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How do household energy interventions work?

Principal Investigators: 

McGill University, Canada


McGill University, Canada

This study will focus on a coal ban and heat pump subsidy program in the Beijing, China, region. They are building on an existing panel study that is following about 966 people who live in 50 villages around Beijing. Half the villages are subject to the policy, the other half are not.

Funded under

Poster abstract for HEI Annual Conference 2022

How do household energy interventions work?

Sam Harper1, Jill Baumgartner1, Ellison Carter2, Xiaoying Li1, Zhongjie Fan3, Shu Tao4, Yuanxun Zhang5

1McGill University, Montreal, Quebec, Canada; 2Colorado State University, Fort Collins, Colorado, USA; 3Peking Union Medical College Hospital, Beijing, China; 4Peking University, Beijing, China; 5University of Chinese Academy of Sciences, Beijing, China

Background. Improving air quality is a policy priority in China. Starting in 2016, the Beijing municipal government designated coal-restricted areas and simultaneously offered subsidies for the purchase and installation of mostly electric-powered heat pumps to replace coal-heating stoves. This study aims to: a) estimate the contribution of changes in PM2.5, to the overall effect of the policy on health; b) quantify the contribution of changes in the chemical composition of PM2.5 from different sources to the overall effect on health outcomes, and c) quantify the impact of the policy on outdoor air quality and personal air pollution exposures.

Methods. In winter 2017, we enrolled households in 50 Beijing villages not currently in the coal ban (i.e., untreated) into a four-year longitudinal study. By winter 2021, 20 study villages were participating in the coal ban (i.e., treated). Data collection for this project included indoor and outdoor PM2.5 and personal PM exposure, indoor and outdoor household temperature measures, blood pressure, respiratory and sleep measures, anthropometrics, and blood biomarkers of oxidation stress and inflammation. To understand the impact of the policy, the study will use a difference-in-difference approach, comparing environmental and health outcomes before and after the policy in treated villages relative to the same outcomes measured in untreated villages.

Results. We completed three winter data collection campaigns with all study measurements (2018, 2019 and 2021) in 50 villages and a reduced third campaign (due to the coronavirus pandemic) in 2020 limited to air pollution and stove use assessment in 30 villages. A total of 1,234 households were included in the study, 941 of which participated in at least two full campaigns. At baseline assessment, mean participant age was 60 y (SD = 9.2), 60% were female, and most (63%) were agricultural workers. The geometric mean of village-averaged personal exposures to PM2.5 and black carbon ranged from 23 to 387 μg/m3 and from 0.8 to 11 μg/m3, respectively. Indoor temperatures ranged from 0.0 to 28.0˚C, with 79% of homes with temperatures below the World Health Organization recommended indoor temperature (18˚C). Average systolic/diastolic blood pressure were 129.7/82 mmHg, respectively, and 61% of participants had hypertension.

Conclusions. Next steps include laboratory analysis of filter-based samples for mass and chemical composition and of blood samples collected in the first two seasons, preparation of analyses for submission to peer-reviewed journals, and continued development of statistical models for estimating the total effect of the intervention and mediation analysis to provide insights on the mechanisms linking the intervention and health effects.