The Public Expenditure Tracking approach was developed by a group of researchers in the World Bank and was first applied to a study of a primary education reform in Uganda in 1996. Since then, several dozen PETS have been implemented around the world, both in Africa, Asia and Latin America, and in Eastern Europe.
The amount of leakage is often difficult to estimate, due
to poor bookkeeping.
Leakage rates are extremely high in some cases.
There are fewer problems with leakage in salary expenditures
compared to non-salary expenditures.
The potential for leakage may be greater in the health sector
than in the education sector, due to larger non-salary expenditures
in health.
Local involvement at the frontline service delivery posts
may result in better financial management at this level than at
district and regional offices.
The organisation/mode of transfer of public resources (for instance:
cash vs. in kind) may be important for the amount of leakage. Policy
implications are highly context dependent.
The issue of corruption is often not explicitly addressed.
PETS vary greatly in content, including:
the types of expenditure tracked
the number of levels of public administration studied
the sectors analysed
the degree to which explanation is sought for the observed patterns
in resource flows
PETS vary greatly in quality (e.g., data quality, sample size) Some, but not all, PETS are conducted on large, representative samples.
A minimum requirement in order to qualify as a PETS is that resource flows
are tracked at least at two different levels of public administration.
Not all studies that are announced as PETS satisfy this criterion. Therefore,
this page does not attempt to provide a complete overview of all PETS
conducted, but rather focuses on some of the more successful ones.
There are fewer examples of successful PETS in the health sector
than in the education sector. Attempts at conducting PETS in the health
sector have been seriously hampered by unreliable and inconsistent
budgets and/or little systematic information on financial flows at
facility level (e.g., Mozambique, Honduras, Uganda).