Documents Axenbeck, Janna 3 results

"Although information and communication technologies (ICT) consume energy themselves, they are considered to have the potential to reduce overall energy intensity within economic sectors. While previous empirical evidence is based on aggregated data, this is the first large-scale empirical study on the relationship between ICT and energy intensity at the firm level. For this purpose, we employ administrative panel data on 28,600 manufacturing firms from German Statistical Offices collected between 2009 and 2017. Our results confirm a statistically significant and robust negative link between software capital as an indicator for the firm-level degree of digitalization and energy intensity, but the effect size is rather small. Hence, we conclude that energy intensity reductions related to the use of digital technologies are lower than expected."

"Due to the omnipresence of digital technologies in the economy, measuring firm digitalisation is of high importance. However, current indicators show several shortcomings, e.g., they lack timeliness and regional granularity. In this study, we show that advances in text mining and comprehensive firm website content can be leveraged to generate real-time and large-scale estimates of firm digitalisation. We use a transfer learning approach to capture the latent definition of digitalisation. For this purpose, we train a random forest regression model on labeled German newspaper articles and apply it on firm's website content. The predictions are used as a continuous indicator for firm digitalisation. Plausibility checks confirm the link to established digitalisation indicators at the firm and sectoral level as well as for firm size classes and regions. Lastly, we illustrate the indicator's potential for giving timely answers to pressing economic issues by analysing the link between digitalisation and firm resilience during the Covid-19 shock."

"The Covid-19 pandemic has sparked hope that firm digitalisation will result in long-lasting reductions in mobility and related carbon emissions via the use of working from home and online services. In this study, we quantify the extent to which firm digitalisation can be associated with changes in mobility during the Covid-19 crisis in Germany, both when strong restrictions were in place and after the restrictions were lifted. To this end, we employ a novel text-mining approach to measure digitalisation based on firm websites. We aggregate our firm digitalisation indicator at the district level and link it to changes in mobility between January 2020 and December 2022. Our results indicate that districts with a higher level of firm digitalisation experienced a stronger reduction in mobility during the first two years of the pandemic. However, mobility almost came back to pre-crisis levels after most restrictions were lifted, suggesting that environmental improvements are not long-lasting."