ORCID Profile
0000-0002-7789-0916
Current Organisation
University of Queensland
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Urban and Regional Studies (excl. Planning) | Economic Geography | Human Geography | Economic geography | Human geography |
Expanding Knowledge through Studies of Human Society | Regional Planning | Technological and Organisational Innovation
Publisher: Informa UK Limited
Date: 22-09-2022
Publisher: Informa UK Limited
Date: 04-06-2020
Publisher: Springer Science and Business Media LLC
Date: 20-05-2021
DOI: 10.1186/S12992-021-00707-2
Abstract: COVID-19 is an emergent infectious disease that has spread geographically to become a global pandemic. While much research focuses on the epidemiological and virological aspects of COVID-19 transmission, there remains an important gap in knowledge regarding the drivers of geographical diffusion between places, in particular at the global scale. Here, we use quantile regression to model the roles of globalisation, human settlement and population characteristics as socio-spatial determinants of reported COVID-19 diffusion over a six-week period in March and April 2020. Our exploratory analysis is based on reported COVID-19 data published by Johns Hopkins University which, despite its limitations, serves as the best repository of reported COVID-19 cases across nations. The quantile regression model suggests that globalisation, settlement, and population characteristics related to high human mobility and interaction predict reported disease diffusion. Human development level (HDI) and total population predict COVID-19 diffusion in countries with a high number of total reported cases (per million) whereas larger household size, older populations, and globalisation tied to human interaction predict COVID-19 diffusion in countries with a low number of total reported cases (per million). Population density, and population characteristics such as total population, older populations, and household size are strong predictors in early weeks but have a muted impact over time on reported COVID-19 diffusion. In contrast, the impacts of interpersonal and trade globalisation are enhanced over time, indicating that human mobility may best explain sustained disease diffusion. Model results confirm that globalisation, settlement and population characteristics, and variables tied to high human mobility lead to greater reported disease diffusion. These outcomes serve to inform suppression strategies, particularly as they are related to anticipated relocation diffusion from more- to less-developed countries and regions, and hierarchical diffusion from countries with higher population and density. It is likely that many of these processes are replicated at smaller geographical scales both within countries and within regions. Epidemiological strategies must therefore be tailored according to human mobility patterns, as well as countries’ settlement and population characteristics. We suggest that limiting human mobility to the greatest extent practical will best restrain COVID-19 diffusion, which in the absence of widespread vaccination may be one of the best lines of epidemiological defense.
Publisher: Informa UK Limited
Date: 16-09-2021
Publisher: Informa UK Limited
Date: 02-01-2018
Publisher: Research Square Platform LLC
Date: 02-08-2020
DOI: 10.21203/RS.3.RS-49170/V1
Abstract: Background: COVID-19 is an emergent infectious disease that has spread geographically to become a global pandemic. While much research focuses on the epidemiological and virological aspects of the COVID-19 transmission, there remains a gap in knowledge regarding the drivers of geographical diffusion between places. Here, we use quantile regression to model the roles of globalisation, human settlement and population characteristics as socio-spatial determinants of COVID-19 diffusion over a six-week period in March and April 2020. Results: The quantile regression model suggest that globalisation and settlement population characteristics related to high human mobility predict disease diffusion. Human development level (HDI) and total population predict COVID-19 diffusion in countries with a high number of total confirmed cases per million whereas larger household size, older populations, and globalisation tied to human interaction predict COVID-19 diffusion in countries with a low number of total confirmed cases per million. Conclusions: The analysis confirms that globalisation, settlement and population characteristics lead to greater disease diffusion, and primarily variables tied to high human mobility. These outcomes serve to inform policies around ‘flattening the curve’, particularly as they related to anticipated relocation diffusion from more- to less-developed countries and regions, and hierarchical diffusion from countries with higher population and density. Epidemiological strategies must be tailored to suit the range of human mobility patterns, as well as the variety of settlement and population characteristics.
