Forecasting Impacts to the Forest Sector: An Analysis of Key U.S. States and Industries

Adam Daigneault and Jonathan Gendron

Papers from arXiv.org

Abstract: Several key states in various regions have experienced recent sawtimber as well as pulp and paper mill closures, which have resulted in harmful effects to rural, natural-resource dependent communities. This raises an important research question, how will key macroeconomic and related variables for the U.S. forest sector change in the future for highly forest-dependent states? To address this, we employ a vector error correction (VEC) model to forecast economic trends in three major industries - forestry and logging, wood manufacturing, and paper manufacturing - across six of the most forest-dependent states in the U.S.: Alabama, Arkansas, Maine, Mississippi, Oregon, and Wisconsin. The forecasting results imply that the forestry and logging industry will largely experience decreases in employment and the number of firms. Wood manufacturing has similar findings, but employment is forecasted to increase in general. Paper manufacturing is forecasted to decrease employment, output, and the number of firms, while wages will remain constant. The analysis highlights how timber-based manufacturing communities may be more resilient than other forestry-based industries in the face of economic disruptions. This type of regional forecasting provides valuable insights for regional policy makers and industry stakeholders, helping them anticipate economic shifts and implement strategies to support affected communities. In addition, the methodology applied in this study can be extended to other non-forestry industries that serve as economic pillars for specific regions such as mining, agriculture, and energy production, offering a framework for assessing economic resilience in resource-dependent communities.

Date: 2025-03
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