A new call for experts is open for Coffee in Tanzania. The study will in particular analyse through the VCA4D methodology the differences between Fair Trade and conventional systems.
The deadline for proposing CVs the 15th September COB at olimpia.orlandoni@agrinatura-eu.eu or sara.jones@agrinatura-eu.eu .
The profiles requested are:
S/he is a senior expert with deep knowledge of and experience on value chain analysis from an economic point of view. S/he will elaborate financial and economic accounts of the VC actors and the VC (and VC sub-systems) as specified in the toolkit.
S/he is able to undertake a full functional analysis with the support of his/her colleagues.
Experience on economic analysis in coffee value chains, and in particular in developing countries, is required.
Knowledge on Tanzania will be appreciated.
Experience in economic analysis on fair trade certifications and schemes is appreciated.
Experience in stakeholder management or policy and practice capacity are a plus.
S/he will provide a report on Functional Analysis and Economic Analysis that will be included in the final report.
A collective training or at least an individual introduction to the software AFA will be made to the Economist prior to the first mission. In the very rare case the training cannot be done before the first mission, it will be done before the second mission.
S/he will help the team leader to formulate an executive summary and conclusions that combine the results of the different analyses in order to answer the framing questions and to finalise the report (rereading, formatting the report…).
2) Social expert
S/he is a senior expert with deep knowledge of and experience on social issues related to value chains in developing countries the project wants to deepen (gender equality, land and water rights, working conditions, living conditions, social capital, food and nutrition security).
S/he has experience at least in one of these domains, better in 2 or 3 of them, and be able to handle and inform the other ones.
Specific experience in social analysis of the agricultural sector in developing countries is an asset.
Experience in social aspects of the coffee value chains is an asset.
Knowledge of Tanzania is compulsory.
Experience in stakeholder management or policy and practice capacity are a plus.
S/he will provide a report on Social Analysis that will be included in the final report, based on a completed Social Profile.
An introduction to the Social Profile as a guiding tool will be made to the Social Expert prior to the first mission.
S/he will help the team leader to formulate an executive summary and conclusions that combine the results of the different analyses in order to answer the framing questions and to finalise the report (rereading, formatting the report…).
3) Environmental expert
S/he is a senior expert with deep knowledge of and experience on the Life Cycle Analysis (LCA).
Experience on LCA value chain analysis in developing countries is appreciated.
Experience in the coffee value chains is required.
Knowledge on Tanzania will be appreciated.
S/he will preferably use the SimaPro software for LCA.
S/he will provide a report on Environmental Analysis that will be included in the final report.
S/he will help the team leader to formulate an executive summary and conclusions that combine the results of the different analyses in order to answer the framing questions and to finalise the report (rereading, formatting the report…).
4) Coffee Value Chain National Expert
S/he is a specialist of the coffee value chains in Tanzania.
Relevant knowledge of the national institutions (technical, economic and political ones) and stakeholders involved in the coffee value chain is required.
At the beginning of the study, s/he will provide overall information on the value chain, identifying key players and existing and relevant information and data for the analyses. The national expert will help to select the most relevant data from available sources, to clarify inconsistencies and to improve coherence between analyses.
S/he will facilitate and complete the data collection, in agreement to guidelines of the Team Leader.
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