Report NEP-GEO-2025-09-08
This is the archive for NEP-GEO, a report on new working papers in the area of Economic Geography. Andreas Koch issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-GEO
The following items were announced in this report:
- Fulvio Castellacci & Emil Evenhuis & Koen Frenken, 2025. "Geographies of Innovation and Well-being," Papers in Evolutionary Economic Geography (PEEG) 2529, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2025.
- Torben Klarl & Alexander S. Kritikos & Knarik Poghosyan, 2025. "Complementary Funding: How Location Links Crowdfunding and Venture Capital," CEPA Discussion Papers 91, Center for Economic Policy Analysis.
- Zehra Usta & Martin Andersson & Katarzyna Kopczewska & Maria Kubara, 2025. "Identifying Catalyst Technologies in Clusters with Unsupervised Machine Learning. An application on patent clusters in the UK," Papers in Evolutionary Economic Geography (PEEG) 2528, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2025.
- Ron Boschma, 2025. "Towards an Evolutionary Perspective on Institutions in Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 2527, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2025.
- Jessica Birkholz & Susanna Bolz & Björn Jindra & Philip Kerner, 2025. "Regional Capabilities for Green Hydrogen: Insights from Northern and Western Germany," Bremen Papers on Economics & Innovation 2505, University of Bremen, Faculty of Business Studies and Economics.
- Toger, Marina & Türk, Umut & Östh, John & Fischer, Manfred M., 2025. "Modeling Commuter Mobility in Stockholm: A Spatial Panel Approach Using Mobile Phone Data," Working Papers in Regional Science 03, WU Vienna University of Economics and Business.
- Atika Aouri & Philipp Otto, 2025. "A Heterogeneous Spatiotemporal GARCH Model: A Predictive Framework for Volatility in Financial Networks," Papers 2508.20101, arXiv.org.