scholarly journals Determinants of credit demand by smallholder farmers in Morogoro, Tanzania

2021 ◽  
Vol 17 (8) ◽  
pp. 1068-1080
Author(s):  
Athanas Mwonge Lazaro ◽  
Naho Alexis
Keyword(s):  
Smallholder Farmers ◽  
Credit Demand

Impacts of credit constraint on small holder farmer’s technology adoption in Ethiopia

2017 ◽  
Vol 5 (2) ◽  
pp. 110-119 ◽  
Author(s):  
Hana WoldeKidan ◽  
Gebrelibanos Hadush ◽  
Kahsay Gerezihar
Keyword(s):  
Technology Adoption ◽  
Smallholder Farmers ◽  
Credit Market ◽  
Primary Data ◽  
Affect Intensity ◽  
Demand And Supply ◽  
Hurdle Models ◽  
Credit Demand ◽  
Double Hurdle ◽  
Land Size

The study is conducted using a primary data which was collected from 252 randomly selected households found in two woredas (districts) of Gedeo zone with the objective of analysing determinants of smallholder farmers’ participation in the credit market from both demand and supply sides and its implication on agricultural technology adoption and intensity of adoption. Probit and double-hurdle models are employed to analyse the data. Being young, number of oxen and distance to credit market are found to reduce the probability of being credit constrained. Age, number of oxen, family size and technology adoption are found to increase credit demand while land size, tropical livestock unit and distance to credit market have negative (unexpected) signs. In the double-hurdle model estimation while credit market participation, being literate, being young and livestock holdings are found to determine the probability of technology adoption positively having oxen, being credit constrained and far from input market affected probability of technology adoption negatively. In the last estimation, education, land size and livestock holdings turned out to affect intensity of adoption positively while number of oxen and distance to input market are found to reduce expenditure of farm technology.

scholarly journals The interrelationships among the formal, semiformal and informal credit demands of farm households in Vietnam

2021 ◽  
Vol 48 (5) ◽  
pp. 776-791
Author(s):  
Nguyen Tuan Anh ◽  
Christopher Gan ◽  
Dao Le Trang Anh
Keyword(s):  
Credit Markets ◽  
Smallholder Farmers ◽  
Probit Model ◽  
Farm Households ◽  
Red River Delta ◽  
Informal Credit ◽  
Content Type ◽  
Access To Credit ◽  
Credit Demand ◽  
Practical Implications

Purpose This study simultaneously explores the nexus among formal, semiformal and informal credit markets and farm households' credit demand determinants in Vietnam. Design/methodology/approach This study uses a multistage stratified random sampling process for a survey of 648 smallholder farmers in the Red River Delta (RRD), Vietnam. The trivariate probit model (TVPM) is used to address the interdependence of farm households' credit demands in different credit markets. Findings The results reveal complementary relationships among two pairs of credit markets (formal versus informal and semiformal versus informal). There are dissimilarities among the determinants (household characteristics, household head's characteristics, credit history and geographic factors) of farm households' credit demands in different markets, reflecting segmentation of Vietnam credit markets. Practical implications The study's empirical findings are important for policymakers and credit providers to enhance farm households' access to credit for agriculture and to improve the operations of the three credit markets. Originality/value This is the first empirical study in Vietnam and one of few in other developing countries simultaneously exploring the determinants of credit demand in and interrelationships among all three credit markets to provide more comprehensive and accurate results.

Challenges of Aircraft and Drone Spray Applications

2020 ◽  
Vol 31 (2) ◽  
pp. 83-88 ◽  
Author(s):  
Fernando K. Carvalho ◽  
Rodolfo G. Chechetto ◽  
Alisson A. B. Mota ◽  
Ulisses R. Antuniassi
Keyword(s):  
Smallholder Farmers ◽  
Crop Protection ◽  
Crop Canopy ◽  
Target Species ◽  
Buffer Zones ◽  
Correct Dose ◽  
Knapsack Sprayer ◽  
Water Courses ◽  
Low Toxicity ◽  
Heavy Loads

Crop protection on major crops is now required to follow the principles of integrated pest management so the timing and accuracy of any application of a pesticide or biopesticide has to be more precise to minimize adverse effects on non-target species. The development of UAVs (unmanned aerial vehicles) provides a means of providing a more targeted application of the correct dose, especially by using formulations that are more persistent, thus minimizing loss of spray in areas subject to rain. Avoiding use of too high a dosage allows greater survival of natural enemies and reduces the selection pressure for pests becoming resistant to specific modes of action. The downward flow of air from a UAV should also provide better distribution and impaction of droplets within a crop canopy, reduce soil impaction caused by taking heavy loads of spray applied with 200 l ha–1 of water, and allow treatments when fields are too wet to access with ground equipment. In Asia, many smallholder farmers are using a drone in preference to using a knapsack sprayer. According to Matthews, it has been shown that ULV spraying can be effective, but it needs a narrow droplet spectrum with the droplets remaining stable and not shrinking to become too small. Formulation research can reduce the volatility of the spray, hence the success of oil-based sprays. However, instead of petroleum-based oils, there is a chance to develop vegetable oil carriers with micro-sized particle suspensions to deliver low toxicity pesticides in droplets that can be deposited within the crop and not drift beyond the crop boundary. Oil deposits will be less prone to loss after rain so less should be lost in neighbouring ditches and water courses, especially as rainfall patterns are forecast to change. More studies are needed to evaluate the swath for deposition, buffer zones, formulation, nozzle selection, to guide future specific legislation for UAV applications.

