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Analysis and prediction of carbon emissions from food consumption of middle-income groups: evidence from Yangtze River Economic Belt in China.

Authors :
Pang, Qinghua
Xiang, Min
Zhang, Lina
Source :
Environment, Development & Sustainability; Feb2024, Vol. 26 Issue 2, p3481-3505, 25p
Publication Year :
2024

Abstract

Food consumption has resulted in great carbon emissions in recent years. China has been facing the new mitigation challenge of carbon emissions with its emerging middle-income groups, especially in urban areas. This paper analyzes and predicts carbon emissions from food consumption (CEFC) of middle-income groups in the Yangtze River Economic Belt (YREB), which has a higher emerging middle-income group and the highest economic corridor in China. Few studies address CEFC analysis from middle-income groups perspective; thus, this paper calculates urban–rural CEFC of middle-income groups spanning 2010–2018 and predicts them in 2025, 2030 and 2035 using the extended IPAT model. Results are as follows: (1) YREB's urban–rural CEFC of middle-income groups show an upward trend and present a spatial pattern of "low–high–low–high" from the western region to the eastern region. Urban CEFC of middle-income groups are significantly higher than that of rural areas; (2) rural CEFC of middle-income groups in the YREB will first increase in 2025 and then decrease in 2030 and 2035. The growing trend of urban CEFC of middle-income groups will show a significant downward from 2025 to 2035. The growing proportion of urban CEFC of middle-income groups will exhibit an objective growth in 2035. Understanding the changing trend of CEFC of middle-income groups provides governments with differentiated and forward-looking suggestions toward coordinating middle-income groups' expansion and carbon emissions reduction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1387585X
Volume :
26
Issue :
2
Database :
Complementary Index
Journal :
Environment, Development & Sustainability
Publication Type :
Academic Journal
Accession number :
175389618
Full Text :
https://doi.org/10.1007/s10668-022-02843-0