Abstract
Sustainable and holistic investment philosophy such as environmental, social and governance (ESG) concepts have now emerged as the subtle, comprehensive and concrete response to the unprecedented surge in environmental, social and financial market sustainable development problems. The main aim of this paper is to perform an in-depth study on ESG ratings world-wide and to granularly analyse how and why they differ within industries and regions as reported by Sustainalytics on 13,589 companies as of December 2022. Perceiving ESG ratings from dual dimensions, we introduce the ‘push–pull effect’ where we identify the rationale pushing corporates for providing their ESG engagements to ESG rating providers and the justification for stakeholders pulling information from these rating providers. Correspondence analysis, nonparametric independent sample Kruskal–Wallis test and Mann–Whitney test are performed as tools of inference. Results reveal that Asia and America are regions demonstrating high ESG risks with European corporates exhibiting low ESG risks. In terms of industry, transportation infrastructure and media, both categorized under low ESG risk, portray a statistically significant difference from other industries. Finally, the sector wise reports clearly evince an overall statistically significant difference between financial and non-financial sector in all regions, the former presenting high risk ESG scores in Asia and North America. Policy implications are set as ESG is a concept which has stepped out of the “awareness creation” stage to an implementation state, imploring policy makers to embark on stringent measures of ensuring ESG compliance to reap stakeholder confidence and ensure sustainable development.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10997-023-09692-7/MediaObjects/10997_2023_9692_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10997-023-09692-7/MediaObjects/10997_2023_9692_Fig2_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10997-023-09692-7/MediaObjects/10997_2023_9692_Fig3_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs10997-023-09692-7/MediaObjects/10997_2023_9692_Fig4_HTML.png)
Similar content being viewed by others
References
ADBI. (2020). Environmental, social and governance investment—opportunities for Asia.
Agresti, A. (2004). An Introduction to Categorical Data Analysis (Third). Wiley & Sons Hoboken.
Alamillos, R. R., & de Mariz, F. (2022). How can European regulation on ESG impact business globally? Journal of Risk and Financial Management. https://doi.org/10.3390/JRFM15070291
Albert, N., Merunka, D., & Valette-Florence, P. (2008). When consumers love their brands: Exploring the concept and its dimensions. Journal of Business Research, 61(10), 1062–1075. https://doi.org/10.1016/J.JBUSRES.2007.09.014
Amankwah-Amoah, J. (2020). Step** up and step** out of COVID-19: New challenges for environmental sustainability policies in the global airline industry. Journal of Cleaner Production, 271, 123000. https://doi.org/10.1016/j.jclepro.2020.123000
Amir, A. Z., & Serafeim, G. (2018). Why and how investors use ESG information: Evidence from a global survey. Financial Analysts Journal, 74(3), 87–103. https://doi.org/10.2469/faj.v74.n3.2
Atkins, J., Doni, F., Gasperini, A., Artuso, S., la Torre, I., & Sorrentino, L. (2022). Exploring the effectiveness of sustainability measurement: Which ESG metrics will survive COVID-19? Journal of Business Ethics. https://doi.org/10.1007/s10551-022-05183-1
Awaworyi, C. S., Inekwe, J., Ivanovski, K., & Smyth, R. (2021). Transport infrastructure and CO2 emissions in the OECD over the long run. Transportation Research Part d: Transport and Environment, 95, 102857. https://doi.org/10.1016/J.TRD.2021.102857
Banfield, C. F., & Gower, J. C. (1980). A note on the graphical representation of multivariate binary data. Journal of Royal Statistical Society: Series C (Applied Statistics), 29(3), 238–245. https://doi.org/10.2307/2346897.
Banke, M., Lenger, S., & Pott, C. (2022). ESG ratings in the corporate reporting of DAX40 companies in Germany: Effects on market participants. Sustainability (switzerland). https://doi.org/10.3390/su14159742
Berg, F., Kolbel, J., & Rigobon, R. (2022). Aggregate confusion: The divergence of ESG ratings. Review of Finance, May. https://doi.org/10.2139/ssrn.3438533
Bhattacharya, R. (2021). Spinning green into gold. Asia Business Law Journal. https://law.asia/esg-principles-asia/. Accessed 20 Jan 2023
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
Bølviken, E., Helskog, E., Helskog, K., Holm-Olsen, I. M., Solheim, L., & Bertelsen, R. (1982). Correspondence analysis: An alternative to principal components. World Archaeology, 14(1), 41–60. https://doi.org/10.1080/00438243.1982.9979848
Breitenstein, M., Nguyen, D. K., & Walther, T. (2021). Environemntal hazards and risk management in the financial sector: A systemmatic literature review. Journal of Economic Surveys, 35(2), 512–538. https://doi.org/10.1111/joes.12411
CFA Institute. (2019). ESG integration in Europe, the Middle East and Africa: Markets, practices and data. In Report. https://www.unpri.org/download?ac=6036. Accessed 31 Dec 2022
Chatterji, A. K., Rodolphe, D., Levine, D. I., & Samuel, T. (2016). Do ratings of firms converge? Implications for managers, investors and strategy researchers. Strategic Management Journal, 37, 1597–1614. https://doi.org/10.1002/smj.2407
Chen, C., Su, C. H., & Chen, M. H. (2022). Are ESG-committed hotels financially resilient to the COVID-19 pandemic? An autoregressive jump intensity trend model. Tourism Management, 93, 104581. https://doi.org/10.1016/J.TOURMAN.2022.104581
Christensen, D. M., Serafeim, G., & Sikochi, A. (2022). Why is corporate virtue in the eye of the beholder? The case of ESG ratings. Accounting Review, 97(1), 147–175. https://doi.org/10.2308/TAR-2019-0506
Clementino, E., & Perkins, R. (2021). How do companies respond to environmental, social and governance (ESG) ratings? Evidence from Italy. Journal of Business Ethics, 171(2), 379–397. https://doi.org/10.1007/s10551-020-04441-4
Constantine, A. G., & Gower, J. C. (1978). Graphical Representation of Asymmetric Matrices. Journal of Royal Statistical Society:Series C (Applied Statistics), 27(3), 297–304. https://doi.org/10.2307/2347165.
