Determinants of Keeping Small Ruminants and Non-ruminant Livestock in Malawi: A Simulated Maximum Likelihood Multivariate Probit

Assa, Maganga M.; Maonga, Beston B.; Mapemba, Lawrence

doi:10.1080/03031853.2014.929012

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…As shown in Table 4, the relationship between participating in LIMID and gender is negative, implying that being male decreases the probability of keeping small stock by 38.8%. This finding agrees with Assa et al (2014) who stated that more women participated in small ruminant production as compared to their male counterparts. An increase in the age of the respondent by one year decreases the chances of participating in the program by 0.8%.…”

Section: Factors Influencing the Rural Farmers' Decision To Participasupporting

confidence: 92%

Production and Marketing Constraints of Small Stock Farming: Evidence From Limid and Non-Limid Farmers in Boteti Sub-District, Botswana

Binge

Mshenga

Kgosikoma

2019

jard

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The majority of the rural population in Botswana keep small stock as a source of livelihood. However, small stock farmers face many constraints which impede maximization of their production and returns. Yet there is dearth of information on the major challenges they face. This study was intended to give an overview of major production and marketingconstraints faced by small stock farmers; and to identify factors influencing farmers’ participation in the LIMID program in Boteti sub-district, Botswana. Multistage samplingtechnique was used to collect data from 150 respondents selected randomly. Descriptive statistics, factor analysis and probit regression analytical techniques were used in data analysis. Factors that significantly influenced effective participation of small stock producers in the program are positive perception of the program, distance to a LIMID office, distance to a nearby cattle post, and household income. Production constraints included predators, theft, pasture scarcity, natural disasters, water scarcity and lack of transport. Further, marketing constraints were reported to be low prices, delayed payments from the government, poor roads and lack of marketing information. The study provides a basis for policy formulation to improve the effectiveness of smallholder farmers and develop measures required to help them improve their productivity.

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Section: Factors Influencing the Rural Farmers' Decision To Participasupporting

confidence: 92%

Production and Marketing Constraints of Small Stock Farming: Evidence From Limid and Non-Limid Farmers in Boteti Sub-District, Botswana

Binge

Mshenga

Kgosikoma

2019

jard

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“…In other words, MVP allows interdependencies in the probability of farmers' using more than one practice. Following Assa et al (2014) and Mullahy (2016), the general MVP equation is written as:…”

Section: Analytical Frameworkmentioning

confidence: 99%

Integration of Tsetse Fly and Trypanosomiasis Control Methods From Livestock Farmers’ Perspective: A Multivariate Probit Approach

Onyango¹,

Mukoya-Wangia²,

Kinama³

et al. 2020

JAS

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Integration of tsetse fly and trypanosomiasis control methods is identified as most feasible and effective approach to eradication of African Animal Trypanosomiasis (AAT) and Human African Trypanosomiasis (HAT). However, little focus is directed towards understanding the drivers of integration of the control methods by farmers. We used cross-sectional data collected from 536 livestock keeping households in Lamu County of Kenya to identify factors influencing multiple use of insecticide treated livestock (ITL), insecticide treated targets (ITT), and treatment with trypanocidal drugs (TTD). Multivariate probit model was applied in estimation of covariates of multiple use of the control methods. Descriptive results indicated that nearly 61% of the livestock keeping households used at least one of the tsetse fly and trypanosomiasis control methods, with about 9%, 7%, and 13% of the households using ITL, ITT, and TTD, respectively. The results also indicated that nearly 32% of the households integrated the control methods. Furthermore, multivariate probit results showed that sex of household head, age of farmer, positive perceptions of technology availability and effectiveness, and off-farm income increased the likelihood of integration. In contrast, household size, having agriculture as the main occupation, and cost of the technology significantly reduced the likelihood of multiple use of the control methods. The results suggest heterogeneity in farmers’ decisions to integrate tsetse fly and trypanosomiasis control methods. Therefore, farmer outreach programs should consider key household characteristics, as well as technological attributes which may stimulate adoption of appropriate tsetse fly and trypanosomiasis control technologies.

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Does shifting from subsistence to commercial farming improve household nutrition and poverty? evidence from Malawi, Tanzania and Nigeria

Mgomezulu,

M.N Chitete,

Maonga

et al. 2024

Research in Globalization

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Determinants of Keeping Small Ruminants and Non-ruminant Livestock in Malawi: A Simulated Maximum Likelihood Multivariate Probit

Cited by 4 publications

References 5 publications

Production and Marketing Constraints of Small Stock Farming: Evidence From Limid and Non-Limid Farmers in Boteti Sub-District, Botswana

Production and Marketing Constraints of Small Stock Farming: Evidence From Limid and Non-Limid Farmers in Boteti Sub-District, Botswana

Integration of Tsetse Fly and Trypanosomiasis Control Methods From Livestock Farmers’ Perspective: A Multivariate Probit Approach

Does shifting from subsistence to commercial farming improve household nutrition and poverty? evidence from Malawi, Tanzania and Nigeria

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