Multi-year Evaluation of a Clean Heating Policy on Residents’ Air Pollution Exposures in Beijing, China

China's Clean Heating Policy (CHP), aimed at shifting households from coal to electricity for space heating, represents a major residential energy transition initiative. We evaluated its multi-year impacts on outdoor, indoor, and personal exposures to PM<sub>2.5</sub> and black carbon (BC) across 50 villages and 1,236 households in rural Beijing. Using a difference-in-differences (DiD) design, we observed a substantial (31 μg/m<sup>3</sup>) reduction in winter (3 month) indoor PM<sub>2.5</sub> (95% CI: -53, -9), but an increase in 24-h indoor BC by 2.6 (0.4, 4.7) μg/m<sup>3</sup>. CHP-driven reductions in personal exposures were limited, emphasizing the limitations of using single 24-h measurements to estimate "usual" exposure. Outdoor air quality improved in all villages, with no difference between treated versus untreated villages. Exposure-energy trade-off analysis showed that untreated households achieved similar personal PM<sub>2.5</sub> reductions at lower cost, with smaller coal use reductions and less electricity expenditures. The CHP significantly reduced seasonal indoor PM<sub>2.5</sub>, but continued burning of biomass, which was accessible at no cost, limited air quality improvements and may have contributed to the observed increase in 24-h indoor BC. This illustrates how behavioral choices, economic feasibility, and selection of exposure metrics influence the measured impact of household energy transitions.

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Journal
Environmental Science & Technology
Published
2025-11-06
DOI
https://doi.org/10.1021/acs.est.5c05769
Primary Topic
Energy and Environment Impacts
Type
article
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article

Multi-year Evaluation of a Clean Heating Policy on Residents’ Air Pollution Exposures in Beijing, China

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Environmental Science & Technology
Energy and Environment Impacts
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Multi-year Evaluation of a Clean Heating Policy on Residents’ Air Pollution Exposures in Beijing, China

Talia Sternbach, Guofeng Shen, Shu Min Tao, Collin Brehmer, Brian E. Robinson, Ellison Carter, Jill C. Baumgartner, Sam Harper, Christopher Barrington‐Leigh, Xiang Zhang, Xiaoying Li, Yuanxun Zhang, Kristen Hirst, Wei Yuan
article en

Abstract

China's Clean Heating Policy (CHP), aimed at shifting households from coal to electricity for space heating, represents a major residential energy transition initiative. We evaluated its multi-year impacts on outdoor, indoor, and personal exposures to PM<sub>2.5</sub> and black carbon (BC) across 50 villages and 1,236 households in rural Beijing. Using a difference-in-differences (DiD) design, we observed a substantial (31 μg/m<sup>3</sup>) reduction in winter (3 month) indoor PM<sub>2.5</sub> (95% CI: -53, -9), but an increase in 24-h indoor BC by 2.6 (0.4, 4.7) μg/m<sup>3</sup>. CHP-driven reductions in personal exposures were limited, emphasizing the limitations of using single 24-h measurements to estimate "usual" exposure. Outdoor air quality improved in all villages, with no difference between treated versus untreated villages. Exposure-energy trade-off analysis showed that untreated households achieved similar personal PM<sub>2.5</sub> reductions at lower cost, with smaller coal use reductions and less electricity expenditures. The CHP significantly reduced seasonal indoor PM<sub>2.5</sub>, but continued burning of biomass, which was accessible at no cost, limited air quality improvements and may have contributed to the observed increase in 24-h indoor BC. This illustrates how behavioral choices, economic feasibility, and selection of exposure metrics influence the measured impact of household energy transitions.

Environmental Science & TechnologyVol. 59(45)
Chinese Academy of Sciences (CN), Peking University (CN), Ethics and Public Policy Center (US), Earth Science Institute of the Slovak Academy of Sciences (SK), Institute of Urban Environment (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN), McGill University (CA), Colorado State University (US)
Openalex Percentile: Top 74%
Energy and Environment Impacts
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