A Text-Mining Approach to the Evaluation of Sustainability Reporting Practices: Evidence from a Cross-Country Study

Ajay Kumar


Department of Management Studies, Indian Institute of Technology (ISM) Dhanbad, Jharkhand-826004 (India)
https://orcid.org/0000-0003-2448-8322

Niladri Das


Department of Management Studies, Indian Institute of Technology (ISM) Dhanbad, Jharkhand-826004 (India)

Abstract

This study examines the sustainability reports (SRs)of 200 firms in both developed and emerging economies in order to identify the words most frequently used in disclosing sustainability practices within the Triple Bottom Line (TBL) approach to reporting (which emphasizes economic, environmental, and social dimensions). Its aim is to evaluate these sustainability reports under the umbrella of the GRI framework. It adopts a semi-automated Text-Mining (TM) technique to evaluate the corporate SRs of select firms from the top ten economies by GDP at current prices. Based on the GRI Standards guidelines, a total of 208 keywords were identified for analysis. The disclosures were then awarded points based on the appearance of these keywords so that the appearance of one resulted in the awarding of a score of one; if a keyword did not appear then the report was scored a zero for that word. Furthermore, a wordcloud was also generated in order to better understand the inclination of reporting language towards various TBL reporting categories. This analysis of the SRs of 200 firms from the top ten economies of the world sheds light on the differences in reporting practices and priorities as they relate to various aspects of the GRI Standards guidelines. The results indicate that SR practices have grown rapidly in the last half decade of the period selected for study (2013-2017) as compared to the first half (2008-2012). Canada ranked highest for its disclosure practices in this analysis followed by the UK, Germany, US, Japan, France, Italy, Brazil, India, and China. This study found that all included countries improved their sustainability performance over the period 2008-2017.


Keywords:

sustainability reporting, GRI, CSR, top ten economies, text-mining, wordcloud

ARENA C., LIONG R., VOURVACHIS P., 2018, Carrot or stick: CSR disclosures by Southeast Asian companies, in: Sustainability Accounting, Management and Policy Journal, 9(4), p. 422-454.
DOI: https://doi.org/10.1108/SAMPJ-06-2016-0037   Google Scholar

BALASUBRAMANIAM N.K., KIMBER D., SIEMENSMA F., 2005, Emerging opportunities or traditions reinforced? An analysis of the attitudes towards CSR, and trends of thinking about CSR India, in: Journal of Corporate Citizenship, 17, p. 79-92.
DOI: https://doi.org/10.9774/GLEAF.4700.2005.sp.00010   Google Scholar

BAUGHN C., BODIE N., MCINTOSH J., 2007, Corporate social and environmental responsibility in Asian countries and other geographical regions, in: Corporate Social Responsibility and Environmental Management, 14(4), p. 189-205.
DOI: https://doi.org/10.1002/csr.160   Google Scholar

BEATTIE V., 2014, Accounting narratives and the narrative turn in accounting research: Issues, theory, methodology, methods and a research framework, in: The British Accounting Review, 46, p. 111–34.
DOI: https://doi.org/10.1016/j.bar.2014.05.001   Google Scholar

BJØRN A., BEY N., GEORG S., RØPKE I., HAUSCHILD M.Z., 2017, Is Earth recognized as a finite system in corporate responsibility reporting?, in: Journal of Cleaner Production, 163, p. 106-117.
DOI: https://doi.org/10.1016/j.jclepro.2015.12.095   Google Scholar

BLEI D.M., NG A.Y., JORDAN M.I., 2003, Latent dirichlet allocation, in: Journal of machine Learning research, 3, p. 993-1022.
  Google Scholar

CHAPPLE W., MOON J., 2005, Corporate social responsibility (CSR) in Asia: A seven-country study of CSR web site reporting, in: Business & society, 44(4), p. 415-441.
DOI: https://doi.org/10.1177/0007650305281658   Google Scholar

CHO C.H., MICHELON G., PATTEN D.M., 2012, Enhancement and obfuscation through the use of graphs in sustainability reports: An international comparison, in: Sustainability Accounting, Management and Policy Journal, 3(1), p. 74-88.
DOI: https://doi.org/10.1108/20408021211223561   Google Scholar

CRAIN S.P., ZHOU K., YANG S.H., ZHA H., 2012, Dimensionality reduction and topic modeling: From latent semantic indexing to latent dirichlet allocation and beyond, in: Mining text data, Springer, Boston, MA, p. 129-161.
DOI: https://doi.org/10.1007/978-1-4614-3223-4_5   Google Scholar

CRAWFORD CAMICIOTTOLI B., 2010, Earnings calls: Exploring an emerging financial reporting genre, in: Discourse & Communication, 4(4), p. 343-359.
DOI: https://doi.org/10.1177/1750481310381681   Google Scholar

DEEGAN M., SHORT H., ARCHER D., BAKER P., MCENERY T., RAYSON P., 2004, Computational linguistics meets metadata, or the automatic extraction of key words from full text content, in: RLG Diginews, 8(2).
  Google Scholar

