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This paper aims to empirically describe the general characteristics and the investment behavior of high-net-worth individuals (HNWIs) who pursue impact investing.

Data was collected from members of a global impact investor network, using an online questionnaire, a portfolio-data collection tool and semi-structured interviews.

Wealthy private impact investors are largely similar in terms of their general characteristics and investment behavior, but they diverge in their interest in specific Sustainable Development Goals (SDGs). They tend to be strongly values-driven and to adopt an investment time horizon of 7+ years for their impact investments, which they expect to yield financial returns that are no different from those of traditional investments. Interestingly, these investors perceive the well-established sustainable investing strategies of exclusion, environmental, social and governance (ESG) integration and best-in-class as not having high impact-generating potential.

Suggestions are provided about how wealthy private investors could use the findings to improve their impact investment decisions. Advice is offered to investment professionals on how to optimize impact investment products and services for this economically and societally highly relevant target group.

To the best of the authors’ knowledge, this is the first scientific study to investigate the general characteristics and investment behavior of HNWIs who pursue impact investing. HNWIs have great relevance for financial markets yet they are out of reach for most researchers. As a result, they are poorly understood, and apparently also often misunderstood, which has substantial economic and social implications that this paper helps mitigate.

The study aims to identify the trends in the scholarly works on investors preference toward sustainable investments by synthesizing their knowledge structures.

A systematic search approach using PRISMA protocol on the Scopus database was used to generate a sample of 403 publications for the purpose of bibliometric analysis. The study performed a range of analyses, including three-field plot analysis, thematic mapping and cluster analysis using the VOSviewer and Biblioshiny software.

The key findings comprise the identification of four clusters within the subject, namely, corporate social responsibility and environmental, social and governance (ESG) investing, ethical investing, green finance and socially responsible investments. This study offers a clear picture of the publishing advancement and research diversification of four selected clusters' research themes, and cluster subthemes.

The research reveals the social and intellectual structure of the field, which provides the future researchers an insights into emerging themes and provides them opportunities for collaboration as well. The outcomes of the research hold significance for policymakers, governing bodies, aspiring scholars, advocates for the environment and investors. It offers an insightful framework for implementing sustainable practices, balancing profits, and environmental risks and creating value from environmentally conscious research and practice.

The future direction and extensiveness of research work have been explored using the themes generated. To the best of the authors’ knowledge, this study, which combines the VOSviewer and Biblioshiny tools, is likely the first attempt to provide a thorough bibliometric analysis in the research sphere of investors preferences toward sustainable investments.

The purpose of this study is to examine whether sustainable and responsible investing (SRI) outperforms the benchmark index investing across different time frames globally.

Based on the systematic weighted environmental, social and governance (ESG) ratings compiled by Thomson Reuters Asset4, the authors assess the stock market performance and risk of highly compliant firms portfolio in seven different countries; grouped as developed and developing nations over different time frames by adopting the Jensen’s alpha model (CAPM) and the Fama and French three-factor model.

The study finds that SRI portfolios significantly underperform their benchmark index, in case of, the developing nations, however, enjoy a significantly lower risk. This is contrary to the findings in case of developed nations, where the US SRI portfolio has significantly outperformed the benchmark index and the UK and Australia SRI portfolios have performed in line with the benchmark index. Finally, the study discusses results and implications for regulators, practitioners and investors’ who believe in the SRI investing.

This study provides empirical support for the practitioners, policymakers and investors emphasizing that in the case of developed nations SRI investments generate a significant excess return or at the best perform in line with the broader market index. However, in the case of developing nations, very few firms are consistently rated on ESG parameters. This provides lesser options for investors in developing nations to apply the “impact first” philosophy of investment. The investor’s community and regulators need to make a serious effort in promoting firms to take up sustainability effort seriously.

The unique contribution of this study is that it considers a wider definition of the term “sustainability” and examines the performance of SRI investment in developed vs developing countries. This is one of the few studies at the global level, which highlights whether sustainable investing generates abnormal risk-adjusted returns for the investors.

The majority of the literature on green buildings in Ghana focuses on environmental benefits, innovative designs, construction technologies and project management techniques. However, little is known about how such facilities are financed. This issue creates potential knowledge gaps, one of which this study aims to address. This study examines the key drivers for green building project financing in Ghana.

The study uses an explanatory sequential design with an initial quantitative instrument phase, followed by a qualitative data collection phase. An extensive critical comparative review of the literature resulted in the identification of eight potential drivers. One hundred and twenty-seven questionnaire responses based upon these drivers from the Ghanaian construction industry were received. Data were coded with SPSS v22, analysed descriptively (mean, standard deviation and standard error) and via inferential analysis (One Way ANOVA and One-Sample t-Test). These data were then validated through semi-structured interviews with ten industry professionals within the Ghana Green Building Council. Data obtained from the semi-structured validation interviews were analysed through the side-by-side comparison of the qualitative data with the quantitative data.

Though all eight drivers are important, the five key drivers for the Ghanian construction industry were identified as, in order of importance, “high return on investment”, “emerging business opportunity”, “ethical investment”, “conservation of resources” and “mandatory regulations, standards, and policies”. The interviewees agreed to and confirmed the importance of these identified drivers for green building project financing from validating the survey's key findings.

