Green banking disclosure: A bibliometric analysis

Sa Nguyen Tran; Dao Thi Thieu Ha

doi:10.46223/HCMCOUJS.econ.en.15.1.3158.2025

15(1)2025

Green banking disclosure: A bibliometric analysis

Author - Affiliation:

Sa Nguyen Tran - Ho Chi Minh University of Banking, Ho Chi Minh City , Vietnam

Dao Thi Thieu Ha - Ho Chi Minh University of Banking, Ho Chi Minh City , Vietnam

Corresponding author: Dao Thi Thieu Ha - daohtt@hub.edu.vn

DOI:10.46223/HCMCOUJS.econ.en.15.1.3158.2025

Submitted: 02-01-2024
Accepted: 20-05-2024
Published: 21-07-2024

Abstract

This study uses a bibliometric approach to analyze the influence and productivity of research on green banking disclosure from 1993 to 2023. We utilize the Web of Science Core Collection database to gather the 112 articles, and Biblioshiny software to analyze and visualize bibliometric data to evaluate literature. Through utilizing co-citation, co-authorship, keyword co-occurrence, and science mapping, the results of the study show that the amount of papers published in the field of green banking disclosure has increased dramatically over the past seven years, as have the contributions of many authors, institutions from various countries, and collaboration between researchers from different institutions. The analysis results of the other criteria show that institutional theory, asymmetry information theory, and content analysis were used to study green banking disclosure, which is related to corporate social responsibility and sustainability. This thorough synthesis and analysis of green banking disclosure will add to the body of knowledge in this field by enhancing understanding of the subject and pointing out areas of research deficiency that require attention.

JEL codes

G19; G21; Q38

Keywords

bibliometric; co-authorship analysis; co-citation analysis; co-occurrence of keywords; green banking disclosure

Full Text:

PDF

Cite this paper as:

Tran, S. N., & Ha, D. T. T. (2025). Green banking disclosure: A bibliometric analysis. Ho Chi Minh City Open University Journal of Science – Economics and Business Administration, 15(1), 20-37. doi:10.46223/HCMCOUJS.econ.en.15.1.3158.2025

References

Altinay Ozdemir, M. A., & Goktas, L. S. (2021). Research trends on digital detox holiday: A bibliometric analysis, 2012 - 2020. Tourism & Management Studies, 17(3), 21-35.

Amirbagheri, K., Núñez-Carballosa, A., Guitart-Tarrés, L., & Merigó, J. M. (2018). Research on green supply chain: A bibliometric analysis. Clean Technologies and Environmental Policy, 21, 3-22.

Arar, T., & Yurdakul, G. (2023). Bibliometric review on the business management field. Scientific Annals of Economics and Business, 70(2), 301-334.

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.

Arslan, H. M., Ye, C., Komal, B., & Chen, S. (2023). Nexus between environmental disclosures and top management team characteristics: A systematic review. Environmental Science and Pollution Research, 30(4), 9763-9784.

Beattie, V., McInness, B., & Fearnley, S. (2004). A methodology for analyzing and evaluating narratives in annual reports: A comprehensive descriptive profile and metrics for disclosure quality attributes. Accounting Forum, 8(3), 205-236.

Blanco-Mesa, F., Merigó, J. M., & Gil-Lafuente, A. M. (2017). Fuzzy decision making: A bibliometric-based review. Journal of Intelligent & Fuzzy Systems, 32(3), 2033-2050.

Bontis, N., & Serenko, A. (2009). A follow-up ranking of academic journals. Journal of Knowledge Management, 13(1), 16-26.

Bornmann, L., Mutz, R., & Daniel, H. D. (2008). Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine. Journal of the American Society for Information Science and Technology, 59(5), 830-837.

Bose, S., Khan, H. Z., Rashid, A., & Islam, S. (2018). What drives green banking disclosure? An institutional and corporate governance perspective. Asia Pacific Journal of Management, 35(2), 501-527. https://doi.org/10.1007/s10490-017-9528-x

Broadus, R. (1987). Toward a definition of “bibliometrics”. Scientometrics, 12, 373-379.

