Social Science Seminar -  Applications of Big Data on Residential Properties to Provide Decision-support for Decarbonization Policies 
12:00pm - 1:15pm
RM 3401, Academic Building Or Online Via ZOOM

This talk discusses three studies that apply big data on residential properties to provide decision-support for decarbonization policies. The data include residential property attributes and values in the United States that cover more than 150 million homes in 51 states. First, we use such data to assess the effectiveness of decarbonization policies that provide rebates and low-interest loans to incentivize consumers to adopt heat pumps. Heat pumps offer an energy-efficient way to electrify space heating and thus provides a pathway to achieving cost-effective deep decarbonization of the economy. Second, we estimate a positive house price premium associated with air source heat pump installations across 23 states in the United States, which provides important messages for potential government informational programs to incentive the adoption. Lastly, we estimate the impact of local natural gas (methane) leakages on housing prices. Methane is an important greenhouse gas. Our results provide the estimates of willingness-to-pay for repairing gas leakages, which is important for policymakers to evaluate any repair programs.

RM 3401, Academic Building Or Online Via ZOOM
Recommended For
Alumni, Faculty and staff, General public, PG students, UG students
More Information

Register for seminar HERE


Speakers / Performers:
Prof Yueming QIU
University of Maryland College Park
Division of Social Science

Humanities & Social Science
Public Policy