ABSTRACT

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.

摘要

这项研究使用空间杜宾误差模型（SDEM）方法来分析纽约州住宅节能措施（EEM）的采用趋势。模型结果基于2012-2016年期间的社会经济，建筑和家庭人口特征。我们的研究结果证实，EEM的吸收与多户住宅，燃气取暖的房屋，教育效果以及相邻邮政编码之间的空间溢出效应之间存在正相关关系。结果表明，与社会经济特征相比，建筑属性对采用EEM具有较高的解释力。我们的结果表明，能源效率政策可以在促进EEM的采用方面产生积极而显着的邻近影响。