居民食物消费变化引致的环境足迹测算

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Abstract This paper first compared and analyzed the changing characteristics of urban and rural residents' food consumption from 2014 to 2020, then calculated the contributions of population size, urbanization rate, per capita food consumption volume, and food consumption structure to the environmental footprints. Finally, we designed three scenarios: the current food consumption structure S0, the developing consumption structure S1, and the optimal consumption structure S2, closer to the dietary guideline in 2022 for Chinese residents, to measure the environmental footprints led by residents' food consumption in 2025 and 2030. The results show that the per capita food consumption volume and dietary structure have gradually become the main factors affecting the environmental footprints. The average contribution of per capita food consumption volume and consumption structure of urban (rural) residents to the environmental footprints in 2018~2020 was 51.1% (51.6%) and -17.4% (-13.1%) in China. The environmental footprints caused by the changes in residents' food consumption in S1and S2 would be lower than those in S0, and the differences would be more evident in S2. Compared with the environmental footprints in S0, the land, water, and carbon footprints caused by urban (rural) residents' food consumption in S2 would drop 10.5% (11.5%), 19.6% (17.2%), 12.6% (13.7%) respectively in 2025, those would reduce 11.6% (11.9%), 21.0% (16.8%), 13.6% (14.7%) in 2030 respectively. Based on the analysis of the results, we suggested practical ways to reduce the environmental footprints caused by food consumption.

Key words： land-water-carbon footprints structural decomposition analysis food consumption structure

Received: 10 May 2022

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	DOU Yu-xing
	LIU Xiu-li

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DOU Yu-xing,LIU Xiu-li. Measuring the environmental footprints caused by the changes of residents' food consumption[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(1): 446-455.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I1/446

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