Literature DB >> 30290697

Fuel Use Trends for Boiling Water in Rural China (1992-2012) and Environmental Health Implications: A National Cross-Sectional Study.

Wei Du1, Alasdair Cohen2,3, Guofeng Shen1, Muye Ru1, Huizhong Shen1, Shu Tao1,4.   

Abstract

Survey data from a comprehensive national survey of ∼34 000 households were analyzed for the mix status and transition trajectory of energy for boiling water in rural Chinese households from 1992 to 2012. In 1992, ∼6% of households reported using electricity, biogas, or liquefied petroleum gas (LPG) to boil drinking water; in 2012, the proportion was ∼60%. Income per capita appeared most strongly associated with this transition toward electricity and other clean fuels. Median annual incomes for households using biomass fuels, electric kettles, and LPG were RMB 15 000, 28 000, and 30 000, respectively. Overall, the transition was most pronounced in eastern China, a region which experienced relatively higher rates of economic growth over the same 20-year period. Energy type preferences appear to be highly dependent on fuel accessibility such that coal and straw usage was higher in provinces with higher coal and grain production. These trends suggest that electric kettle use would likely increase from ∼29% (2012) to ∼60% by 2030, at which point <5% of rural households would be expected to boil with solid fuels. Recent evidence suggests that this transition could contribute to reductions in water-related gastrointestinal illness as well as reductions in air pollutant emissions in rural China.

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Year:  2018        PMID: 30290697     DOI: 10.1021/acs.est.8b02389

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  Boiled or Bottled: Regional and Seasonal Exposures to Drinking Water Contamination and Household Air Pollution in Rural China.

Authors:  Alasdair Cohen; Ajay Pillarisetti; Qing Luo; Qi Zhang; Hongxing Li; Gemei Zhong; Gang Zhu; John M Colford; Kirk R Smith; Isha Ray; Yong Tao
Journal:  Environ Health Perspect       Date:  2020-12-04       Impact factor: 9.031

Review 2.  Spatial and Temporal Distributions and Sources of Anthropogenic NMVOCs in the Atmosphere of China: A Review.

Authors:  Fanglin Wang; Wei Du; Shaojun Lv; Zhijian Ding; Gehui Wang
Journal:  Adv Atmos Sci       Date:  2021-04-30       Impact factor: 3.158

3.  Using the Machine Learning Method to Study the Environmental Footprints Embodied in Chinese Diet.

Authors:  Yi Liang; Aixi Han; Li Chai; Hong Zhi
Journal:  Int J Environ Res Public Health       Date:  2020-10-08       Impact factor: 3.390

  3 in total

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