The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Heterogeneous treatment effects in conditional cash transfer programmes: assessing the impact of Progresa on agricultural households
The success of Mexico's conditional cash transfer programme (Progresa) has sparked a wave of similar programmes across the developing world, and the highly successful social experiment in Progresa has created demand for experimental evaluations among development partners, multilateral agencies and governments as a way to assess development policy. But existing evaluations do not consider the possibility of heterogeneous treatment effects due to either multiple programme participation or the special circumstances of agricultural households when production and consumption decisions are not separable. This article shows that the impact of Progresa on health check-ups is significantly smaller among participants of Procampo, a programme that is linked to agricultural production. This differential impact may be due to Procampo conditionality or the fact that the shadow price of time is different between these households and other Progresa beneficiaries. The authors' conclusion is that conditional cash transfer programmes must consider multiple programme participation and non-separable agricultural households when designing programmes and assessing impacts
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