A conceptual framework for the economic analysis of factors influencing decision-making of small-scale farmers in animal health management

2001 ◽  
Vol 20 (3) ◽  
pp. 687-700 ◽  
Author(s):  
P. CHILONDA ◽  
G. VAN HUYLENBROEK
Keyword(s):  
Decision Making ◽  
Economic Analysis ◽  
Conceptual Framework ◽  
Health Management ◽  
Animal Health ◽  
Small Scale ◽  
Factors Influencing ◽  
Small Scale Farmers

scholarly journals How Information Communication Technology Can Enhance Evidence-Based Decisions and Farm-to-Fork Animal Traceability for Livestock Farmers

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
G. Mwanga ◽  
E. Mbega ◽  
Z. Yonah ◽  
M. G. G. Chagunda
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Data Analysis ◽  
Data Management ◽  
Animal Health ◽  
International Standards ◽  
Analytical Models ◽  
Small Scale ◽  
Livestock Sector ◽  
Small Scale Farmers

Due to changes in the livestock sector and the rise of consumer demand for comprehensive and integrated food security and safety, there has been a concern on the use of farm data in enhancing animal traceability and decision-making by farmers and other decision-makers in the livestock sector. To ensure high production through effective decision-making and auditable standards, producers are required to have better traceability and record systems. Therefore, this study aimed at (1) reviewing the current recording/data management and animal traceability systems used by small-scale farmers in developing countries and (2) analyzing how data management systems should be designed to enhance efficient decision-making and animal traceability from farm to fork. This study found that, still, a majority of small-scale farmers do not keep records leading to poor decision-making on the farm and policymaking. We also found that those who keep records do not store their data in electronic format, which again poses another challenge in data analysis. Moreover, this study found that the majority of traceability tools used by farmers in developing countries do not meet international standards based on tools they use for tracing animals; farmers were reported to use tools like branding and ear tagging, which provide very little information about the animal. Such tools lack the capability to keep track of useful information about an animal, e.g., information about feeding and animal health. In conclusion, this study recommended a better electronic system to be used at the farm level to facilitate data analysis, hence promoting informed decision-making and adherence to the international animal traceability standards. Otherwise, there is a need for researchers to conduct more studies in developing different analytical models for exploring on-farm data in order to improve the decision-making process by farmers and other stakeholders.

scholarly journals ‘Don’t Put the Cart before the Mule!’ Challenging Assumptions Regarding Health-Related Treatment Practices of Working Equid Owners in Northern India

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1307
Author(s):  
Caroline Nye ◽  
Tamlin Watson ◽  
Laura M. Kubasiewicz ◽  
Zoe Raw ◽  
Faith Burden
Keyword(s):  
Decision Making ◽  
Lived Experience ◽  
Health Management ◽  
Animal Health ◽  
Structured Interviews ◽  
Treatment Practices ◽  
Northern India ◽  
Brick Kilns ◽  
Treatment Measures ◽  
Working Equids

This paper challenges assumptions that the health management of working equids among some of India’s poorest communities is mainly dependent upon income, economic influence, or access to veterinary services. Using a mixed-methods approach, hierarchies of treatment practices are revealed through an examination of the ‘lived experience’ of equid owners in brick kilns and construction sites in northern India. Semi-structured interviews with 37 equid owners and corresponding livelihood surveys, combined with data from two focus groups with professional animal health practitioners and the welfare data of 63 working equids collected using the Equid Assessment, Research, and Scoping (EARS) tool, contributed to the findings of the study. Four principal influencing factors were found to affect the decision-making practices of equid owners. Infrastructural factors, community characteristics and experience, owners’ characteristics and experience, and economic factors all impact the belief structures of equid owners. However, without verifying the validity of the treatment measures being employed, some animals are at risk from hazardous treatment behaviours. By understanding decision-making using the theory of planned behaviour, the findings of this study can provide a crucial contribution to informing future interventions involved in the health management and welfare of working equids.

“Flu-Floppers”: Factors Influencing Families’ Fickle Flu Vaccination Patterns

2020 ◽  
Vol 59 (4-5) ◽  
pp. 352-359 ◽  
Author(s):  
Benjamin N. Fogel ◽  
Steven D. Hicks
Keyword(s):  
Decision Making ◽  
Influenza Vaccination ◽  
Conceptual Framework ◽  
Strong Predictor ◽  
Common Reason ◽  
Vaccination Rates ◽  
Factors Associated ◽  
Flu Vaccination ◽  
Factors Influencing ◽  
Vaccine Decision Making

While influenza vaccination in the prior year is a strong predictor of subsequent vaccination, many families do not have static vaccination patterns. This study examined factors guiding influenza vaccination decisions among parents whose children sporadically received the influenza vaccination (flu-floppers). We administered surveys to 141 flu-flopper families. Surveys included 21 factors associated with vaccine decision making. A conceptual framework of “passive” and “active” decision making was used to assess parental motivators behind vaccine decisions. The most common reason for vaccinating was a desire to prevent influenza (45%). The most common reason for not vaccinating was a belief that influenza vaccination is not effective (29%). Most parents (88%) reported an active reason in years when their child was vaccinated, while only 43% reported an active reason when their child was not vaccinated ( P < .00001). These findings may guide efforts to increase influenza vaccination rates in children most amenable to vaccination.

