The Productive Capacities Index: Background, conceptual framework and methods

In response to a resolution by the United Nations Economic and Social Council (ECOSOC), the Productive Capacities Index (PCI) was developed by UNCTAD as a multidimensional statistical tool to measure, monitor, and benchmark productive capacities through a comprehensive framework, encompassing human capital, natural capital, energy, transport, ICT, institutions, private sector, and structural change. This paper outlines the conceptual foundation of the PCI, the methodological approach used for indicator selection and data transformation, and the statistical processes, particularly Principal Component Analysis, used to derive the composite index. Emphasis is placed on how the PCI supports evidence-based policymaking, facilitates cross-country comparisons, and contributes to statistical development agendas aligned with the 2030 Agenda for Sustainable Development. The PCI serves as a valuable complement to traditional indicators such as GDP, offering insights into the underlying capabilities necessary for economic and social development.

Authors

Institutions

Publication Details

Journal
Statistical Journal of the IAOS
Published
2026-02-02
DOI
https://doi.org/10.1177/18747655251410455
Primary Topic
Sustainable Development and Environmental Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Productive Capacities Index: Background, conceptual framework and methods

Rachid Bouhia, Mussie Delelegn Arega
Statistical Journal of the IAOS
Sustainable Development and Environmental Policy
article

The Productive Capacities Index: Background, conceptual framework and methods

Rachid Bouhia, Mussie Delelegn Arega
article en

Abstract

In response to a resolution by the United Nations Economic and Social Council (ECOSOC), the Productive Capacities Index (PCI) was developed by UNCTAD as a multidimensional statistical tool to measure, monitor, and benchmark productive capacities through a comprehensive framework, encompassing human capital, natural capital, energy, transport, ICT, institutions, private sector, and structural change. This paper outlines the conceptual foundation of the PCI, the methodological approach used for indicator selection and data transformation, and the statistical processes, particularly Principal Component Analysis, used to derive the composite index. Emphasis is placed on how the PCI supports evidence-based policymaking, facilitates cross-country comparisons, and contributes to statistical development agendas aligned with the 2030 Agenda for Sustainable Development. The PCI serves as a valuable complement to traditional indicators such as GDP, offering insights into the underlying capabilities necessary for economic and social development.

Statistical Journal of the IAOSVol. 42(1)
World Trade Organization (CH), United Nations Research Institute for Social Development (CH)
Decent work and economic growth
Openalex Percentile: Top 76%
Sustainable Development and Environmental Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Productive Capacities Index: Background, conceptual framework and methods — Rachid Bouhia, Mussie Delelegn Arega · Statistical Journal of the IAOS (2026) | TGRS Research Map | TGRS