Sustainable disclosures of polish banks – text mining analysis

Białek-Szkudlarek, Martyna

dc.contributor.author	Białek-Szkudlarek, Martyna
dc.date.accessioned	2025-04-09T07:08:41Z
dc.date.available	2025-04-09T07:08:41Z
dc.date.issued	2025-03-31
dc.identifier.issn	2391-6478
dc.identifier.uri	http://hdl.handle.net/11089/55316
dc.description.abstract	The purpose of the article. Sustainability development issues, particularly Environmental, Social, and Governance (ESG) factors, are becoming increasingly relevant in corporate reporting, driven by rising environmental awareness and regulatory requirements. The aim of the study is the evaluation of ESG disclosures of selected Polish banks. The aim of the paper fills a gap in the Polish academic literature in economics and finance by analyzing the volume and size of non-financial ESG disclosures through computer text mining techniques.Methodology. This study applies text mining techniques to evaluate the ESG volume and size from 107 financial reports issued by Polish banks between 2006 and 2023. For this purpose, selected tools for computer-based analysis of textual data (text mining) are used. The primary methods include the emotional attitude (sentiment), analysis of the number of words regarding ESG, and analysis of the readability of ESG volume and size contained in company reports.Results of the research. The study reveals that ESG excerpts are more neutral or less optimistic compared to integrated reports, which tend to have a more positive tone. Additionally, sustainability disclosures are written in a complex language, and the volume of these reports has been increasing over time, likely due to new regulations and growing awareness of sustainability issues. The study focuses on Polish banks but suggests expanding future research to other sectors.	en
dc.language.iso	en
dc.publisher	Wydawnictwo Uniwersytetu Łódzkiego	pl
dc.relation.ispartofseries	Journal of Finance and Financial Law;45	en
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	sustainability reporting	en
dc.subject	ESG disclosures	en
dc.subject	text mining	en
dc.subject	sentiment analysis	en
dc.subject	readability index	en
dc.subject	Polish banking sector	en
dc.title	Sustainable disclosures of polish banks – text mining analysis	en
dc.type	Article
dc.page.number	73-91
dc.contributor.authorAffiliation	Instytut Ekspertyz Ekonomicznych i Finansowych w Łodzi	en
dc.identifier.eissn	2353-5601
dc.references	Abate, G., Basile, I., & Ferrari, P. (2021). The level of sustainability and mutual fund performance in Europe: An empirical analysis using ESG ratings. Corporate Social Responsibility and Environmental Management, 28(5).	en
dc.references	AA1000 AccountAbility Principles. (n.d.). https://www.accountability.org/standards/aa1000-accountability-principles	en
dc.references	Adhariani, D., & Du Toit, E. (2020). Readability of sustainability reports: Evidence from Indonesia. Journal of Accounting in Emerging Economies, 10(4), 621–636. https://doi.org/10.1108/jaee-10-2019-0194	en
dc.references	Aerts, W., & Cormier, D. (2008). Media legitimacy and corporate environmental communication. Accounting, Organizations and Society, 34(1), 1–27. https://doi.org/10.1016/j.aos.2008.02.005	en
dc.references	Albuquerque, R., Koskinen, Y., & Zhang, C. (2019). Corporate social responsibility and firm risk: Theory and empirical evidence. Management Science, 65(10).	en
dc.references	Antweiler, W., & Frank, M. Z. (2004). Is all that talk just noise? The information content of internet stock message boards. The Journal of Finance, 59(3).	en
dc.references	Aureli, S., Medei, R., Supino, E., & Travaglini, C. (2016). Sustainability disclosure after a crisis. International Journal of Social Ecology and Sustainable Development, 7(1), 35–49. https://doi.org/10.4018/ijsesd.2016010102	en
dc.references	Baborska, B. (1999). The concept of sustainable agriculture: Some theoretical and practical issues. Argumenta Oeconomica, 2(8).	en
