A spatial analysis of EPCs in The Belfast Metropolitan Area housing market

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)
313 Downloads (Pure)

Abstract

Energy performance remains a debated topic in real estate, particularly with reference to the capitalisation effect with property value. An emerging corpus of research studies have investigated the relationship between energy performance characteristics and the role of Energy Performance Certificates. Whilst these studies have consistently demonstrated that a pricing effect exists, some recent studies have shown that Energy Performance Certificates (EPCs)s are more complex and inconclusive, particularly when accounting for data limitations and changing model specifications. Moreover, a majority of these studies neglect to adequately account for absolute location and therefore, arguably, do not examine the geographic variation between EPCs and property value across the housing market setting. This study presents one of the first spatial analyses of EPCs using transactions for the Belfast Metropolitan Area. In evaluating whether spatial effects exist between EPCs and house prices, a number of spatial tests are performed and a series of models are developed to account for spatial dependency and determine whether there are any spatially correlating effects. The findings indicate that EPCs comprise a partial effect on house prices, and importantly, there are pricing differentials in the spatial variation in EPCs with the pricing effects conforming to both spatial clustering and randomness.

Original languageEnglish
Pages (from-to)25-61
JournalJournal of Property Research
Volume37
Issue number1
DOIs
Publication statusPublished (in print/issue) - 4 Dec 2019

Keywords

  • Housing markets
  • Spatial analysis
  • spatial lag model
  • energy efficiency
  • spatial econometrics
  • GWR
  • nergy performance
  • house prices

Fingerprint

Dive into the research topics of 'A spatial analysis of EPCs in The Belfast Metropolitan Area housing market'. Together they form a unique fingerprint.

Cite this