Stakeholder News

Global Accreditation Experience Index (GAEI) – A New Perspective on Accreditation Capability

Ulrich Harmes-Liedtke
Partner of Mesopartner and Creator of the GQII

Ann-Sara Ramkissoon
PhD candidate at the University of Florence

The scope and competencies of accreditation have evolved significantly over the past decades. Accreditation bodies (ABs) demonstrate their competence by participating in international arrangements such as the IAF Multilateral Recognition Arrangement (MLA) and the ILAC Mutual Recognition Arrangement (MRA). Building on this foundation, we introduce the Global Accreditation Experience Index (GAEI), a novel indicator to assess an economy’s accreditation capability.

GAEI: Concept and Calculation

The GAEI reflects the number of accreditation scopes ABs cover in an economy and the duration of their coverage. We have calculated these values from 2000 to the present to show the evolution of accreditation in 120 economies. The index includes scopes covered by the IAF MLA, such as product certification (ISO/IEC 17065), management system certification (ISO/IEC 17021-1), personnel certification (ISO/IEC 17024) and validation and verification (ISO/IEC 17029). For the ILAC MRA, the scopes include Calibration Laboratories (ISO/IEC 17025), Testing Laboratories (ISO/IEC 17025), Medical Devices (ISO 15189), Inspection Bodies (ISO/IEC 17020), Proficiency Testing Providers (ISO/IEC 17043) and Reference Material Producers (ISO 17034).

Weights were applied based on the length of time since each scope was added to the MLA or MRA, with more weight given to longer established scopes. This weighted approach will allow for a time series of accreditation experience and coverage, providing a comprehensive view of accreditation development over two decades.

Findings and Insights

Figure 1 plots the GAEI and accreditation coverage scores. Economies such as Georgia and Latvia score high in accreditation coverage but lower in GAEI, reflecting recent accession to the IAF or ILAC arrangements with coverage in multiple scopes. Conversely, Argentina and Vietnam score high in GAEI but low in coverage, reflecting longstanding accreditation experience in fewer scopes. High-income economies with significant trade volumes dominate the upper right quadrant of the graph, with extensive scope coverage over a long time.

Correlations with economic indicators

The correlations between accreditation metrics and economic indicators shown in Table 1 reveal strong positive relationships between GAEI, accreditation coverage and the Global Quality Infrastructure Index (GQII), particularly its accreditation component. This is not surprising since the GQII considers, among other factors, IAF and ILAC memberships. In addition, there are strong correlations between the GAEI, GDP per capita, imports and exports, highlighting the role of accreditation in promoting trade and economic growth. Moderate correlations with accreditation coverage suggest that while broader coverage benefits trade, its impact depends on sectoral focus and institutional capacity.

Implications for Accreditation Development

The GAEI provides valuable insights into the global development of accreditation. Economies with higher GAEI scores often enjoy greater institutional trust and long-term trade relationships, underscoring the importance of sustained commitment to accreditation. Broader scope coverage, while beneficial, requires alignment with trade priorities and a willingness to use these scopes effectively. Factors such as trade volume, economic size and population also influence the impact of accreditation.

Conclusion

By using signatory data and scope coverage, the GAEI offers a new perspective on measuring accreditation capabilities globally. This index opens new possibilities for understanding international accreditation developments and promoting informed dialogue within the accreditation community. Stakeholder feedback will further refine this approach and support the role of accreditation in improving global trade and quality infrastructure systems.

Table 1: Correlations Results

VariablesCorrelation Coefficient – GAEICorrelation Coefficient – Accreditation Coverage
GQII Score 20230.7509***0.6522***
GQII Score 2023 – Accreditation Component0.7149***0.6825***
GDP per capita0.5330***0.4081***
Total Imports0.5329***0.4539***
Total Exports0.5420***0.4601***

Significance levels: *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001

Figure 1: Mapping Accreditation Experience by Accreditation Coverage

Table 2: The global accreditation experience index and accreditation coverage scores 

ISO Country CodeGAEI 2024Accreditation Coverage
Highest Attainable Score40.284210.0000
ESP39.989510.0000
NLD39.989510.0000
DEU39.989510.0000
GBR39.989510.0000
DNK39.947410.0000
FRA39.947410.0000
NOR39.863210.0000
FIN39.82119.0000
SWE39.82119.0000
CZE39.556110.0000
NZL39.12289.0000
USA38.989510.0000
ZAF38.32288.0000
CHE38.07377.0000
IRL37.89308.0000
ITA37.491210.0000
CHN37.38959.0000
SGP37.38778.0000
TWN36.989510.0000
JPN36.92289.0000
SVK36.89659.0000
BRA35.98078.0000
BEL34.777210.0000
AUS34.63869.0000
IND34.10889.0000
HKG33.98959.0000
MEX33.79129.0000
MYS33.63338.0000
CAN33.27727.0000
POL32.791210.0000
GRC32.65619.0000
THA32.301810.0000
IDN31.45969.0000
PRT30.87728.0000
ARG30.29306.0000
TUR30.108810.0000
AUT29.87547.0000
SVN29.10888.0000
ROU28.14569.0000
VNM27.52636.0000
KOR25.90359.0000
PHL22.13336.0000
LUX21.33516.0000
CRI21.33516.0000
ARE21.10357.0000
CHL20.52286.0000
SRB20.31588.0000
LKA20.05617.0000
EGY19.27548.0000
ISR19.20004.0000
ECU17.78956.0000
PAK17.68955.0000
TUN16.21056.0000
KAZ16.08956.0000
MKD15.27196.0000
RUS14.76498.0000
URY14.44394.0000
BGR14.27548.0000
HUN14.25799.0000
UKR13.58427.0000
COL13.42636.0000
GTM12.73684.0000
SAU12.71238.0000
HRV12.37894.0000
MNG11.84215.0000
CYP11.38255.0000
PER10.38605.0000
MDA10.17026.0000
COD10.14216.0000
AGO10.14216.0000
BWA10.14216.0000
SYC10.14216.0000
LSO10.14216.0000
ZWE10.14216.0000
SWZ10.14216.0000
TZA10.14216.0000
MWI10.14216.0000
MDG10.14216.0000
COM10.14216.0000
NAM10.14216.0000
ZMB10.14216.0000
MOZ10.14216.0000
YEM9.71236.0000
TGO9.61587.0000
KEN9.37025.0000
LTU8.41586.0000
BIH8.33684.0000
KWT7.04566.0000
OMN7.04566.0000
QAT7.04566.0000
BHR7.04566.0000
BGD6.88424.0000
JOR6.67025.0000
ALB5.77194.0000
JAM5.64213.0000
MUS5.63163.0000
BLR5.57895.0000
SLV5.17893.0000
NIC4.96843.0000
KGZ4.58953.0000
DZA4.56843.0000
LVA3.81058.0000
PRY3.53682.0000
ETH3.37193.0000
GEO2.79657.0000
DOM2.61053.0000
CIV2.28255.0000
BEN2.28255.0000
GNB2.28255.0000
NER2.28255.0000
SEN2.28255.0000
BFA2.28255.0000
MLI2.28255.0000
UZB1.67723.0000
EST0.90534.0000
KHM0.25261.0000

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