dc.references	Baj-Rogowska, A. (2019). Analiza sentymentu jako narzędzie monitorowania wyników finansowych przedsiębiorstwa. Przedsiębiorczość i Zarządzanie, 20(12.1).	en
dc.references	Balicka, A. (2014). Informacje środowiskowe w raportach rocznych przedsiębiorstw branży motoryzacyjnej. Zeszyty Naukowe Uniwersytetu Szczecińskiego. Finanse, Rynki Finansowe, Ubezpieczenia, 69.	en
dc.references	Baranowski, P., Doryń, W., Łyziak, T., & Stanisławska, E. (2021a). Words and deeds in managing expectations: Empirical evidence from an inflation targeting economy. Economic Modelling, 95, 49–67. https://doi.org/10.1016/j.econmod.2020.12.003	en
dc.references	Baranowski, P., Bennani, H., & Doryń, W. (2021b). Do the ECB’s introductory statements help predict monetary policy? Evidence from a tone analysis. European Journal of Political Economy, 66.	en
dc.references	Berg, F., Kölbel, J. F., & Rigobon, R. (2022). Aggregate confusion: The divergence of ESG ratings. Review of Finance, 26(6).	en
dc.references	Bhatore, S., Mohan, L., & Reddy, Y. R. (2020). Machine learning techniques for credit risk evaluation: A systematic literature review. Journal of Banking and Financial Technology, 4(1).	en
dc.references	Billio, M., Costola, M., Hristova, I., Latino, C., & Pelizzon, L. (2021). Inside the ESG ratings: (Dis)agreement and performance. Corporate Social Responsibility and Environmental Management, 28(5), 1426–1445. https://doi.org/10.1002/csr.2177	en
dc.references	Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1).	en
dc.references	Broda, B., Niton, B., Gruszczynski, W., & Ogrodniczuk, M. (2014). Measuring readability of Polish texts: Baseline experiments. In LREC (Vol. 24, pp. 573–580).	en
dc.references	Cao, L., & Tay, F. E. H. (2001). Financial forecasting using support vector machines. Neural Computing & Applications, 10(2).	en
dc.references	Charlin, V., Cifuentes, A., & Alfaro, J. (2022). ESG ratings: An industry in need of a major overhaul. Journal of Sustainable Finance & Investment [Preprint].	en
dc.references	Cho, C. H., & Patten, D. M. (2006). The role of environmental disclosures as tools of legitimacy: A research note. Accounting, Organizations and Society, 32(7–8), 639–647. https://doi.org/10.1016/j.aos.2006.09.009	en
dc.references	Delevingne, L., Gründler, A., Kane, S., & Koller, T. (2020, February 12). The ESG premium: New perspectives on value and performance. Insights on Sustainability.	en
dc.references	Directive 2014/95/EU of the European Parliament and of the Council of 22 October 2014 amending Directive 2013/34/EU as regards disclosure of non-financial and diversity information by certain large undertakings and groups.	en
dc.references	Dornadula, V. N., & Geetha, S. (2019). Credit card fraud detection using machine learning algorithms. Procedia Computer Science, 165.	en
dc.references	DuBay, W. H. (2004). The principles of readability. Impact Information.	en
dc.references	Dyllick, T., & Hockerts, K. (2002). Beyond the business case for corporate sustainability. Business Strategy and the Environment, 11(2).	en
dc.references	Escrig-Olmedo, E., Fernández-Izquierdo, M. Á., Ferrero-Ferrero, I., Rivera-Lirio, J. M., & Muñoz-Torres, M. J. (2019). Rating the Raters: Evaluating how ESG Rating Agencies Integrate Sustainability Principles. Sustainability, 11(3), 915. https://doi.org/10.3390/su11030915	en
dc.references	European Environment Agency. (2024). Europe’s air quality status 2024. https://www.eea.europa.eu/publications/europes-air-quality-status-2024/europes-air-quality-status-2024	en
dc.references	Feldman, R., & Sanger, J. (2007). The text mining handbook: Advanced approaches in analyzing unstructured data. Cambridge University Press.	en
dc.references	Funk, C., Tönjes, E., & Haas, C. (2024). Exploring the predictive capacity of ESG sentiment on official ratings: A few-shot learning perspective. MAGKS Joint Discussion Paper Series in Economics, 12-2024.	en
