This report represents NEEP’s annual assessment of the major policy developments of 2014, as well as its look into the immediate future, where NEEP gauge states’ progress toward capturing cost-effective energy efficiency as a first-order resource. While looking at the region as a whole, NEEP also provides summary and analysis of some of the biggest building energy efficiency successes and setbacks from Maine to Maryland — including significant energy efficiency legislation and regulations and changes in funding levels for energy efficiency programs.
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This study looks at evidence of capitalization of energy efficiency features in home prices using data from real estate multiple listing services (MLS) in three metropolitan areas: the Research Triangle region of North Carolina; Austin, Texas; and Portland, Oregon. These home listings include information on Energy Star certification and, in Portland and Austin, local green certifications. Our results suggest that Energy Star certification increases the sales prices of homes built between 1995 and 2006 but has no statistically significant effect on sales prices for newer homes.
This study provides statistically significant analysis that ENERGY STAR qualified new homes sell faster (i.e., fewer days on the market) and for higher prices (i.e., sell for higher prices, or sell for a greater percentage of the listing price, or have a higher price per square foot) than comparable nonqualified homes, providing valuable evidence that there is a market advantage for ENERGY STAR qualified homes.
This report identifies issues associated with developing a national evaluation, measurement, and verification (EM&V) standard for end-use, non-transportation, energy efficiency activities.
This paper, which is based on detailed case studies of nine existing state and local programs, presents recommendations for energy upgrade programs to facilitate industry growth and support contractor business models.
This report provides an overview of evaluation, measurement, and verification approaches used to estimate the load impacts and effectiveness of energy efficiency programs.