Sustainability Multivariate Analysis Based on the Global Reporting Initiative (GRI) Framework, Using as a Case Study: Brazil Compared to Spain and Portugal

Sustainability Multivariate Analysis Based on the Global Reporting Initiative (GRI) Framework, Using as a Case Study: Brazil Compared to Spain and Portugal

N. Tejedor-Flores P. Galindo-Villardón P. Vicente-Galindo

Department of Statistics, University of Salamanca, Salamanca, Spain

Page: 
667-677
|
DOI: 
https://doi.org/10.2495/SDP-V12-N4-667-677
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

The main objective of this research is to find the sustainability gradients of Brazilian companies and sort them as a function of economic, environmental and social components, using multivariate methods for dichotomous data, in order to establish the foundations for better knowledge of the trends and sustainability reporting habits of Brazil. The methodology used is a combined approach, comprising Principal Coordinates Analysis (PCoA) and Logistic Regression Model (LRM) to build an External Logistics Biplot (ELB). We found that the most sustainable companies are associated with great concern for biodiversity, conservation and air pollution prevention, as well as with the strong relationship with employees, human rights promotion and fighting against child labour and forced labour. We conclude that it is possible to obtain sustainability gradients not only for Brazil but also for any country that uses the GRI framework, applying the ELB.

Keywords: 

Brazil, corporate social responsibility, external logistics biplot, global reporting initiative, sustainable development

1. Introduction
2. The Global Reporting Initiative (GRI) Reports
3. A Case Study: Brazil
4. Method
5. Analysis of Results
6. Conclusions
  References

[1] Brundtland, G.H., Report of the world commission on environment and development: our common future (the brundtland report). Medicine, Conflict and Survival, 4(1), p. 16, 1987.

[2] Nebel, B.J. & Wright, R.T., Ciencias ambientales: ecología y desarrollo sostenible, Prentice Hall: Mexico, p. 14, 1999.

[3] Ho, L. & Taylor, M., An empirical analysis of triple bottom-line reporting and it’s determinants: evidence from the United States and Japan. Journal of International Financial Management & Accounting, 18(2), pp. 123–150, 2007. http://dx.doi.org/10.1111/j.1467-646X.2007.01010.x

[4] Rouf, A., The corporate social responsibility disclosure: a study of listed companies in Bangladesh. Business and Economics Research Journal, 2(3), pp. 19–32, 2011.

[5] Patten, D., Exposure, legitimacy and social disclosure. Journal of Accounting and Public Policy, 10(4), pp. 297–308, 1991. http://dx.doi.org/10.1016/0278-4254(91)90003-3

[6] Global Reporting Initiative, Guía para la elaboración de Memorias de Sostenibilidad. The Resorce Library Web Site, Amsterdam, Netherlands, available at https://goo.gl/YI1YtD

[7] Gray, R., Javad, M., Power, D. & Sinclair, C.D., Social and environmental disclosure and corporate characteristics: a research note and extension. Journal of Business Finance and Accounting, 28(3–4), pp. 327–356, 2011.

[8] Adams, C.A., Hill, W.Y. & Roberts, C.B., Corporate social reporting practices in western europe: legitimating corporate behaviour. British Accounting Review, 30(1), pp. 1–21, 1998. http://dx.doi.org/10.1006/bare.1997.0060

[9] Azzone, G., Manzini, R. & Noci, G., Evolutionary trends in environmental reporting. Business Strategy and the Environment, 5(4), pp. 219–230, 1996. http://dx.doi.org/10.1002/(SICI)1099-0836(199612)5:4<219::AID-BSE69>3.0.CO;2-K

[10] Fekrat, M.A., Inclan, C. & Petroni, D., Corporate environmental disclosures: competitive disclosure hypothesis using 1991 annual report data. International Journal of Accounting, 31(2), pp. 175–195, 1996. http://dx.doi.org/10.1016/S0020-7063(96)90003-5

[11] Hossain, M., Islam, K. & Andrew, J., Corporate social and environmental disclosure in developing countries: evidence from bangladesh. Proceeding of the Asian Pacific Conference on International Accounting Issues, Hawaii, pp. 1–22, 2006.

[12] Porwal, L.S. & Sharma, N., Social responsibility disclosure by Indian companies. The Chartered Accountant (India), 39(8), pp. 630–634, 1991.

[13] Perez-Batres, L.A., Miller, V.V. & Pisani, M.J., CSR, sustainability and the meaning of global reporting for Latin American corporations. Journal of Business Ethics, 91(S2), pp.193–209, 2010. http://dx.doi.org/10.1007/s10551-010-0614-y

[14] Rangan, S. & Drummond, A., Explaining out - comes in competition among foreign multinationals in a focal host market. Strategic Management Journal, 25(3), pp. 285–293, 2004. http://dx.doi.org/10.1002/smj.375

[15] Solana, G., Brasil: un gran mercado en expansión sostenida, Universidad Antonio Nebrija-Grupo Santander: España, pp. 199–206, 2012.

[16] Malamud, C., Relaciones España-Brasil, Real Instituto Elcano: España, pp. 19–38, 2014.

[17] De la Dehesa, G., La importancia de Brasil para la economía española (Chapter 4). Brasil: un gran mercado en expansión sostenida, Universidad Antonio Nebrija-Grupo Santander: España, pp. 65–71, 2009.

[18] Branco, M.C. & Rodrigues, L.L., Factors influencing social responsibility disclosure by portuguese companies. Journal of Business Ethics, 83(4), pp. 685–701, 2008. http://dx.doi.org/10.1007/s10551-007-9658-z

[19] Vicente-Galindo, P., Vaz, E. & de Noronha, T., How corporations deal with reporting sustainability: assessment using the multicriteria logistic biplot approach. Systems, 3(1), pp. 6–26, 2015. http://dx.doi.org/10.3390/systems3010006

[20] Vicente-Villardon, J.L., Galindo-Villardon, M.P. & Blazquez-Zaballos, A., Logistic Biplots in Multiple Correspondence Analysis and Related Methods, Statistics in Social and Behavioural Sciences Series: Boca Raton, London and New York, pp. 503–521, 2006. http://dx.doi.org/10.1201/9781420011319.ch23

[21] Demey, J.R., Vicente-Villardon, J.L., Galindo-Villardon, M.P. & Zambrano, A.Y., Identifying molecular markers associated with classification of genotypes by external logistic biplots. Bioinformatics, 24(24), pp. 2832–2838, 2008. http://dx.doi.org/10.1093/bioinformatics/btn552

[22] MULTBIPLOT, A package for Multivariate Analysis using Biplots [Software]. España: Departamento de Estadística, Universidad de Salamanca, available at http://biplot.usal.es/ClassicalBiplot/index.html, Vicente-Villardón, J.L., 2015.

[23] Trotman, K. & Bradley, G., Associations between social responsibility, disclosure and characteristics of companies. Accounting, Organizations and Society, 6(4), pp. 355–362,

1981. http://dx.doi.org/10.1016/0361-3682(81)90014-3

[24] Cowen, S., Ferreri, L. & Parker, L., The impact of corporate characteristics on social responsibility disclosure: a typology and frequency-based analysis. Accounting, Organizations and Society, 12(2), pp. 111–122, 1987. http://dx.doi.org/10.1016/0361-3682(87)90001-8

[25] Belkaoui, A. & Karpik, P., Determinants of the corporate decision to disclose social information. Accounting, Auditing and Accountability Journal, 2(1), pp. 36–51, 1989. http://dx.doi.org/10.1108/09513578910132240

[26] Cooke, T.E., Voluntary corporate disclosure by Swedish companies. Journal of International Financial Management and Accounting, 1(2), pp. 171–195, 1989. http://dx.doi.org/10.1111/j.1467646X.1989.tb00009.x

[27] Gray, S., Towards a theory of cultural influence on the development of accounting systems internationally. Abacus, 24(1), pp. 1–15, 1988. http://dx.doi.org/10.1111/j.1467-6281.1988.tb00200.x