Cornell, B., & Shapiro, A. C. (2021). Corporate stakeholders, corporate valuation and ESG. European Financial Management, 27(2), 196–207. https://doi.org/10.1111/EUFM.12299
Crespi, F., & Migliavacca, M. (2020a). The determinants of ESG rating in the financial industry: The same old story or a different tale? Sustainability (switzerland), 12(16), 1–20. https://doi.org/10.3390/SU12166398
Crespi, F., & Migliavacca, M. (2020b). The determinants of ESG rating in the financial industry: The same old story or a different tale? Sustainability, 12(16), 6398. https://doi.org/10.3390/SU12166398
Deegan, C. M. (2002). The legitimising effect of social and environmental disclosure—a theoretical foundation. Accounting, Auditing & Accountability Journal, 15(282), 311.
Dimson, E., Marsh, P., & Staunton, M. (2020). Divergent ESG ratings. The Journal of Portfolio Management, 41(1), 75–87. https://doi.org/10.3905/jpm.2020.1.175
Donaldson, L., & Davis, J. H. (1991). Stewardship theory or agency theory: CEO governance and shareholder returns. Australian Journal of Management, 16(1), 49–64. https://doi.org/10.1177/031289629101600103
Dorfleitner, G., Halbritter, G., & Nguyen, M. (2015). Measuring the level and risk of corporate responsibility—an empirical comparison of different ESG rating approaches. Journal of Asset Management, 16(7), 450–466. https://doi.org/10.1057/JAM.2015.31
Egorova, A. A., Grishunin, S. V., & Karminsky, A. M. (2021). The impact of ESG factors on the performance of information technology companies. Procedia Computer Science, 199, 339–345. https://doi.org/10.1016/j.procs.2022.01.041
Engelhardt, N., Ekkenga, J., & Posch, P. (2021). Esg ratings and stock performance during the covid-19 crisis. Sustainability, 13(13), 1–15. https://doi.org/10.3390/su13137133
Escrig-Olmedo, E., Fernández-Izquierdo, M., Ángeles, F.-F.I., Rivera-Lirio, J. M., & Muñoz-Torres, M. J. (2019). Rating the raters: Evaluating how ESG rating agencies integrate sustainability principles. Sustainability (switzerland). https://doi.org/10.3390/su11030915
Feifei, L., & Polychronopoulos, A. (2020). What a difference an ESG ratings provider makes, research affiliates publication. Research Affiliates Publication, 15. https://www.researchaffiliates.com/documents/770-what-a-difference-an-esg-ratings-provider-makes.pdf. Accessed 5 Jan 2023
Freeman, R. E. (1984). Strategic managment: A stakeholder approach. Pitman.
Fu, L., Boehe, D. M., & Orlitzky, M. O. (2022). Broad or narrow stakeholder management? A signaling theory perspective. Business and Society, 61(7), 1838–1880. https://doi.org/10.1177/00076503211053018
García-Sánchez, I. M., Frías-Aceituno, J. V., & Rodríguez-Domínguez, L. (2013). Determinants of corporate social disclosure in Spanish local governments. Journal of Cleaner Production, 39, 60–72. https://doi.org/10.1016/J.JCLEPRO.2012.08.037
Gibson, B. R., Krueger, P., & Schmidt, P. S. (2021). ESG rating disagreement and stock returns. Financial Analysts Journal, 77(4), 104–127. https://doi.org/10.1080/0015198X.2021.1963186
Gilula, Z., & Haberman, S.J. (1988). The analysis of multivariate contingency tables by restricted canonical and restricted association models. Journal of the American Statistical Association, 83(403), 760–771. https://doi.org/10.2307/2289302
Greenacre, M. (1974). Correspondence analysis in the social sciences. Academic Press Inc.
Greenacre, M. J. (1984). Theory and applications of correspondence analysis, Academic Press.
Greenacre, M. J. (2006). Biplots in correspondence analysis. Journal of Applied Statistics. https://doi.org/10.1080/02664769300000021
Greene, M. J. (2013). Correspondence Analysis. In T. D. Little (Ed.), The Oxford Handbook of Quantitative Methods Statistical Analysis (pp. 142–153). Oxford University Press.
Ground, J. (2022). ESG global study 2022. Harvard Law School. https://corpgov.law.harvard.edu/2022/06/17/esg-global-study-2022/#:~:text=As with 2021%2C more than,compliance” (29%25 vs. Accessed 10 Jan 2023
Harris, R., & Jarvis, C. (2011). Statistics for Geography and Environmental Science, Prentice Hall.
Hartzmark, S. M., & Sussman, A. B. (2019). Do investors value sustainability? A natural experiment examining ranking and fund flows. The Journal of Finance, 74(6), 2789–2837. https://doi.org/10.1111/JOFI.12841
Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70.
International Organization of Securities Commission. (2021). Environmental, social, and governance (ESG) ratings and data products providers.
Izcan, D., & Bektas, E. (2022). The relationship between ESG scores and firm-specific risk of Eurozone banks. Sustainability (switzerland). https://doi.org/10.3390/su14148619
Khan, M. (2019). Corporate governance, ESG, and stock returns around the world. Financial Analysts Journal, 75(4), 103–123. https://doi.org/10.1080/0015198X.2019.1654299
Kimbrough, M.D., Wang, X., Wei, S., & Zhang, J. (2022). Does voluntary ESG reporting resolve disagreement among ESG rating agencies? European Accounting Review, 1–33. https://doi.org/10.1080/09638180.2022.2088588
Krueger, P., Sautner, Z., & Starks, L. T. (2020). The importance of climate risks for institutional investors. The Review of Financial Studies, 33(3), 1067–1111. https://doi.org/10.1093/RFS/HHZ137
Koutoupis, A., Kyriakogkonas, P., Pazarskis, M., & Davidopoulos, L. (2021). Corporate governance and COVID-19: A literature review. Corporate Governance: THe International Journal of Business in Society, 21(6), 969–982. https://doi.org/10.1108/CG-10-2020-0447
Landi, G., & Sciarelli, M. (2019). Towards a more ethical market: The impact of ESG rating on corporate financial performance. Social Responsibility Journal, 15(1), 11–27. https://doi.org/10.1108/SRJ-11-2017-0254
Larcker, B. D. F., Tayan, B., & Watts, M. (2022). ESG ratings: A compass without direction. Rock center for corporate governance at Stanford University working paper. pp. 1–16.
Li, T. T., Wang, K., Sueyoshi, T., & Wang, D. D. (2021). Esg: Research progress and future prospects. Sustainability (switzerland). https://doi.org/10.3390/su132111663
Liu, M. (2022). Quantitative ESG disclosure and divergence of ESG ratings. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2022.936798
Lokuwaduge, C. D. S., & Heenitigala, K. (2017). Integrating environmental, social and governance (ESG) disclosure for a sustainable development: An Australian study. Business Strategy and the Environment, 26(4), 438–450. https://doi.org/10.1002/bse.1927
Lopera-Mármol, M., & Jiménez-Morales, M. (2021). Green shooting: Media sustainability, a new trend. Sustainability (switzerland), 13(6), 1–14. https://doi.org/10.3390/su13063001
Lopez-De-silanes, F., McCahery, J. A., & Pudschedl, P. C. (2020). ESG performance and disclosure: A cross-country analysis. Singapore Journal of Legal Studies, 2020(December), 217–241. https://doi.org/10.2139/ssrn.3506084
Mahmood, R. (2020). How do different regions score on ESG attributes? ESGCLARITY. https://esgclarity.com/how-do-different-regions-score-on-esg-attributes/. Accessed 10 Jan 2023
Meyer, J. W., & Rowan, B. (1977). Institutional organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83(2), 340–363.
