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For Reflection


  • Canada–U.S. Trade in a Globalized Economy: Elasticities, Asymmetries, and Policy Imperatives

    Event

    Canada–U.S. Trade in a Globalized Economy: Elasticities, Asymmetries, and Policy Imperatives

    This study examines the intricate trade interdependencies between Canada and the United States, highlighting how aggregate export–import figures can mask deeper economic realities. Approximately three-quarters of Canadian merchandise exports head to the United States each year, contributing to a bilateral merchandise trade surplus for Canada in the range of 100 to 170 billion Canadian dollars. Yet, when energy products are excluded, the United States shows a small surplus with Canada, illustrating how both sides benefit from specialized cross-border value chains. Analyses of selected sectors demonstrate that a hypothetical 25 percent tariff on Canadian goods would translate into lost export revenue for Canada, but it would also raise production costs for many U.S. manufacturers dependent on Canadian imports.

    Despite Canada’s smaller economy, the potential for economic harm runs in both directions. Automakers in Michigan and Ohio, for instance, rely on numerous Canadian inputs that cross the border multiple times, and integrated refiners on the Gulf Coast often process crude oil from Alberta. Inelastic supply chains amplify these vulnerabilities: short-run elasticity estimates indicate that energy flows might see only a 2 percent immediate reduction under a 10 percent tariff, yet over a longer horizon, both sides risk further setbacks if either country shifts to alternative markets. On both sides, adjustments to cross-border barriers are neither simple nor immediate because specialized capital investments and elaborate production networks cannot be realigned without significant cost.

    These findings underscore the limitations of viewing trade solely through the lens of net balances. They suggest that resilience policies, dispute-resolution frameworks, and incremental diversification strategies are integral to mitigating risk. In a climate where protectionist rhetoric can swiftly translate into new barriers, maintaining stable, predictable conditions for trade in both Canada and the United States is essential to preserving the mutual gains flowing from decades of close economic integration.

    Read more


    To cite:

    Warin, T. (2025). Canada–U.S. Trade in a Globalized Economy: Elasticities, Asymmetries, and Policy Imperatives(2025PR-01, For reflection, CIRANO.) https://doi.org/10.54932/SLPH3996

    Speaker(s)

    • Aïchata S. Koné

      CIRANO & GVCdtLab

    • Thierry Warin

      HEC Montréal, CIRANO, GVCdtLab & Digital Data Design (D^3) Institute at Harvard Business School

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

    Event

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

    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.

    Read more


    To cite:

    De Marcellis-Warin, N., Trépanier, M., & Warin, T. (2024). Measuring Competitiveness in the Great Lakes-St. Lawrence Region Using a Digital Twin: A Geospatial Data Science Approach (2024PR-04, For reflection, CIRANO.) https://doi.org/10.54932/DKBC6587

    Speaker(s)

    • Aïchata S. Koné

      CIRANO & GVCdtLab

    • Thierry Warin

      HEC Montréal, CIRANO, GVCdtLab & Digital Data Design (D^3) Institute at Harvard Business School


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