224,411 research outputs found

    Information Technology Investment, Economic Growth, and Employment

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    Shocking Technology: What Happens When Firms Make Large IT Investments?

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    Many economists see information technology (IT) as central to understanding trends in productivity, labor’s share of output, and employment, especially as new “artificial intelligence” (AI) technologies emerge. Yet it has been difficult to measure its effects. This paper takes a first look at the economic impacts of large custom software investment by firms—“IT shocks.” Using a novel difference-in-differences methodology, we estimate the productivity of these shocks and the associated effects on revenues and employment and we explore the implications in terms of labor’s share and other variables, including heterogeneous relationships by industry, AI use, and time. In our preferred models, IT shocks increase firm productivity by about 5%, followed by increases in revenue of 11% and in employment of 7% on average. However, employment growth following IT shocks is small or negative in mature industries; also, it has been slower in recent years, reducing job reallocation and aggregate productivity growth. Also, labor’s share of revenue decreases and operating profits rise following IT shocks

    Innovation, skills and performance in the downturn: an analysis of the UK innovation survey 2011

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    The link between firms’ innovation performance and economic cycles, especially major downturns such as that of 2008-10, is a matter of great policy significance, but is relatively under-researched at least at the level of micro data on business behaviour. It is, for example, often argued that economies need to ‘innovate out of recessions’ since innovation is positively associated with improvements in productivity that then lead to growth and better employment (Nesta, 2009). The issues of how individual firms respond to downturns through their investment in innovation, and how this impacts on innovation outputs and ultimately business performance and growth during and after downturns, has been less studied because relevant data has not been readily available. The UK Innovation Survey (UKIS) 2011 now makes this possible. The UKIS 2011 with reference period 2008 to 2010 covers the downturn in economic activity generated by the global financial crash. The build-up of panels over the life of the UKIS also supports analysis of the longer-term interactions between innovation and the business cycle. This report analyses the last four waves of the surveys. Further, the latest survey includes questions on whether firms employ a specific set of skills, which adds materially to the ability to research the role of skills and human capital in innovation at the micro level
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