Why data matters for shipbuilding industrial policy

View at publisher
Authors: OECD
Cited by: 0

Abstract

Shipbuilding underpins competitiveness, economic security, and higher energy efficiency. Yet across major shipbuilding economies, industrial policy decisions are frequently taken with incomplete, inconsistent, or poorly aligned evidence. Four structural data challenges stand out: inconsistent statistical definitions that undermine international comparability; limited visibility on where value is created and which factors drive productivity; delayed identification of emerging skills needs; and insufficient, non-standardised metrics to track technological upgrading and decarbonisation progress. Strengthening shipbuilding data is a strategic priority. Building on OECD tools such as the Structural Analysis (STAN) Database, Inter-Country Input-Output (ICIO) Tables, Trade in Value Added (TiVA) and the Ocean Economy Monitor, improved definitions, labour intelligence, and innovation indicators can support improved policy targeting, monitoring, and cross-country benchmarking — enabling more effective and resilient shipbuilding industrial policy.

Fields of Study & Subjects

Marine and Coastal Research Defense Military and Policy Studies Global trade and economics

Publication details

Journal / source
OCDE synthèses/OECD policy briefs/Synthèses de l'OCDE
Publication date
6 March 2026
Language
EN