08.02.2024 • 3/2024
IWH-Insolvenztrend: Zahl der Firmenpleiten weiterhin hoch – Corona-Hilfen für schwache Unternehmen sind ein Grund
Nach dem Rekordwert im Dezember bleibt die Zahl der Insolvenzen von Personen- und Kapitalgesellschaften im Januar auf unverändert hohem Niveau, zeigt die aktuelle Analyse des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH). Erklären lässt sich die heutige Lage auch mit den Staatshilfen während der Corona-Pandemie.
Steffen Müller
Pressemitteilung lesen
Exploring Accounting Research Topic Evolution: An Unsupervised Machine Learning Approach
June Cao, Zhanzhong Gu, Iftekhar Hasan
Journal of International Accounting Research,
Nr. 3,
2023
Abstract
This study explores the evolution of accounting research by utilizing an unsupervised machine learning approach. We aim to identify the latent topics of accounting from the 1980s up to 2018, the dynamics and emerging topics of accounting research, and the economic reasons behind those changes. First, based on 23,220 articles from 46 accounting journals, we identify 55 topics using the latent Dirichlet allocation model. To illustrate the connection between topics, we use HistCite to generate a citation map along a timeline. The citation clusters demonstrate the “tribalism” phenomenon in accounting research. We then implement the dynamic topic model to reveal the dynamics of topics to show changes in accounting research. The emerging research trends are identified from the topic analytics. We further explore the economic reasons and in-depth insights into the topic evolution, indicating the economic development embeddedness nature of accounting research.
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Stellenangebote des IWH Das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) wurde 1992 gegründet. Zu seinen Aufgaben gehören die wirtschaftswissenschaftliche Forschung...
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Stellenangebote des IWH Das Leibniz-Institut für Wirtschaftsforschung Halle (IWH) wurde 1992 gegründet. Zu seinen Aufgaben gehören die wirtschaftswissenschaftliche Forschung...
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The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
Abstract
We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment size than age. We find that establishments that report having robotics have higher capital expenditures, including higher information technology (IT) capital expenditures. Also, establishments are more likely to have robotics if other establishments in the same Core-Based Statistical Area (CBSA) and industry also report having robotics. The distribution of robots is highly skewed across establishments’ locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of robot integrators and higher levels of union membership are positively correlated with being a Robot Hub.
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