Miller, R., & Siegmund, D. (1982). Maximally selected chi square statistics. Biometrics, 38(4), 1011–1016. https://doi.org/10.2307/2529881
Mohamad, N. E. A., Saad, N. M., & FNA. (2022). Comparative analysis of environmental, social, and governance disclosures. Global Business and Management Research: An International Journal, 13(4), 554–563. https://doi.org/10.2139/ssrn.4146673
Ngai, E. W. T., & Cheng, T. C. E. (1997). Identifying potential barriers to total quality management using principal component analysis and correspondence analysis. International Journal of Quality & Reliability Management, 14(4), 391–408. https://doi.org/10.1108/02656719710170657
OECD. (2020). OECD business and finance outlook 2020: Sustainable and resilient finance. https://www.oecd-ilibrary.org/sites/056af93d-en/index.html?itemId=/content/component/056af93d-en. Accessed 30 Dec 2022
Park, J., Choi, W., & Jung, S. U. (2022). Exploring trends in environmental, social, and governance themes and their sentimental value over time. Frontiers in Psychology, 13, 2745. https://doi.org/10.3389/FPSYG.2022.890435/BIBTEX
Philipp, K., Sautner, Z., & Starks, L. T. (2020). The importance of climate risks for institutional investors. The Review of Financial Studies, 33(3), 1067–1111. https://doi.org/10.1093/rfs/hhz137
Polbennikov, S., Desclée, A., Dynkin, L., & Maitra, A. (2016). ESG ratings and performance of corporate bonds. The Journal of Fixed Income Summer, 26(1), 21–41. https://doi.org/10.3905/jfi.2016.26.1.021
Rostoum, M. (2018). The environmental, social , and governance (ESG) ratings industry: How can publicly-traded companies improve their overall ESG scores?.
Serafeim, G., & Yoon, A. (2022). Stock price reactions to ESG news: The role of ESG ratings and disagreement. Review of Accounting Studies. https://doi.org/10.1007/s11142-022-09675-3
Smithline, R., Ichilcik, H., Koukios, J. M., Pong, S., & Navarro, L. (2022). ESG in Latin America and the rise of the social pillar. In A. M. Levine (Ed.), The guide to corporate compliance (3rd ed.). Latin Lawyer and LACCA. https://latinlawyer.com/guide/the-guide-corporate-compliance/third-edition/article/esg-in-latin-america-and-the-rise-of-the-social-pillar. Accessed 10 Jan 2022
Snider, J., Hill, R. P., & Martin, D. (2003). Corporate social responsibility in the 21st century: A view from the world’s most successful firms. Journal of Business Ethics, 48(2), 175–187. https://doi.org/10.1023/B:BUSI.0000004606.29523.db
S&P Global Ratings. (2019a). ESG industry report card: Chemicals (Issue 2015). https://www.spglobal.com/_assets/documents/ratings/esg-evaluations/ratingsdirect_esgindustryreportcardbuildingmaterialsandengineeringandconstruction_jun-03-2019.pdf. Accessed 20 Dec 2022
S&P Global Ratings. (2019b). ESG industry report card: Oil and gas. https://www.spglobal.com/en/research-insights/articles/esg-industry-report-card-oil-and-gas. Accessed 20 Dec 2022
Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.1055/s-2004-820924
Sustainalytics. (2021). Sustainalytics awarded best ESG research and ratings provider for the second consecutive year by investment week. https://www.sustainalytics.com/esg-news/news-details/2021/10/12/best-esg-research-and-ratings-provider-investment-week. Accessed 15 Nov 2022
Tamimi, N., & Sebastianelli, R. (2017). Transparency among S & P 500 companies: An analysis of ESG disclosure scores. Management Decision, 55(8), 1660–1880.
Tang, D. Y., Yan, J., & Yao, Y. (2021). The determinants of ESG ratings: Rater ownership matters. In Paris December 2021 finance meeting EUROFIDAI—ESSEC. https://doi.org/10.2139/ssrn.3889395.
