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Materials footprint of household consumption in China

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  • Jingru Liu
  • Haotong Wu
  • Xin Tian
  • Heming Wang
  • Yinglei Wu

Abstract

China has been witnessing profound changes in the consumption behaviors of its population during the last several decades. To better gauge the current consumption structure of Chinese households and investigate the burden exerted by consumption on resources, we calculated the household material footprint (HMF) in China within the individual consumption classification framework developed by the United Nations. HMF is the only life‐cycle‐based indicator adopted into the 2030 Agenda for Sustainable Development. Four types of raw materials and 15 representative consumption divisions were analyzed in this research. The total HMF in China increased by 103% from 1992 to 2017, although the per capita HMF remains lower than the global average. The per capita HMF growth in rural and urban areas differs, with urban citizens consuming 2.8 more metric tons of resources than rural residents as of 2017. The HMF of all materials studied shows a rising trend, especially for metal ores, which underpins the real estate and auto industries. Food‐related consumption is the main contributor to the HMF in China, while consumption of housing and transportation has less proportion yet more growth potential compared with developed countries. This study adds to the literature of studies on the consumption behaviors and domestic demands of China and has further methodologically significant meaning for similar studies in other countries and practical value for policymakers. Overall, this study demonstrates that despite an upsurge in consumption behaviors and gratifying economic records, the incurred resource and environmental burden may fuel risks for sustainable development.

Suggested Citation

  • Jingru Liu & Haotong Wu & Xin Tian & Heming Wang & Yinglei Wu, 2022. "Materials footprint of household consumption in China," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1504-1513, August.
  • Handle: RePEc:bla:inecol:v:26:y:2022:i:4:p:1504-1513
    DOI: 10.1111/jiec.13290
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    1. Christa Liedtke & Katrin Bienge & Klaus Wiesen & Jens Teubler & Kathrin Greiff & Michael Lettenmeier & Holger Rohn, 2014. "Resource Use in the Production and Consumption System—The MIPS Approach," Resources, MDPI, vol. 3(3), pages 1-31, August.
    2. John E. Fernández, 2007. "Resource Consumption of New Urban Construction in China," Journal of Industrial Ecology, Yale University, vol. 11(2), pages 99-115, April.
    3. Tiejun Dai & Wanjun Wang, 2018. "The Characteristics and Trends of Socioeconomic Metabolism in China," Journal of Industrial Ecology, Yale University, vol. 22(5), pages 1228-1240, October.
    4. Diana Ivanova & Konstantin Stadler & Kjartan Steen-Olsen & Richard Wood & Gibran Vita & Arnold Tukker & Edgar G. Hertwich, 2016. "Environmental Impact Assessment of Household Consumption," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 526-536, June.
    5. Wiedmann, Thomas & Minx, Jan & Barrett, John & Wackernagel, Mathis, 2006. "Allocating ecological footprints to final consumption categories with input-output analysis," Ecological Economics, Elsevier, vol. 56(1), pages 28-48, January.
    6. Michael Lettenmeier & Christa Liedtke & Holger Rohn, 2014. "Eight Tons of Material Footprint—Suggestion for a Resource Cap for Household Consumption in Finland," Resources, MDPI, vol. 3(3), pages 1-28, July.
    7. Kjartan Steen-Olsen & Richard Wood & Edgar G. Hertwich, 2016. "The Carbon Footprint of Norwegian Household Consumption 1999–2012," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 582-592, June.
    8. Eisenmenger, Nina & Wiedenhofer, Dominik & Schaffartzik, Anke & Giljum, Stefan & Bruckner, Martin & Schandl, Heinz & Wiedmann, Thomas O. & Lenzen, Manfred & Tukker, Arnold & Koning, Arjan, 2016. "Consumption-based material flow indicators — Comparing six ways of calculating the Austrian raw material consumption providing six results," Ecological Economics, Elsevier, vol. 128(C), pages 177-186.
    9. Wang, Heming & Wang, Guoqiang & Qi, Jianchuan & Schandl, Heinz & Li, Yumeng & Feng, Cuiyang & Yang, Xuechun & Wang, Yao & Wang, Xinzhe & Liang, Sai, 2020. "Scarcity-weighted fossil fuel footprint of China at the provincial level," Applied Energy, Elsevier, vol. 258(C).
    10. Gerd Ahlert & Frank Hohmann & Michael Lettenmeier & Christa Liedke & Mark Meyer & Sören Steger & Helena Walter, 2016. "Interactive analysis of individual consumption patterns with regard to raw-material availability: The web tool ‘My Raw Material World’," GWS Discussion Paper Series 16-2, GWS - Institute of Economic Structures Research.
    11. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    12. Zhenci Xu & Sophia N. Chau & Xiuzhi Chen & Jian Zhang & Yingjie Li & Thomas Dietz & Jinyan Wang & Julie A. Winkler & Fan Fan & Baorong Huang & Shuxin Li & Shaohua Wu & Anna Herzberger & Ying Tang & De, 2020. "Assessing progress towards sustainable development over space and time," Nature, Nature, vol. 577(7788), pages 74-78, January.
    13. Stefan Giljum & Martin Bruckner & Aldo Martinez, 2015. "Material Footprint Assessment in a Global Input-Output Framework," Journal of Industrial Ecology, Yale University, vol. 19(5), pages 792-804, October.
    14. Heming Wang & Heinz Schandl & Guoqiang Wang & Lin Ma & Yao Wang, 2019. "Regional material flow accounts for China: Examining China's natural resource use at the provincial and national level," Journal of Industrial Ecology, Yale University, vol. 23(6), pages 1425-1438, December.
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    2. Brizga, Janis & Räty, Tarmo, 2024. "Production, consumption and trade-based forest land and resource footprints in the Nordic and Baltic countries," Forest Policy and Economics, Elsevier, vol. 161(C).

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