The pattern of softwood sawmill closures in the US South: a survival analysis approach.

  title={The pattern of softwood sawmill closures in the US South: a survival analysis approach.},
  author={Daisuke Sasatani and Daowei Zhang},
  journal={Forest Science},
In this study, the Cox proportional hazards model was used to examine factors influencing sawmill plant closures in the US South from 1995 to 2013. Factors considered were plant structure, plant capacity, and the geographic agglomeration of sawmills. The results show that larger plants were found to be less likely to be shut down, whereas sawmill plants owned by multiplant firms were more likely to be closed. Furthermore, intensive competition was found to be a positive influence on closure… 

Figures and Tables from this paper

Sawmill Willingness to Pay Price Premiums for Higher Quality Pine Sawtimber in the Southeastern United States
The southeastern United States is widely regarded as a leading region for intensively managed, short rotation pine forests. One drawback of this intensive approach is the production of more juvenile
Significant factors impacting export decisions of small- and medium-sized softwood sawmill firms in North America
An augmented internationalization process (AIP) model is developed to explain important factors influencing decisions of small- and medium-sized softwood sawmill firms in the United States (US) and
Public Acceptance of Pre-Commercial Thinning and Energy and Soil Amendment Products from Post-Harvest Residues in Western Forests of the United States
Abstract . The goals of the Waste-to-Wisdom project is to produce bioenergy products and biochar from post-harvest forest residues and thus understanding public acceptance of the forest management


Profile 2007: Softwood sawmills in the United States and Canada
More than 1,200 sawmills produce the bulk of U.S. and Canadian softwood lumber. The maps and tables in this report show the location and size of these mills by State and Province. Analysis of timber
Measuring innovativeness in the North American softwood sawmilling industry
The North American forest products industry has traditionally maintained a production orien- tation and a commodity mentality toward operations, with much of the industry following a low-cost
Spatial Analysis of Forests Products Manufacturer Clusters in Louisiana
The forest products (FP) industry is the most important segment of the agricultural sector in the state of Louisiana with regard to farm gate value and added value. According to Michael Porter, the
Forest resources, government policy, and investment location decisions of the forest products industry in the southern United States
In this article, the results of an initial attempt to estimate the effects of state attributes on plant location and investment expenditure were presented for the forest products industry in the
Segmented Labor Markets in Alabama's Pulp and Paper Industry1
Abstract Alabama's forest products industry plays a dominant role in the state's rural economy. Examination of how access to employment opportunities is distributed provides insight into how the
Recession effects on the forests and forest products industries of the South.
The economic recession affected southern forests and related industries substantially, particularly those sectors most closely related to home construction. Between 2005 and 2009, for example, the
The Dynamics of Agglomeration Externalities along the Life Cycle of Industries
Neffke F., Henning M., Boschma R., Lundquist K.-J. and Olander L.-O. The dynamics of agglomeration externalities along the life cycle of industries, Regional Studies. This paper investigates the
Indicators of innovativeness and enterprise competitiveness in the wood products industry in finland
The results of two studies where the indicators characteristic for innovations in wood products industries were analysed and an index for the overall innovativeness was developed, and the competitiveness of the wood products enterprises was studied in relation to the indicators of innovateativeness illustrate that “soft” indicators such as the level of education of personnel were seen as less important for innov ativeness than “hard’ indicators.