Econometric Analysis of Framework Agreements in Brazil and Colombia
Procurement of commonly used items is a challenge for government agencies. If the items are repeatedly purchased in one-off fashion, so that the total volume is significant, there may be potential problems like loss of economy of scale, loss of eff...
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Format: | Report |
Language: | English |
Published: |
World Bank, Washington, DC
2021
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Online Access: | http://documents.worldbank.org/curated/en/831841627537733321/Econometric-Analysis-of-Framework-Agreements-in-Brazil-and-Colombia http://hdl.handle.net/10986/36059 |
Summary: | Procurement of commonly used items is a
challenge for government agencies. If the items are
repeatedly purchased in one-off fashion, so that the total
volume is significant, there may be potential problems like
loss of economy of scale, loss of efficiency, lower
competition, and no long-term partnership with suppliers.
Framework agreements (FAs) have emerged as a potential
solution for the issues. Many countries (particularly in
Americas and Europe) have used FAs successfully, though the
use of FAs by countries outside these regions is still very
low. Hence there is tremendous potential for scaling-up the
use of FAs in developing countries. This study uses public
procurement data from Brazil and Colombia, two major users
of FAs. The subsequent chapters will describe the data used
for the analysis, the methodology, and the findings. The
country contexts, designs of FAs, available data and
research questions vary across Brazil and Colombia, and
therefore the empirical findings are not comparable between
these two countries. For each country case, the analysis
provides insights on the benefits and costs of using FAs and
useful lessons that can be informative for other countries
that are considering adopting or strengthening the use of
FAs with similar design. Chapter one gives introduction.
Chapters two and three cover data analytics from Brazil and
Colombia respectively. Additionally, following annexures are
part of this report: annexure-A: a brief introduction to
regression analysis; annexure-B: supporting data and
information - Brazil; and annexure-C: supporting data and
information - Colombia. |
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