Procurement Governance IndexИндекс управљања набавкама

Measuring how governments govern their entire national immunization programme — across all antigens, all procurement channels, all governance dimensions. Not what they decide, but how.Мјеримо како државе управљају цијелим националним програмом имунизације — кроз све антигене, све канале набавке, све димензије управљања. Не шта одлучују, већ како.

12
Countries ScoredОцијењених земаља
11
DimensionsДимензија
7
Data SourcesИзвора података
Auto-sourced from WHO, UNICEF, World Bank, Transparency International — scored via Annex A transformation rulesАутоматски прикупљено из WHO, UNICEF, Свјетске банке, Transparency International — оцијењено по правилима трансформације из Анекса А
Band A: 75–100 (Strong Governance)Група А: 75–100 (Снажно управљање)
Band B: 50–74 (Moderate)Група Б: 50–74 (Умјерено)
Band C: 25–49 (Weak)Група Ц: 25–49 (Слабо)
Band D: 0–24 (Critical)Група Д: 0–24 (Критично)
PGCCF Composite RankingsPGCCF композитно рангирање

PGCCF Methodology

The Penalised Geometric Composite with Critical Floor (PGCCF) is the scoring methodology behind the Procurement Governance Index. It measures immunization procurement governance quality across 11 dimensions using publicly available data, applying mathematical penalties for uneven governance performance.

Why Process, Not Outcomes

Existing systems (WUENIC, IA2030) measure coverage outcomes — how many children were vaccinated. The PGI measures governance quality — how well the decisions were made, how transparently, and how evidence-aligned. A country can achieve high DTP3 coverage through authoritarian mandate while having captured, opaque governance processes. The PGI detects this distinction.

Stage 1: Geometric Mean

Each country receives a score (0–100) on each of the 11 governance dimensions. The composite uses a geometric mean rather than an arithmetic mean, following the precedent set by the UNDP Human Development Index (2010 reform). The geometric mean naturally penalises countries that score very low on any single dimension — a country cannot compensate for zero procurement transparency by excelling at population readiness.

S1 = ( D1 × D2 × D3 × ... × D11 ) ^ (1/11) — the eleventh root of the product of all dimension scores

Stage 2: Penalised Geometric Mean

Following the penalised geometric mean of Mariani and Ciommi (Social Indicators Research, 2022; European Journal of Operational Research, 2024), Stage 2 applies an inequality penalty based on the squared coefficient of variation (CV) across dimension scores. Countries with wildly uneven governance — strong in some areas, collapsed in others — receive a steeper penalty than countries with consistently moderate scores.

S2 = S1 × (1 − CV²) where CV = standard deviation / mean across all eleven dimension scores

Stage 3: Critical Floor

The Critical Floor is a deterministic safeguard applied to the composite: if any single dimension scores below 15 (on the 0–100 scale), the composite is capped at 25, regardless of the penalised geometric mean. This reflects the principle that severe failure in any one governance domain cannot be offset by strength elsewhere. In the twelve-country pilot, no country falls below this threshold, so the Critical Floor is not triggered for any current entry.

11 Governance Dimensions

#DimensionWhat It MeasuresPrimary Data Sources
1Evidence AlignmentCompleteness of antigen schedule (7 WHO-recommended antigens: PCV, Rota, HPV, IPV, Hib, HepB, MCV2) and coverage relative to regional benchmarksWHO WUENIC, JRF, SAGE records
2Procedural TransparencyPublished NITAG minutes, decision rationale, procurement criteriaTI CPI, WHO JRF, WB WGI
3Administrative ResponsivenessGovernment response rates, timeliness, substantive qualityWB WGI (Gov. Effectiveness)
4Specification QualityWhether tender specifications are antigen-agnostic or supplier-tailoredWHO GBT (NRA maturity), market structure
5Advisory IndependenceNITAG composition, COI disclosure, meeting frequencyWHO JRF, NITAG reports
6Procurement IntegrityCompetitive process evidence, single-source justification patternsTI CPI, WB WGI (Corruption Control)
7Population ReadinessCoverage demand signals, hesitancy research, dropout patternsWHO WUENIC (DTP1, dropout)
8Industrial Policy CoherenceAlignment between NIP decisions and domestic manufacturing strategyWHO GBT, Gavi transition data
9Budget Commitment StabilityYear-on-year NIP budget trends, anti-backsliding signalsWHO GHED, WB income class
10International EngagementWHO/Gavi/UNICEF interaction patterns, reporting complianceGavi eligibility, WHO JRF reporting
11Market Competition QualityActual competition in procurement, supplier diversity, barrier to entryMarket structure, WHO GBT, WB WGI (Reg. Quality)

The PGI assesses governance across each country's entire national immunization programme — all antigens, all procurement channels. DTP3 coverage is displayed as the standard WHO benchmark proxy for programme delivery, not as a scope limitation. Dimension 1 (Evidence Alignment) scores antigen schedule completeness across 7 WHO-recommended antigens.

Data Gaps Are Informative

A country that does not publish NITAG minutes receives a low Procedural Transparency score — the absence of data IS the data. This design principle means the Index functions at different levels of data completeness. Countries with deep operational engagement data from MNIPOS subscribers will have more precise scores than countries scored from auto-sourced public data alone.

Band Classification

BandScore RangeInterpretation
Band A75 – 100Strong governance. Transparent processes, evidence-aligned decisions, responsive administration.
Band B50 – 74Moderate governance. Functional systems with identifiable gaps. Improvement pathway visible.
Band C25 – 49Weak governance. Systemic issues across multiple dimensions. Reform required.
Band D0 – 24Critical governance failure. Severe opacity, unresponsiveness, or documented capture.

Sovereign vs. Multilateral Procurement

Countries that procure immunisation products through multilateral pooled mechanisms — the PAHO Revolving Fund, UNICEF Supply Division, or Gavi co-financing — present a methodological challenge: the procurement governance being measured belongs to the multilateral agency, not the sovereign government. The PGI addresses this by scoring only sovereign-executed procurement (domestic tenders, national procurement agency transactions, bilateral supply agreements). A companion metric — the Multilateral Reliance Factor — reports the share of procurement value flowing through multilateral channels, and will be published when country-specific data is verified.

Local Manufacturing Assessment

Countries with state-directed or exclusive domestic manufacturing arrangements require a framework for distinguishing genuine industrial investment from procurement capture disguised as industrial policy. A six-criterion sub-indicator feeds into Dimension 8 (Industrial Policy Coherence), assessing process legitimacy, manufacturing depth, investment proportionality, conditionality, time limitation, and outcome delivery.

Burden of proof defaults to the lowest level unless the company or Ministry publicly demonstrates manufacturing depth and investment. Absence of evidence is evidence of absence. These assessments require verified data beyond auto-sourced indicators and will be published as country-specific assessments are completed.

Limitations & Transparency

The Tier 1 Index uses publicly available proxy indicators. Dimension scores are approximations — not deterministic measurements. Countries with operational MNIPOS engagement receive more precise scoring through direct evidence. No auto-sourced index can detect captured processes that produce clean-looking documentation; that requires the operational evidence layer available through the PGI Platform.

This methodology is documented in the PGI Methodology Note v2.2. The scoring engine source code is embedded in this page and can be inspected.

PGI Methodology Note v2.2PGI методолошка напомена v2.2
Full scoring framework, dimension definitions, data sources, and transformation rules (PDF)Потпуни оквир за оцјењивање, дефиниције димензија, извори података и правила трансформације (PDF)
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