Home  Journals  National Interests: Priorities and Security  9(414) - 2022 September

Challenges and prospects of digital transformation of the environment and natural resources management industry: Evidence from the Krasnoyarsk Krai

Received: 18 July 2022

Received in revised form: 2 August 2022

Accepted: 13 August 2022

Available online: 15 September 2022

Subject Heading: ECONOMIC POLICY OF THE STATE

JEL Classification: O1, O38, Q58

Pages: 1655–1679

https://doi.org/10.24891/ni.18.9.1655

Subject. This article considers digital transformation as one of the prime objectives for the development of the Russian economy.
Objectives. The article aims to assess the impact of digital transformation on the solution of important environmental problems of the Krasnoyarsk Krai.
Methods. For the study, I used logical, comparative, and statistical analyses.
Results. The article assesses the completeness of the reflection of issues related to digitalization in the industry programme documents of the Krai.
Conclusions. The main problem hindering the digital technology use in the industry is low personnel staffing and resourcing. A unified approach to solving digital transformation problems in different strategic planning documents is required.

Keywords: digital transformation, ecology, nature management

References:

1. Nitoslawski S.A., Wong‐Stevens K., Steenberg J.W.N. et al. The Digital Forest: Mapping a Decade of Knowledge on Technological Applications for Forest Ecosystems. Earth's Future, 2021, vol. 9, iss. 8. URL: Link
2. Sinyavskiy N.G. [Risks of digitalization and economic security of the timber complex]. Ekonomicheskaya bezopasnost' = Economic Security, 2020, vol. 3, no. 3, pp. 377–390. (In Russ.) URL: Link
3. Vertakova Yu.V., Kryzhanovskaya O.A., Evchenko A.V. [Improving the system of State forest management taking into account foreign experience and Russian practice of digitalization of forest growth and management]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment = Proceedings of Southwest State University. Series: Economics, Sociology and Management, 2020, vol. 10, iss. 2, pp. 46–62. URL: Link (In Russ.)
4. Zhavoronkova N.G., Shpakovskii Yu.G. [Legal aspects of digitalization of the forest industry]. Pravo i tsifrovaya ekonomika = Law and Digital Economy, 2021, no. 4, pp. 77–83. URL: Link (In Russ.)
5. Shivaprakash K.N., Swami N., Mysorekar S. et al. Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India. Sustainability, 2022, vol. 14, iss. 12. URL: Link
6. Dainelli R., Toscano P., Di Gennaro S.F., Matese A. Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing – A Systematic Review. Part I: A General Framework. Forests, 2021, vol. 12, iss. 3. URL: Link
7. Kankaanhuhta V., Packalen T., Väätäinen K. Digital Transformation of Forest Services in Finland – A Case Study for Improving Business Processes. Forests, 2021, vol. 12, iss. 6. URL: Link
8. Evchenko A.V., Vertakova Yu.V. [Analysis of the main program and strategic documents in the use of digital technologies in forest management in Russia]. Estestvenno-gumanitarnye issledovaniya = Natural-Humanitarian Studies, 2020, no. 27, pp. 92–98. (In Russ.) URL: Link
9. Feroz A.K., Zo H., Chiravuri A. Digital Transformation and Environmental Sustainability: A Review and Research Agenda. Sustainability, 2021, vol. 13, iss. 3. URL: Link
10. Kanabkaew T., Mekbungwan P., Raksakietisak S., Kanchanasut K. Detection of PM_{2.5 Plume Movement from IoT Ground Level Monitoring Data. Environmental Pollution, 2019, vol. 252, part A, pp. 543–552. URL: Link}
11. Kuznetsova O.V. [Rates regulation of the sphere of solid municipal waste management]. Vestnik Samarskogo universiteta. Ekonomika i upravlenie = Vestnik of Samara University. Economics and Management, 2021, vol. 12, no. 2, pp. 51–58. (In Russ.) URL: Link
12. Kolesnikov R.V. [Digitalization as a method of improving the statistical support of municipal solid waste management]. Nauchnyi zhurnal NIU ITMO. Seriya: Ekonomika i ekologicheskii menedzhment, 2021, no. 4, pp. 131–141. (In Russ.) URL: Link
13. McGovern A., Elmore K.L., Gagne II D.J. et al. Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather. Bulletin of the American Meteorological Society, 2017, vol. 98, iss. 10, pp. 2073–2090. URL: Link
14. Lin C., Labzovskii L.D., Mak H.W.L. et al. Observation of PM_{2.5 Using a Combination of Satellite Remote Sensing and Low-cost Sensor Network in Siberian Urban Areas with Limited Reference Monitoring. Atmospheric Environment, 2020, vol. 227. URL: Link}

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