dc.references	Gajdka, J., Brzeszczyński, J., Marcinkowska, M., & Kulińska-Sadłocha, E. (2024). Aspekty ESG w działalności banków w Polsce – rozwój, stan obecny, perspektywy. PAB/WIB 1/2024.	en
dc.references	Gentzkow, M., Kelly, B., & Taddy, M. (2019). Text as data. Journal of Economic Literature, 57(3).	en
dc.references	Gillan, S. L., Koch, A., & Starks, L. T. (2021). Firms and social responsibility: A review of ESG and CSR research in corporate finance. Journal of Corporate Finance, 66.	en
dc.references	Gray, R., Owen, D., & Maunders, K. T. (1987). Corporate social reporting: Accounting and accountability. Prentice-Hall International.	en
dc.references	Hackston, D., & Milne, M. J. (1996). Some determinants of social and environmental disclosures in New Zealand companies. Accounting, Auditing &; Accountability Journal, 9(1).	en
dc.references	Hotho, A., Nürnberger, A., & Paaß, G. (2005). A brief survey of Text Mining. Journal for Language Technology and Computational Linguistics, 20(1).	en
dc.references	Hristov, I., & Searcy, C. (2024). Integrating sustainability with corporate governance: A framework to implement the Corporate Sustainability Reporting Directive through a balanced scorecard. Management Decision.	en
dc.references	Huang, X., Hong Theo, S., & Zhang, Y. (2014). Tone Management. The Accounting Review, 89(3).	en
dc.references	International Organization for Standardization. (2024). ISO 26000:2010 – Guidance on social responsibility. https://www.iso.org/standard/42546.html	en
dc.references	IUCN. (1980). World conservation strategy: Living resource conservation for sustainable development.	en
dc.references	Iwińska-Knop, K., & Krystyańczuk, H. (2016). Wykorzystanie Big Data w badaniu wizerunku marki w świadomości konsumentów. Ekonomika i Organizacja Przedsiębiorstwa, 9, 28–42.	en
dc.references	Janicka, M., & Miziołek, T. (2022). Finanse zrównoważone: ESG–Przedsiębiorstwa–Sektor finansowy. Polskie Wydawnictwo Ekonomiczne.	en
dc.references	Jędrzejka, D. (2014). Ujawnienia ESG polskich spółek giełdowych w świetle wyników badań. Studia Ekonomiczne, 186, 13–26.	en
dc.references	Kiliç, M., Kuzey, C., & Uyar, A. (2015). The impact of ownership and board structure on corporate social responsibility (CSR) reporting in the Turkish banking industry. Corporate Governance, 15(3), 357–374.	en
dc.references	Klimczak, K. M., & Dynel, M. (2016). Linguistic attributes of equity analysts’ reports. Financial Sciences, 1(26), 9–19.	en
dc.references	Klimczak, K. M., Hadro, D., & Meyer, M. (2023). Executive communication with stakeholders on sustainability: The case of Poland. Accounting in Europe, 20(3), 305–331.	en
dc.references	Kocoń, J., Miłkowski, P., & Zaśko-Zielińska, M. (2019, November). Multi-level sentiment analysis of PolEmo 2.0: Extended corpus of multi-domain consumer reviews. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) (pp. 135–146).	en
dc.references	Korniichuk, R., & Simiński, R. (2017). Wspomaganie prognozowania wpływu tekstów reklamowych z wykorzystaniem systemu Promovot. Studia Informatica, 38(2), 57–69.	en
dc.references	Kosztowniak, A. (2024). The impact of ESG regulations and taxonomy on the credit process in commercial banks. Finanse i Prawo Finansowe, 2(42), 78–95.	en
dc.references	Kotsantonis, S., & Serafeim, G. (2019). Four things no one will tell you about ESG data. Journal of Applied Corporate Finance, 31(2), 50–58.	en
dc.references	Koyuncugil, A. S., & Ozgulbas, N. (2012). Financial early warning system model and data mining application for risk detection. Expert Systems with Applications, 39(6), 6238–6253. https://doi.org/[DOI]	en
dc.references	KPMG Poland. (2022). ESG w wycenie przedsiębiorstw. https://kpmg.com/pl/pl/home/insights/2022/08/esg-w-wycenie-przedsiebiorstw.html	en
dc.references	Kryk, B. (2017). Informacje środowiskowe w sprawozdaniach z działalności. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, (479), 108–117.	en
