S38-S2 The Firm/Location Nexus: Multi-Scalar & Multi-Dimensional Aspects of Economic Development
Tracks
Special Session
| Thursday, August 30, 2018 |
| 4:30 PM - 6:00 PM |
| WGB_G02 |
Details
Convenor(s): Dieter Franz Kogler; Riccardo Crescenzi; Silvia Rocchetta; Changjun Lee
/ Chair: Dieter Franz Kogler
Speaker
Mr David Arnold
Junior Researcher
London School of Economics (LSE)
Global location decisions of multinational firms
Author(s) - Presenters are indicated with (p)
David Arnold (p), Riccardo Crescenzi , Sergio Petralia
Discussant for this paper
Dieter Franz Kogler
Abstract
see extended abstract
Ms Christina Masch
Ph.D. Student
Niederrhein University of Applied Sciences
Soft Location Factors – Did their Relevance for Firms Change in Course of Time?
Author(s) - Presenters are indicated with (p)
Christina Fischer (p), Rüdiger Hamm
Discussant for this paper
David Arnold
Abstract
see extended abstract
Dr. Dieter F. Kogler
Associate Professor
School of Architecture, Planning & Env. Policy
Knowledge Spaces – The Evolution of the Inventor-Firm-Location Nexus
Author(s) - Presenters are indicated with (p)
Dieter Franz Kogler (p)
Discussant for this paper
Christina Fischer
Abstract
The spatial footprint of an entity is usually determined by its headquarter location as well as the location of its branch offices and subsidiaries. To date, the inventive or technical knowledge footprint of entities determined by the location (residency) of its associated inventors has not been considered systematically. Insights into the inventor-firm location nexus will provide the opportunity to explore how patterns of collaborations, citations, re-combination and technological development change when firms move over space. Findings of the proposed investigation will enhance existing and develop new theories concerning the location strategies of firms and provide important insights for regional economic policies that aim to achieve technology upgrading by attracting talent. Multiple location and knowledge attributes of inventors and firms significantly adds complexity to the original knowledge space methodology (Kogler et al., 2013; 2017).
