20 resultados para Training and pruning


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This report was prepared at the request of the United Nations Economic Commission for Latin America and the Caribbean (ECLAC) with support from the Caribbean Catastrophe Risk Insurance Facility (CCRIF) to assess strategies for linking the ECLAC Damage and Loss Assessment (DaLA) Methology to the Post Disaster Needs Assessment (PDNA). Each metholodolgy was individually outlined and their use in the Caribbean context was explored in detail to set the framework or lens through which their linking would be viewed. Other methologies that are used within the recovery process were identified and outlined. A gap analysis was conducted on moving from the PDNA with a focus on initial rapid reponse to DaLA. DaLA training materials were reviewed to assess where improvements can be made to seamlessly move from one methology to the next. Additionally, both DaLA and PDNA reports were reviewed to identify specific areas of information which could serve as common data links, and note how this linkage could inform the overall disaster assessments in the region. This is in addition to noting any similarities or variance in the application of both methologies. Challenges to linking both methodologies were identified such as countries lacking well defined recovery frameworks and their ability to fund or finance recovery efforts, in addition to recurrent challenges in the Caribbean region such as inadequacy of baseline data, human resource and training, and identifying teams to conduct the data collection. Recommendations made in terms of the strategies to be employed for the successful linking of both the DaLA and PDNA Methodologies included: creating and maintaining a recovery framework and baseline data; creation of a minimum requirements list for the successful implementation of PDNA and DaLA implementation; and increasing political will in addition to identify a champion to push the subject.

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Drawing on data from a survey of returning migrants, this study examines the factors behind the decision to launch a business in Loja, Ecuador. The possible explanations fall under various headings: demographic characteristics, work experience abroad, reasons for returning, current situation, intention to re-emigrate, and activity before, during and after migration. The study also considers different concepts of “entrepreneur”, as own-account worker and as employer. The results are analysed, first, using univariate tests and then estimating probit models. The variables most closely associated with a high probability of starting a business after returning from migration are entrepreneurial experience during the migration, and the fact of having returned voluntarily, as well as having worked in the host country in agriculture or the hospitality sector. Having university training and having worked in public administration before migrating are negative factors. Other influential variables are age and the wage or salary received abroad, but these are more nuanced.