IDEAS home Printed from https://ideas.repec.org/a/aiy/journl/v2y2016i1p17-27.html

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

Author

Listed:
  • Bogdanov, V. D.
  • Ilysheva, N. N.
  • Baldesku, E. V.
  • Zakirov, U. Sh.

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.

Suggested Citation

  • Bogdanov, V. D. & Ilysheva, N. N. & Baldesku, E. V. & Zakirov, U. Sh., 2016. "A methodological approach to developing the model of correlation between economic development and environmental efficiency on the basis of company's non-financial reports," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 2(1), pages 17-27.
    • Handle: RePEc:aiy:journl:v:2:y:2016:i:1:p:17-27
    DOI: 10.15826/recon.2016.2.1.002
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10995/47026
    Download Restriction: no
    File URL: https://libkey.io/10.15826/recon.2016.2.1.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Henk F. Moed, 2005. "Statistical relationships between downloads and citations at the level of individual documents within a single journal," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(10), pages 1088-1097, August.
    2. Fankhauser, Samuel, 1998. "Global climate change: the challenges for development policy," Environment and Development Economics, Cambridge University Press, vol. 3(3), pages 347-409, July.
    3. Ferreira, Susana & Vincent, Jeffrey R, 2005. "Genuine Savings: Leading Indicator of Sustainable Development?," Economic Development and Cultural Change, University of Chicago Press, vol. 53(3), pages 737-754, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vladimir Bogdanov & Nina Ilysheva & Elena Baldesku & Ulugbek Zokirov, 2016. "The Development of Correlation Model between Economic Development and Environmental Performance on the Basis of Non-Financial Reporting," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 93-104.
    2. Philip M. Davis & Michael J. Fromerth, 2007. "Does the arXiv lead to higher citations and reduced publisher downloads for mathematics articles?," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(2), pages 203-215, May.
    3. Bikun Chen, 2018. "Usage pattern comparison of the same scholarly articles between Web of Science (WoS) and Springer," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 519-537, April.
    4. Ali Namaki & Reza Eyvazloo & Shahin Ramtinnia, 2023. "A systematic review of early warning systems in finance," Papers 2310.00490, arXiv.org.
    5. Mike Thelwall & Kayvan Kousha, 2017. "ResearchGate versus Google Scholar: Which finds more early citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1125-1131, August.
    6. José Luis Ortega, 2015. "How is an academic social site populated? A demographic study of Google Scholar Citations population," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 1-18, July.
    7. Mubashir Qasim & Les Oxley & Eoin McLaughlin, 2020. "Genuine savings as a test of New Zealand weak sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(1), pages 89-127, January.
    8. Nick Hanley & Louis Dupuy & Eoin McLaughlin, 2015. "Genuine Savings And Sustainability," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 779-806, September.
    9. Natalia Zugravu-Soilita & Vincent Geronimi & Jessy Tsang & Christine Le Gargasson, 2020. "Promoting heritage for a sustainable development: the case of tourism in the island economies [Promouvoir le patrimoine pour un développement soutenable : le cas du tourisme dans les économies insu," Post-Print hal-03709168, HAL.
    10. Géraldine Thiry, 2015. "Beyond GDP: Conceptual Grounds of Quantification. The Case of the Index of Economic Well-Being (IEWB)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(2), pages 313-343, April.
    11. Hu, Beibei & Ding, Yang & Dong, Xianlei & Bu, Yi & Ding, Ying, 2021. "On the relationship between download and citation counts: An introduction of Granger-causality inference," Journal of Informetrics, Elsevier, vol. 15(2).
    12. Thomas Aronsson & Karl-Gustaf Löfgren (ed.), 2010. "Handbook of Environmental Accounting," Books, Edward Elgar Publishing, number 12796.
    13. Eoin McLaughlin & Cristián Ducoing & Les Oxley, 2024. "Tracing Sustainability in the Long Run: Genuine Savings Estimates, 1850–2018," NBER Chapters, in: Measuring and Accounting for Environmental Public Goods: A National Accounts Perspective, pages 63-100, National Bureau of Economic Research, Inc.
    14. José Osvaldo De Sordi & Marco Antonio Conejero & Manuel Meireles, 2016. "Bibliometric indicators in the context of regional repositories: proposing the D-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 235-258, April.
    15. Pooladian, Aida & Borrego, Ángel, 2016. "A longitudinal study of the bookmarking of library and information science literature in Mendeley," Journal of Informetrics, Elsevier, vol. 10(4), pages 1135-1142.
    16. Oskenbayev, Yessengali & Yilmaz, Mesut & Abdulla, Kanat, 2013. "Resource concentration, institutional quality and the natural resource curse," Economic Systems, Elsevier, vol. 37(2), pages 254-270.
    17. Nick Hanley & Les Oxley & David Greasley & Eoin McLaughlin & Matthias Blum, 2016. "Empirical Testing of Genuine Savings as an Indicator of Weak Sustainability: A Three-Country Analysis of Long-Run Trends," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(2), pages 313-338, February.
    18. McGrath, Luke & Hynes, Stephen & McHale, John, 2019. "Augmenting the World Bank's estimates: Ireland's genuine savings through boom and bust," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    19. Louis Dupuy, 2012. "International Trade and Sustainability: A survey," Larefi Working Papers 201201, Larefi, Université Bordeaux 4.
    20. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aiy:journl:v:2:y:2016:i:1:p:17-27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Irina Turgel (email available below). General contact details of provider: https://edirc.repec.org/data/seurfru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.