed to enhance agricultural crop production in Ethiopia.

scholarly journals Adoption Intensity of Inorganic Fertilizers in Maize Production: Empirical Evidence from Smallholder Farmers in Eastern Ethiopia

2017 ◽  
Vol 9 (5) ◽  
pp. 124 ◽  
Author(s):  
Mengstu Ketema ◽  
Degefu Kebede
Keyword(s):  
Smallholder Farmers ◽  
Farm Size ◽  
Dependency Ratio ◽  
Annual Income ◽  
Eastern Ethiopia ◽  
Inorganic Fertilizers ◽  
Maize Production ◽  
Maize Productivity ◽  
Adoption Intensity ◽  
Econometric Result

Evidences suggested that use levels of inorganic fertilizers are below the recommended rates in maize production. It is, therefore, necessary to investigate the reasons behind the failure to adopt the recommended rates of these fertilizers on maize production. This study analyzed determinants of intensity of adoption using a survey data collected from 383 randomly selected maize producing households. For this purpose, a two-limit Tobit model was applied. The econometric result revealed that variation in districts, family size, membership to cooperatives, distance to FTC, and livestock holding significantly affected smallholders’ intensity of adoption of DAP in maize production. On the other side, variation in district, farming experience, farm size, membership to cooperatives, dependency ratio, and annual income significantly determined intensity of adoption of Urea. It is, therefore, necessary to give due emphasis to the indicated determinants in order to assist maize producing farmers by boosting maize productivity.

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.

Climate change perception and choice of adaptation strategies

2016 ◽  
Vol 8 (2) ◽  
pp. 253-270 ◽  
Author(s):  
Wondimagegn Tesfaye ◽  
Lemma Seifu
Keyword(s):  
Climate Change ◽  
Adverse Effects ◽  
Climate Change Adaptation ◽  
Smallholder Farmers ◽  
Food Prices ◽  
Adaptation Strategies ◽  
Farm Size ◽  
Eastern Ethiopia ◽  
Content Type ◽  
Climate Change Adaptation Strategies

Purpose – The purpose of this paper is to analyze smallholder farmers’ perceptions of climate change and its adverse effects, identify major adaptation strategies used by farmers and analyze the factors that influence the choice of adaptation strategy by smallholder farmers in eastern Ethiopia. Design/methodology/approach – The study was based on a cross-sectional survey of 296 sample households selected from three districts in east Ethiopia. Data were collected with the aid of a semi-structured questionnaire and review of literature, documents and databases. Findings – The study provides empirical evidence that majority of farmers in the study area are aware of climate change patterns and their adverse effect on income, food security, diversity, forest resources, food prices and crop and livestock diseases. In response to these adverse effects, major adaptation strategies used by farmers include cultivating different crops, planting different crop varieties, changing planting dates, use of soil and water conservation techniques, conservation agriculture practices and engaging in non-farm income activities. Choice of adaptation strategies are influenced by gender of household head, household size, farm size, distance from market and number of farm plots. Practical implications – The study suggests that developing more effective climate change adaptation strategies need support from the government. Such an effort needs provision of the necessary resources such as credit, information and extension services on climate change adaptation strategies and technologies, and investing in climate smart and resilient projects. Originality/value – The study adopts multivariate probit model that models farmers’ simultaneous adaptation choice behavior which has been rarely addressed by previous researches.

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 Factors Affecting Human Capital in Southern Punjab: An Empirical Analysis

2021 ◽  
Vol 4 (1) ◽  
pp. 179-191
Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Household Head ◽  
Household Survey ◽  
Ordinary Least Squares ◽  
Primary Data ◽  
Factors Affecting ◽  
Household Level ◽  
Annual Budget ◽  
Per Capita

Analyzing the factors affecting human capital at household level increases the productivity of people living in developing countries. A primary data was collected through a household survey to study the factors affecting human capital in Southern Punjab using Ordinary Least Squares (OLS) regression technique. The findings show that the location of the household in rural areas, occupation of the household head in the primary sector, household size, household poverty and female/male ratio shows significant and negatively affecting the human capital of the households in Southern Punjab. Moreover, per capita income, number of earners in the household, remittances are significant and positively affecting the human capital of the households in Southern Punjab. The annual budget allocation for education in Pakistan is very low, so Government should allocate a significant amount of funds to the education sector.

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