Publisher: Informa UK Limited
Date: 25-08-2023
Publisher: Center for Open Science
Date: 14-12-2020
Abstract: City-regions are conferred economic advantage through their brokerage roles, which close structural holes between other city-regions that would otherwise not be connected within firm networks. Here, we identify city-regions whose brokerage roles are defined by their network positionality as intermediaries using flows based on ownership relations between headquarters and subsidiary locations. Applying Gould and Fernandez’s framework of five potential brokerage types, we find city-regions play one or more brokerage roles characterised by both global and domestic flows. Moving beyond understandings of brokerage as a position, we explain ersity in brokerage as defined by economic processes underlying urban networks.
Publisher: Informa UK Limited
Date: 23-09-2019
Publisher: Wiley
Date: 26-10-2018
Publisher: Wiley
Date: 05-09-2022
Abstract: Australian junior mining firms’ globalisation strategies and roles inside the sector remain understudied in economic geography. Such firms are often overshadowed by larger global mining interests, whose operations drive most foreign direct investment, capital, and operational expenditure tied to resource extraction. Unlike large multinationals and state‐owned enterprises, junior firms are nimble, often untethered from path‐dependent national systems, less encumbered by statutory constraints or corporate structures, and less accountable to shareholders. This study sought to understand globalisation strategies and roles among junior mining firms by reference to a case study of 55 Australian junior firms in Latin America. We used spatial analysis to uncover three patterns of junior firm globalisation strategies and roles: specialised service providers supporting the further development of mature and emerging mining industries regional spearheads opening new destinations and mineral avant‐gardists developing new speculative industries that are critical to clean energy technologies. We conclude both that Australian junior firms play a crucial role in the development of critical resource basins in other nations and that there are significant forms of firm heterogeneity and functional integration at the core of mining globalisation that need to be more comprehensively incorporated in economic geography research.
Publisher: Wiley
Date: 12-09-2021
Abstract: Having begun as a short‐term rental platform in major cities, Airbnb has now extended to many remote and regional areas of Australia. One effect of this spread has been disruption to the conventional rental industry, which stimulates micro‐entrepreneurship in local communities directly through short‐term accommodation and indirectly through related industries. Given Australia’s core–periphery settlement structure, resulting from the country’s historical development, disruption through entrepreneurship has relatively more potential in remote and regional areas. This article uses the Porter diamond model to explain how Airbnb‐led micro‐entrepreneurship interacts with territorially embedded socioeconomic characteristics across regional and remote Australia. Drawing on Airbnb data for Australia between 2014 and 2018 at the scale of regional labour markets, we use a quantile regression model to explain the association between Airbnb‐led micro‐entrepreneurship and four distinct structural dimensions between metropolitan and non‐metropolitan regions. The analysis provides evidence that non‐metropolitan regions have certain stronger competitive advantages for attracting Airbnb‐led micro‐entrepreneurship compared with metropolitan regions, particularly across regional cities and in areas associated with mining, agriculture, and tourism. We conclude that policymakers should weigh concerns relating to peer‐to‐peer accommodation in major metropolitan regions against the purported benefits to peripheral regions.
Publisher: Informa UK Limited
Date: 02-11-2018
Publisher: SAGE Publications
Date: 15-09-2020
Abstract: Transnational gentrification is class-based neighbourhood change driven by relatively affluent international migrants. In contrast to the conventional globalisation narrative in which people are significantly more place-bound than capital flows, transnational gentrification suggests that a globally mobile capitalist class has been in large part responsible for rapid change in many urban neighbourhoods. Observations of transnational gentrification have accelerated over the past decade, with scholarly accounts reporting on cases in disparate locations – particularly those in Latin America and the Mediterranean with ‘charming’ old-world architecture, significant cultural amenity and rents below OECD averages. In this article we attribute transnational gentrification in the 21st century to three primary drivers: new forms of tourism and short-term rentals state-led initiatives to revitalise urban neighbourhoods and catalyse economic activity and lifestyle-driven migration and new forms of consumption. We argue that transnational gentrification is not simply an outcome of a globalised ‘rent gap’ but instead a product of a new global residential imaginary coupled with enhanced possibilities for transnational mobility facilitated by digital platforms and state-led efforts to extract new forms of rent from particular neighbourhoods. We conclude by offering a number of potential avenues for future research, many of which resonate with key themes that emerged decades ago as gentrification first began to transform cities and urban policy.
