A methodological approach to developing the model of correlation between economic development and environmental efficiency on the basis of company’s non-financial reports

Vladimir D. Bogdanov, Nina N. Ilysheva, Elena V. Baldesku, Ulugbek Sh. Zakirov

Abstract


Having reviewed the most widely used international non-financial reporting standards, GRI was identified as the optimal standard for the Russian context. The environmental component of the GRI G4 guidelines and the contribution of each aspect to the overall sustainability picture were analysed. Over time, the value of biological resources increases, and therefore, a company’s economic development cannot continue in isolation. To determine the degree of harmony between economic development and ecological condition of the territories involved, new approaches and methods are required. Based on statistical methods, a model of correlation between economic development and environmental efficiency was developed that uses non-financial reporting data. The model can be used by oil and gas companies, and its general principles — by other industries. The results may interest stakeholders and serve as a platform for forecasting and making administrative decisions aimed at achieving harmony between economic development and environmental efficiency. The model was tested on the largest oil and gas Russian company “Surgutneftegaz” data. A positive correlation was shown between the two systems of its sustainable development: economy and ecology. The results obtained demonstrate the company’s strong commitment to conservation. Further research may yield more profound results, contributing to broader sustainable development.

Keywords


sustainable development; components of sustainability; non-financial reporting; social responsibility; correlation model; correlation coeficients; economic development; ecological footprint; forecasting; managing environmental impact

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References


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DOI: https://doi.org/10.15826/recon.2016.2.1.002

Copyright (c) 2018 Vladimir D. Bogdanov, Nina N. Ilysheva, Elena V. Baldesku, Ulugbek Sh. Zakirov

© R-Economy, ISSN 2412-0731