Original article
Аnatoly А. Shavykin1, Аndrey N. Karnatov2
1, 2Murmansk Marine Biological Institute of the Russian Academy of Sciences, Murmansk, Russia
1anatoli.shavykin@mail.ru, ORCID 0000-0003-0538-8115
2karnatov@mmbi.info, ORCID 0000-0003-1853-3270
Abstract. Environmental and economic assessments often rely on variables measured on ordinal scales, particularly when primary data are limited. However, according to measurement theory, arithmetic operations on ordinal data are not valid, and the use of ordinal indicators may lead to unjustified conclusions. This paper aims to outline the fundamental requirements for properly accounting for the type of measurement scale when working with data, including ordinal-scale variables; demonstrate the limitations of using ordinal data in arithmetic operations; substantiate the flaws in a number of environmental and economic assessments regarding the Russian Arctic where ordinal indicators were used; and draw attention to the necessity of considering measurement scale properties in calculations. To validate our findings, we used monotonic increasing transformations of the initial data acceptable on ordinal scales. The analysis shows that several reviewed studies are based on arithmetic calculations with ordinal values, which leads to methodologically unsupported and potentially misleading results. The study demonstrates that ordinal data must not be subjected to algebraic operations.
Keywords: measurement theory, ordinal data, ratio scale, permissible transformations, arithmetic operations
Acknowledgments: The study was conducted as part of a state-funded research project titled “Structural and Dynamic Transformations of Pelagic Ecosystems of Arctic Marine Basins under Technogenic and Natural Environmental Changes”, Registration No. 124013000709-9, Assignment FMEE-2024-0016.
For citation: Shavykin А. А., Karnatov А. N. The use of ordinal data in environmental and economic assessments: Applications in the Russian Arctic. Sever i rynok: formirovanie ekonomicheskogo poryadka [The North and the Market: Forming the Economic Order], 2026, no. 2, pp. 153–166. doi:10.37614/2220-802X.2.2026.92.011
References
- Kol’skii zaliv i neft’: biota, karty uyazvimosti, zagryaznenie [Kola Bay and oil: Biota, vulnerability maps, pollution]. Petersburg, Renome, 2018, 520 p. doi:10.25990/renomespb.w0pj-zq52. (In Russ.).
- Mirzabekova Zh. B., Gubaidullin М. G. Analiz geoekologicheskikh faktorov, vliyayushchikh na vybor varianta vyvoza nefti iz Dolginskogo mestorozhdeniya [Analysis of geo-ecological factors affecting the choice of oil evacuation method from the Dolginskoye oil field]. Zashchita okruzhayushchei sredy v neftegazovom komplekse [Environmental Protection in Oil and Gas Complex], 2024, vol. 6, no. 321, pp. 70–77. (In Russ.).
- Nikitin B. V. Otsenka potentsiala zhiznestoikosti gorodov rossiiskoi Arktiki: faktor ekonomicheskoi spetsializatsii [Assessing the resilience potential of the Russian Arctic cities: The factor of economic specialization]. Arktika: ekologiya i ekonomika [Arctic: Ecology and Economy], 2023, vol. 13, no. 1, pp. 106–118. doi:10.25283/2223-4594-2023-1-106-118. (In Russ.).
- Reshetnyak O. S., Kovalenko A. A. Kompleksnoe ekologo-gidrokhimicheskoe raionirovanie materikovoi chasti Arkticheskoi zony Rossii v kontekste ustoichivogo razvitiya regiona [Comprehensive ecological and hydrochemical zoning of the mainland part of the Russian Arctic zone in the context of the region sustainable development]. Arktika: ekologiya i ekonomika [Arctic: Ecology and Economy], 2023, vol. 13, no. 2, pp. 234–247. doi:10.25283/2223-4594-2023-2-234-247. (In Russ.).
- Orlov A. I. Organizatsionno-ekonomicheskoe modelirovanie. V 3 ch. Ch. 2. Ekspertnye otsenki [Organizational and economic In 3 parts. Part 2. Expert assessments]. Moscow, Bauman Moscow State Technical University, 2011, 486 p. Available at: http://ebooks.bmstu.ru/catalog/153/book1069.html (accessed 06.10.2020). (In Russ.).
