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Assessing the Contributions of BNDES towards Development: The Impact Thesis of Investment in Projects as an ex-ante Method

November 29 @ 1:00 pm - 2:00 pm

Join for a talk with João Paulo Braga from The New School – Economics Dept (Graduate Student). He will talk about his work Assessing the Contributions of BNDES towards Development: The Impact Thesis of Investment in Projects as an ex-ante Method.

This talk is part of the Brazil Research Seminar Series.

The Impact Thesis of Investment in Projects (TIIP) is a scorecard methodology to assess the project`s ex-ante impact, considering economic, social, environmental and regional variables. It helps the eligibility process of the Brazilian Development Bank (BNDES) and is based on best practices, including OECD/DAC, UN Development Goals and KFW. BNDES applied this methodology in 800 projects.

Development Banks should concern with its financial sustainability while fostering and promoting development. Measuring development outcomes is a complex task, given its multicriteria nature. BNDES developed a qualitative instrument to support the executive decision-making and to enable the recognition, ex-ante, of the expected impact of investment projects. Through TIIP, a complex and multivariate analysis is presented in an executive framework that helps the evaluation process and the accompany of the project’s outcomes by the society.

The TIIP is an ex-ante impact assessment methodology, designed according to the concept of “Impact Thesis” by Saltuk & Idrissi (2012). A “thesis” is a hypothesis, approved in the first step of the loan approval, to be monitored and verified during and after the investment. The TIIP counts on five dimensions of analysis, assessed by criteria based on a scorecard and development indicators. Criteria were developed considering references available in the literature, the operations records and the databases the BNDES analyst should check. Each criterion involves a scale whose levels are set from the less desired alternative (usually a neutral or negative impact) to the most desired alternative (usually a benchmark impact), in a Likert Scale. This methodology allows objectivity and systematization of complex and multidimensional themes for decision-making and reduction of the number of indicators to be monitored. On the other side, there is still a need for need for constant monitoring of the statistical robustness of the method.

The talk will be held on November 29th, 2018 from 1:00-2:00 PM in room 802 at the International Affairs Building (420 West 118th Street).

Food will be served.

Details

Date:
November 29
Time:
1:00 pm - 2:00 pm

Venue

802 International Affairs Building
420W 118th Street
New York, NY 10027 United States
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Phone:
212-854-4643
Website:
ilas.columbia.edu