Estimating energy savings and greenhouse gas emission reductions from energy rating and disclosure policies

Authors

  • Fátima Uriarte Cáceres Columbia University. New York, United States

DOI:

https://doi.org/10.15381/idata.v21i2.15603

Keywords:

Energy, benchmarking, disclosure, causal inference

Abstract

The purpose of this paper is to estimate the energy savings and greenhouse gas emission reductions from energy rating and disclosure policies in New York City. During the first six year of the policy, the City saw a cumulative energy savings of 10.8% and cumulative GHG reductions of 8.5%. However, these gross changes cannot necessarily be attributed to the benchmarking and transparency policies. In order to estimate the “counterfactual” scenario – what would have happened if the policy was not implemented, we use a combination of Difference-in-Difference Estimation and Propensity Score Matching. Based on this model, we conclude that the disclosure of Energy Star Scores to the public did not have a significant effect on energy savings and GHG emissions reductions for multifamily buildings.

Downloads

Download data is not yet available.

Author Biography

  • Fátima Uriarte Cáceres, Columbia University. New York, United States
    Master of Public Administration and Master of Mathematical Statistics, Independent Researcher

Downloads

Published

2018-12-20

Issue

Section

Producción y Gestión

How to Cite

Estimating energy savings and greenhouse gas emission reductions from energy rating and disclosure policies. (2018). Industrial Data, 21(2), 53-62. https://doi.org/10.15381/idata.v21i2.15603