| Issue |
E3S Web Conf.
Volume 670, 2025
2nd International Conference on the Agro-Environmental Nexus: Land, Water & Energy for Sustainable Development (IC-AEN 2025)
|
|
|---|---|---|
| Article Number | 03010 | |
| Number of page(s) | 14 | |
| Section | Food–Energy–Water Nexus and Circular Bioresource Valorization | |
| DOI | https://doi.org/10.1051/e3sconf/202567003010 | |
| Published online | 01 December 2025 | |
Digital index for ESG-aligned accounting in agriculture
1 Ural State University of Economics, Yekaterinburg, Russia
2 Transbaikal Agricultural Institute, a branch of Irkutsk State Agrarian University named after A.A. Ezhevskiy, Chita, Russia
3 Bryansk State Engineering and Technological University, Bryansk, Russia
4 Kabardino-Balkarian State Agrarian University named after V.M. Kokov, Nalchik, Russia
5 Crimean Engineering and Pedagogical University named after Fevzi Yakubov, Simferopol, Crimée
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study examines how the digital transformation of accounting and analytical information (A&AI) can support the environmental sustainability of agricultural enterprises. We develop a conceptual model that links enterprise resource and financial records with agri-environmental indicators relevant to the water-energy-food nexus, including GHG intensity, water and energy use, soil-related metrics, waste and by-product recovery, and regulatory compliance. The methodology combines (i) mapping of A&AI structures to environmental accounting and life-cycle assessment data flows, (ii) the use of digital inputs (ERP logs, IoT/RS proxies, e-document flow) to generate traceable, auditable eco-metrics, and (iii) a field survey across producers, processors and market enterprises. We propose an Agri-Environmental Digitalization Index (AEDI) to assess readiness along five pillars: data governance and traceability; climate footprint coverage; water-energy efficiency accounting; circularity and waste valorization; and eco-compliance/EIA reporting. Applying the matrix of 25 criteria demonstrates moderate readiness and uneven coverage of environmental indicators, especially among SMEs. The results show that digitized A&AI enables enterprise-level monitoring, verification and reporting of environmental performance, improves decision-making for resource efficiency (e.g., fertilization and irrigation scheduling, energy management, waste reutilization), and aligns managerial control with ESG and cleaner-production objectives. The proposed framework operationalizes sustainability accounting in agriculture and provides a practical instrument for scaling low-carbon, resource-efficient development pathways.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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