Moving beyond the traditional focus on U.S.-Canada trade, this study employs the Spatial Durbin Model (SDM) to explore the broader dynamics of softwood lumber imports. A key contribution of this research is the recognition of spatial spillover effects, revealing the influence of third-country exporters on U.S. softwood lumber imports. The positive spatial dependence coefficient suggests that countries exporting softwood lumber to the U.S. stimulate their neighbors to follow suit, emphasizing the importance of accounting for spatial interdependencies in wood products trade analysis. These findings carry significant policy implications. Policymakers must adapt to the evolving global trade landscape, acknowledging the increasing diversity of softwood lumber suppliers. Consideration of tariffs, language barriers, and geographic factors in trade policies is imperative. Furthermore, the potential for establishing regional hubs for softwood lumber sourcing is highlighted, offering opportunities to enhance supply chain resilience and sustainability.

本研究超越了对美国与加拿大贸易的传统关注，采用空间杜宾模型 (SDM) 来探索软木进口的更广泛动态。这项研究的一个关键贡献是认识到空间溢出效应，揭示了第三国出口商对美国软木进口的影响。正的空间依赖性系数表明，向美国出口软木的国家会刺激其邻国效仿，这强调了在木制品贸易分析中考虑空间相互依赖性的重要性。这些发现具有重大的政策意义。政策制定者必须适应不断变化的全球贸易格局，承认软木木材供应商日益多样化。贸易政策中必须考虑关税、语言障碍和地理因素。此外，建立软木采购区域中心的潜力也得到凸显，为增强供应链的弹性和可持续性提供了机会。