scholarly journals The role of infectious disease impact in informing decision-making for animal health management in aquaculture systems in Bangladesh

2019 ◽  
Vol 167 ◽  
pp. 202-213 ◽  
Author(s):  
Maria Garza ◽  
Chadag Vishnumurthy Mohan ◽  
Meezanur Rahman ◽  
Barbara Wieland ◽  
Barbara Häsler
Keyword(s):  
Infectious Disease ◽  
Decision Making ◽  
Health Management ◽  
Animal Health ◽  
Disease Impact

scholarly journals Factors Limiting Adoption of Technologies by Farmers in Catabola Municipality, Angola

2016 ◽  
Vol 47 (2) ◽  
pp. 97-104
Author(s):  
K. Rušarová ◽  
J. Mazancová ◽  
B. Havrland
Keyword(s):  
Technology Use ◽  
High Rate ◽  
Mechanical Power ◽  
Primary Data ◽  
Small Scale ◽  
Small Farmers ◽  
Factors Influencing ◽  
Parents And Children ◽  
Small Scale Farmers ◽  
Tool Technology

Abstract The objective of the paper is to define the factors influencing the adoption of animal traction and/or mechanical-power technology in the conditions of Catabola municipality where hand-tool technology is being used on 99.7% of the area cultivated by small farmers. Primary data collection was conducted in the period July–August 2011; semi-structured questionnaires and focus group discussions were the most frequent methods used. In total, 151 small-scale farmers from 9 villages participated in the survey. Ten factors influencing the dependent variable – level of technology used by farmers in combination with hiring of labour – were defined. The factors were statistically analyzed by ANOVA. The area of cultivated land and the educational level of both parents and children were found to be the factors limiting the process of animal traction or mechanical power adoption by small farmers in the Catabola municipality. In addition, a relatively high rate of child labour was observed. With the exclusion of childless families, 62.7% of small farmer families regularly use children aged 0–14 years for field operations. The results confirm that the factor of hiring extra labour is irrelevant in determining the development in technology use by small farmers in the Catabola municipality.

scholarly journals Economics and Technical Efficiency of Maize Production Among Small Scale Farmers in Abuja, Nigeria: Stochastic Frontier Model Approach

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
E. S. Ebukiba ◽  
L. Anthony ◽  
S. M. Adamu
Keyword(s):  
Stochastic Frontier ◽  
Farm Size ◽  
Small Scale ◽  
Stochastic Frontier Model ◽  
Gross Margin ◽  
Maize Production ◽  
Factors Influencing ◽  
The Mean ◽  
Small Scale Farmers ◽  
Model Approach

This study evaluated Economics and Technical Efficiency of Maize Production Among Small Scale Farmers in Abuja, Nigeria; Stochastic Frontier Model Approach; Multi-stage sampling technique was adopted and used. Primary data were collected through the use of well-structured questionnaire from one hundred and fifty (150) sampled respondents in the study area. Data were analyzed to achieve the specified objectives using the following tools of analysis, Descriptive Statistics, Stochastic Frontier, Gross Margin Analysis, Financial Analysis, Five Point Likert Scale, and Principal Components Analysis. The results show that majority 40.47% of the sampled respondents were among the age range of 41-50 years of age and 25.33% were within the age bracket of 31-40 years of age. The mean age of the sampled farmers is 44 years. Which indicated that Young and energetic farmers are able to withstand stress and adopt new innovations. Most 88.67% of the farmers were male. Majority 72.67% were married. The mean household size of the sampled respondents is 6 members per family. Majority (67%) of the small-scale maize farmers had 1-2 ha of land and the average farm size cultivated by the farmers was 2.576 ha. The factors influencing total output of maize were seed input (P<0.01), Farm Size (P<0.05), quantity of fertilizer (P<0.05), and labour input (P<0.01) were statistically significant variables. The results of the inefficiency components show that the factors influencing technical inefficiency includes: age (P<0.01), education (P<0.01), access to credit (P<0.05), farming experience, and household size (P<0.05) and were statistically significant. The total revenue realized by the sampled small-scale maize farmers was N238,317 on average. While the total variable costs on average basis was N109,702.93. The gross margin realized was N128667.07. The gross margin ratio was 0.54 while operating ratio calculated was 0.857 and the rate of return on investment (RORI) was 1.17. The retained component from the constraint’s analysis include Lack of Improve Seed, Lack of Transportation, Poor Storage Facilities, Inadequate Capital, and Cattle Herdsmen. The retained components explained 60% of the variation of the component included in the model. The study therefore, recommends that affordable loans and adequate capital should be made available to the small-scale maize farmers, farmers should be properly trained and educated by the non-governmental organizations and extension agents on chemical application, fertilizer use and pests and diseases control measures especially on integrated pest management (IPM). Inputs like improve seeds, fertilizer, and chemicals should be made available to farmers at subsidized rates and at appropriate time coinciding with production periods for proper usage. Provisions should be made for transportation and storage facilities for farmers, the issue of conflict between farmers and herdsmen should be brought to book and resolved amicably for peaceful coexistence.

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