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China's rising catering industry: overlooked environmental footprints and scope for future interventions

  • Yue Zhang*
  • , Yixin Guo
  • , Yuyue Zhang
  • , Yi Yang*
  • *Corresponding author for this work
  • Chongqing University
  • Hong Kong University of Science and Technology

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

The environmental impacts of China's growing catering industry remain unclear. Using an Environmentally Extended Input-Output model, we provide a first assessment of its carbon, water, and land footprints. Indirect, supply-chain impacts far exceed direct ones:142.0 Mt CO2e vs 17.1 Mt for carbon, 19.6 vs 1.5 Gt for water, and 10.1 vs 0.2 Mha for land, exposing extensive upstream burdens. Urban residents drive 85.4% of impacts with 3.3 times higher per capita footprints than rural populations, and restaurant meals carry higher carbon and water intensity than home cooking. Without interventions, projected consumption growth would push emissions to 509.4 Mt CO2e by 2050. However, comprehensive optimization combining energy transition, sustainable agriculture, waste reduction, and dietary shifts could achieve remarkable synergies, reducing carbon and water footprints by 58.3% and land use by 43.2% and limiting 2050 emissions to 215.7 Mt CO2e. These results demonstrate that coordinated and comprehensvie policies can decouple prosperity from environmental degradation.
Original languageEnglish
Article number109051
JournalResources, Conservation and Recycling
Volume234
Number of pages11
ISSN0921-3449
DOIs
Publication statusPublished - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Catering industry
  • Carbon-water-land footprint
  • Environmentally extended input-output (EEIO)
  • Scenario analysis

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