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Measuring Competitiveness in the Great Lakes-St. Lawrence Region Using a Digital Twin: A Geospatial Data Science Approach

Author

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  • Nathalie de Marcellis-Warin
  • Martin Trépanier
  • Thierry Warin

Abstract

With the collaboration of Lucien Chaffa, Sarah Elimam, Aïchata Kone, Molivann Panot, Jeremy Schneider, Bilal Siddika and Adam Touré. The study of competitiveness has long been constrained by traditional trade analyses, which focus on inter-industry flows between countries while overlooking the intricate interconnectedness of supply chains. This position paper advocates for the use of digital twin technology to replicate complex economic systems, enabling the modeling of firm-to-firm interactions and uncovering the micro-level impacts of macroeconomic phenomena. We present an integrated analytical framework to analyze the bi-national Great Lakes-St. Lawrence (GLSL) region, spanning Canada and the United States. The creation of a digital twin for this region represents a transformative step in the digitalization of regional economies. This framework provides an integrated analysis of trade, transportation, and environmental systems, enhancing our understanding of regional competitiveness and supporting strategic decision-making. It emphasizes the critical role of multimodal transportation networks, particularly in addressing the challenges posed by climate change, as a key determinant of regional competitiveness. Avec la collaboration Lucien Chaffa, Sarah Elimam, Aïchata Kone, Molivann Panot, Jeremy Schneider, Bilal Siddika et Adam Touré. L’étude de la compétitivité a longtemps été limitée par les analyses traditionnelles des flux commerciaux, centrées sur les flux inter-industries entre pays tout en négligeant l’interconnexion complexe des chaînes d’approvisionnement. Cet article propose l’utilisation d'un jumeau numérique pour répliquer les systèmes économiques complexes, permettant de modéliser les interactions entre entreprises et de révéler les impacts microéconomiques des phénomènes macroéconomiques. Nous présentons un cadre analytique intégré pour analyser la région binationale du Saint-Laurent et des Grands Lacs (SLGL), englobant le Canada et les États-Unis. La création d’un jumeau numérique pour cette région constitue une étape innovante dans la numérisation des économies régionales. Ce cadre offre une analyse intégrée des systèmes de flux commerciaux, de transport et d’environnement, améliorant notre compréhension de la compétitivité régionale et appuyant la prise de décisions stratégiques. Il met en lumière le rôle critique des réseaux de transport multimodaux, notamment face aux défis posés par les changements climatiques, en tant que déterminant clé de la compétitivité régionale.

Suggested Citation

  • Nathalie de Marcellis-Warin & Martin Trépanier & Thierry Warin, 2024. "Measuring Competitiveness in the Great Lakes-St. Lawrence Region Using a Digital Twin: A Geospatial Data Science Approach," CIRANO Papers 2024pr-04, CIRANO.
    • Handle: RePEc:cir:circah:2024pr-04
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    References listed on IDEAS

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