Dr Kerstin Hötte, The Alan Turing Institute & University of Oxford.

"Demand-pull, technology-push, and the direction of technological change"
Wednesday, 19 April. 10:30 am
Room 305, Main Building.

Abstract

This paper studies the impact of Demand-pull (DP) and Technology-push (TP) on growth, innovation, and the factor bias of technological change in a two-layer network of input–output (market) and patent citation (innovation) links among 307 6-digit US manufacturing industries in 1977–2012. Two types of TP and DP are distinguished: (1) DP and TP are between-layer spillovers when market demand shocks pull innovation, and innovation pushes market growth. (2) Within-layer DP arises if downstream users trigger upstream innovation and growth, while TP effects spill over from up- to downstream industries. The results support between- and within-layer TP: Innovation spillovers from upstream industries drive market growth and innovation. Within the market, upstream supply shocks stimulate growth, but this effect differs across industries. DP is not supported but shows a factor bias favouring labour, while TP comes with a shift towards non-production work. The results are strongest after the 2000s and shed light on the drivers of recent technological change and its factor bias.

Bio

Kerstin is an academic visitor at INET and a postdoctoral researcher in the Finance and Economics Programme at The Alan Turing Institute in London.
She studied economics at the Universities Tübingen and Bonn in Germany and obtained her PhD in a joint degree programme from the universities Paris-1 Sorbonne-Panthéon and Bielefeld. In 2020-2022 she was a postdoctoral researcher at the Oxford Martin School before joining the Turing Institute.
Kerstin's research focuses on technological change and, more specifically, on technology transitions when incumbent technologies are replaced by emerging alternatives. Major applications of her work are climate technologies and substitution patterns in economic and technological networks.
She has published empirical and theoretical work using macroeconomic, agent-based simulations, patent citation and input-output networks, and other applied empirical analyses. An overview of her research can be found in her Google Scholar entry. In her current role at the Turing Institute, Kerstin is exploring a novel data set based on granular financial transaction data of businesses in the UK.

For further information, please get in touch with business-school-research@glasgow.ac.uk. 

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First published: 3 April 2023

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