Food-related energy consumption can help reveal poverty in rural Chinese households

Energy consumption for cooking is important for satisfying basic needs, complementing traditional poverty measurements. Here, we propose an energy consumption-based indicator (Energy Engel Coefficient) that measures the proportion of household energy dedicated to food preparation activities relative to the total. Using a nation-wide household survey in China, we find that this indicator exhibits consistent patterns with regional and household characteristics. In addition, it more accurately reflects Engel’s Law than traditional Engel Coefficient, which holds that households with lower incomes spend a larger proportion of their income on basic needs. Our proposed measure also shows stronger performance than traditional coefficient in comparing with non-monetary metrics like subjective experience and asset ownership. Our analysis reveals that the Energy Engel Coefficient identifies 13.9% of households experiencing poverty, with 85.8% of these households not identified by the traditional coefficient. These households are predominantly low-income, small-sized rural ones. Therefore, this indicator complements poverty identification and contributes to improving the distribution of welfare. This study introduces the Energy Engel Coefficient, a food-related energy consumption indicator. Using household survey data from China, it identifies low-income rural households not identified by traditional income-based poverty measures.

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Publication Details

Journal
Nature Communications
Published
2026-07-27
DOI
https://doi.org/10.1038/s41467-026-76026-0
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Food-related energy consumption can help reveal poverty in rural Chinese households

Wei Chu, Jinjun Xue, Xinye Zheng, Qian Sun et al.
Nature Communications
Energy and Environment Impacts
article

Food-related energy consumption can help reveal poverty in rural Chinese households

Wei Chu, Jinjun Xue, Xinye Zheng, Qian Sun, Ruohan Zhong
article en

Abstract

Energy consumption for cooking is important for satisfying basic needs, complementing traditional poverty measurements. Here, we propose an energy consumption-based indicator (Energy Engel Coefficient) that measures the proportion of household energy dedicated to food preparation activities relative to the total. Using a nation-wide household survey in China, we find that this indicator exhibits consistent patterns with regional and household characteristics. In addition, it more accurately reflects Engel’s Law than traditional Engel Coefficient, which holds that households with lower incomes spend a larger proportion of their income on basic needs. Our proposed measure also shows stronger performance than traditional coefficient in comparing with non-monetary metrics like subjective experience and asset ownership. Our analysis reveals that the Energy Engel Coefficient identifies 13.9% of households experiencing poverty, with 85.8% of these households not identified by the traditional coefficient. These households are predominantly low-income, small-sized rural ones. Therefore, this indicator complements poverty identification and contributes to improving the distribution of welfare. This study introduces the Energy Engel Coefficient, a food-related energy consumption indicator. Using household survey data from China, it identifies low-income rural households not identified by traditional income-based poverty measures.

Nature Communications
Kunming University of Science and Technology (CN), Shandong University of Finance and Economics (CN), Nagoya University (JP), Renmin University of China (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Worldwide Universities Network
Openalex Percentile: Top 18%
Energy and Environment Impacts
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Food-related energy consumption can help reveal poverty in rural Chinese households — Wei Chu, Jinjun Xue, et al. · Nature Communications (2026) | TGRS Research Map | TGRS