Productivity and Innovation

David Byrne, Dan Sichel, 22 August 2017

One explanation given for the apparent recent slowdown in labour productivity growth in advanced economies is poor measurement. This column argues that while the available evidence on mismeasurement does not in fact provide an explanation for the slowdown, innovation is much more rapid than would be inferred from official measures, and on-going gains in the digital economy make the productivity slowdown even more puzzling. At the same time, this continued technical advance could provide the basis for a future pickup in productivity growth.

Jacques Bughin, Eric Hazan, 21 August 2017

Artificial intelligence has been around since the 1950s, and has gone through many cycles of hype and ‘winters’. Based on a survey of senior executives from over 3,000 companies in ten countries, this column describes how artificial intelligence is experiencing a new spring and is here to stay. The authors also argue that it can bring firm-level productivity and profit growth, with employment dynamics that may not be as bad as anticipated by some.

Roberto Ganau, Andrés Rodríguez-Pose, 19 August 2017

Whether organised crime undermines productivity has been studied extensively in broad terms, but not at the firm level. This column uses extensive firm-level data from across Italy to suggest that this is firmly the case, both through direct and indirect channels. The results point to a substantial negative direct effect of organised crime on firms' productivity growth. Moreover, any positive impact derived from industrial clustering and agglomeration economies is thoroughly debilitated by a strong presence of organised criminality.

Philippe Aghion, Antonin Bergeaud, Timo Boppart, Peter Klenow, Huiyu Li, 16 August 2017

Slowing growth of total factor productivity has led some to suggest that the world is running out of ideas for innovation. This column suggests that the way output is measured is vital to assessing this, and quantifies the role of imputation in output measurement bias. By differentiating between truly ‘new’ and incumbent products, it finds missing growth in the US economy. Accounting for this missing growth will allow statistical offices to improve their methodology and more readily recognise the ready availability of new ideas, but also has implications for optimal growth and inflation targeting policies.

Rikard Eriksson, Andrés Rodríguez-Pose, 08 August 2017

While job-related mobility is key to knowledge sharing, it may also undermine on-the-job training through labour poaching, and assessing its overall impact on productivity and growth is not straightforward. This column uses data on nearly 2.7 million new hires in Sweden to analyse the impact of labour mobility on plant performance. The greatest positive impact is seen in the country’s three largest cities, while firms in other large urban and university regions emerge as the biggest losers from job mobility.

Other Recent Articles: