Impact investing: a bibliometric analysis of scientific literature

Minimol M. C . Article Impact investing: a bibliometric analysis of scientific literature Cogent Business & Management Provided in Cooperation with: Taylor & Francis Group Suggested Citation: Minimol M. C . (2024) : Impact investing: a bibliometric analysis of scientific literature, Cogent Business & Management, ISSN 2331-1975, Taylor & Francis, Abingdon, Vol. 11, Iss. 1, pp. 1-11, https://doi.org/10.1080/23311975.2024.2377867 This Version is available at: https://hdl.handle.net/10419/326434 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. 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If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by/4.0/ Cogent Business & Management ISSN: 2331-1975 (Online) Journal homepage: www.tandfonline.com/journals/oabm20 Impact investing: a bibliometric analysis of scientific literature Minimol M C To cite this article: Minimol M C (2024) Impact investing: a bibliometric analysis of scientific literature, Cogent Business & Management, 11:1, 2377867, DOI: 10.1080/23311975.2024.2377867 To link to this article: https://doi.org/10.1080/23311975.2024.2377867 © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group Published online: 12 Jul 2024. Submit your article to this journal Article views: 1220 View related articles View Crossmark data Citing articles: 3 View citing articles Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=oabm20 ManageMent | Review aRticle Cogent Business & ManageMent 2024, VoL. 11, no. 1, 2377867 Impact investing: a bibliometric analysis of scientific literature Minimol M c associate Professor, Department of Commerce and international Business, Central university of Kerala, Kasaragod, india ABSTRACT the current study intends to understand the spectrum of existing scientific literature on impact investing, explore the publication credentials of that literature in the form of bibliometrics, and investigate the future scope for research in the area of impact investing. we have used the visualization tool vOSviewer to analyze the bibliometric data collected from the Scopus database. ‘Sustainable development’ was identified as the most used keyword in the documents, followed by ‘corporate social responsibility’, ‘investment’, and ‘environmental performance’. the United States was the leading contributing country followed by the UK, china, italy, canada, and india. Based on the systematic review of 753 journal articles, we have identified five distinct research areas in the field of impact investing. the top five research clusters are sustainable development research, sustainability research, corporate social responsibility research, Sustainable investment research, and environmental economics research. Our results revealed a dearth of focus among researchers in identifying impact investing either as a standalone concept or as a concept that drives better performance in organizations. Hence, we propose some promising areas of impact investing research. they are sustainable finance, firm performance, tourism, and climate change research. the output of this research has implications for researchers, practitioners, policymakers, and academia since it pinpoints the popular and promising clusters of research in the field of impact investing. Our study is unique and original in the sense that it covers a more comprehensive inclusion, and exclusion criteria as well as keyword combinations and thus, it provides better directions for future research in the field. Introduction Research on the topic of ‘impact investing’, particularly in the domain of finance, management and social sciences has gained momentum since 2015. the concept of impact investing is now the catchword in every business and investment firm. the term impact investing is conceived as an investment strategy that essentially contributes to social and environmental goals along with the economic goals of the firm. existing literature reveals that expert investors and female investors exhibit favorable attitudes towards impact investment options and tend to invest more in social funds (De amicis etal., 2020). according to the annual impact investor survey of the global impact investing network (giin), the market size of eSg investing has grown from US$ 502 billion in 2018 to US$ 715 billion in the year 2020 (the global impact investing network [giin], 2020). the survey also reported that ‘eSg investors intend to contribute to the industry through six areas of action like identity, behaviours and expectations products, tools and services, education and training, and policy and regulation over the next 5 years’. impact investing can be defined as a form of investment that is made into companies, organizations, and funds to generate social and environmental impact alongside a financial return’ (giin, 2016). Höchstädter and Scheck (2015) tried to understand the definitional, terminological, and strategic aspects of impact investing in published literature and pointed out the similarities and inconsistencies in definitions, terminologies and strategic aspects. islam (2021) offers a more up-to-date review of impact © 2024 the author(s). Published by informa uK Limited, trading as taylor & Francis group CONTACT Minimol M C [email protected]om Department of Commerce and international Business, Central university of Kerala, Kasaragod, india. https://doi.org/10.1080/23311975.2024.2377867 this is an open access article distributed under the terms of the Creative Commons attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. the terms on which this article has been published allow the posting of the accepted Manuscript in a repository by the author(s) or with their consent. ARTICLE HISTORY Received 17 February 2022 Revised 11 March 2024 accepted 1 July 2024 KEYWORDS impact investing; eSg investing; bibliometric analysis; Scopus; sustainable development; responsible investment; green investment REVIEWING EDITOR Huifen (Helen) cai, Middlesex University Business School, United Kingdom SUBJECTS Research methods in management; finance JEL Q01; Q56; g30, M14 2 M. M c investing; however, their research design is very different from ours, using a far more diffuse set of search terms, many of which are arguably at the edge of impact investing. Migliavacca etal. (2022) conducted a bibliometric review using a keyword search analysis of the elsevier Scopus database to map the academic contributions to impact investing and highlighted the most significant research streams and trends. they have analyzed 115 scholarly articles published between October 2021 and 2009 using visualization technique and suggested areas that require more investigation in the field. though, we have also used similar methodology of adopting the Scopus database for our investigation, we have included a wider spectrum of research articles spanning over 17 years from the year 2007 to 2024 in our bibliometric exploration and thus, we could cover 753 research articles in our systematic review. we have also tried to differentiate our study from the extant literature by using an all-encompassing list of keywords, and a more comprehensive inclusion and exclusion criteria for our investigation. Scopus database is used for this study since it covers a large number of journals in its scope. Moreover, the popularity of the Database among researchers across the world also motivated the researcher to adopt Scopus Database results for our study. the rest of the paper is presented as follows. Section two explains the research questions and objectives of the study, section three detailed the process and methodology followed for our bibliometric analysis, section four narrates the inclusion and exclusion criteria adopted, section five presents the results and discussion and section six provides the conclusion and implications of the study. Research questions and objectives Research questions and objectives play a significant role in determining the quality of evidence as well as the data that one can capture during the systematic review process (Harris et al 2018). Research questions for quantitative inquiries often resort to structured processes such as PicO (population, intervention, comparison, and outcome) model. However, according to cooke et al. (2012), qualitative inquiries often use an adapted version of this model, like SPice (Setting, perspective, intervention, comparison, evaluation), or SPiDeR (sample, phenomenon of interest, design, evaluation, research type), to better explain the research question under consideration. in the field of social sciences, the most popular model in systematic review is PRiSMa (Preferred Reporting items for Systematic Reviews and Meta-analysis). it is a checklist for authors to ensure that their systematic review is more transparent and complete (Moher etal., 2009). Following this argument, the author decided to adopt the PRiSMa model for this bibliometric analysis. the purpose of bibliometric analysis is not just an analysis of the existing literature, rather it should point out some research questions to be addressed by the future researchers and to provide them with various research streams (Patel & Siddiqui, 2023; Patel, Migliavacca, etal., 2022; Patel, goodell, etal., 2022). accordingly, the current study aims to address the following research questions: what is the popularly used scientific literature addressing the topic of impact investing? what are the key emerging research trends in impact investing? what are the key bibliometric credentials of literature on impact investing to date? and, what is the future scope for research in the area of impact investing? Inclusion and exclusion criteria to provide an overview of the scientific literature on impact investing, we have done a bibliometric analysis. to design the inclusion and exclusion criteria, we have used multiple filters during the data collection process. Primarily, only those studies captured in the Scopus database were considered for this study. literature from all the sources other than the Scopus database were excluded in the first stage. the second inclusion criterion applied was the type of publication. literature in the form of research articles alone was included in this analysis, while we have excluded other types of articles such as conference proceedings, book chapters, books, PhD theses, popular articles like newspaper articles, blogs, posts, social media reports, editorial, opinions, etc. another inclusion criterion applied in this study was the field of discipline where the literature is published. we have included only those literature from disciplines such as social sciences, business and management, finance, economics, and econometrics, and