- JCGM 200:2008. Mezhdunarodnyi slovar’ po metrologii: osnovnye i obshchie ponyatiya i sootvetstvuyushchie terminy [International vocabulary of metrology: Basic and general concepts and associated terms]. St. Petersburg, NPO “Professional”, 2010, 82 p. Available at: http://ipg.geospace.ru/metrology/docs/JCGM_200_2008-trans.pdf (accessed 19.08.2025). (In Russ.).
- RMG 83-2007. Gosudarstvennaya sistema obespecheniya edinstva izmerenii. Shkaly izmerenii. Terminy i opredeleniya. Rekomendatsii po mezhgosudarstvennoi standartizatsii [State system for ensuring the uniformity of measurements. Measurement scales. Terms and definitions. Recommendations for interstate standardization]. Moscow, Standartinform, 2008, 24 p. Available at: https://protect.gost.ru/v.aspx?control=8&baseC=101&page=1&month=-1&year=-1&search=&RegNum =53&DocOnPageCount=500&id=196359 (accessed 19.08.2025). (In Russ.).
- Stevens S. S. On the theory of scales of measurement. Science, 1946, no. 103, pp. 677–680. doi:10.1126/science.103.2684.677.
- Stevens S. S. Mathematics, measurement, and psychophysics. Handbook of experimental psychology. New York, Wiley, 1951, pp. 1–49.
- Suppes P., Zinnes J. L. Osnovy teorii izmerenii. Psikhologicheskie izmereniya: Sbornik [Basic measurement theory. In: Handbook of psychological measurements]. Moscow, Mir Publishing House, 1967, pp. 9–110. (In Russ.).
- Pfanzagl J. Teoriya izmerenii [Theory of Measurement]. Moscow, Mir Publishing House, 1976, 248 p. (In Russ.).
- Velleman P. F., Wilkinson L. Tipologiya nominal’nyh, ordinal’nyh, interval’nyh i otnositel’nyh shkal vvodyat v zabluzhdenie [Nominal, ordinal, interval, and ratio typologies are misleading]. 4M [Sociology. 4M], 2011, no. 33, pp. 166–193. (In Russ.).
- Saati T. Prinyatie reshenii. Metod analiza ierarkhii [How to make a decision: The Analytic Hierarchy Process]. Moscow, Radio i svyaz’, 1993, 278 p. (In Russ.).
- Shavykin A., Karnatov A. The Issue of Using Ordinal Quantities to Estimate the Vulnerability of Seabirds to Oil Spills. Journal of Marine Science and Engineering, 2020, vol. 8, no. 12, p. 1026. doi:10.3390/jmse8121026.
- Shavykin A., Karnatov A. The issue of using ordinal quantities to estimate the vulnerability of seabirds to wind farms. Journal of Marine Science and Engineering, 2022, vol. 10, no. 11, p. 1584. doi:10.3390/jmse10111584.
- Shavykin A. A., Ilyin G. V. Otsenka integral’noi uyazvimosti Barentseva morya ot neftyanogo zagryazneniya [Assessment of the integral vulnerability of the Barents Sea to oil pollution]. Murmansk, MMBI KSC RAS, 2010, 110 p. (In Russ.).
- Garthe S., Hüppop O. Scaling possible adverse effects of marine wind farms on seabirds: Developing and applying a vulnerability index. Journal of Applied Ecology, 2004, vol. 41, pp. 724–734. doi:10.1111/j.0021-8901.2004.00918.x.
- Furness R. W., Wade H. M., Masden E. A. Assessing vulnerability of marine bird populations to offshore wind farms. Environ. Manag., 2013, vol. 119, pp. 56–66. doi:10.1016/j.jenvman.2013.01.025.
- Ekologicheskii atlas Rostovskoi oblasti [Ecological atlas of the Rostov Region]. Rostov on Don, SKNC VSh, 2000, 120 p. (In Russ.).
- Andreichikov A. V., Andreichikova O. N. Nauka i iskusstvo prinyatiya reshenii. Kn. 2. Prinyatie reshenii v usloviyakh neopredelennosti: ot metoda analiza ierarkhii do nechetkikh modelei [The science and art of decision-making. Book 2. Decision-making under uncertainty: From the analytic hierarchy process to fuzzy models]. Moscow, LENAND, 2021, 800 p. (In Russ.).