Thomson Reuterus (2021). ESG: Fast-emerging challenges for financial institutions.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that there is no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendix A
See Table 13
Appendix B: Normality test
Tests of normality | |||
---|---|---|---|
Kolmogorov-Smirnova | |||
Statistic | df | Sig | |
ESG | 0.038 | 13,589 | 0.000 |
Appendix C: Kruskal–Wallis test—to identify the ESG differences among regions
Continent | N | Median | Mean Rank | ||
---|---|---|---|---|---|
ESG Score | Asia | 5994 | 28.300 | 7683.11 | |
Europe | 2722 | 21.700 | 4999.47 | ||
Africa | 141 | 27.000 | 6666.49 | ||
Oceania | 33 | 19.400 | 5815.95 | ||
Australia | 363 | 25.000 | 6366.65 | ||
North America | 4029 | 26.100 | 6709.18 | ||
South America | 307 | 27.000 | 7172.18 | ||
Total | 13,589 | 26.200 | |||
Test statisticsa,b | ESG Score | ||||
Chi-square | 888.743 | ||||
Df | 6 | ||||
Asymp. sig. | 0.000 |
Appendix D: Industry * type of risk crosstabulation
Type of risk | Total | |||||||
---|---|---|---|---|---|---|---|---|
Negligible risk | Low risk | Medium risk | High risk | Severe risk | ||||
Industry | Aerospace and defense | Count | 0 | 1 | 18 | 42 | 26 | 87 |
% within industry | 0.0% | 1.1% | 20.7% | 48.3% | 29.9% | 100.0% | ||
Autocomponents | Count | 3 | 68 | 117 | 15 | 0 | 203 | |
% within industry | 1.5% | 33.5% | 57.6% | 7.4% | 0.0% | 100.0% | ||
Automobiles | Count | 0 | 15 | 46 | 22 | 0 | 83 | |
% within industry | 0.0% | 18.1% | 55.4% | 26.5% | 0.0% | 100.0% | ||
Banks | Count | 35 | 159 | 402 | 299 | 37 | 932 | |
% within industry | 3.8% | 17.1% | 43.1% | 32.1% | 4.0% | 100.0% | ||
Building products | Count | 1 | 15 | 72 | 33 | 0 | 121 | |
% within industry | 0.8% | 12.4% | 59.5% | 27.3% | 0.0% | 100.0% | ||
Chemicals | Count | 2 | 15 | 168 | 216 | 74 | 475 | |
% within industry | 0.4% | 3.2% | 35.4% | 45.5% | 15.6% | 100.0% | ||
Commercial services | Count | 27 | 135 | 184 | 19 | 0 | 365 | |
% within industry | 7.4% | 37.0% | 50.4% | 5.2% | 0.0% | 100.0% | ||
Construction and engineering | Count | 0 | 7 | 36 | 130 | 112 | 285 | |
% within industry | 0.0% | 2.5% | 12.6% | 45.6% | 39.3% | 100.0% | ||
Construction materials | Count | 0 | 3 | 28 | 54 | 39 | 124 | |
% within industry | 0.0% | 2.4% | 22.6% | 43.5% | 31.5% | 100.0% | ||
Consumer durables | Count | 4 | 111 | 73 | 17 | 0 | 205 | |
% within industry | 2.0% | 54.1% | 35.6% | 8.3% | 0.0% | 100.0% | ||
Consumer services | Count | 0 | 137 | 153 | 104 | 1 | 395 | |
% within industry | 0.0% | 34.7% | 38.7% | 26.3% | 0.3% | 100.0% | ||
Containers and packaging | Count | 1 | 51 | 28 | 0 | 0 | 80 | |
% within industry | 1.3% | 63.8% | 35.0% | 0.0% | 0.0% | 100.0% | ||
Diversified financials | Count | 12 | 150 | 327 | 299 | 2 | 790 | |
% within industry | 1.5% | 19.0% | 41.4% | 37.8% | 0.3% | 100.0% | ||
Diversified metals | Count | 0 | 3 | 24 | 39 | 115 | 181 | |
% within industry | 0.0% | 1.7% | 13.3% | 21.5% | 63.5% | 100.0% | ||
Electrical equipment | Count | 0 | 24 | 118 | 78 | 0 | 220 | |
% within industry | 0.0% | 10.9% | 53.6% | 35.5% | 0.0% | 100.0% | ||
Energy services | Count | 0 | 9 | 46 | 35 | 0 | 90 | |
% within industry | 0.0% | 10.0% | 51.1% | 38.9% | 0.0% | 100.0% | ||
Food products | Count | 0 | 19 | 122 | 195 | 160 | 496 | |
% within industry | 0.0% | 3.8% | 24.6% | 39.3% | 32.3% | 100.0% | ||
Food retailers | Count | 0 | 40 | 109 | 28 | 0 | 177 | |
% within industry | 0.0% | 22.6% | 61.6% | 15.8% | 0.0% | 100.0% | ||
Health care | Count | 0 | 101 | 231 | 185 | 26 | 543 | |
