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Jing Liang

Researcher at University of Maryland, College Park

Publications -  20
Citations -  285

Jing Liang is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Efficient energy use & Air conditioning. The author has an hindex of 7, co-authored 15 publications receiving 169 citations. Previous affiliations of Jing Liang include Beijing Normal University.

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Do energy retrofits work? Evidence from commercial and residential buildings in Phoenix

TL;DR: In this article, the authors quantified the energy savings of the Energize Phoenix program in Phoenix, Arizona, using pre-post treatment billing data from January 2008 to April 2013, covering 201 residential buildings and 636 commercial buildings.
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Mind the energy performance gap: Evidence from green commercial buildings

TL;DR: In this article, the authors identify and analyze the organizational, behavioral and engineering factors related to the energy performance gap in buildings and propose several suggestions to mitigate this gap, such as incentives to facility managers, commissioning, energy performance contracting, and occupants' behavioral change.
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Increase in domestic electricity consumption from particulate air pollution

TL;DR: In this article, the authors used an instrumental variable panel regression approach and found that particulate matter air pollution increases electricity consumption in residential buildings as well as in retail and recreation service industries.
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Source analysis of global anthropogenic lead emissions: their quantities and species

TL;DR: Between 1930 and 2010, the total lead emissions were 173.8 Mt, mainly from waste management and recycling, production, and use, and together, they accounted for 61.2 % of the total emissions.
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Energy transition, public expressions, and local officials’ incentives: Social media evidence from the coal-to-gas transition in China

TL;DR: Li et al. as mentioned in this paper provided an empirical evaluation of the coal-to-gas transition policy using timely social media data and explored whether local officials have incentives to respond to public expressions.