Jonathan V Beaverstock | University of Bristol (original) (raw)
Current research investigates global talent mobility in FinTech and professional service firms, and the competitiveness of the City of London.
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Papers by Jonathan V Beaverstock
Social Science Research Network, Mar 1, 2009
Wiley eBooks, Dec 12, 2016
Routledge eBooks, Apr 15, 2016
Management International Review, Sep 4, 2018
Highly skilled international labour migration is a pre-eminent process for world city growth, com... more Highly skilled international labour migration is a pre-eminent process for world city growth, competitiveness and network building (Friedmann, 1986; Beaverstock and Boardwell, 2000). The burgeoning economies of world cities have created unprecedented conditions for the demand of highly skilled labour in both private and public sector employment (Sassen, 2006). For individuals, world cities have become the 'global elevators' for career development and wealth creation (Beaverstock, 2002). Over the last three decades, the ...
Social Science Research Network, Oct 15, 2015
Environment and Planning A: Economy and Space, 2021
During the 2010s, collateralized loan obligations rapidly became a trillion-dollar industry, mirr... more During the 2010s, collateralized loan obligations rapidly became a trillion-dollar industry, mirroring the growth profile and peak value of its cousin—collateralized debt obligations—in the 2000s. Yet, despite similarities in product form and growth trajectory, surprisingly little is known about how these markets evolved spatially and relationally. This paper fills that knowledge gap by asking two questions: how did each network adapt to achieve scale at speed across different jurisdictions; and to what extent does the spatial and relational organization of today's collateralized loan obligation structuration network, mirror that of collateralized debt obligations pre-crisis? To answer those questions, we draw on the global financial networks approach, developing our own concept of the networked product to explore the agentic qualities of collateralized debt obligations and collateralized loan obligations—specifically how their technical and regulatory “needs” shape the roles an...
This study has two objectives. Firstly, to compare cluster benefits, costs, and processes in two ... more This study has two objectives. Firstly, to compare cluster benefits, costs, and processes in two different highly productive clusters holding city location constant: financial services and media in London. To what extent are cluster forces similar and different in these two clusters? The second objective is to compare cluster benefits, costs, and processes for MNEs and UNEs within the two clusters. To what extent are cluster forces similar and different for MNEs and UNEs? Via exploratory factor analysis and logit analysis of derived factor scores, we find that similar factors are at work in each cluster: the factors are largely generic and not industry/cluster specific. We also find that some factors are similarly valued by MNEs and UNEs, some are valued more by MNEs, and some are valued more by UNEs. Importantly, factors falling into each category varies by cluster. So, multinationality matters and what matters is industry/cluster specific.
The Regional Review, 1992
Social Science Research Network, Mar 1, 2009
Wiley eBooks, Dec 12, 2016
Routledge eBooks, Apr 15, 2016
Management International Review, Sep 4, 2018
Highly skilled international labour migration is a pre-eminent process for world city growth, com... more Highly skilled international labour migration is a pre-eminent process for world city growth, competitiveness and network building (Friedmann, 1986; Beaverstock and Boardwell, 2000). The burgeoning economies of world cities have created unprecedented conditions for the demand of highly skilled labour in both private and public sector employment (Sassen, 2006). For individuals, world cities have become the 'global elevators' for career development and wealth creation (Beaverstock, 2002). Over the last three decades, the ...
Social Science Research Network, Oct 15, 2015
Environment and Planning A: Economy and Space, 2021
During the 2010s, collateralized loan obligations rapidly became a trillion-dollar industry, mirr... more During the 2010s, collateralized loan obligations rapidly became a trillion-dollar industry, mirroring the growth profile and peak value of its cousin—collateralized debt obligations—in the 2000s. Yet, despite similarities in product form and growth trajectory, surprisingly little is known about how these markets evolved spatially and relationally. This paper fills that knowledge gap by asking two questions: how did each network adapt to achieve scale at speed across different jurisdictions; and to what extent does the spatial and relational organization of today's collateralized loan obligation structuration network, mirror that of collateralized debt obligations pre-crisis? To answer those questions, we draw on the global financial networks approach, developing our own concept of the networked product to explore the agentic qualities of collateralized debt obligations and collateralized loan obligations—specifically how their technical and regulatory “needs” shape the roles an...
This study has two objectives. Firstly, to compare cluster benefits, costs, and processes in two ... more This study has two objectives. Firstly, to compare cluster benefits, costs, and processes in two different highly productive clusters holding city location constant: financial services and media in London. To what extent are cluster forces similar and different in these two clusters? The second objective is to compare cluster benefits, costs, and processes for MNEs and UNEs within the two clusters. To what extent are cluster forces similar and different for MNEs and UNEs? Via exploratory factor analysis and logit analysis of derived factor scores, we find that similar factors are at work in each cluster: the factors are largely generic and not industry/cluster specific. We also find that some factors are similarly valued by MNEs and UNEs, some are valued more by MNEs, and some are valued more by UNEs. Importantly, factors falling into each category varies by cluster. So, multinationality matters and what matters is industry/cluster specific.
The Regional Review, 1992