excluded literature available in science, engineering, environmental sciences, and medical fields. another cOgent BUSineSS & ManageMent 3 inclusion criterion used in the current study is the use of keywords. Only those studies with keywords such as impact investing, sustainable investing, green investing, and responsible investing were included in our literature review. Methodology to explore the future scope for research in the area of impact investing, we have used a bibliometric analysis. the concept of bibliometrics was first used by Pritchard (1969). the term bibliometrics refers to the application of statistical analysis to publication details such as citations, keywords, indexing etc. to attain the objectives of the current study we have used Scopus database of elsevier, which is the largest abstract and citation database. it provides a comprehensive database of peer-reviewed literature including journals, books and conference proceedings (elsevier, 2022). the researcher has followed the methodology of constantin-Marius (2020) to design the entire study. at first, we have selected the key words to be explored. we have used only those literature with the key words ‘eSg and investing or impact and investing or sustainable and investing or responsible and investing and or green and investing’ to retrieve the literature from the database. the sample was initially consisted of 7576 articles. we then filtered the data by using several criteria like year of publication, language of publication, disciplines etc., to limit the literature to a feasible set of data. Only those research papers published in english language were selected for our review. we have eliminated papers published in disciplines other than social science, business and management, finance, economics and econometrics from out review list. accordingly, we have selected 817 research papers published in journals included in the elsevier Scopus Database from the year 2007 to 2024. So the timeframe for this research is 17 years spanning from 2007 to 2024. the abstracts of these papers were critically examined by the researcher to decide whether to include or exclude them, depending on their relevance in the field of study, by looking at the content and keywords given in the abstracts. accordingly, the researcher has selected 753 published research papers from the list of 817 papers for full paper screening. again, the researcher critically evaluated the content quality of these papers by going through every article in the selected list. content quality is ensured by looking at various parameters like content in the introduction, theoretical framework, materials and methods, results discussion, and conclusion sections of the papers. the current study used science mapping which is popularly known as visualizing bibliometric networks, to analyze the document bibliometric obtained from the elsevier Scopus Database. we have used the vOSviewer software for constructing and visualizing bibliometric networks based on citations, bibliographic coupling, keyword occurrence as well as co-author relations. we have used the text mining functionality of vOSviewer software to visualize the keyword co-occurrence networks extracted from the literature. we have also used the functionalities of excel Spreadsheet for preparing the tables based on the citations and keyword occurrence in our study, apart from the figures representing the network visualizations. the process flow of methodology is given in Figure 1. Figure 1. Process flow of methodology. 4 M. M c Results and discussion the data were exported to an excel file and further analysis of the bibliometrics was done using Microsoft excel and vOSviewer. visualization of bibliometric networks has gained the attention of researchers since the beginning of bibliometric research. it offers a powerful way of analyzing different bibliometric networks including networks of citation relations between publications, networks of citation relations between journals, networks of co-authorship relations between researchers, and networks of co-occurrence relations between keywords (van eck & waltman, 2014). Preliminary analysis Since 2007, onwards if we analyze the documents per year by source, a maximum number of documents are available in the journal ‘Sustainability’ in the year 2021, followed by the Journal of Sustainable Finance and investment, ‘Journal of cleaner Production, and ‘Journal of Business ethics’ (Figure 2). the top 10 affiliating universities/institutions and the count of documents per institution is given in Figure 3. the University of cambridge is the top affiliating institution which published 11 articles in Scopus-indexed journals on the topic ‘impact investing’, followed by the University of Oxford with 10 documents and Rijksuniversiteit groningen with 9 documents on the topic (Figure 3). Documents by the contributing authors are given in Figure 4. the highest contribution came from Scholtens with 6 documents. islam contributed 5 articles on the topic, while 6 other authors contributed 4 documents each in the area. Figure 5 shows the results of documents by country of publication. the United States accounted for more than 169 documents, followed by the UK with contributions of 110 documents. china and italy accounted for 62 documents each, canada contributed 51 documents while india