The United States is the world's largest producer and consumer of forest products, but due to industry aggregation and data suppression for privacy reasons, we have limited knowledge of determinants of wood products manufacturing establishments' locations. We use restricted-access microdata to explore location determinants of several disaggregated employer wood products industry groups and compare results to the aggregated employer and non-employer categories in the wood products subsector. Results suggest important but differing relationships between restricted access variables and establishment counts at the local level. While trucking employment is consistently important, the significance and sign of clustering variables, electricity costs, and production wages vary depending on the specific activity. More specifically, Sawmills and Other Wood Products both exhibit within- and across-industry group externalities of agglomeration. However, not all wood product industry groups interact with one another in the same way. Veneer, Plywood, and Engineered Wood establishments show evidence of only benefiting from locating near downstream manufacturers while Other Mill Work establishments benefit from clustering near other similar establishments. The results should be useful to policy makers as they formulate ways to best position natural resources to contribute sustainable jobs to the local region and prevent future industry bottlenecks.

中文翻译：

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通过限制访问数据改进木制品工厂位置的模型


美国是世界上最大的林产品生产国和消费国，但由于行业聚集和出于隐私原因的数据压制，我们对木制品生产企业所在地的决定因素了解有限。我们使用限制访问的微观数据来探索几个分类雇主木制品行业群体的位置决定因素，并将结果与​​木制品子行业中汇总的雇主和非雇主类别进行比较。结果表明，限制访问变量与地方层面的机构数量之间存在重要但不同的关系。虽然卡车运输就业始终很重要，但聚类变量、电力成本和生产工资的重要性和标志因具体活动而异。更具体地说，锯木厂和其他木制品都表现出行业内和​​跨行业的集聚外部性。然而，并非所有木制品行业团体都以相同的方式彼此互动。有证据表明，单板、胶合板和工程木材企业仅受益于位于下游制造商附近，而其他工厂则受益于聚集在其他类似企业附近。研究结果应该对政策制定者有用，因为他们可以制定最佳配置自然资源的方法，为当地提供可持续的就业机会并防止未来的行业瓶颈。