arbiter
JournalsPricingAccount

Influencing Housing Outcomes: Analyzing the Effects of Green Marketing Strategies

Unknown author

International Real Estate Review2026https://doi.org/10.53383/100415article
ABDC C
Weight
0.50

What the paper says

Real estate agents provide unstructured information in marketing remarks for listed housing transactions that potential buyers may find valuable; however, research on their impact on housing outcomes is limited.This study provides empirical evidence on the impact of unstructured marketing remarks related to green housing features, specifically solar panels, on house prices and the number of days on the market.The results show that remarks about solar panels and financing options have a significant influence on prices and time on the market.After controlling for potential selection bias, our results indicate that properties including marketing comments related to owned, leased, or Power Purchase Agreement solar panels positively capitalize into higher selling prices, yet mentioning the presence of solar panels without mentioning the type of financing negatively impacts property prices.Other green attributes highlighted in marketing remarks show mixed price effects.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.53383/100415

Or copy a formatted citation

@article{unknown2026,
  title        = {{Influencing Housing Outcomes: Analyzing the Effects of Green Marketing Strategies}},
  author       = {Unknown author},
  journal      = {International Real Estate Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.53383/100415},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Influencing Housing Outcomes: Analyzing the Effects of Green Marketing Strategies

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.