Dataset Information

Dynamic disparities in clean energy use across rural-urban, regional, and ethnic boundaries in China.

ABSTRACT: The consequences of relying on solid fuels are disproportionately borne by minorities, the marginalized, and rural communities. However, the social disparities in transitioning from polluting energy to clean energy are not well understood. We track changes in the main energy source used for cooking among Chinese households between 2010 and 2018. We find that the proportion of households who rely on clean energy increased from 53.7% in 2010 to 80.1% in 2018. We detect substantial disparities in clean energy use between rural and urban areas, across regions, and between ethnic minorities and the Han majority. Urban status, regional variations, and household characteristics entirely accounted for the observed ethnic differences in clean energy use. Over time, disparities across rural-urban, regional, and ethnic boundaries declined, and household characteristics became irrelevant to the ethnic differences. Therefore, China's efforts to mitigate the imbalance in socioeconomic development also reduced ethnic inequalities in clean energy use.

SUBMITTER: Chen X

PROVIDER: S-EPMC10692050 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Dynamic disparities in clean energy use across rural-urban, regional, and ethnic boundaries in China.

Chen Xiaodong X Xie Yu Y Wu Qiong Q Sun Yan Y Liu Jianguo J

Ambio 20230908 1

The consequences of relying on solid fuels are disproportionately borne by minorities, the marginalized, and rural communities. However, the social disparities in transitioning from polluting energy to clean energy are not well understood. We track changes in the main energy source used for cooking among Chinese households between 2010 and 2018. We find that the proportion of households who rely on clean energy increased from 53.7% in 2010 to 80.1% in 2018. We detect substantial disparities in c ...[more]

PMID: 37684552

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Project description:Atmospheric particulate matter (PM) is a recognized risk factor for the global burden of disease in human populations. We are presenting here the application of toxicogenomics in the evaluation of the toxic effects of organic content of atmospheric particle matter (PM), from urban and rural environments (city of Barcelona and village of La Pobla, NE Spain), using the developing zebrafish embryo. The main goal is to identify the metabolic pathways involved in the adverse effects observed in zebrafish embryos exposed to PM organic content from urban and rural environments, also allowing the selection of genes of interest that are differentially expressed. The relevance of particle size to the PM toxicity is also addressed. Indeed, the zebrafish embryos were exposed to PM of aerodynamic diameter larger than 7.2 μm and smaller than 0.5 μm (PM10 and PM0.5, respectively). PM0.5 concentrated biological and toxic activities linked to organic substances. Transcriptomic analyses showed strong induction of the AhR signalling pathway (a.k.a. dioxin-like activity) for embryos exposed to both rural and urban extracts, correlating with the concentrations of PAHs. Urban extracts, with strong contribution of traffic emissions, specifically de-regulated oxidative stress-related genes, as well as pancreatic and eye-lens specific genes, two organs known to be affected by air pollution in humans. Exposure to rural extracts, with high contribution of wood burning emissions, affected genes implicated in basic cellular functions, in agreement with their strong embryotoxicity. Extracts from rural and urban samples elicited both common and specific transcriptome responses, suggesting different potentially adverse outcomes depending on PM source and composition. The authors thank the financial support of the Spanish Ministry (project TEA-PARTICLE, grant number CGL2011-29621) and the Portuguese Foundation for Science and Technology for the doctoral grant of Sofia R. Mesquita (SFRH/BD/80710/2011) funded by the Program POPH-QREN through the Portuguese Ministry of Education and Science and the European Social Fund, and support through project PEst-C/MAR/LA0015/2013.

Dataset Information

Dynamic disparities in clean energy use across rural-urban, regional, and ethnic boundaries in China.

Publications

Dynamic disparities in clean energy use across rural-urban, regional, and ethnic boundaries in China.

Similar Datasets

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