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Cited by 309

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Forest Management, Conservation, and Global Timber Markets

Sohngen, Brent, Mendelsohn, Robert, Sedjo, Roger·1999·American Journal of Agricultural Economics

Abstract

This article develops a global timber market model which captures how timber supply reacts to future predicted increases in the demand for timber. Higher future demand is expected to increase prices, increase investments in regeneration, increase establishment of plantations, and expand output. Dynamic market responses imply a greater reliance on plantations in productive regions, allowing large areas of natural forest in low‐valued regions to remain largely intact. Sensitivity analysis suggests that price, harvest, and management are most sensitive to the rate of demand increase, the interest rate, the cost of plantations, and access costs of natural forests. Two forest conservation strategies are examined which predict the system‐wide implications of forest conservation in Europe and North America. The policies indicate that whereas set asides can induce net conservation, harvests increase elsewhere, particularly in natural forests.

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Crossref · 10.2307/1244446

Cites

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Metadata

Authors
Sohngen, B., Mendelsohn, R., & Sedjo, R.
Venue
American Journal of Agricultural Economics
Publisher
Wiley
Published
1999-02
Volume
81
Issue
1
Pages
1-13
ISSN
  • 0002-9092 (ISSN-L)
  • 1467-8276
OpenAlex
W2005408727
Cited by
309
References
1
FWCI
11.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Forest Management, Conservation, and Global Timber Markets. https://app.cochat.ai/papers/10.2307/1244446
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Sohngen, B., Mendelsohn, R., & Sedjo, R. (1999). Forest Management, Conservation, and Global Timber Markets. American Journal of Agricultural Economics. https://doi.org/10.2307/1244446

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.