Spatial Energy Efficiency Patterns in New York and Implications for Energy Demand and the Rebound Effect
Energy Sources Part B: Economics, Planning and Policy
This study uses a spatial Durbin error model (SDEM) approach to analyze adoption trends for residential energy-efficiency measures (EEMs) in New York state. Model results are based on socioeconomic, building, and household demographic characteristics during the 2012–2016 period. Our study’s results confirm that a positive correlation exists between EEM uptake and multifamily buildings, gas-heated homes, education effects, and spatial spillover effects among neighboring ZIP codes. The results show that building attributes hold a relatively high explanatory power over EEM adoption compared with socioeconomic characteristics. Our results show that energy-efficiency policies can create positive and significant neighborly effects in promoting EEM adoption. The developed SDEM methodological framework provides useful insights in identifying energy-efficiency opportunities that exist in rural, suburban, and urban communities, highlighting the need to review policy incentives periodically to address underlying changes in the built environment and spatial disparities in energy-efficiency investments.
This is an original manuscript of an article published by Taylor & Francis in Energy Sources Part B: Economics, Planning and Policy on 03/08/2021, available at: http://www.tandfonline.com/10.1080/15567249.2020.1868619
Energy efficiency, spatial spillover effects, spatial Durbin modeling, neighborly emulation, rebound effects, New York, energy-efficiency measures
Joseph Nyangon & John Byrne (2021) Spatial Energy Efficiency Patterns in New York and Implications for Energy Demand and the Rebound Effect, Energy Sources, Part B: Economics, Planning, and Policy, 16:2, 135-161, DOI: 10.1080/15567249.2020.1868619