dc.references	Krzysztofek, A. (2016). Dyrektywa 2014/95/UE oraz wynikające z niej zmiany / Directive 2014/95/EU, and changes resulting from it. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 450, 89–101.	en
dc.references	Lament, M. (2017). Raportowanie informacji niefinansowych w zakładach ubezpieczeń w Polsce. Zeszyty Teoretyczne Rachunkowości, 91, 45–63.	en
dc.references	Landi, G. C., Iandolo, F., Renzi, A., & Rey, A. (2022). Embedding sustainability in risk management: The impact of environmental, social, and governance ratings on corporate financial risk. Corporate Social Responsibility and Environmental Management, 29(4).	en
dc.references	Landi, G., & Sciarelli, M. (2019). Towards a more ethical market: The impact of ESG rating on corporate financial performance. Social Responsibility Journal, 15(1).	en
dc.references	Liu, B. (2010). Sentiment analysis and subjectivity. In N. Indurkhya & F. J. Damerau (Eds.), Handbook of Natural Language Processing (2nd ed., pp. 1–38). Chapman and Hall/CRC.	en
dc.references	Łopacińska, L., & Wnuk, U. (2014). Analiza indeksu mglistości tekstu w raportach ewaluacyjnych strategicznych programów badawczych w obszarze innowacji technicznych. e-mentor, 5(57), 45–53.	en
dc.references	Kaźmierczak, M. (2022). A literature review on the difference between CSR and ESG. Scientific Papers of Silesian University of Technology, Organization and Management Series, 2022(162), 275–289. https://doi.org/10.29119/1641-3466.2022.162.16	en
dc.references	Majchrzak, I., & Nadolna, B. (2020). Environmental information in the consolidated financial statements of selected energy companies in Poland – a comparative analysis. Zeszyty Teoretyczne Rachunkowości, 110(166), 89–107.	en
dc.references	Meler, A. (2023). Parlamentarne ćwierkanie o pandemii. Analiza sentymentu tweetów parlamentarzystów publikowanych podczas pierwszych 12 miesięcy pandemii koronawirusa w Polsce. Studia Socjologiczne, 2(245), 57–82.	en
dc.references	Miralles-Quirós, M. M., Miralles-Quirós, J. L., & Redondo Hernández, J. (2019). ESG performance and shareholder value creation in the banking industry: International differences. Sustainability, 11(5), 1405.	en
dc.references	Mroczkowski, R., Rybak, P., Wróblewska, A., & Gawlik, I. (2021). HerBERT: Efficiently pretrained transformer-based language model for Polish. In Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing (BSNLP) (pp. 120–134).	en
dc.references	Nugroho, D. P. D., Hsu, Y., Hartauer, C., & Hartauer, A. (2024). Investigating the interconnection between environmental, social, and governance (ESG), and corporate social responsibility (CSR) strategies: An examination of the influence on consumer behavior. Sustainability, 16(2), 3421. https://doi.org/10.3390/su16020614	en
dc.references	Othman, I. W., Hasan, H., Tapsir, R., Rahman, N. A., Tarmuji, I., Majdi, S., Masuri, S. A., & Omar, N. (2012). Text readability and fraud detection. 2012 IEEE Symposium on Business, Engineering and Industrial Applications, 72–77.	en
dc.references	Peng, Y., Wang, G., Kou, G., & Shi, Y. (2011). An empirical study of classification algorithm evaluation for financial risk prediction. Applied Soft Computing, 11(2), 2906–2915. https://doi.org/10.1016/j.asoc.2010.11.028	en
dc.references	Primec, A., & Belak, J. (2022). Sustainable CSR: Legal and managerial demands of the new EU legislation (CSRD) for the future corporate governance practices. Sustainability, 14(24), 16530	en
dc.references	Rostek, K., & Młodzianowski, D. (2017). Współzależność informacji sieciowych oraz zmian indeksów zachodzących na Giełdzie Papierów Wartościowych w Warszawie. Zeszyty Naukowe Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach, 42(115), 89–104.	en
dc.references	Ruggerio, C. A. (2021). Sustainability and sustainable development: A review of principles and definitions. Science of The Total Environment, 786. https://doi.org/10.1016/j.scitotenv.2021.147481	en