Adoption and Commercialization of Green Corn, Green Corn –Based Silage, Haylage and Ummb Production for Dairy Cattle in Cagayan Valley, Philippines

2019 ◽  
Vol 4 (4) ◽  
pp. 82-92
Author(s):  
Eva U. Cammayo ◽  
Nilo E. Padilla
Keyword(s):  
Dairy Cattle ◽  
Nutritive Value ◽  
Crop Residues ◽  
Smallholder Farmers ◽  
Corn Silage ◽  
Small Scale ◽  
Dairy Farmers ◽  
Feed Resources ◽  
Dry Spell ◽  
Dairy Animals

This research aimed to improve dairy production and increase the income of dairy farmers using locally available feed resources. Small-scale milk producers rely heavily on available feed resources in the locality which are either indigenous in the area or introduced species for feed and nutrition of their dairy cattle and buffalos. Their milk output depends mainly on seasonal fluctuations in the quality and quantity of natural forage. Crop residues such as corn stover and rice straw which are high in fiber but low in nutrients serve as a feed supplement and filler to the daily diets of dairy cattle and buffalos. Cagayan Valley is an ear of top corn and rice-producing region. The potential of crop residues as feed supplements or raw materials of dairy cattle/buffalo feed mix is great. But dairy farmers still face the scarcity problem of quality feed resources for dairy animals especially during the dry season. The supply of forage is very low during the dry spell. Inadequate feed mix and low nutritive value of feed mix result in low or no milk production. Producing green corn and ensiling it to produce green corn silage preserves and prolong the storage life of forages. In this way, a stable supply of feed mix for dairy animals is assured year-round. Type of Paper: Empirical. Keywords: adoption and commercialization, dairy industry, financial viability, green-corn silage production, indigenous grasses, smallholder farmers.

THE FINANCIAL RETURN OF CEREAL FARMING FOR SMALLHOLDER FARMERS IN THE CENTRAL HIGHLANDS OF ETHIOPIA

2009 ◽  
Vol 46 (2) ◽  
pp. 137-153 ◽  
Author(s):  
LALISA ALEMAYEHU DUGUMA ◽  
IKA DARNHOFER ◽  
HERBERT HAGER
Keyword(s):  
Smallholder Farmers ◽  
Labour Productivity ◽  
Important Variable ◽  
Farm Size ◽  
Financial Return ◽  
Net Return ◽  
Net Returns ◽  
The Poor ◽  
Central Highlands ◽  
The Rich

SUMMARYA study was conducted in Suba area, central highlands of Ethiopia, to assess the net return, land and labour productivity, and the return to scale of cereal farming practice. Seventy-five farmers belonging to three local wealth classes (poor, medium and rich) were randomly selected and interviewed about inputs and outputs related to cereal farming for the production year 2007/2008. Farm soil properties were investigated to check the variability in soil quality among the wealth classes. Benefit:cost ratio (BCR), net returns and annual profit were used to indicate the worthiness of the cereal farming activity. The return to scale was estimated by using the Cobb–Douglas production function. The results show that cereal farming is a rewarding practice, with the rich households gaining more profit than the poor. Farm size was the most important variable that affects the net return. There is an increasing return to scale. However, it is unlikely that farmers will have more land than they own at present because of the land shortage problem in the country caused by the increasing human population. Thus, attention should be given to minimizing the costs of production through proper regulation of domestic fertilizer costs and increasing labour productivity especially for the poor and medium households. The use of manure and compost as an additional fertilizer should also be promoted.

scholarly journals Exploring Smallholder Farmers’ Preferences for Climate-Smart Seed Innovations: Empirical Evidence from Southern Ethiopia

2021 ◽  
Vol 13 (5) ◽  
pp. 2786
Author(s):  
Shimelis Araya Geda ◽  
Rainer Kühl
Keyword(s):  
Smallholder Farmers ◽  
Preference Heterogeneity ◽  
Southern Ethiopia ◽  
Significant Preference ◽  
Experiment Data ◽  
Breeding Programs ◽  
Drought Tolerant ◽  
The Face ◽  
Mnl Model ◽  
Participatory Research Methods

Rapid plant breeding is essential to overcome low productivity problems in the face of climatic challenges. Despite considerable efforts to improve breeding practices in Ethiopia, increasing varietal release does not necessarily imply that farmers have access to innovative varietal choices. Prior research did not adequately address whether varietal attributes are compatible with farmers’ preferences in harsh environmental conditions. With an agricultural policy mainly aiming to achieve productivity maximization, existing breeding programs prioritize varietal development based on yield superiority. Against this background, we estimated a multinomial logit (MNL) model based on choice-experiment data from 167 bean growers in southern Ethiopia to explore whether farmers’ attribute preferences significantly diverge from those of breeders’ priorities. Four important bean attributes identified through participatory research methods were used. The results demonstrate that farmers have a higher propensity toward drought-tolerant capability than any of the attributes considered. The model estimates further show the existence of significant preference heterogeneity across farmers. These findings provide important insight to design breeding profiles compatible with specific producer segments. We suggest demand-driven breeding innovations and dissemination strategies in order to accelerate the adoption of climate-smart and higher-yielding bean innovations that contribute to achieve the national and global sustainability goals in Ethiopia.

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