DFAIT 2009, Mining materials, https://www.nrcan.gc.ca/mining-materials/publications/8776 (12.05.2018).
  Google Scholar

ELKINGTON J., 1994, Towards the sustainable corporation: Win-win-win business strategies for sustainable development, in: California management review, 36(2), p. 90-100.
DOI: https://doi.org/10.2307/41165746   Google Scholar

FIFKA M., 2012, The development and state of research on social and environmental reporting in global comparison, in: Journal für Betriebswirtschaft, 62(1), p. 45-84.
DOI: https://doi.org/10.1007/s11301-012-0083-8   Google Scholar

FREUNDLIEB M., TEUTEBERG F., 2013, Corporate social responsibility reporting-a transnational analysis of online corporate social responsibility reports by market-listed companies: contents and their evolution, in: International Journal of Innovation and Sustainable Development, 7(1), p. 1-26.
DOI: https://doi.org/10.1504/IJISD.2013.052117   Google Scholar

FRIEDLIN J., MAHOUI M., JONES J., JAMIESON P., 2011, Knowledge discovery and data mining of free text radiology reports, in: Healthcare Informatics, Imaging and Systems Biology (HISB), 2011 First IEEE International Conference on, p. 89-96.
DOI: https://doi.org/10.1109/HISB.2011.31   Google Scholar

GRI, 2016, 20 years on – is sustainability reporting actually making a difference, https://www.globalreporting.org/information/news-and-press-center/Pages/20-years-on-Is-sustainability-reporting-actually-making-a-difference.aspx (11.05. 2018).
  Google Scholar

GRI, 2018, Global reporting, http://database.globalreporting.org/search/ (10.05.2018).
  Google Scholar

HEDBERG C.J., VON MALMBORG F., 2003, The global reporting initiative and corporate sustainability reporting in Swedish companies, in: Corporate social responsibility and environmental management, 10(3), p. 153-164.
DOI: https://doi.org/10.1002/csr.38   Google Scholar

IPCC 1996, Second assessment on climate change, International panel on climate change, Cambridge University Press: Cambridge.
  Google Scholar

JAWORSKA S., NANDA A., 2016, Doing well by talking good: A topic modelling-assisted discourse study of corporate social responsibility, in: Applied Linguistics, 39(3), p. 373-399.
DOI: https://doi.org/10.1093/applin/amw014   Google Scholar

KAYGUSUZ K., 2009, Energy and environment issues relating to greenhouse gas emissions for sustainable development in Turkey, in: Renewable and Sustainable Energy Reviews, 13, p. 253-270.
DOI: https://doi.org/10.1016/j.rser.2007.07.009   Google Scholar

KOLK A., 2004, A decade of sustainability reporting: developments and significance, in: International Journal of Environment and Sustainable Development, 3(1), p. 51-64.
DOI: https://doi.org/10.1504/IJESD.2004.004688   Google Scholar

KOLLER V., HARDIE A., RAYSON P., SEMINO E., 2008, Using a semantic annotation tool for the analysis of metaphor in discourse, in: Metaphorik. de, 15(1), p. 141-160.
  Google Scholar

KPMG 2016, CSR survey, https://assets.kpmcg.com/content/dam/kpmg/in/pdf/2017/02/CSR-Survey2016.pdf (05.05. 2018).
  Google Scholar

KRESTEL R., FANKHAUSER P., NEJDL W., 2009, Latent dirichlet allocation for tag recommendation, in: Proceedings of the third ACM conference on Recommender systems, p. 61-68.
DOI: https://doi.org/10.1145/1639714.1639726   Google Scholar

KUASSI M., ZINSOU CH., 2018, Integrated or non-integrated reports: French listed companies at a crossroads?, in: Sustainability Accounting, Management and Policy Journal, 9(3), p. 253-288, https://doi.org/10.1108/SAMPJ-09-2017-0114.
DOI: https://doi.org/10.1108/SAMPJ-09-2017-0114   Google Scholar

KUMAR A., DAS N., 2018, Sustainability Reporting Practices in Emerging Economies: A Cross-Country Study of BRICS Nations, in: Problemy Ekorozwoju/Problems of Sustainable Development, 13(2), p. 17-25.
  Google Scholar

LIEW W. T., ADHITYA A., SRINIVASAN R., 2014, Sustainability trends in the process industries: A text mining-based analysis, in: Computers in Industry, 65(3), p. 393-400, https://doi.org/10.1016/j.compind.2014.01.004
DOI: https://doi.org/10.1016/j.compind.2014.01.004   Google Scholar

LINNENLUECKE M.K., GRIFFITHS A., 2010, Corporate sustainability and organizational culture, in: Journal of world business, 45(4), p. 357-366.
DOI: https://doi.org/10.1016/j.jwb.2009.08.006   Google Scholar

