From the household up: renovation dynamics in the French and Swiss owner-occupied residential building stock
世帯から始まる：フランスとスイスの持ち家住宅ストックにおける改修ダイナミクス (AI 翻訳)
Ankita Singhvi, Mikhail Sirenko, Aristide Athanassiadis, Claudia R. Binder
🤖 gxceed AI 要約
日本語
本研究は、フランスとスイスのレマン地域の持ち主世帯を対象に、エネルギー効率的な改修の実態と意図を調査し、世帯・住居グループごとの改修率の違いを明らかにした。年換算改修率は0.4〜2.8%とグループ間で差があり、技術的潜在性が高くても組織的障壁が意図を制約し、金銭的インセンティブだけでは不十分であることを示した。政策立案者への示唆として、低エネルギー性能かつ低改修意図のグループへの的を絞った支援とモニタリングの機会を提案している。
English
This study surveys owner-occupiers in the cross-border Lémanic region of France and Switzerland to model renovation dynamics. It finds annualized renovation rates vary from 0.4-2.8% across household-dwelling groups, with organizational barriers constraining intentions even where technical potential is high. Financial incentives alone are insufficient for households perceiving their dwelling's energy performance as adequate. The results suggest targeting support and monitoring to groups with low energy performance and low renovation intentions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の住宅ストックの脱炭素化政策（省エネ基準適合義務化、断熱改修補助金など）に対して、世帯の意思決定を考慮した政策設計の重要性を示す。特に、金銭的インセンティブだけでは不十分で、認識や組織的障壁への対応が必要という知見は、日本の改修促進策に示唆を与える。
In the global GX context
This study provides actor-driven insights into renovation dynamics, relevant to global efforts to decarbonize building stocks. It highlights that financial incentives alone are insufficient, and that targeted support based on household-dwelling groups is needed. The findings are useful for policymakers designing renovation policies under the EU's Energy Performance of Buildings Directive and similar initiatives.
👥 読者別の含意
🔬研究者:Provides a novel actor-driven modeling approach and empirical data on renovation rates and barriers, useful for building stock decarbonization research.
🏢実務担当者:Offers insights for energy service companies and renovation contractors on targeting customer segments with high potential and low intention.
🏛政策担当者:Highlights the need for targeted policies beyond financial incentives, addressing organizational and perceptual barriers to renovation.
📄 Abstract（原文）
Abstract Energy-efficient renovations are a key decarbonisation strategy in Europe, targeted towards ageing building stocks that rely on fossil fuels. However, tracking renovation progress is challenging due to limited data; household renovation activities and motivations are not represented by official statistics. This study takes an actor-driven approach to model building stock renovation dynamics, drawing on survey data (N = 1,603) collected in 2023 from owner-occupiers in the Lémanic region, a cross-border region spanning western Switzerland and eastern France. We analysed past renovation actions, future intentions, and drivers and constraints. We clustered responses into household–dwelling groups, by combining the socio-demographic characteristics of households (e.g., composition, income) with the physical characteristics of their dwellings (e.g., construction period, size). We found that annualised energy-efficient renovation rates ranged from 0.4–2.8% between household–dwelling groups, and the rate of intervention per building component (envelope, heating systems, energy installations) differed up to seven-fold. Organisational barriers constrained renovation intentions even where technical potential was high, and financial incentives alone were insufficient to motivate energy renovation among households who perceived their dwelling’s energy performance as adequate, even in cases where the energy label was low (D–E). PV installations and air-cooling systems exhibited the most rapid acceleration in past and projected future uptake. The results are relevant to policy makers; as renovation intentions are not evenly distributed over the dwelling stock, there is an opportunity to target support and monitoring to household–dwelling groups with low energy performance and low renovation intentions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s44498-026-00142-9first seen 2026-08-04 04:56:36
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。