Publisher: Wiley
Date: 22-10-2019
DOI: 10.1111/GROW.12336
Publisher: Australian Population Studies
Date: 17-12-2022
Abstract: Background The 2021 Census in Australia revealed that just over 1 million dwellings were ‘unoccupied’ on census night. This finding was widely reported and may have given the impression of a large number of vacant dwellings ready for households to move into, potentially offering a solution to homelessness and those struggling to find suitable or affordable accommodation. Aims The aim of the paper is to investigate whether there really were 1 million unoccupied dwellings in Australia in 2021, to shed some conceptual and empirical light on exactly what is meant by an ‘occupied’ and an ‘unoccupied’ dwelling, and also try to understand why dwellings were unoccupied. Data and methods We used a variety of census, population, and dwelling data to estimate the number of private dwellings disaggregated by occupancy on both a de facto basis (whether people were present in dwelling on census night or not) and on a usual residence basis (whether people are usually resident in a dwelling or not). A comparison with the situation at the time of the 2016 Census is made. Results The results show that there were indeed about 1 million dwellings unoccupied on a usual residence basis in Australia in 2021. But they were not the exact same 1 million unoccupied on census night, and not all of these dwellings were available to households to live in. There was a substantial increase in the number of dwellings unoccupied by usual residents between 2016 and 2021 we suggest some possible reasons for this, including Covid-related effects. Conclusions Greater clarity and more detail are needed in census dwelling data. In addition, it would be useful if there were detailed annual official statistics on dwellings and households to better inform housing policy and research.
Publisher: Public Library of Science (PLoS)
Date: 16-08-2021
DOI: 10.1371/JOURNAL.PONE.0255450
Abstract: Globalisation continuously produces novel economic relationships mediated by flows of goods, services, capital, and information between countries. The activity of multinational corporations (MNCs) has become a primary driver of globalisation, shaping these relationships through vast networks of firms and their subsidiaries. Extensive empirical research has suggested that globalisation is not a singular process, and that variation in the intensity of international economic interactions can be captured by ‘multiple globalisations’, however how this differs across industry sectors has remained unclear. This paper analyses how sectoral variation in the ‘structural architecture’ of international economic relations can be understood using a combination of social network analysis (SNA) measures based on firm-subsidiary ownership linkages. Applying an approach that combines network-level measures (Density, Clustering, Degree, Assortativity) in ways yet to be explored in the spatial networks literature, a typology of four idealised international network structures is presented to allow for comparison between sectors. All sectoral networks were found to be disassortative, indicating that international networks based on intraorganisational ties are characterised by a core-periphery structure, with professional services sectors such as Banks and Insurance being the most hierarchically differentiated. Retail sector networks, including Food & Staples Retailing, are the least clustered while the two most clustered networks—Materials and Capital Goods—have also the highest average degree, evidence of their extensive globalisations. Our findings suggest that the multiple globalisations characterising international economic interactions can be better understood through the ‘structural architecture’ of sectoral variation, which result from the advantages conferred by cross-border activity within each.
Publisher: Research Square Platform LLC
Date: 18-06-2020
DOI: 10.21203/RS.3.RS-33615/V1
Abstract: Background: COVID-19 is an emergent infectious disease that has spread geographically to become a global pandemic. While much research focuses on the epidemiological and virological aspects of the COVID-19 transmission, there remains a gap in knowledge regarding the drivers of geographical diffusion between places. Here, we use quantile regression to model the roles of globalisation, human settlement and population characteristics as socio-spatial determinants of COVID-19 diffusion over a six-week period in March and April 2020. Results: The quantile regression model suggest that globalisation and settlement population characteristics related to high human mobility predict disease diffusion. Human development level (HDI) and total population predict COVID-19 diffusion in countries with a high number of total confirmed cases per million whereas larger household size, older populations, and globalisation tied to human interaction predict COVID-19 diffusion in countries with a low number of total confirmed cases per million. Conclusions: The analysis confirms that globalisation, settlement and population characteristics lead to greater disease diffusion, and primarily variables tied to high human mobility. These outcomes serve to inform policies around ‘flattening the curve’, particularly as they related to anticipated relocation diffusion from more- to less-developed countries and regions, and hierarchical diffusion from countries with higher population and density. Epidemiological strategies must be tailored to suit the range of human mobility patterns, as well as the variety of settlement and population characteristics.
