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Global paper market forecasts to 2030 under future internet demand scenarios

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  • Johnston, Craig M.T.

Abstract

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.

Suggested Citation

  • Johnston, Craig M.T., 2016. "Global paper market forecasts to 2030 under future internet demand scenarios," Journal of Forest Economics, Elsevier, vol. 25(C), pages 14-28.
  • Handle: RePEc:eee:foreco:v:25:y:2016:i:c:p:14-28
    DOI: 10.1016/j.jfe.2016.07.003
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    References listed on IDEAS

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    1. Kiiski, Sampsa & Pohjola, Matti, 2002. "Cross-country diffusion of the Internet," Information Economics and Policy, Elsevier, vol. 14(2), pages 297-310, June.
    2. Dasgupta, Susmita & Lall, Somik & Wheeler, David, 2001. "Policy reform, economic growth, and the digital divide - an econometric analysis," Policy Research Working Paper Series 2567, The World Bank.
    3. Wallsten, Scott, 2003. "Regulation and internet use in developing countries," Policy Research Working Paper Series 2979, The World Bank.
    4. Maija Hujala, 2011. "The role of information and communication technologies in paper consumption," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 7(2), pages 121-135.
    5. Goldfarb, Avi & Prince, Jeff, 2008. "Internet adoption and usage patterns are different: Implications for the digital divide," Information Economics and Policy, Elsevier, vol. 20(1), pages 2-15, March.
    6. Hurmekoski, Elias & Hetemäki, Lauri, 2013. "Studying the future of the forest sector: Review and implications for long-term outlook studies," Forest Policy and Economics, Elsevier, vol. 34(C), pages 17-29.
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    Cited by:

    1. Mariana Hassegawa & Jo Van Brusselen & Mathias Cramm & Pieter Johannes Verkerk, 2022. "Wood-Based Products in the Circular Bioeconomy: Status and Opportunities towards Environmental Sustainability," Land, MDPI, vol. 11(12), pages 1-16, November.
    2. Lauri, Pekka & Forsell, Nicklas & Di Fulvio, Fulvio & Snäll, Tord & Havlik, Petr, 2021. "Material substitution between coniferous, non-coniferous and recycled biomass – Impacts on forest industry raw material use and regional competitiveness," Forest Policy and Economics, Elsevier, vol. 132(C).
    3. Hurmekoski, Elias & Sjølie, Hanne K., 2018. "Comparing forest sector modelling and qualitative foresight analysis: Cases on wood products industry," Journal of Forest Economics, Elsevier, vol. 31(C), pages 11-16.
    4. Hurmekoski, Elias & Lovrić, Marko & Lovrić, Nataša & Hetemäki, Lauri & Winkel, Georg, 2019. "Frontiers of the forest-based bioeconomy – A European Delphi study," Forest Policy and Economics, Elsevier, vol. 102(C), pages 86-99.
    5. Satu Lipiäinen & Esa Vakkilainen, 2021. "Role of the Finnish forest industry in mitigating global change: energy use and greenhouse gas emissions towards 2035," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(2), pages 1-19, February.
    6. Daigneault, Adam & Johnston, Craig & Korosuo, Anu & Baker, Justin S. & Forsell, Nicklas & Prestemon, Jeffrey P. & Abt, Robert C., 2019. "Developing Detailed Shared Socioeconomic Pathway (SSP) Narratives for the Global Forest Sector," Journal of Forest Economics, now publishers, vol. 34(1-2), pages 7-45, August.
    7. Shen, Xinran & Lovrić, Marko, 2022. "Structural determinants of global trade in graphic paper and pulp products," Forest Policy and Economics, Elsevier, vol. 134(C).
    8. Buongiorno, Joseph & Johnston, Craig, 2018. "Effects of parameter and data uncertainty on long-term projections in a model of the global forest sector," Forest Policy and Economics, Elsevier, vol. 93(C), pages 10-17.

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    More about this item

    Keywords

    Forest sector modeling; Internet; Newsprint; Paper; Pulp; Trade;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • L73 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Forest Products
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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