% within industry | 0.0% | 18.6% | 42.5% | 34.1% | 4.8% | 100.0% | ||
Homebuilders | Count | 0 | 31 | 44 | 2 | 0 | 77 | |
% within industry | 0.0% | 40.3% | 57.1% | 2.6% | 0.0% | 100.0% | ||
Household products | Count | 0 | 7 | 41 | 48 | 2 | 98 | |
% within industry | 0.0% | 7.1% | 41.8% | 49.0% | 2.0% | 100.0% | ||
Insurance | Count | 1 | 65 | 143 | 82 | 2 | 293 | |
% within industry | 0.3% | 22.2% | 48.8% | 28.0% | 0.7% | 100.0% | ||
Machinery | Count | 0 | 27 | 153 | 235 | 50 | 465 | |
% within industry | 0.0% | 5.8% | 32.9% | 50.5% | 10.8% | 100.0% | ||
Media | Count | 8 | 184 | 47 | 0 | 0 | 239 | |
% within industry | 3.3% | 77.0% | 19.7% | 0.0% | 0.0% | 100.0% | ||
Paper and forestry | Count | 0 | 17 | 42 | 12 | 0 | 71 | |
% within industry | 0.0% | 23.9% | 59.2% | 16.9% | 0.0% | 100.0% | ||
Pharmaceuticals | Count | 0 | 61 | 290 | 419 | 148 | 918 | |
% within industry | 0.0% | 6.6% | 31.6% | 45.6% | 16.1% | 100.0% | ||
Precious metals | Count | 4 | 3 | 27 | 27 | 41 | 102 | |
% within industry | 3.9% | 2.9% | 26.5% | 26.5% | 40.2% | 100.0% | ||
Real estate | Count | 55 | 551 | 364 | 3 | 0 | 973 | |
% within industry | 5.7% | 56.6% | 37.4% | 0.3% | 0.0% | 100.0% | ||
Refiners and pipelines | Count | 0 | 5 | 50 | 70 | 51 | 176 | |
% within industry | 0.0% | 2.8% | 28.4% | 39.8% | 29.0% | 100.0% | ||
Retailing | Count | 3 | 273 | 135 | 6 | 0 | 417 | |
% within industry | 0.7% | 65.5% | 32.4% | 1.4% | 0.0% | 100.0% | ||
Semiconductors | Count | 0 | 47 | 133 | 81 | 47 | 308 | |
% within industry | 0.0% | 15.3% | 43.2% | 26.3% | 15.3% | 100.0% | ||
Software and services | Count | 8 | 248 | 619 | 35 | 0 | 910 | |
% within industry | 0.9% | 27.3% | 68.0% | 3.8% | 0.0% | 100.0% | ||
Technology hardware | Count | 24 | 265 | 286 | 21 | 0 | 596 | |
% within industry | 4.0% | 44.5% | 48.0% | 3.5% | 0.0% | 100.0% | ||
Telecommunication services | Count | 0 | 32 | 96 | 54 | 3 | 185 | |
% within industry | 0.0% | 17.3% | 51.9% | 29.2% | 1.6% | 100.0% | ||
Traders and distributors | Count | 0 | 25 | 104 | 29 | 0 | 158 | |
% within industry | 0.0% | 15.8% | 65.8% | 18.4% | 0.0% | 100.0% | ||
Transportation | Count | 1 | 77 | 197 | 44 | 5 | 324 | |
% within industry | 0.3% | 23.8% | 60.8% | 13.6% | 1.5% | 100.0% | ||
Transportation infrastructure | Count | 19 | 82 | 42 | 0 | 0 | 143 | |
% within industry | 13.3% | 57.3% | 29.4% | 0.0% | 0.0% | 100.0% | ||
Utilities | Count | 5 | 74 | 189 | 192 | 167 | 627 | |
% within industry | 0.8% | 11.8% | 30.1% | 30.6% | 26.6% | 100.0% | ||
Industrial conglomerates | Count | 0 | 0 | 10 | 32 | 64 | 106 | |
% within industry | 0.0% | 0.0% | 9.4% | 30.2% | 60.4% | 100.0% | ||
Oil and gas producers | Count | 1 | 5 | 14 | 65 | 153 | 238 | |
% within industry | 0.4% | 2.1% | 5.9% | 27.3% | 64.3% | 100.0% | ||
Textiles and apparel | Count | 2 | 122 | 49 | 0 | 0 | 173 | |
% within industry | 1.2% | 70.5% | 28.3% | 0.0% | 0.0% | 100.0% | ||
Steel | Count | 0 | 2 | 7 | 50 | 81 | 140 | |
% within industry | 0.0% | 1.4% | 5.0% | 35.7% | 57.9% | 100.0% | ||
Total | Count | 216 | 3266 | 5384 | 3317 | 1406 | 13,589 | |
% within industry | 1.6% | 24.0% | 39.6% | 24.4% | 10.3% | 100.0% |
Appendix E: Overview column pointsa for industry-risk analysis
Risk | Mass | Score in dimension | Inertia | Contribution | |||||
---|---|---|---|---|---|---|---|---|---|
1 | 2 | Of point to inertia of dimension | Of dimension to inertia of point | ||||||
1 | 2 | 1 | 2 | Total | |||||
Negligible risk | 0.016 | 0.962 | − 0.834 | 0.034 | 0.022 | 0.030 | 0.281 | 0.119 | 0.400 |
Low risk | 0.240 | 0.907 | − 0.610 | 0.169 | 0.302 | 0.242 | 0.764 | 0.195 | 0.959 |