Publisher: SAGE Publications
Date: 09-10-2023
Publisher: Informa UK Limited
Date: 31-05-2018
Publisher: Informa UK Limited
Date: 28-05-2019
Publisher: Informa UK Limited
Date: 31-01-2021
Publisher: Wiley
Date: 14-09-2018
Publisher: Informa UK Limited
Date: 10-08-2023
Publisher: Springer Science and Business Media LLC
Date: 13-01-2021
Publisher: Informa UK Limited
Date: 30-07-2021
Publisher: Informa UK Limited
Date: 2018
Publisher: Informa UK Limited
Date: 06-09-2019
Publisher: Australian Population Studies
Date: 17-11-2019
DOI: 10.37970/APS.V3I2.54
Abstract: DemoGraphic
Publisher: Springer Science and Business Media LLC
Date: 05-12-2018
Publisher: Informa UK Limited
Date: 11-06-2021
Publisher: Informa UK Limited
Date: 29-06-2023
Publisher: Public Library of Science (PLoS)
Date: 17-08-2021
DOI: 10.1371/JOURNAL.PONE.0255461
Abstract: One of the prevailing approaches to the study of the global economy is the analysis of global city networks based on the activities of multinational firms. Research in this vein generally conceptualises cities as nodes, and the intra-firm relations between them as ties, forming the building blocks for globally scaled interurban networks. While such an approach has provided a valuable heuristic for understanding how cities are globally connected, and how the global economy can be conceived of as a network of cities, there is a lack of understanding as to how and why cities are connected, and which factors contribute to the existence of ties between cities. Here, we explain how five distinct socio-spatial dimensions contribute to global city network structure through their erse effects on interurban dyads. Based on data from 13,583 multinational firms with 163,821 international subsidiary locations drawn from 208 global securities exchanges, we hypothesise how regional, linguistic, industrial, developmental, and command & control relations may contribute to network structure. We then test these by applying an exponential random graph model (ERGM) to explain how each dimension may contribute to cities’ embeddedness within the overall network. Though all are shown to shape interurban relations to some extent, we find that two cities sharing a common industrial base are more likely to be connected. The ERGM also reveals a strong core-periphery structure in that cities in middle- and low-income countries are more reliant on connectivity than those in high-income countries. Our findings indicate that, despite claims seeking to de-emphasise the top-heavy organisational structure of the global urban economic network, interurban relations are characterised by uneven global development in which socio-spatial embeddedness manifests through a combination of similarity (homophily) and difference (heterophily) as determined by heterogeneous power relationships underlying global systems of production, exchange and consumption.
Publisher: Informa UK Limited
Date: 20-04-2023
Publisher: Informa UK Limited
Date: 02-10-2020
Publisher: Informa UK Limited
Date: 19-10-2020
Publisher: Elsevier BV
Date: 12-2022
Publisher: Center for Open Science
Date: 16-09-2021
Abstract: This paper investigates the role of human capital in explaining ergent employment growth within advanced economies. It adds a spatial dimension to William J. Baumol’s theory of ‘unbalanced growth’ by linking it with the concept of ‘job polarization’. We develop a theory of ‘geographical unbalanced growth’ that explains ergent employment trajectories in terms of skill restructuring. The theory is operationalized via a novel shift–share extension, which is applied to Australian data. We find evidence of ongoing regional ergence and for our proposed mechanism. The findings reinforce the importance of active policies to attract high-skilled jobs to non-metropolitan regions.
Start Date: 06-2020
End Date: 12-2024
Amount: $302,343.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2023
End Date: 12-2026
Amount: $314,642.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2017
End Date: 12-2020
Amount: $222,074.00
Funder: Australian Research Council
View Funded Activity