能源绩效证书与房价:分位数回归方法

IF 1.3 Q3 BUSINESS, FINANCE
M. McCord, J. McCord, M. Haran, PT Davis
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引用次数: 10

摘要

许多研究调查了能源绩效证书(epc)与房价之间的关系。大多数研究倾向于在传统的享乐条件平均估计模型中模拟能源绩效定价效应。对于epc与整个定价分布的影响之间的关系,分析有限。此外,对“标准成本改进EPC评分”或“潜在评分”的研究也很有限。因此,本文旨在量化和衡量epc对整个价格范围内房价的动态影响,并考虑标准化的成本效益改造改进。设计/方法/方法现有EPC研究为整个定价分布产生一个系数,最终得出一个边际隐性价格效应。本研究中的方法采用分位数回归方法,以经验估计房价的分位数如何对EPCs的近端效应和整个房价条件分布的结构性属性特征的单一变化做出不同的反应。使用1,476个已实现交易价格的数据集,分位数回归模型应用评估的EPC得分和波段,并进一步检查基于平均能源成本改进的潜在EPC评级,以改善能源绩效。研究结果表明,EPCs的价值在不同的分位数中是不同的,条件分位数是不对称的。只有价格分布中较高分位数的房地产价格与能源绩效表现出显著的资本化效应,只有EPC得分较高的房地产在价格分布的较高端表现出显著的正效应。在价格分布的高端,对于F级和g级EPC属性中的低等级属性,也存在明显的棕色折扣效应。此外,潜在能源效率评级(得分)也显示出销售价格的影响增加,似乎最小化了任何棕色折扣的影响。研究结果表明,能源绩效是一个复杂的特征,不容易“平均”评估效果的目的。原创性/价值虽然有许多研究调查了epc的定价效应,但它们倾向于提供一个单一的估计来确定其与价格的关系。本文通过研究EPCs与房价之间关系的分位数,将传统的分析见解扩展到条件均值估计之外,以增强对这一深奥而复杂问题的理解。此外,本研究应用评估的能源效率潜力来确定有效的成本改进是否增强了与销售价格和资本化效应的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy performance certificates and house prices: a quantile regression approach
PurposeA number of studies have investigated the relationship between energy performance certificates (EPCs) and house prices. A majority of studies have tended to model energy performance pricing effects within a traditional hedonic conditional mean estimate model. There has been limited analysis that has accounted for the relationship between EPCs and the effects across the pricing distribution. Moreover, there has been limited research examining the “standard cost improvements EPC score”, or “potential score”. Therefore, this paper aims to quantify and measure the dynamic effects of EPCs on house prices across the price spectrum and account for standardised cost-effective retrofit improvements.Design/methodology/approachExisting EPC studies produce one coefficient for the entirety of the pricing distribution, culminating in a single marginal implicit price effect. The approach within this study applies a quantile regression approach to empirically estimate how quantiles of house prices respond differently to unitary changes in the proximal effects of EPCs and structural property characteristics across the conditional distribution of house prices. Using a data set of 1,476 achieved transaction prices, the quantile regression models apply both assessed EPC score and bands and further examine the potential EPC rating for improved energy performance based on an average energy cost improvement.FindingsThe findings show that EPCs are valued differently across the quantiles and that conditional quantiles are asymmetrical. Only property prices in the upper quantiles of the price distribution show significant capitalisation effects with energy performance, and only properties with higher EPC scores display positive significant effects at the higher end of the price distribution. There are also brown discount effects evident for lower-rated properties within F- and G-rated EPC properties at the higher end of the pricing distribution. Moreover, the potential energy efficiency rating (score) also shows increased effects with sales prices and appears to minimise any brown discount effects. The findings imply that energy performance is a complex feature that is not easily “averaged” for valuation effect purposes.Originality/valueWhile numerous studies have investigated the pricing effects of EPCs, they have tended to provide a single estimate to determine the relationship with price. This paper extends the traditional analytical insights beyond the conditional mean estimate by examining the quantiles of the relationship between EPCs and house prices to enhance the understanding of this esoteric and complex issue. In addition, this research applies the assessed energy efficiency potential to establish whether effective cost improvements enhance the relationship with sales price and capitalisation effects.
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CiteScore
3.10
自引率
7.70%
发文量
18
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