dc.references	Rybiński, K. (2020). The forecasting power of the multi-language narrative of sell-side research: A machine learning evaluation. Finance Research Letters, 34. https://doi.org/10.1016/j.frl.2019.08.009	en
dc.references	Samonas, M. (2015). Financial forecasting, analysis, and modelling: A framework for long-term forecasting. John Wiley & Sons.	en
dc.references	Senave, E., Jans, M. J., & Srivastava, R. P. (2023). The application of text mining in accounting. International Journal of Accounting Information Systems, 50. https://doi.org/10.1016/j.accinf.2023.100624	en
dc.references	Sheffield, P. E., & Landrigan, P. J. (2010). Global climate change and children’s health: Threats and strategies for prevention. Environmental Health Perspectives, 119(3), 291–298. https://doi.org/10.1289/ehp.1002233	en
dc.references	Smeuninx, N., De Clerck, B., & Aerts, W. (2016). Measuring the readability of sustainability reports: A corpus-based analysis through standard formulae and NLP. International Journal of Business Communication, 57(1), 52–81. https://doi.org/10.1177/2329488416675456	en
dc.references	Social Accountability International. (2024). SA8000 Standard. https://sa-intl.org/programs/sa8000/	en
dc.references	Suchman, M. C. (1995). Managing legitimacy: Strategic and institutional approaches. Academy of Management Review, 20(3), 571. https://doi.org/10.2307/258788	en
dc.references	Tetlock, P. C. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance, 62(3).	en
dc.references	Thuiller, W., Lavorel, S., Araújo, M. B., Sykes, M. T., & Prentice, I. C. (2005). Climate change threats to plant diversity in Europe. Proceedings of the National Academy of Sciences, 102(23), 8245–8250. https://doi.org/10.1073/pnas.0409902102	en
dc.references	Trocka, M. (2023). Raportowanie informacji związanych z klimatem na przykładzie banków. Ruch Prawniczy, Ekonomiczny i Socjologiczny, 85(2). https://doi.org/10.14746/rpeis.2023.85.2.15	en
dc.references	UNIDO. (n.d.). What is CSR? United Nations Industrial Development Organization. https://www.unido.org/our-focus-advancing-economic-competitiveness-competitive-trade-capacities-and-corporate-responsibility-corporate-social-responsibility-market-integration/what-csr	en
dc.references	Wilkinson, A., Hill, M., & Gollan, P. (2001). The sustainability debate. International Journal of Operations & Production Management, 21(12).	en
dc.references	Wójcik-Jurkiewicz, M. (2020). Non-financial reporting of banks from a socially responsible perspective – examples from wig-ESG. Zeszyty Teoretyczne Rachunkowości, 108(164).	en
dc.references	World Commission on Environment and Development. (1987). Our common future. Oxford University Press.	en
dc.references	Wypych, M. (2018). Efektywność inwestycji w spółki społecznie odpowiedzialne. Przedsiębiorczość i Zarządzanie, 19(10, cz. 1), 553–569.	en
dc.references	Xing, F. Z., Cambria, E., & Welsch, R. E. (2017). Natural language-based financial forecasting: A survey. Artificial Intelligence Review, 50(1), 49–73. https://doi.org/10.1007/s10462-017-9588-9	en
dc.references	Yoon, J., Han, S., Lee, Y., & Hwang, H. (2023). Text mining analysis of ESG management reports in South Korea: Comparison with Sustainable Development Goals. SAGE Open, 13(4). https://doi.org/10.1177/21582440231202896	en
dc.references	Zou, X., Jiang, J., Zhang, H., & He, H. (2024). ESG performance, media coverage, and brand value. Asia Pacific Journal of Marketing and Logistics, 37(4). https://doi.org/10.1108/APJML-04-2024-0441	en
dc.references	Zumente, I., & Bistrova, J. (2021). ESG importance for long-term shareholder value creation: Literature vs. practice. Journal of Open Innovation: Technology, Market, and Complexity, 7(2). https://doi.org/10.3390/joitmc7020127	en
dc.contributor.authorEmail	martyna.bialek25@wp.pl
dc.identifier.doi	10.18778/2391-6478.1.45.04
dc.relation.volume	1

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