Medium Risk | 0.396 | 0.273 | 0.345 | 0.053 | 0.045 | 0.128 | 0.362 | 0.326 | 0.688 |
High Risk | 0.244 | − 0.673 | 0.584 | 0.117 | 0.169 | 0.226 | 0.618 | 0.262 | 0.881 |
Severe Risk | 0.103 | − 1.711 | − 1.155 | 0.252 | 0.462 | 0.374 | 0.788 | 0.202 | 0.991 |
Active Total | 1.000 | 0.626 | 1.000 | 1.000 |
Appendix F: Overview row pointsa for industry risk analysis
Industry | Mass | Score in dimension | Inertia | Contribution | |||||
---|---|---|---|---|---|---|---|---|---|
1 | 2 | Of point to inertia of dimension | Of dimension to inertia of point | ||||||
1 | 2 | 1 | 2 | Total | |||||
Aerospace and defense | 0.006 | − 1.174 | 0.004 | 0.006 | 0.013 | 0.000 | 0.975 | 0.000 | 0.975 |
Autocomponents | 0.015 | 0.649 | 0.069 | 0.005 | 0.010 | 0.000 | 0.809 | 0.005 | 0.814 |
Automobiles | 0.006 | 0.209 | 0.639 | 0.001 | 0.000 | 0.007 | 0.143 | 0.758 | 0.901 |
Banks | 0.069 | 0.038 | 0.420 | 0.008 | 0.000 | 0.033 | 0.008 | 0.560 | 0.568 |
Building products | 0.009 | 0.151 | 0.765 | 0.002 | 0.000 | 0.014 | 0.056 | 0.809 | 0.866 |
Chemicals | 0.035 | − 0.677 | 0.502 | 0.014 | 0.024 | 0.024 | 0.745 | 0.231 | 0.976 |
Commercial services | 0.027 | 0.777 | − 0.225 | 0.015 | 0.025 | 0.004 | 0.699 | 0.033 | 0.732 |
Construction and engineering | 0.021 | − 1.408 | − 0.430 | 0.029 | 0.063 | 0.011 | 0.936 | 0.049 | 0.985 |
Construction materials | 0.009 | − 1.141 | − 0.123 | 0.008 | 0.018 | 0.000 | 0.987 | 0.007 | 0.994 |
Consumer durables | 0.015 | 0.841 | − 0.475 | 0.009 | 0.016 | 0.009 | 0.783 | 0.141 | 0.923 |
Consumer services | 0.029 | 0.364 | 0.198 | 0.005 | 0.006 | 0.003 | 0.532 | 0.088 | 0.621 |
Containers and packaging | 0.006 | 1.046 | − 0.755 | 0.006 | 0.010 | 0.009 | 0.710 | 0.208 | 0.918 |
Diversified financials | 0.058 | 0.062 | 0.630 | 0.011 | 0.000 | 0.063 | 0.014 | 0.797 | 0.811 |
Diversified metals | 0.013 | − 1.802 | − 1.551 | 0.042 | 0.066 | 0.087 | 0.678 | 0.283 | 0.961 |
Electrical equipment | 0.016 | 0.010 | 0.883 | 0.005 | 0.000 | 0.034 | 0.000 | 0.989 | 0.990 |
Energy services | 0.007 | − 0.048 | 0.929 | 0.002 | 0.000 | 0.015 | 0.005 | 0.992 | 0.997 |
Food products | 0.037 | − 1.091 | − 0.220 | 0.029 | 0.066 | 0.005 | 0.977 | 0.022 | 1.000 |
Food retailers | 0.013 | 0.407 | 0.453 | 0.004 | 0.003 | 0.007 | 0.398 | 0.278 | 0.676 |
Health care | 0.040 | − 0.040 | 0.480 | 0.004 | 0.000 | 0.025 | 0.011 | 0.864 | 0.875 |
Homebuilders | 0.006 | 0.768 | − 0.090 | 0.003 | 0.005 | 0.000 | 0.772 | 0.006 | 0.778 |
Household products | 0.007 | − 0.283 | 0.985 | 0.003 | 0.001 | 0.019 | 0.117 | 0.796 | 0.913 |
Insurance | 0.022 | 0.210 | 0.504 | 0.003 | 0.001 | 0.015 | 0.225 | 0.731 | 0.957 |
Machinery | 0.034 | − 0.583 | 0.676 | 0.015 | 0.018 | 0.042 | 0.499 | 0.378 | 0.877 |
Media | 0.018 | 1.197 | − 1.165 | 0.029 | 0.038 | 0.065 | 0.574 | 0.306 | 0.880 |
Paper and forestry | 0.005 | 0.404 | 0.425 | 0.001 | 0.001 | 0.003 | 0.448 | 0.279 | 0.727 |
Pharmaceuticals | 0.068 | − 0.666 | 0.404 | 0.025 | 0.046 | 0.030 | 0.776 | 0.160 | 0.936 |
Precious metals | 0.008 | − 1.113 | − 0.729 | 0.008 | 0.014 | 0.011 | 0.721 | 0.174 | 0.895 |
Real estate | 0.072 | 1.019 | − 0.709 | 0.064 | 0.114 | 0.098 | 0.766 | 0.209 | 0.975 |
Refiners and pipelines | 0.013 | − 1.008 | − 0.058 | 0.009 | 0.020 | 0.000 | 0.998 | 0.002 | 1.000 |
Retailing | 0.031 | 1.037 | − 0.773 | 0.032 | 0.050 | 0.050 | 0.669 | 0.210 | 0.879 |
Semiconductors | 0.023 | − 0.278 | 0.090 | 0.002 | 0.003 | 0.001 | 0.665 | 0.040 | 0.705 |
Software and services | 0.067 | 0.634 | 0.227 | 0.033 | 0.041 | 0.009 | 0.539 | 0.039 | 0.578 |
