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インド投資家におけるESG開示品質・投資家信頼・投資意図に関するサーベイデータセット

A Survey Dataset on ESG Disclosure Quality, Investor Trust and Investment Intention among Indian Investors (原題)

Samarth Pande, Dr Satyendra P Singh Satyendra, Dr. Priyanka Chowdhary, Dr. Annu Pandey, Dr. Sharad Dixit

Mendeley Dataデータセット2026-10-29#ESG経営インパクト: 資金調達対象セクター: finance
DOI: 10.17632/tjy98rw9sg
原典: https://doi.org/10.17632/tjy98rw9sg

🤖 gxceed AI 要約

日本語

インドの投資家を対象に、ESG開示の透明性・信頼性・規制遵守・開示品質が投資家の信頼と投資意図にどう結びつくかを調べた質問紙サーベイデータセット。6つの構成概念・31項目を5段階リッカート尺度で測定し、信頼性・妥当性検証や共分散構造分析、投資家セグメンテーションに活用できる。新興国市場における持続可能な金融と責任投資行動の研究基盤を提供する。

English

A questionnaire dataset capturing Indian investors' perceptions of ESG disclosure quality—transparency, credibility, regulatory compliance—and how these relate to investor trust and sustainable investment intention. It contains 31 Likert-scale items across six constructs, supporting reliability/validity testing, factor analysis, SEM, and investor segmentation. It offers an empirical base for sustainable finance and responsible investment research in an emerging market.

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SSBJ基準・有価証券報告書でのサステナビリティ開示が進み、開示の「質」が投資家の信頼や投資判断に与える影響への関心が高い。本データは新興国市場の投資家知覚を測る枠組みとして、日本企業の開示品質評価や投資家対応の設計に示唆を与える。

In the global GX context

As ISSB/IFRS S1-S2 adoption spreads globally, evidence on whether disclosure quality actually builds investor trust is central to the disclosure-infrastructure debate. This dataset adds an emerging-market (India) investor-perception perspective, complementing TCFD/CSRD-focused studies from advanced economies and informing how regulators and firms calibrate ESG reporting.

👥 読者別の含意

🔬研究者:ESG開示と投資家行動の関係をSEMで検証するための測定尺度・データ構造の参照モデルとして有用。

🏢実務担当者:開示の透明性・信頼性・規制遵守が投資家信頼に効くという枠組みを、自社のESG開示設計や投資家対話の改善に応用できる。

🏛政策担当者:開示規制の遵守状況と投資家信頼の関係を示す知見は、ESG開示制度の実効性設計の参考になる。

📄 Abstract(原文)

This dataset examines Indian investors' perceptions of Environmental, Social and Governance (ESG) disclosures and their relationship with investor trust and investment intention. It focuses on how reporting transparency, disclosure credibility, regulatory compliance and overall ESG disclosure quality relate to investors' confidence in corporate information and their willingness to make investment decisions based on sustainability-related disclosures. Data were collected using a structured questionnaire consisting of three sections. Section A included four screening questions assessing respondents' age, residence in India, awareness of ESG or sustainability reporting, and basic investment knowledge. Section B contained 18 demographic, financial and investment-related questions covering gender, age, education, occupation, monthly income, investment status, investment experience, investment products, decision-making frequency, ESG familiarity, information sources, ESG preferences and perceptions of sustainability reporting. Section C comprised 31 measurement items organised into six constructs: Reporting Transparency (RT, 5 items), Disclosure Credibility (DC, 5 items), Regulatory Compliance (RC, 5 items), ESG Disclosure Quality (EDQ, 6 items), Investor Trust (IT, 5 items) and Investment Intention (II, 5 items). Responses were recorded using a five-point Likert scale ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). The dataset supports descriptive statistical analysis, reliability and validity assessment, exploratory and confirmatory factor analysis, structural equation modelling, investor segmentation and comparative analysis across demographic and investment-experience groups. It also provides opportunities to examine the relationships among ESG awareness, reporting credibility, regulatory compliance, disclosure quality, investor trust and sustainable investment intentions. The dataset contributes to research on sustainable finance, corporate governance, ESG reporting, investor behaviour and responsible investment decision-making in the Indian financial market.

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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。