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Dynamic Sustainability of Small and Medium Size Towns

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (26 March 2023) | Viewed by 5602

Special Issue Editors


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Guest Editor
International Consultant, LaSalle, ON, Canada
Interests: regional economics; agrofood economics; economics of innovation and development; small and medium size towns
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following our previous Special Issue on the topic of towns, entitled “Small and Medium-Size Towns Across the World: From the Past into the Future” ( https://www.mdpi.com/journal/sustainability/special_issues/SMTs), we are launching a new call for a second volume: Dynamic Sustainability in Small and Medium-Sized Towns

This very generic title should call researchers' attention for the real "net" value of agglomeration economies generated when in the presence of history, strategic planning, knowledge creation, trust, shared innovation, and advanced specific skills on a global scale. Frequently, such assets contribute to successful cases of small towns that need to be identified and studied. 

In this Special Issue, we hope to provide to the scientific community successful cases of small towns that have occurred due to these intangible values. This proves that SMTs can have the capacity to become leading participants in the development process throughout longer timeframes, deserving to be considered as agents of dynamic sustainability.

From a theoretical point of view, the concept of agglomeration economies shows efficiency gains due to the proximity amongst agents. However, we propose that this unrefuted truth should be revisited and assessed from a long-term perspective. Without a doubt, the concept suggests immediate efficiency gains as policymakers promote strategies that, despite the good intentions for regional development policies, in Europe, for instance, have caused aggravated discrepancies of development and with shrinking effects for SMTs. We believe that some long-term negative externalities such as pollution, loss of biodiversity, climate change, pockets of social stress, and extreme poverty are long term impacts that have not been considered. We wish to advocate for the rise of SMTs and call the attention of their significant role in balanced social progress.

This Special Issue is organized with a first introductory paper calling for the need to observe the dynamic role of SMTs in the long-term development of regions and suggest how historical geography should not be put apart for future development strategies. This first chapter will be the last to be published as it shall confront the other papers and will conclude with the current methodology of the SI as well.

Following this first chapter, an extensive set of nine papers will be selected that exclusively describe the long-time dynamic roles of SMTs. We would rather accept manuscripts from different parts of the world. The first part is comprised of a solid, extensive paper as a theoretical framing discussion about physical distance and relational flows, the limits in the form of agglomeration economies under technological change, and the recent contributions to new cost structures and consequent savings for the organization. Finally, the concluding remarks of this first chapter link non-spatial proximities together and advocate their possible advantages. 

We call those colleagues interested in participating and diffusing their experience and knowledge about SMTs to present their views and case-study papers. We wish to honor the history of small places and show how the past promotes the future in the process of engaged communities.

Prof. Dr. Teresa de Noronha
Prof. Dr. Eric Vaz
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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Research

15 pages, 3944 KiB  
Article
COVID-19 in Toronto: A Spatial Exploratory Analysis
by Eric Vaz
Sustainability 2021, 13(2), 498; https://doi.org/10.3390/su13020498 - 7 Jan 2021
Cited by 26 | Viewed by 4862
Abstract
COVID-19 has had a significant impact on a global scale. Evident signs of spatial-explicit characteristics have been noted. Nevertheless, publicly available data are scarce, impeding a complete picture of the locational impacts of COVID-19. This paper aimed to assess, confirm, and validate several [...] Read more.
COVID-19 has had a significant impact on a global scale. Evident signs of spatial-explicit characteristics have been noted. Nevertheless, publicly available data are scarce, impeding a complete picture of the locational impacts of COVID-19. This paper aimed to assess, confirm, and validate several geographical attributes of the geography of the pandemic. A spatial modeling framework defined whether there was a clear spatial profile to COVID-19 and the key socio-economic characteristics of the distribution in Toronto. A stepwise backward regression model was generated within a geographical information systems framework to establish the key variables influencing the spread of COVID-19 in Toronto. Further to this analysis, spatial autocorrelation was performed at the global and local levels, followed by an error and lag spatial regression to understand which explanatory framework best explained disease spread. The findings support that COVID-19 is strongly spatially explicit and that geography matters in preventing spread. Social injustice, infrastructure, and neighborhood cohesion are evident characteristics of the increasing spread and incidence of COVID-19. Mitigation of incidents can be carried out by intertwining local policies with spatial monitoring strategies at the neighborhood level throughout large cities, ensuring open data and adequacy of information management within the knowledge chain. Full article
(This article belongs to the Special Issue Dynamic Sustainability of Small and Medium Size Towns)
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