Technology hardware | 0.044 | 0.838 | − 0.322 | 0.022 | 0.047 | 0.012 | 0.901 | 0.075 | 0.975 |
Telecommunication services | 0.014 | 0.113 | 0.611 | 0.002 | 0.000 | 0.014 | 0.054 | 0.884 | 0.938 |
Traders and distributors | 0.012 | 0.304 | 0.645 | 0.004 | 0.002 | 0.013 | 0.181 | 0.457 | 0.638 |
Transportation | 0.024 | 0.407 | 0.336 | 0.006 | 0.006 | 0.007 | 0.440 | 0.168 | 0.608 |
Transportation infrastructure | 0.011 | 1.111 | − 0.974 | 0.018 | 0.020 | 0.027 | 0.477 | 0.206 | 0.683 |
Utilities | 0.046 | − 0.710 | − 0.280 | 0.017 | 0.035 | 0.010 | 0.913 | 0.080 | 0.993 |
Industrial conglomerates | 0.008 | − 1.848 | − 1.323 | 0.023 | 0.041 | 0.037 | 0.766 | 0.221 | 0.987 |
Oil and gas producers | 0.018 | − 1.900 | − 1.569 | 0.058 | 0.096 | 0.117 | 0.714 | 0.274 | 0.988 |
Textiles and apparel | 0.013 | 1.111 | − 0.927 | 0.016 | 0.024 | 0.030 | 0.632 | 0.248 | 0.879 |
Steel | 0.010 | − 1.837 | − 1.222 | 0.028 | 0.053 | 0.042 | 0.800 | 0.199 | 0.999 |
Active total | 1.000 | 0.626 | 1.000 | 1.000 |
Appendix G: Kruskal–Wallis test—to identify the difference between industries
Industry | N | Median | Mean rank | |
---|---|---|---|---|
ESG Score | Aerospace and defense | 87 | 35.200 | 10,383.40 |
Autocomponents | 203 | 22.900 | 4738.30 | |
Automobiles | 83 | 27.000 | 6574.86 | |
Banks | 932 | 27.900 | 7058.08 | |
Building products | 121 | 27.200 | 6757.70 | |
Chemicals | 475 | 32.200 | 9341.11 | |
Commercial services | 365 | 21.000 | 4139.17 | |
Construction and Engineering | 285 | 37.800 | 10,978.60 | |
Construction materials | 124 | 35.900 | 10,382.38 | |
Consumer durables | 205 | 18.900 | 3867.18 | |
Consumer services | 395 | 25.300 | 5829.55 | |
Containers and packaging | 80 | 17.900 | 2933.55 | |
Diversified financials | 790 | 28.300 | 7069.35 | |
Diversified metals | 181 | 45.000 | 11,525.26 | |
Electrical equipment | 220 | 27.650 | 7329.85 | |
Energy services | 90 | 27.650 | 7440.48 | |
Food products | 496 | 35.800 | 10,122.18 | |
Food retailers | 177 | 24.600 | 5832.73 | |
Health care | 543 | 27.200 | 7205.95 | |
Homebuilders | 77 | 22.300 | 4278.42 | |
Household products | 98 | 30.400 | 8412.11 | |
Insurance | 293 | 26.500 | 6417.90 | |
Machinery | 465 | 31.900 | 8993.15 | |
Media | 239 | 16.800 | 2234.91 | |
Paper and forestry | 71 | 24.500 | 5921.99 | |
Pharmaceuticals | 918 | 32.100 | 9189.01 | |
Precious metals | 102 | 35.400 | 10,070.02 | |
Real estate | 973 | 18.100 | 2940.34 | |
Refiners and pipelines | 176 | 33.800 | 9885.16 | |
Retailing | 417 | 18.200 | 3080.79 | |
Semiconductors | 308 | 27.600 | 7690.30 | |
Software and services | 910 | 23.100 | 4939.88 | |
Technology hardware | 596 | 20.250 | 3869.22 | |
Telecommunication services | 185 | 26.600 | 6822.28 | |
Traders and distributors | 158 | 25.700 | 6297.29 | |
Transportation | 324 | 23.900 | 5751.38 | |
Transportation infrastructure | 143 | 16.400 | 2423.79 | |
Utilities | 627 | 32.600 | 8910.97 | |
Industrial conglomerates | 106 | 41.400 | 11,815.24 | |
Oil and gas producers | 238 | 44.050 | 11,883.43 | |
Textiles and apparel | 173 | 17.400 | 2539.90 | |
Steel | 140 | 42.250 | 11,815.75 | |
Total | 13,589 | 26.200 | ||
Test statisticsa,b | ESG Score | |||
Chi-square | 6093.148 | |||
df | 41 | |||
Asymp. sig. | 0.000 |
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Pillai, R., Islam, M.A., Sreejith, S. et al. Comparative analysis of environmental, social and governance (ESG) ratings: do sectors and regions differ?. J Manag Gov (2024). https://doi.org/10.1007/s10997-023-09692-7
Accepted:
Published:
DOI: https://doi.org/10.1007/s10997-023-09692-7