Factors affecting the choice of marketing outlet selection strategies by smallholder farmers in Swaziland

2019 ◽  
Vol 11 (5) ◽  
pp. 569-577 ◽  
Author(s):  
Bongiwe Porrie Dlamini-Mazibuko ◽  
Stuart Ferrer ◽  
Gerald Ortmann
Keyword(s):  
Smallholder Farmers ◽  
Factors Affecting ◽  
Selection Strategies

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 Technical Efficiency Of Smallholders Of Oil Palm Cultivation In Ogan Komering Ilir

Agro Ekonomi ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 196
Author(s):  
Armina Fariani ◽  
Jamhari Jamhari ◽  
Any Suryantini
Keyword(s):  
Technical Efficiency ◽  
Oil Palm ◽  
Smallholder Farmers ◽  
Organic Fertilizer ◽  
Technical Level ◽  
Factors Affecting ◽  
Probabilistic Sampling ◽  
Npk Fertilizer ◽  
And Training ◽  
Descriptive Method

This study aims to (1) identify the factors affecting the production of oil palm cultivation business by the smallholders and (2) identify the technical level as well as factors influencing business inefficiency of oil palm cultivation by the smallholders  in Air Sugihan Sub District of Ogan Komering Ilir Regency, South Sumatera Province.  This research uses the  basic method of analytical descriptive method.  The data were collected by way of observation and direct interviews in the field guided by a questionnaire.  The research location was determined purposively, that is in Pangkalan Damai Village, Air Sugihan Sub-district, Ogan Komering Ilir Municipality, South Sumatera Province. Sampling was conducted using non probabilistic sampling method (purposive sampling).  The research investigated 79 smallholder farmers of oil palm cultivation in Pangkalan Damai village of Air Sugihan Sub-district, Ogan Komering Ilir Municipality, South Sumatera Province.  On the basis of the analysis, it is revealed  that (1) the factors affecting the increase of palm production were labor, land area, TSP fertilizer, NPK fertilizer, organic fertilizer, herbicides and insecticides which also have an effect on decreasing  palm production. (2) Palm plantation business was technically efficient with the average technical level of smallholder palm farmers in Air Sugihan Sub-district of Ogan Komering Ilir Municipality of 0.86090.  Factors that decrease the technical inefficiency in smallholder palm cultivation in Air Sugihan Sub-district of Ogan Komering Ilir Regency were farmers’ education level.  This information can be used by the goverment to improve technical efficiency through education in the form of counseling and training to increase production.

scholarly journals Factors affecting the adoption of agricultural innovations on underutilized cereals: The case of finger millet among smallholder farmers in Kenya

2018 ◽  
Vol 13 (36) ◽  
pp. 1888-1900 ◽  
Author(s):  
Jerop Rebecca ◽  
Dannenberg Peter ◽  
Owuor George ◽  
Mshenga Patience ◽  
Kimurto Paul ◽  
...  
Keyword(s):  
Finger Millet ◽  
Smallholder Farmers ◽  
Factors Affecting ◽  
Agricultural Innovations

Factors affecting adoption of agricultural water-saving technologies in Heilongjiang Province, China

Water Policy ◽  
2015 ◽  
Vol 17 (4) ◽  
pp. 581-594 ◽  
Author(s):  
Xiaoping Dai ◽  
Jing Chen ◽  
Dan Chen ◽  
Yuping Han
Keyword(s):  
Electric Power ◽  
Soil Texture ◽  
Smallholder Farmers ◽  
Water Source ◽  
Water Saving ◽  
Oil Price ◽  
Heilongjiang Province ◽  
Agricultural Water ◽  
Factors Affecting ◽  
Probability Of Adoption

This study aimed to find key factors influencing the decisions of farmers regarding the adoption of water-saving practices including the rice-controlling irrigation technique, drip irrigation under plastic film, and sprinkling irrigation in Heilongjiang Province, China. It was found that reliability of the water source and government promotion had very significant and positive associations with the probability of adoption. The number of household adults was a slightly significant factor that was positively associated with the probability of adoption. Risks of agricultural water-saving technologies, educational level of the respondents, soil texture, oil price, access to electric power, and access to labor were potential factors affecting the choice of agricultural water-saving technologies. Technical complexity, investment, water source, soil texture, oil price, and lack of electric power also impacted the adoption of these three agricultural water-saving technologies. These conclusions were obtained from a binary logistic model estimated from the results of a survey of 97 smallholder farmers from two typical cities in Heilongjiang Province. Finally, some recommendations are made to promoters of agricultural water-saving technologies.

Factors affecting the innovation potential of smallholder farmers in the Caribbean Community

2015 ◽  
Vol 15 (7) ◽  
pp. 1367-1377 ◽  
Author(s):  
Kristen Lowitt ◽  
Gordon M. Hickey ◽  
Arlette Saint Ville ◽  
Kaywana Raeburn ◽  
Theresa Thompson-Colón ◽  
...  
Keyword(s):  
Smallholder Farmers ◽  
Factors Affecting ◽  
Caribbean Community ◽  
Innovation Potential ◽  
The Caribbean

scholarly journals Production Efficiency of Sorghum: The Case of Smallholder Farmers in Kafta-Humera District Tigray Ethiopia

2021 ◽  
pp. 46-61
Author(s):  
Tewoderos Meleaku ◽  
Degye Goshu ◽  
Bosena Tegegne
Keyword(s):  
Production Efficiency ◽  
New Technologies ◽  
Smallholder Farmers ◽  
Allocative Efficiency ◽  
Sampling Technique ◽  
Farm Income ◽  
Stochastic Production Frontier ◽  
Resource Base ◽  
Factors Affecting ◽  
Sorghum Production

