The Global Forest Products Model (GFPM) was applied to forecast the effect of increased per capita Internet adoption on the global paper products industry to 2030. Two scenarios were examined: (a) full per capita Internet adoption by 2100, and (b) more rapidly by 2050. Global newsprint consumption is estimated to be 34.2-37.1 million tonnes lower in 2030 than in the US Forest Service 2010 Resources Planning Act report, and the 2010 report from the Food and Agriculture Organization of the United Nations. Similarly, global printing and writing paper consumption is forecasted to be 76.7-87.1 million tonnes lower by 2030. By including controls for per capita Internet use in the demand equations for print based media, this article reflects the recent declines in global paper product consumption. Out-of-sample forecasts over a two-year period indicate global model prediction errors from 0 to 3%, depending on the product and exogenous assumptions. The results highlight the importance of considering market evolution in long-term global forecasting, and a failure to account for future rates of Internet adoption will result in an upward bias on paper product market forecasts.
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1 December 2016
Research Article|
December 01 2016
Global paper market forecasts to 2030 under future internet demand scenarios
Craig M.T. Johnston
Department of Forest and Wildlife Ecology,
University of Wisconsin-Madison
, 1630 Linden Drive, Madison, WI53706, United States
Tel.: +1 608 890 3609. E-mail address: craig.johnston@wisc.edu
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Tel.: +1 608 890 3609. E-mail address: craig.johnston@wisc.edu
Received:
November 17 2015
Accepted:
July 19 2016
Online ISSN: 1618-1530
Print ISSN: 1104-6899
© 2016 Department of Forest Economics, Swedish University of Agricultural Sciences, Umeå
2016
Department of Forest Economics, Swedish University of Agricultural Sciences, Umeå
Licensed re-use rights only
Journal of Forest Economics (2016) 25 (1): 14–28.
Article history
Received:
November 17 2015
Accepted:
July 19 2016
Citation
Johnston CM (2016), "Global paper market forecasts to 2030 under future internet demand scenarios". Journal of Forest Economics, Vol. 25 No. 1 pp. 14–28, doi: https://doi.org/10.1016/j.jfe.2016.07.003
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