Eric McConnell, Michael Crosby


We determined whether wood-using mills’ locations spatially depended upon timber product harvest levels and the number of complementary species group mills within and between Mississippi counties. County mill count, either pine or hardwood, was the dependent variable. County timber product harvest levels (thousand green tons) for pine sawtimber, pine pulpwood, and pine poles along with count of hardwood mills were pine model predictors; the hardwood model included hardwood sawtimber and pulpwood harvests and pine-type mill count. Poisson regression models were augmented to Spatial Lag of X models as necessary to account for spatial dependencies.

Pine product harvesting direct effects were absent. Own-county pine pulpwood harvests positively influenced pine mill counts in neighboring counties (t = 3.21, p = 0.0013); pine sawtimber to less so (t = 1.77, p = 0.0766); while pine pole harvests produced the opposite effect (t = -1.96, p = 0.0505). Pine sawtimber and pulpwood competition increased with procurement radii. Greater hardwood pulpwood harvesting (t = 4.44, p < 0.0001) and pine mill count (t = 2.70, p = 0.0085) indicated a significant own-county hardwood mill presence. This is germane to log trucking output, wood utilization efficiency, standing timber prices, and consequently timberland value.


timber harvesting; timber product output; wood utilization

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Auel, J.B. 2021. Harvest of forest products. Publication MTN-35C, Mississippi State University Extension, Mississippi State, MS. 7 p.

Bentley, J.W. and J.A. Cooper. 2015. Southern pulpwood production, 2012. e-Resour. Bull. SRS–206. U.S.D.A. Forest Service, Southern Research Station Asheville, NC. 39 p.

Bullard, S.H., G.H. Weaver, and W.W.S. van Hees. 1981. Stand-age analysis on Mississippi’s private, nonindustrial forests. Bulletin 896, Mississippi Agricultural and Forestry Experiment Station, Mississippi State, MS. 11 p.

Cubbage, F.W., W.D. Greene, and J.P. Lyon. 1989. Tree size and species, stand volume, and tract size: Effects on southern harvesting costs. South J Appl For 13(3):145-152.

Elhorst, J.P. and S.H. Vega. 2017. The SLX Model: extensions and the sensitivity of spatial spillovers to W. Papeles de Economía Española 152:34–50.

Gray, J.A., J.W. Bentley, J.A. Cooper, and D.J. Wall. 2018. Southern pulpwood production, 2013. e-Resour. Bull. SRS–218. U.S.D.A. Forest Service, Southern Research Station, Asheville, NC. 15 p.

Hunter, T.P. 1982. Regional price variation of southern pine sawtimber and pulpwood. Forest Prod J 32(9):23-26.

Kimbrough, D. and S.H. Bullard. 1992. A break-even study on in-woods merchandising opportunities for hardwoods in the Alabama-Mississippi-Tennessee region. Pages 85-94 in Proceedings Southern Forest Economic Workshop, April 29-May 1, Mobile, AL.

Luppold, W. 1996. Structural changes in the central Appalachian hardwood sawmilling industry Wood Fiber Sci 28(3):346-355.

Luppold, W.G. 1997. Regional examination of red oak lumber price trends. North J Appl For 14(4):173-177.

Luppold, W.G. and J.P. Prestemon. 2003. Tests for long-run relationships in hardwood lumber prices. Forest Sci 49(6):918-927.

McConnell, T.E. 2020. Unit costs and trends within Louisiana's logging contract rate. Forest Prod J 70(1):50-59.

McConnell, T.E., B. da Silva, C. Sun, S. Tanger. 2021. Forest to mill price trends and relationships for Mississippi, USA timber products. Forest Prod J 71(2):177-187.

Miles, P.D. and W.B. Smith. 2009. Specific gravity and other properties of wood and bark for 156 tree species found in North America. Res. Note NRS-38. U.S.D.A. Forest Service, Northern Research Station, Newtown Square, PA. 35 p.

Mississippi State University Extension. 2022. Harvest history - Summary of harvest values from 1940 to present. Last accessed May 17, 2022.

Oswalt, Sonja N. 2019. Mississippi’s forests, 2017. Resour. Bull. SRS–226. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 68 p.

Parajuli, R., S. Tanger, R. Abt, and F. Cubbage. 2019. Subregional timber supply projections with chip-n-saw stumpage: Implications for southern stumpage markets. Forest Sci 65(6): 665-669.

SAS Institute. 2020. Version 9.4. Cary, North Carolina.

Sasatani, D. and D. Zhang. 2015. The pattern of softwood sawmill closures in the US South: A survival analysis approach. Forest Sci 61(4):635-643.

Self, A.B. and K. Cunningham 2020. Upland hardwoods: Natural regeneration Publication 3476, Mississippi State University Extension, Mississippi State, MS. 8 p.

Sharma A., S.K. Ojha, L.D. Dimov, J.G. Vogel, and J. Nowak. 2021. Long-term effects of catastrophic wind on southern US coastal forests: Lessons from a major hurricane. PLoS ONE 16(1): e0243362.

Southern Regional Extension Forestry. 2021. Forest products locator. Last accessed November 29, 2021.

USDA Forest Service Forest Inventory and Analysis. 2022. EVALIDator. Last accessed May 18, 2022.

Walter, M.J. 1998. Documentation of productivity and efficiency relationships for a group of southern logging contractors. PhD dissertation. Virginia Tech. 131 pp.

Wiedenbeck, J. and A. Sabula. 2008. Ohio roundwood utilization by the timber industry in 2006. Res. Bull. NRS-32. U.S.D.A., Forest Service, Northern Research Station, Newtown Square, PA. 18 p.

Willis, J.L., J.S. Gordon, S. Tanger, M.A. Blazier, A.B. self, and A. Brodbeck. 2019. Managing mixed stands: Reassessing a forgotten stand type in the southeastern United States. Forests 10:751.


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