Efficiency is an important factor for increasing productivity which leads to increase market output to achieve the goal of food security. In economics where resources are scarce and opportunities to use new technologies are limited, increasing efficiency remains the most reasonable means to raise productivity without necessarily developing new technologies or increasing the resource base. So, this study aimed to investigate level of production efficiency, factors affecting production inefficiency of sorghum small holder farmers in Kafta-humera district of Tigray Ethiopia. A two stage sampling technique was used to select 289 sample farmers who were interviewed using a semi- structured questionnaire to obtain data pertaining to sorghum production during the year 2016/2017.Stochastic production frontier model was used to identify production efficiency levels, where as Tobit models was used to estimate factors affecting production efficiency levels. Accordingly, the mean technical, allocative and economic efficiencies were 78.01%, 65.21% and 39.91% respectively. This implies that output can be increased by 21.99% or cost can be reduced by 34.79% with the existing level of technology and resources. Input variables such as land, labor, tractor plow power, chemicals, DAP and Urea fertilizers positively affects production of sorghum. The discrepancy ratio (γ) implied that about 91.91% of the variation in sorghum production was attributed to technical inefficiency effects. Tobit model revealed that age, education, non-farm income, credit, extension service and training positively and significantly affected technical efficiency while age square and total livestock holding had negatively and significantly affected. Additionally, age square, education and frequency of farm visit positively and significantly affected allocative efficiency, while age, non-farm income, credit and extension contact have a negative and significant affect. Economic efficiency was positively and significantly affected by age, education, non-farm income, credit, extension contact and frequencies of farm visit but negatively affected by age square. These indicate that there is a room to increase in production efficiency of sorghum in the study area. Therefore, government authorities and other concerned bodies should take into consideration the above mentioned demographic, socioeconomic and institutional factors to increase efficiency of sorghum.

scholarly journals FACTORS AFFECTING ACCESS TO FORMAL CREDIT BY SMALLHOLDER FARMERS IN AN GIANG PROVINCE

2015 ◽  
Vol 18 (1) ◽  
pp. 28-39
Author(s):  
Ngoc Nhan Nhu Nguyen ◽  
Chinh Duc Pham
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Smallholder Farmers ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting ◽  
Five Factors ◽  
Household Assets ◽  
Loan Guarantees

This study was conducted to determinefactors that affect the access to formal credit by smallholder farmers in An Giang province. Applying binary logistic regression analysis on a sample of 210 households, we found that the access to formal credit by these households are affected by five factors, namely total value of household assets, participation in organizations, demand for loans from credit institutions, loan guarantees and accumulated income, in which the demand for loans has the greatest impact. From the regression results, we built a model to forecast the access to formal credit by households with 93.8%. precise forecastprobability.

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 Genotypic Variation in Cultivated and Wild Sorghum Genotypes in Response to Striga hermonthica Infestation

2021 ◽  
Vol 12 ◽  
Author(s):  
Nicoleta Muchira ◽  
Kahiu Ngugi ◽  
Lydia N. Wamalwa ◽  
Millicent Avosa ◽  
Wiliter Chepkorir ◽  
...  
Keyword(s):  
Field Trial ◽  
Smallholder Farmers ◽  
Genotypic Variation ◽  
Sub Saharan Africa ◽  
Striga Hermonthica ◽  
Sources Of Resistance ◽  
Factors Affecting ◽  
Progress Curve ◽  
Pot Trial ◽  
Sorghum Genotypes

Striga hermonthica is the most important parasitic weed in sub-Saharan Africa and remains one of the most devastating biotic factors affecting sorghum production in the western regions of Kenya. Farmers have traditionally managed Striga using cultural methods, but the most effective and practical solution to poor smallholder farmers is to develop Striga-resistant varieties. This study was undertaken with the aim of identifying new sources of resistance to Striga in comparison with the conventional sources as standard checks. We evaluated 64 sorghum genotypes consisting of wild relatives, landraces, improved varieties, and fourth filial generation (F4) progenies in both a field trial and a pot trial. Data were collected for days to 50% flowering (DTF), dry panicle weight (DPW, g), plant height (PH, cm), yield (YLD, t ha−1), 100-grain weight (HGW, g), overall disease score (ODS), overall pest score (OPS), area under Striga number progress curve (ASNPC), maximum above-ground Striga (NSmax), and number of Striga-forming capsules (NSFC) at relevant stages. Genetic diversity and hybridity confirmation was determined using Diversity Arrays Technology sequencing (DArT-seq). Residual heterosis for HGW and NSmax was calculated as the percent increase or decrease in performance of F4 crossover midparent (MP). The top 10 best yielding genotypes were predominantly F4 crosses in both experiments, all of which yielded better than resistant checks, except FRAMIDA in the field trial and HAKIKA in the pot trial. Five F4 progenies (ICSVIII IN × E36-1, LANDIWHITE × B35, B35 × E36-1, F6YQ212 × B35, and ICSVIII IN × LODOKA) recorded some of the highest HGW in both trials revealing their stability in good performance. Three genotypes (F6YQ212, GBK045827, and F6YQ212xB35) and one check (SRN39) were among the most resistant to Striga in both trials. SNPs generated from DArT-seq grouped the genotypes into three major clusters, with all resistant checks grouping in the same cluster except N13. We identified more resistant and high-yielding genotypes than the conventional checks, especially among the F4 crosses, which should be promoted for adoption by farmers. Future studies will need to look for more diverse sources of Striga resistance and pyramid different mechanisms of resistance into farmer-preferred varieties to enhance the durability of Striga resistance in the fields of farmers.

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