Cancino, C., Merigó, J. M., Coronado, F., Dessouky, Y., & Dessouky, M. (2017). Forty years of computers and industrial engineering: A bibliometric analysis. Computers & Industrial Engineering, 113, 614-629.

Clarivate. (2023). Web of science group. https://Clarivate.Com/Webofsciencegroup/

Clarkson, M., Li, Y., Richardson, G. D., & Vasvari, F. P. (2008). Revisiting the relation between environmental performance and environmental disclosure: An empirical analysis. Accounting, Organizations and Society, 33(4), 303-327.

Diodato, V. (1994). Dictionary of bibliometrics. The Haworth Press.

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133(9), 285-296.

Donthu, N., Lim, W. M., Kumar, S., & Pattnaik, D. (2022). The journal of advertising’s production and dissemination of advertising knowledge: A 50th anniversary commemorative review. Journal of Advertising, 51(2), 153-187.

Dwekat, A., Seguí-Mas, E., & Tormo-Carbó, G. (2020). The effect of the board on corporate social responsibility: Bibliometric and social network analysis. Economic Research-Ekonomska Istrazivanja, 33(1), 3580-3603.

Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152.

Forliano, C., De-Bernardi, P., & Yahiaoui, D. (2021). Entrepreneurial universities: A bibliometric analysis within the business and management domains. Technological Forecasting and Social Change, 165(4), 1-16.

Franceschini, S., Faria, L. G. D., & Jurowetzki, R. (2016). Unveiling scientific communities about sustainability and innovation. A bibliometric journey around sustainable terms. Journal of Cleaner Production, 127(2), 72-83.

Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the USA, 102(46), 16569-16572.

Khan, H. Z., Bose, S., Sheehy, B., & Quazi, A. (2021). Green banking disclosure, firm value and the moderating role of a contextual factor: Evidence from a distinctive regulatory setting. Business Strategy and the Environment, 30(8), 3651-3670. https://doi.org/10.1002/bse.2832

Koseoglu, M. A. (2016). Bibliometric studies in tourism. Annals of Tourism Research, 61(C), 180-198.

Koseoglu, M. A., Yıldız, M., Putra, E. D., & Cıftcı, T. (2019). Co-authorship networks in business ethics: A longitudinal study. Journal of Scientometric Research, 7(3), 201-209.

Kumar, R., & Goel, P. (2021). Exploring the domain of Interpretive Structural Modelling (ISM) for sustainable future panorama: A bibliometric and content analysis. Archives of Computational Methods in Engineering, 29(8), 2781-2810.

Laengle, S., Modak, N. M., Merigo, J. M., & Zurita, G. (2018). Twenty-five years of group decision and negotiation: A bibliometric overview. Group Decision and Negotiation, 27(2), 505-542.

Li, K., Rollins, J., & Yan, E. (2018). Web of science use in published research and review papers 1997 - 2017: A selective, dynamic, cross-domain, content-based analysis. Scientometrics, 115(1), 1-20.

Lin, A. J., Hsu, C. L., & Chiang, C. H. (2016). Bibliometric study of electronic commerce research in information systems & MIS journals. Scientometrics, 109(3), 1455-1476.

Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: A bibliometric analysis. European Journal of Marketing, 52(1/2), 439-468.

McKenzie, G., & Wolfe, S. (2004). The impact of environmental risk on the UK banking sector. Applied Financial Economics, 14(14), 1005-1016.

Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48.

Merigó, J. M., Cancino, C. A., Coronado, F., & Urbano, D. (2016). Academic research in innovation: A country analysis. Scientometrics, 108, 559-593.

Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015). An overview of fuzzy research with bibliometric indicators. Applied Soft Computing, 27, 420-433.

Merigó, J. M., Pedrycz, W., Weber, R., & Sotta, C. (2018). Fifty years of information sciences: A bibliometric overview. Information Science, 432, 245-268.

Merigó-Lindahl, J. M. (2012). Bibliometric analysis of business and economics in the Web of Science. In A. Gil-Lafuente, J. Gil-Lafuente, & J. Merigó-Lindahl (Eds.), Soft computing in management and business economics (Vol. 2, pp. 3-17). Springer.

Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de La Información, 29(1), 1-20.

Moussa, S., & Touzani, M. (2010). Ranking marketing journals using the Google Scholar-based hg- index. Journal of Informetrics, 4(1), 107-117.

Mukherjee, D., Lim, W. M., Kumar, S., & Donthu, N. (2022). Guidelines for advancing theory and practice through bibliometric research. Journal of Business Research, 148, 101-115.

Peng, B., Yan, W., Elahi, E., & Wan, A. (2022). Does the green credit policy affect the scale of corporate debt financing? Evidence from listed companies in heavy pollution industries in China. Environmental Science and Pollution Research, 29(1), 755-767.

Perbankan, P. (2022). Determinasi faktor yang mempengaruhinilai perusahaan pada perusahaan perbankan. Jurnal Ekonomi Trisakti, 2(2), 1401-1410. https://doi.org/10.25105/jet.v2i2.14775

Pilkington, A., & Meredith, J. (2009). The evolution of the intellectual structure of operations management - 1980 - 2006: A citation/co-citation analysis. Journal of Operations Management, 27(3), 185-202.

Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal Documentation, 25(4), 348-349.

Saini, G. K., Lievens, F., & Srivastava, M. (2022). Employer and internal branding research: A bibliometric analysis of 25 years. Journal of Product and Brand Management, 31(8), 1196-1221.

Scholtens, B. (2009). Corporate social responsibility in the international banking industry. Journal of Business Ethics, 86(2), 159-175. https://doi.org/10.1007/s10551-008-9841-x

Seguí-Mas, E., Jiménez-Arribas, I., & Tormo-Carbó, G. (2019). Does the environment matter? Mapping academic knowledge on entrepreneurial ecosystems in GEM. Entrepreneurship Research Journal, 9(2), 1-19.

Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269.

Suborna, B. (2020). Principles of green banking. Deutsche Nationalbibiothek.

United Nations. (2023). Ban at COP21: We have chance ‘to define our own destiny’. https://www.un.org/sustainabledevelopment/blog/2015/12/Ban-at-Cop21-We-Have-Chance-to-Define-Our-Own-Destiny/

Walters, W. H. (2007). Google Scholar coverage of a multidisciplinary field. Information Processing & Management, 43(4), 1121-1132.

Weber, O. (2012). Environmental credit risk management in banks and financial service institutions. Business Strategy and the Environment, 21(4), 248-263.

Weber, O. (2017). Corporate sustainability and financial performance of Chinese banks. Sustainability Accounting, Management and Policy Journal, 8(3), 358-385.

White, HD., & McCain, K. (1989). Bibliometrics. Annual Review on Information Science and Technology, 24, 119-186.

Wijayanti, A., & Dondoan, G. A. (2022). Pengaruh penerapan green accounting dan corporate social responsibility Terhadap firm value dengan kinerja perusahaan sebagai variabel intervening. Jurnal Akuntansi Manajerial (Managerial Accounting Journal), 7(1), 62-85. https://doi.org/10.52447/jam.v7i1.5977

Wu, M. W., & Shen, C. H. (2013). Corporate social responsibility in the banking industry: Motives and financial performance. Journal of Banking & Finance, 37(9), 3529-3547. https://doi.org/10.1016/j.jbankfin.2013.04.023

Xing, C., Zhang, Y., & Tripe, D. (2021). Green credit policy and corporate access to bank loans in China: The role of environmental disclosure and green innovation. International Review of Financial Analysis, 77, Article 101838.

Zhang, F., Wang, H., Bai, Y., & Zhang, H. (2022). A bibliometric analysis of the landscape of problem- based learning research (1981 - 2021). Frontiers in Psychology, 13, 1-10.

Zhu, J., & Hua, W. (2017). Visualising the knowledge domain of sustainable development research between 1987 and 2015: A bibliometric analysis. Scientometrics, 110(2), 893-914.

DOI: https://doi.org/10.46223/HCMCOUJS.econ.en.15.1.3158.2025