Responsible Tourism Made Easy: Carbon Footprint Tracked by your Bank for Sustainability
簡単になる責任ある観光：銀行が追跡するカーボンフットプリントで持続可能性へ (AI 翻訳)
R. Caro-Carretero
🤖 gxceed AI 要約
日本語
スペインの世帯のカーボンフットプリントを、銀行データを用いて自動追跡する手法を提案。1,017人のデータから、移動、外食、住宅、買い物のカテゴリー別に排出量を分析し、年齢、収入、世帯構成などの要因が排出パターンに影響することを示した。観光セクターの排出削減に向けた政策提言を行う。
English
This study proposes a method to automatically track household carbon footprints using banking data in Spain. Analyzing 1,017 individuals, it disaggregates emissions into mobility, restaurants, housing, and shopping, showing that age, income, and household size drive emissions and tourism demand. Offers data-driven recommendations for targeted sustainability policies.
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
日本の個人カーボンフットプリント可視化の取り組み（例：カーボンフットプリント表示制度）との比較や、銀行データ活用の可能性を示唆するが、日本の実証データは含まれていない。
In the global GX context
This paper contributes to global carbon accounting innovation by demonstrating a practical method using bank data for individual-level consumption tracking, relevant for countries exploring digital sustainability tools, though the dataset is Spain-specific.
👥 読者別の含意
🔬研究者:Provides a novel methodology for consumption-based carbon accounting using bank transaction data, with insights on demographic drivers.
🏢実務担当者:Banks and sustainability teams can learn how to leverage transaction data to offer carbon footprint tracking services to customers.
🏛政策担当者:Highlights the potential of digital monitoring to design targeted sustainability interventions and reduce household emissions.
📄 Abstract（原文）
The legacy we leave to future generations is shaped by the way we consume, move and inhabit our environment. Despite increasing climate commitments, household carbon emissions remain a major blind spot in Spain’s sustainability transition. This study addresses the problem of identifying the main drivers of individual emissions and their linkage with tourism-related behavior. Using a dataset of 1,017 individuals with detailed sociodemographic, professional and behavioral variables, total household emissions are disaggregated into mobility, restaurants, housing and shopping categories and cross-referenced by age, gender, region, employment status, income, telework days, nationality and household composition. Statistical analyses, including ANOVA and t-tests, are employed to highlight significant differences and patterns across demographic groups, taking into account indicators of sustainability-related attitudes and behaviors. The research aims to understand the underlying factors and inequalities of household carbon footprints, with a focus on implications for the tourism sector, which contributes significantly to national emissions, particularly through transport. Results show that variables such as age, income and household size shape carbon footprints and tourism demand patterns. Its originality lies in combining automatic carbon assessment tools with digital banking data to track consumption-based emissions at the individual level. Practically, the study offers data-driven recommendations for policymakers and businesses to design tailored sustainability interventions and theoretically, it advances the discussion on behavioral and technological pathways to low-carbon tourism. The findings underscore the need for targeted, data-driven sustainability policies that integrate technological innovation and behavioral insights. By empowering citizens through digital monitoring and awareness, the sector can foster environmental stewardship and strengthen Spain’s transition toward a competitive, net-zero future.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.29036/ms2pj404first seen 2026-06-04 05:08:57
🔔 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。