| Literature DB >> 27990491 |
Thomas L Marsh1, Jonathan Yoder1, Tesfaye Deboch2, Terry F McElwain3, Guy H Palmer3.
Abstract
To fulfill the United Nation's Sustainable Development Goals (SDGs), it is useful to understand whether and how specific agricultural interventions improve human health, educational opportunity, and food security. In sub-Saharan Africa, 75% of the population is engaged in small-scale farming, and 80% of these households keep livestock, which represent a critical asset and provide protection against economic shock. For the 50 million pastoralists, livestock play an even greater role. Livestock productivity for pastoralist households is constrained by multiple factors, including infectious disease. East Coast fever, a tick-borne protozoal disease, is the leading cause of calf mortality in large regions of eastern and Southern Africa. We examined pastoralist decisions to adopt vaccination against East Coast fever and the economic outcomes of adoption. Our estimation strategy provides an integrated model of adoption and impact that includes direct effects of vaccination on livestock health and productivity outcomes, as well as indirect effects on household expenditures, such as child education, food, and health care. On the basis of a cross-sectional study of Kenyan pastoralist households, we found that vaccination provides significant net income benefits from reduction in livestock mortality, increased milk production, and savings by reducing antibiotic and acaricide treatments. Households directed the increased income resulting from East Coast fever vaccination into childhood education and food purchase. These indirect effects of livestock vaccination provide a positive impact on rural, livestock-dependent families, contributing to poverty alleviation at the household level and more broadly to achieving SDGs.Entities:
Keywords: Livestock vaccination; adoption decision; household expenditures
Mesh:
Year: 2016 PMID: 27990491 PMCID: PMC5156515 DOI: 10.1126/sciadv.1601410
Source DB: PubMed Journal: Sci Adv ISSN: 2375-2548 Impact factor: 14.136
Determinants of ECF vaccine adoption.
| Number of cattle† | 0.235*** | 0.375*** | 0.562*** |
| Fraction of exotic breed† | 0.490*** | 0.443*** | 0.665*** |
| Expected milk loss due to ECF† | 0.111*** | 0.044 | 0.043* |
| Vaccine information source: Nongovernmental organization‡ | 0.086* | 0.051 | 0.022 |
| Vaccine information source: Farmers‡ | 0.014 | 0.061 | 0.106** |
| Service provider: Community animal health worker‡ | −0.375*** | 0.028 | −0.019 |
| Service provider: Veterinary supply shop‡ | −0.144*** | −0.091** | −0.147* |
| Intercept term | 0.971 | −0.079 | −0.578 |
| Number of observations | 356 | 356 | 356 |
| 0.44 | 0.42 | 0.50 |
*P = 0.1 (level of significance).
**P = 0.05 (level of significance).
***P = 0.01 (level of significance).
†Elasticities (continuous regressors).
‡Percent change (binary regressors).
Impact of ECF vaccination on milk production and prevention of mortality.
| Fraction of vaccinated adults† | 0.080*** | ||||
| Number of vaccinated cattle†‡ | −0.056* | ||||
| Number of cattle† | 0.239*** | ||||
| Number of vaccinated adults†‡ | 0.010 | ||||
| Number of adult cattle† | 0.089 | ||||
| Number of vaccinated 1- to 2-year-old cattle†‡ | 0.004 | ||||
| Number of 1- to 2-year-old cattle† | 0.148** | ||||
| Number of vaccinated calves†‡ | −0.086*** | ||||
| Number of calves† | 0.228*** | ||||
| Fraction of exotic breed† | 0.187*** | −0.173*** | −0.265** | −0.153* | −0.118* |
| Grazing management§ | 0.092** | 0.093* | 0.068 | 0.198*** | −0.003 |
| Intercept term | −0.190 | 1.089*** | 0.495 | −0.197 | −0.378 |
| Number of observations | 386 | 349 | 351 | 352 | 352 |
| 0.42 | 0.09 | 0.05 | 0.08 | 0.08 |
*P = 0.1 (level of significance).
**P = 0.05 (level of significance).
***P = 0.01 (level of significance).
†Elasticities (continuous regressors).
‡Predicted value.
§Percent change (binary regressors).
Parameter estimates for expenditures on education, human health, and food.
| Number of vaccinated cattle†‡ | 0.088** | 0.042 | 0.056*** |
| Household size† | 0.701*** | 0.351*** | 0.326*** |
| Off-farm income, ≤5000 KSh§ | Base case | ||
| Off-farm income, 5000–10,000 KSh§ | 0.091 | 0.044 | −0.083 |
| Off-farm income, 10,000–20,000 KSh§ | 0.498*** | 0.456*** | 0.182* |
| Off-farm income, 20,000–40,000 KSh§ | 0.549* | 0.573** | 0.108 |
| Off-farm income, 40,000–80,000 KSh§ | 0.707** | 0.350* | 0.204*** |
| Off-farm income, >80,000 KSh§ | 1.005*** | 0.707** | 0.145 |
| Intercept term | 1.916*** | 0.823*** | 0.184** |
| Number of observations | 346 | 350 | 346 |
| 0.26 | 0.15 | 0.27 |
*P = 0.1 (level of significance).
**P = 0.05 (level of significance).
***P = 0.01 (level of significance).
†Elasticities (continuous regressors).
‡Predicted value.
§Coefficients (binary regressors).