contributed 48 documents on impact investing. Figure 2. Documents per year by source. Figure 3. top 10 affiliating institutions. cOgent BUSineSS & ManageMent 5 Based on the subject area, it is revealed that most of the publications are from social sciences (23%), while business management and accounting accounted for almost 22% of the documents. nearly 19% of the publications are from economics and econometrics, while 12% are from environmental science. the other subjects covered are energy, engineering, computer science, arts and humanities, decision science, agricultural and biological sciences and others including psychology, medicine etc. (Figure 6). the top 10 sponsoring institutions are given in Figure 7. it includes the national natural Science Foundation, the european commission, the Social Science and Humanities Research council of canada, Fundacao Para a ciencia e a tecnologia, and the economic and Social Research council. Data visualization there are different approaches to visualizing bibliometric networks. the popularly used approaches are distance-based, graph-based, and timeline-based (van eck & waltman, 2014). circular visualizations Figure 4. Documents by author. Figure 5. Documents by country. Figure 6. Documents by subject area. 6 M. M c (Börner etal., 2012) and self-organizing maps (Skupin etal., 2013) are among the other approaches used for visualization of networks. in the distance–based approach, the distance between nodes is indicative of their relatedness. node locations are decided based on either the multi-dimensional scaling technique (Borg & groenen, 2005) or the vOS technique (van eck & waltman, 2010). visualization of bibliometric networks in the current study is done using vOSviewer software, which follows distance–based approach for visualization using the vOS (visualization Of Similarities) technique (van eck & waltman, 2014). a bibliometric network generally consists of nodes and edges. However, the vOS viewer presents only the nodes and does not present the edges between the nodes. the nodes can represent publications, journals, countries, researchers, or even keywords. Since vOSviewer follows a distance-based approach to the visualization of networks, it is more suitable for larger networks. the popular types of analysis include citation relations such as direct citation relations, co-citation relations (Small, 1973) and bibliographic coupling relations, keyword occurrence and co-occurrence relations, and co-author relations (van eck & waltman, 2014). Since these networks are weighted networks, they can be used to indicate not only the relation between two nodes but also to reveal the strength of that relation. the bigger the node of the network, the higher the number of representing the variable measured. the distance between two nodes in the network represents the strength of the relationship between them (frequently coming together in documents). Strongly related nodes are located close to each other while weakly related nodes are located far away from each other (van eck & waltman, 2014). in visualization networks in vOSviewer, nodes by default are assigned to clusters. clusters are sets of strongly associated nodes. every node in the network is assigned to one particular cluster, based on a resolution parameter. vOSviewer uses different colours in the network to identify the cluster to which each node is attached (van eck & waltman, 2014). From the visualization network representing country-wise citations we can conclude that, based on the number of citations, the United States comes first, followed by the UK, china, and italy (Figures 8 and 9). the distance between the nodes representing the UK and italy is very small, hence it is inferred that these countries often collaborate in their research on impact investing. the colour of the node indicates the average number of citations per year for publication from each country. when we look at the co-author country, it is evident that co-authorship is shared predominantly among italy, turkey, Russia, Poland, Ukraine, and australia. co-authorship is also shared among the netherlands, Kenya, iran, and Slovenia. collaboration exists between china, Malaysia, and Pakistan. UK collaborates in their research on eSg investing with Hungary, Peru, and egypt (Figure 10). the most occurring keywords are given in the following network (Figure 11). the most frequently occurring keywords include sustainable development, corporate social responsibility, sustainable investment, and environmental economics. this is indicative of the fact that the researchers generally perceive impact investing through the lens of sustainable developmental efforts or corporate social responsibility initiatives. it may also be interpreted as a lack of focus among researchers in identifying impact investing Figure 7. Documents by sponsor. cOgent BUSineSS & ManageMent 7 either as a standalone concept or as a concept that drives better performance in organizations. However, researchers across periods have given more focus on the concept of impact investing as a construct that meets the requirements of sustainable development, corporate social responsibility, and environmental performance. Figure 8. Country-wise citations (network visualization). Figure 9. Country-wise citations (overlay visualization). Figure 10. Co-authorship country-wise.