Key limitations of this study are the restrictions regarding the geographical location of the collected data (i.e. Kumasi and Accra); timing of the study and sample size (i.e. the COVID-19 pandemic making it difficult to obtain adequate data).

Though this study was conducted in Ghana, its implications could be useful to researchers, policymakers, stakeholders and practitioners in wider sub-Saharan Africa. For instance, financial institutions can invest in green buildings to expand their green construction and mortgage finance products to build higher value and lower risk portfolios. The findings from this study can provide investors with the enhanced certainty needed to help guide and inform their investment decisions, i.e. what to invest in, and when, by how much and how a scheme being “green” may influence their rate of return. Also, for building developers, it will give them a clearer understanding of the business case for green buildings and how to differentiate themselves in the market to grow their businesses.

This study's findings provide insights into an under-investigated topic in Ghana and offer new and additional information and insights to the current state-of-the-art on the factors that drive green building project financing.

Impact investing denominates an investment logic that combines social and environmental goals, financial returns as well as personal values. The purpose of this paper is to consider the concept of legitimacy to be an appropriate way to understand how actors in the impact investing market influence discourse in order to overcome the inherent liability of newness – based on hybrid institutional logics – through their financial and non-financial communication.

Based on two theoretically defined sets of codes, a thematic discourse analysis is conducted by analysing meaningful units derived from documents produced by case-selected actors in the impact investing industry, which are then categorised into rhetorical strategies for legitimacy building.

The paper finds that actors use diverse legitimisation strategies based on their relative positioning in the impact investing market. These strategies determine the actors’ main discursive foci and, in turn, are affected by the overall organisational activities, governance and mission. This study proposes and discusses eight legitimacy creating strategies of relevant archetypes of impact investing actors in their financial and non-financial communication. Following these interconnected discursive engagements, a communication gap can be demonstrated between investors, intermediaries and social entrepreneurs.

Such discursive engagement gaps can provide a theoretical lens to explain the almost non-functional market and, as practical implications, show the need for convergence and harmonisation in financial and non-financial reports and communiques. This research further contributes to theory by providing insights into the discursive creation of legitimacy, and by promoting a better understanding of the emerging field of impact investing.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

This study analyses the role of individuals' objective financial knowledge in shaping preferences for ethical intermediaries and sustainable investments in Italy. Another goal of this study is to assess the impact of individuals' misperceptions about their own financial knowledge and to test for gender-related differences in attitudes towards socially responsible investing (SRI).

Using nationally representative microdata from the Bank of Italy’s “Italian Literacy and Financial Competence Survey” (IACOFI), the authors use probit models, extended to account for potential endogeneity issues, to assess the causal effects of financial knowledge and confidence on stated preferences for SRI. Empirical models also allow to explicitly assess the moderating role of gender on the effects of financial knowledge and confidence on attitudes towards sustainable investing.

Results indicate that individuals' preferences for sustainable finance significantly increase with financial knowledge, suggesting that inadequate financial competencies represent a barrier to participation in SRI. At the same time, lack of confidence in one’s own financial knowledge significantly hampers attitudes towards sustainable investments. Furthermore, the authors show that women have a greater preference for sustainable finance than men and point out that financial knowledge and confidence exert heterogenous effects on attitudes towards SRI.

This study provides several contributions to the literature on SRI. First, the authors give evidence of the causal effect of financial knowledge on preferences for both ethical financial intermediaries and sustainable investments. Moreover, this is the first study to investigate the role of financial underconfidence bias in shaping individuals' SRI attitudes. Finally, extending previous research, the authors assess differences in SRI preferences between women and men and provide novel evidence on gender-related heterogeneity in the effects of financial knowledge and underconfidence.

The sustainable and responsible investing (SRI) is the part of sustainable investment which focusses on mutual funds. The purpose of this paper is to map and evaluate all the active European SRI funds, their performances and correlation with the national identity.

The sample of the research was analysed with descriptive statistics, mainly the frequency, the mean and the correlation analysis. A well-known volatility is represented by the synthetic risk and reward indicator (SRRI). Other two ratings are the environmental, social and governance (ESG) funds score distribution and the ESG funds letter rating distribution.

SRI investment may seem to be performing better than in the funds with a different focus. The segment of SRI funds will grow for the next decade.

There is a lack of definitions and clear metrics for sustainable investing. For better performance, it would be also appropriate to examine each country separately.

This paper is part of the project targeting to design a model and methodology of SI evaluation taking into account ESG factors and risks, including profitability in a selected sector. This model can be used by investors for better decision-making.

The paper focusses on the funds selecting investments that fulfil ESG criteria, which are part of the social responsibility and sustainability.

An analysis of the current approaches to evaluating investments shows that the key barrier in the transitions to sustainable investment is not taking into account the ESG factors. The research in this paper includes the ESG factors in the evaluation.

Much of the current literature on category construction and maintenance has focused primarily on the disciplining effect of audiences that evaluate for conformity. This literature often characterizes categories as benign organizing devices that bring order to social life. However, categories are also contentious political and cultural productions. This is especially so, when the categories are hybrid. Employing a qualitative case study of an impact investing organization operating in Sub-Saharan Africa, we illustrate how the construction and maintenance of hybrid categories can have potentially advantageous effects for certain actors by shaping the architecture of knowledge and transferring legitimacy to otherwise illegitimate actors or nascent practices. The findings of this study highlight how some hybrid categories can be used to create and maintain unequal relations of power.