A Regional Overview and Future Directions
May 2026
We take a broad view of tax policy in EAP and consider three key interrelated determinants of effectiveness:
We draw conclusions by putting together three novel datasets, one for each dimension, and by looking for patterns across them.
To the extent that we can identify patterns in these three areas, we can draw conclusions on how to reorient the WB’s tax strategy in EAP to be more effective.
We collect and categorize all (105) DPOs/PFRs recommendations from FY2015 to FY2025.
We classify them by tax instrument and by country, and plot patterns.
We compare 59 Prior Actions to the broader portfolio of tax advice in other regions.
| Country | Total | Lending | ASA | Policy | Compliance |
|---|---|---|---|---|---|
| Philippines | 11 | 2 | 9 | 7 | 3 |
| Lao PDR | 7 | 1 | 6 | 3 | 3 |
| Cambodia | 7 | 1 | 6 | 4 | 2 |
| Indonesia | 7 | 0 | 7 | 4 | 3 |
| Papua New Guinea | 5 | 1 | 4 | 3 | 1 |
| Viet Nam | 4 | 0 | 4 | 1 | 3 |
| Tonga | 4 | 1 | 3 | 2 | 1 |
| Marshall Islands | 4 | 0 | 4 | 1 | 2 |
| Mongolia | 2 | 0 | 2 | 2 | 0 |
| Malaysia | 2 | 0 | 2 | 1 | 1 |
| Vanuatu | 1 | 0 | 1 | 1 | 0 |
| Total | 54 | 5 | 49 | 29 | 19 |
Reflection: To what extent do recommendations reflect WB advice capacity, country comfort and political economy, compared to the structural conditions and tax needs of EAP economies?
We plot tax-to-GDP ratios over the past 20 years.
We check Prior Action alignment with realised tax revenue at country and instrument level.
Two patterns:
The framework for linking taxation and inequality is mature.
Mostly a measurement issue: pre-tax inequality, growth incidence, top-share dynamics, and effective tax rates by income group.
EAP countries are advanced enough to develop it and underlying data exist, yet either guard them closely or lack interest on the topic.
For the 8 EAP economies with sufficient publicly available data — IDN, PHL, VNM, THA, MYS, LAO, MNG, PNG — we built a stylised pre-tax to post-tax decomposition.
For the remaining 9 economies, even the stylised decomposition is not feasible from public data.
Key challenge: Distributional National Income Accounts (DINA) absent in all 17 EAP countries; major gap for understanding the distributional implications of growth and taxation in the region.
Benefits of growth captured by the top 10% and even more by the top 1% in most EAP economies, with the bottom 50% capturing only a small share of growth.
The role of taxation in redistributing income is not clear, but the stylised simulation suggests that it has plays a limited role.
We cannot answer how much consumption tax, income tax, excise tax, CIT or property each decile pays as a share of its income.
Not only fairness reasons to care about this, but also efficiency and political reasons: Citizens find it hard to consent to a tax system whose distributional consequences they cannot see.
Approach
This gives:
Limitations: List is indicative and not exhaustive, does not capture all relevant dimensions and does not capture the political economy of reform.
Several EAP economies sit well below the donor-pool median on the combined score.
The binding constraint differs by country: informality, agricultural employment, urbanisation, financial infrastructure.
A decade of WB advisory focused on instrument design.
Where structural characteristics bind, instrument design alone hits a ceiling — this may be one reason why the needle on tax/GDP has not moved.
Shift the question
Structural reforms that affect taxation
Important tax instruments not promoted enough in WB’s EAP portfolio
We should develop a systematic approach to:
Generating data, publications, op-eds is a crucial way of building narrative:
Every tax reform has large distributional implications that go unnoticed
We currently don’t know:
Why this matters