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Making a material difference: The impacts of a change to plastic‐free clothing

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  • Dominic White
  • Niven Winchester

Abstract

In 2022, the United Nations (UN) endorsed a resolution to end plastic pollution, with an objective to have a legally binding agreement in place by 2024. The clothing industry uses a significant amount of plastic, which generates plastic pollution through both the mismanagement of clothing waste and microplastics released during the washing of clothes. Consequently, clothing needs to be made without plastic fibres or synthetic chemicals to comply with the UN's resolution and stop contributing to plastic pollution. In this paper, we develop an economy‐wide model and impose a tax on the conventional clothing sector or subsidise plastic‐free clothing in different regions until all clothing produced is free of plastics and synthetic chemicals. We analyse the impact of these policies on GDP, welfare, output and land use across six policy scenarios. If only some regions tax clothing production and not others, the production of conventional clothing increases in untaxed regions (i.e. there is conventional clothing ‘leakage’). As clothing producers import some of their plastic inputs, increased production of conventional clothing in untaxed regions dampens the reduction in plastic production in regions with a clothing tax. Conventional clothing ‘leakage’ does not occur in the subsidy scenarios, and global plastic production decreases by more compared with tax scenarios. Under both a tax and the subsidy, synthetic chemical and plastic‐free clothing production increase global demand for ‘natural’ alternatives such as plant‐based fibres, oil seeds, natural rubber and forestry products. This causes significant land use change in the model at the expense of food‐based agricultural products.

Suggested Citation

  • Dominic White & Niven Winchester, 2025. "Making a material difference: The impacts of a change to plastic‐free clothing," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 69(1), pages 200-231, January.
  • Handle: RePEc:bla:ajarec:v:69:y:2025:i:1:p:200-231
    DOI: 10.1111/1467-8489.12599
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    References listed on IDEAS

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    1. Bruno Lanz & Thomas F Rutherford, 2016. "GTAPinGAMS: Multiregional and Small Open Economy Models," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(2), pages 1-77, December.
    2. Devesh Raval, 2023. "Testing the Production Approach to Markup Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2592-2611.
    3. David Neumark & Steven A. Sharpe, 1992. "Market Structure and the Nature of Price Rigidity: Evidence from the Market for Consumer Deposits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 657-680.
    4. J. R. Hicks, 1943. "The Four Consumer's Surpluses," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 11(1), pages 31-41.
    5. Rutherford, Thomas F, 1999. "Applied General Equilibrium Modeling with MPSGE as a GAMS Subsystem: An Overview of the Modeling Framework and Syntax," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 1-46, October.
    6. Manfred Lenzen & Christian John Reynolds, 2014. "A Supply-Use Approach to Waste Input-Output Analysis," Journal of Industrial Ecology, Yale University, vol. 18(2), pages 212-226, April.
    7. Sam Peltzman, 2000. "Prices Rise Faster than They Fall," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 466-502, June.
    8. Kopczuk, Wojciech, 2003. "A note on optimal taxation in the presence of externalities," Economics Letters, Elsevier, vol. 80(1), pages 81-86, July.
    9. Angel Aguiar & Maksym Chepeliev & Erwin Corong & Dominique van der Mensbrugghe, 2022. "The Global Trade Analysis Project (GTAP) Data Base: Version 11," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 7(2), pages 1-37, December.
    10. Huang, Jikun & Hu, Ruifa & Rozelle, Scott & Qiao, Fangbin & Pray, Carl E., 2002. "Transgenic varieties and productivity of smallholder cotton farmers in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(3), pages 1-21.
    11. Hall, Robert E, 1988. "The Relation between Price and Marginal Cost in U.S. Industry," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 921-947, October.
    12. Severin Borenstein & A. Colin Cameron & Richard Gilbert, 1997. "Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 305-339.
    13. Dominique van der Mensbrugghe, 2018. "The Standard GTAP Model in GAMS, Version 7," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 3(1), pages 1-83, June.
    14. Jeffrey D. Karrenbrock, 1991. "The behavior of retail gasoline prices: symmetric or not?," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 19-29.
    15. J. R. Hicks, 1941. "The Rehabilitation of Consumers' Surplus," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 8(2), pages 108-116.
    16. Erwin Corong & Thomas Hertel & Robert McDougall & Marinos Tsigas & Dominique van der Mensbrugghe, 2017. "The Standard GTAP Model, version 7," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(1), pages 1-119, June.
    17. Liu, Elaine M. & Huang, JiKun, 2013. "Risk preferences and pesticide use by cotton farmers in China," Journal of Development Economics, Elsevier, vol. 103(C), pages 202-215.
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