Recycling, Certification, and International Trade of Paper and Paperboard: Demand in Germany and the United States

Author(s): Korhonen, J. Toppinen, A. Kuuluvainen, J. Prestemon, J.P. Cubbage, F.W.
Publication Year: 2017
Publication Type: Journal Article
Source: Forest Science (63, 5, 449-458)
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Permanent Resource Identifier: Open link
FSC Resource Identifier: Open link
Collections: FSC Research Portal
Abstract

On the basis of data from 2000 to 2010, we investigated the separate effects of the uptake of forest certification and the usage of recycled paper on imports of paper and paperboard into Germany and the United States. Using panel data methods and based on a conventional Armington trade model, we find that the effects of two main forest certification schemes—the Programme for Endorsement of Forest Certification (PEFC) and the Forest Stewardship Council (FSC)— differ between markets. In Germany, the PEFC was negatively related to imports. In the United States, imports were preferred from PEFC-dominated countries. The recycled paper utilization rate interacted negatively with imports, irrespective of import country. We also found that price and income elasticities of demand for both countries were within ranges found by other authors: the long-term relative price elasticity of total import demand ranged from – 0.70 to – 0.78 for Germany and from – 0.78 to – 0.89 for the United States. The elasticity of demand for economic activity was also smaller (between 0.74 and 0.87) for Germany than for the United States (between 0.87 and 0.97).

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Citation
Korhonen, J., Toppinen, A., Kuuluvainen, J., Prestemon, J.P. and Cubbage, F., 2017. Recycling, certification, and international trade of paper and paperboard: Demand in Germany and the United States. Forest Science, 63(5), pp.449-458.
Access Rights: Public, Open access
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Relevance for FSC Standard Developers:
Sustainability dimension(s): Economic
Topics: (not yet curated)
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Subject Keywords: Forests Certification
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Countries: United States of America, Germany
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Evidence Category: FSC effect-related studies
Evidence Type: Modeling study
Evidence Subtype: Two scenario comparison
Data Type: Company data