This paper describes the sources and methods used to produce the indicators in the OECD Trade in Employment database. These indicators were developed, as a complement to Trade in Value Added (TiVA) indicators, to provide broad insights into the impact of global value chains on labour markets.
This paper presents new descriptive evidence on value added generation and sourcing patterns of intermediate inputs for ship construction of major shipbuilding economies. The findings reveal that shipbuilding relies heavily on intermediate inputs as around 70-80% of the final output value of ship production is generated through supplier sectors.
Governments in OECD and emerging economies are betting heavily on robotics to safeguard the competitiveness of their manufacturing industries. This paper examines the importance of industrial robotics as a driver of production and trade quality.
Novel neurotechnology offers significant potential but raises a range of unique ethical, legal, and policy questions that business models will have to address. This paper is the result of analytical work on the opportunities and challenges of implementing responsibility frameworks into neurotechnology translation at major brain research initiatives and in the private sector.
Drawing on the 2018 update of the OECD’s Inter-Country Input-Output (ICIO) database, this paper explores the evolution of trade in value added between 2005 and 2015. Changes in international production systems are examined with particular attention given to four key sectors heavily integrated into global value chains: textiles and apparel, chemicals, ICT and electronics, and motor vehicles.
This paper presents a new effort to collect comprehensive metadata for DynEmp and MultiProd, two OECD distributed microdata projects that collect information to analyse employment dynamics and productivity in a harmonised way across countries.
Better understanding of the drivers of aggregate productivity and wage inequality requires data that offer a representative picture of the underlying firm-level heterogeneity while at the same time being able to reproduce patterns observed in aggregate data. This paper compares statistics calculated with OECD MultiProd data against the benchmark of the OECD STructural ANalysis (STAN) Database.
This paper presents a framework for measuring the digital transformation of manufacturing industries, and maps the impact of digital technologies across these several dimensions: firm productivity growth, business dynamism, industry concentration, firm mark-ups and mergers and acquisition activity.
This study proposes a taxonomy of sectors according to the extent to which they have gone digital. The taxonomy accounts for some of the key facets of the digital transformation, and recognises that sectors differ in their development and adoption of the most advanced “digital” technologies, in the human capital needed to embed them in production and in the extent to which digital tools are used to deal with clients and suppliers.
While the size-wage and size-productivity premia are significantly weaker in market services compared to manufacturing, the link between wages and productivity is stronger. The combination of these results suggests that in a service economy the “size-wage premium” becomes more a “productivity-wage premium”.