Economic Policy

Kromann,, Lene;Sørensen,, Anders

doi: 10.1093/epolic/eiaa002pmid: N/A

Abstract The automation of production processes is an important topic on the policy agenda in high-wage countries, and Denmark is no exception. However, the knowledge of the adoption of automation technologies across firms, of drivers of investments in automation, and on the association between automation and firm performance are limited. This paper uses a new survey to collect data on automation combined with register data to examine these issues. The variation in the adoption of automation technologies is high, the change in adoption over time is slow, and almost half of Danish manufacturing firms relied greatly on manual production processes in 2010. Increasing international competition from China is a driver for investments in automation, i.e., the manufacturing firms that are exposed to intensifying competition from China in their output markets invest more in automation than firms that are not exposed to this type of competition. We conduct external validation of the automation survey by examining the association between the automation measures and firm performance measures constructed from completely independent data sources. We find that the measures of automation are significantly associated with productivity and profitability. This content is only available as a PDF. © CEPR, CESifo, Sciences Po, 2020. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Bessen,, James

doi: 10.1093/epolic/eiaa001pmid: N/A

Abstract Will new technologies cause industries to shed jobs, requiring novel policies to address mass unemployment? Sometimes productivity-enhancing technology increases industry employment instead. In manufacturing, jobs grew along with productivity for a century or more; only later did productivity gains bring declining employment. What changed? The elasticity of demand. Using data over two centuries for US textile, steel, and auto industries, this paper shows that automation initially spurred job growth because demand was highly elastic. But demand later became satiated, leading to job losses. A simple model explains why this pattern might be common, suggesting that today’s technologies may cause some industries to decline and others to grow. Automation might not cause mass unemployment, but it may well require workers to make disruptive transitions to new industries, requiring new skills and occupations. This content is only available as a PDF. © CEPR, CESifo, Sciences Po, 2020. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Frost,, Jon;Gambacorta,, Leonardo;Huang,, Yi;Shin, Hyun, Song;Zbinden,, Pablo

doi: 10.1093/epolic/eiaa003pmid: N/A

Abstract We consider the drivers and implications of the growth of “BigTech” in finance – ie the financial services offerings of technology companies with established presence in the market for digital services. BigTech firms often start with payments. Thereafter, some expand into the provision of credit, insurance and money management products, either directly or in cooperation with financial institution partners. Focusing on credit, we show that BigTech firms lend more in countries with less competitive banking sectors and less stringent bank regulation. Analysing the case of Argentina, we find support for the hypothesis that BigTech lenders, by acquiring a vast amount of non-traditional information, have an advantage in credit assessment relative to a traditional credit bureau. They also serve unbanked borrowers, and may have an advantage in contact enforcement. It is too early to judge the extent of BigTech’s eventual advance into the provision of financial services. However, the early evidence allows us to pose pertinent questions that bear on their impact on financial stability and overall economic welfare. This content is only available as a PDF. © CEPR, CESifo, Sciences Po, 2020. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)