Greening portfolios: the role of self-determination and egoism in pre-adoption green investment decisions
ポートフォリオのグリーン化：グリーン投資の採用前決定における自己決定と利己主義の役割 (AI 翻訳)
Pooja Mehta, Saijal Gulati, Amarjit Kaur Passi
🤖 gxceed AI 要約
日本語
本研究は、北インドの540人の個人投資家を対象に、グリーン投資への態度と意図に影響する心理的要因を調査した。PLS-SEM分析の結果、自律性、有能感、関係性、環境懸念、グリーン自己同一性、道徳的義務が態度に正の影響を与え、知覚された不便さは負の影響を与えることが示された。また、グリーン投資知識が態度と意図の関係を強化する。
English
This study examines psychological factors influencing retail investors' pre-adoption attitudes and intentions toward green investments, using survey data from 540 investors in North India and PLS-SEM analysis. Findings show that autonomy, competence, relatedness, environmental concern, green self-identity, and moral obligation positively affect attitudes, while perceived inconvenience has a negative effect. Green investment knowledge strengthens the attitude-intention link.
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
日本では、個人投資家のESG投資参加拡大が課題であり、本研究成果は金融機関や政策立案者が投資家の心理的動機を理解し、グリーン投資商品の設計や情報提供に活用できる。SSBJ開示や統合報告書を通じた情報開示が進む中、投資家の意思決定プロセスへの示唆は有用。
In the global GX context
This study contributes to global sustainable finance literature by focusing on pre-adoption behavior of retail investors, a segment often overlooked. Insights on psychological motivators can inform financial institutions and policymakers in designing products and communication strategies to encourage green investment, complementing disclosure frameworks like TCFD and ISSB.
👥 読者別の含意
🔬研究者:Provides empirical evidence on psychological drivers of green investment intention, useful for extending sustainable finance models.
🏢実務担当者:Highlights factors to consider when designing green investment products and marketing to retail investors.
🏛政策担当者:Suggests policy interventions to promote retail participation in sustainable finance.
📄 Abstract（原文）
Purpose This study examines the psychological and motivational factors underlying retail investors' pre-adoption attitudes and intentions toward green investments and investigates the moderating role of green investment knowledge. Design/methodology/approach A quantitative research design was employed using primary data collected through a structured questionnaire administered to 540 retail investors in North India. The proposed theoretical model and moderation effects were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with SmartPLS (v.4). Findings The results indicate that perceived personal inconvenience negatively influences attitudes toward green investment. In contrast, autonomy, competence, relatedness, concern for environmental consequences, green self-identity and moral obligation exert significant positive effects. Furthermore, knowledge of green investment strengthens the relationship between green investment attitude and intention, with attitude emerging as a strong predictor of green investment intention. Research limitations/implications The findings offer valuable insights for financial institutions and policymakers by highlighting the role of psychological motivators and investor knowledge in shaping pre-adoption attitudes and intentions toward green investments. Tailored products, targeted communication strategies and policy interventions may facilitate the transition of conventional investors into sustainable finance participants. Originality/value The research makes a contribution to the literature on sustainable finance because it explores the psychological factors related to the formation of green investment attitude and intention among non-participating retail investors. The study sheds light on the cognitive and motivationally significant role of mainstream investors in evaluating green investment opportunities before engaging in the process, pre-adoption evaluation, as opposed to post-adoption behaviour, which is a research area that has not been adequately explored in the literature.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1108/sajbs-02-2025-0068first seen 2026-08-04 04:43:51
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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。