MAC, 2017, Facts and figures 2017, http://mining.ca/sites/default/files/documents/Facts-and-Figures-2017.pdf (20.05.2018).
  Google Scholar

McDONALD D., MCNICOLL I., WEIR G., REIMER T., REDFEARN J., JACOBS N., BRUCE R., 2012, The value and benefits of text mining, in: JISC Digital infrastructure.
  Google Scholar

MERKL-DAVIES D.M., KOLLER V., 2012, Metaphoring’ people out of this world: A Critical Discourse Analysis of a chairman's statement of a UK defence firm in: Accounting Forum, 36(3), p. 178-193.
DOI: https://doi.org/10.1016/j.accfor.2012.02.005   Google Scholar

MODAPOTHALA J.R., ISSAC B., 2009, Evaluation of corporate environmental reports using data mining approach, in: 2009 International Conference on Computer Engineering and Technology, IEEE. p. 543-547.
DOI: https://doi.org/10.1109/ICCET.2009.134   Google Scholar

MODAPOTHALA J.R., ISSAC B., JAYAMANI E., 2010, Appraising the corporate sustainability reportstext mining and multi-discriminatory analysis, in: Innovations in Computing Sciences and Software Engineering, Springer, Dordrecht, p. 489-494.
DOI: https://doi.org/10.1007/978-90-481-9112-3_83   Google Scholar

NASA, 2016, NASA NOAA data show 2016 warmest year on record globally, https://www.nasa.gov/press-release/nasa-noaa-data-show-2016-warmest-yearon-record-globally (20.01.2018).
  Google Scholar

PRASAD A.K., RAMAKRISHNA S., KUMAR D.S., RANI B.P., 2010, Extraction of radiology reports using text mining, in: International Journal on Computer Science and Engineering, 02(05), p. 1558-1562.
  Google Scholar

SEARCY C., BUSLOVICH R., 2014, Corporate perspectives on the development and use of sustainability reports, in: Journal of business ethics, 121(2), p. 149-169.
DOI: https://doi.org/10.1007/s10551-013-1701-7   Google Scholar

SHIRATA C.Y., TAKEUCHI H., OGINO S., WATANABE H., 2011, Extracting Key Phrases as Predictors of Corporate Bankruptcy: Empirical Analysis of Annual Reports by Text Mining, in: Journal of Emerging Technologies in Accounting, 8(1), p. 31-44, https://doi.org/10.2308/jeta-10182.
DOI: https://doi.org/10.2308/jeta-10182   Google Scholar

SPUERK S., DROBE M., AND LOTTERMOSER B.G., 2017, Evaluating resource efficiency at major copper mines, Minerals Engineering, 107, p. 27-33.
DOI: https://doi.org/10.1016/j.mineng.2016.12.005   Google Scholar

SZÉKELY N., AND VOM BROCKE J., 2017, What can we learn from corporate sustainability reporting? Deriving propositions for research and practice from over 9,500 corporate sustainability reports published between 1999 and 2015 using topic modelling technique, in: PloS one, 12(4).
DOI: https://doi.org/10.1371/journal.pone.0174807   Google Scholar

TREGIDGA H., MILNE M., KEARINS K., 2007b, The role of discourse in bridging the text and context of corporate social and environmental reporting, in: Asia-Pacific Interdisciplinary Research into Accounting Conference, Auckland, NZ, 7-9 July.
  Google Scholar

TREGIDGA H., MILNE M.J., KEARINS K., 2007b, The role of discourse in bridging the text and context of corporate social and environmental reporting, in: Department of Accountancy, Finance and Information Systems, University of Canterbury.
  Google Scholar

UNWCED, 1987, Our Common Future, http://www.un-documents.net/our-common-future.pdf (01.05. 2018).
  Google Scholar

WEF, 2018, The world’s biggest economies in 2018, https://www.weforum.org/agenda/2018/04/the-worlds-biggest-economies-in-2018/ (30.04.2018).
  Google Scholar

WILSON A., & RAYSON P., 1993, Automatic Content Analysis of Spoken Discourse, in:), Corpus Based Computational Linguistics, eds. Souter C., Atwell E., Rodopi, Amsterdam, p. 215-226.
DOI: https://doi.org/10.1163/9789004653542_018   Google Scholar

WORLD BANK, 2018, GDP, https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?end=2016&start=1960&view=chart&year_high_desc=true (22.04.2018).
  Google Scholar

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Published
2021-01-04

Cited by

Kumar, A., & Das, N. (2021). A Text-Mining Approach to the Evaluation of Sustainability Reporting Practices: Evidence from a Cross-Country Study. Problemy Ekorozwoju, 16(1), 51–60. https://doi.org/10.35784/pe.2021.1.06

Authors

Ajay Kumar 

Department of Management Studies, Indian Institute of Technology (ISM) Dhanbad, Jharkhand-826004 India
https://orcid.org/0000-0003-2448-8322

Authors

Niladri Das 

Department of Management Studies, Indian Institute of Technology (ISM) Dhanbad, Jharkhand-826004 India

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