Toward FSDN-type sustainability monitoring: readiness and data quality risks in Ukrainian agricultural enterprises under wartime conditions

Abstract The Farm Sustainability Data Network (FSDN) enlarges the Farm Accountancy Data Network from economic accounting into multi-domain sustainability monitoring. Its usefulness, however, depends on whether enterprises and institutions can jointly produce data that are consistent, comparable, and trusted. We examine this problem in wartime Ukraine through 53 semi-structured interviews conducted in June–August 2025 with accounting professionals and enterprise managers from predominantly medium and large agricultural enterprises. Respondents generally did not reject sustainability reporting. They questioned whether it could be integrated into existing routines without duplicating administrative work, whether environmental indicators could be measured consistently, and whether commercially sensitive data would be protected. Preferences for voluntary or mixed participation, external technical support, cost compensation, and clear rules for data use indicate that perceived readiness is relational: it rests on the fit between enterprise capacity and the surrounding data-governance architecture. Wartime scarcity intensifies these concerns but does not alone explain them. The findings do not establish sector-wide readiness or validate a particular implementation model. They suggest that early implementation should privilege indicators with clear provenance, interoperability with existing records, transparent quality-control pathways, and credible reciprocal value for participants. Data quality, on this account, is an institutional outcome rather than a property of individual reports.

Authors

Publication Details

Journal
Discover Sustainability
Published
2026-10-12
DOI
https://doi.org/10.1007/s43621-026-04853-8
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward FSDN-type sustainability monitoring: readiness and data quality risks in Ukrainian agricultural enterprises under wartime conditions

Volodymyr Metelytsia, Vladislav Valentinov, Taras Gagalyuk
Discover Sustainability
Corporate Social Responsibility Reporting
article

Toward FSDN-type sustainability monitoring: readiness and data quality risks in Ukrainian agricultural enterprises under wartime conditions

Volodymyr Metelytsia, Vladislav Valentinov, Taras Gagalyuk
article en

Abstract

Abstract The Farm Sustainability Data Network (FSDN) enlarges the Farm Accountancy Data Network from economic accounting into multi-domain sustainability monitoring. Its usefulness, however, depends on whether enterprises and institutions can jointly produce data that are consistent, comparable, and trusted. We examine this problem in wartime Ukraine through 53 semi-structured interviews conducted in June–August 2025 with accounting professionals and enterprise managers from predominantly medium and large agricultural enterprises. Respondents generally did not reject sustainability reporting. They questioned whether it could be integrated into existing routines without duplicating administrative work, whether environmental indicators could be measured consistently, and whether commercially sensitive data would be protected. Preferences for voluntary or mixed participation, external technical support, cost compensation, and clear rules for data use indicate that perceived readiness is relational: it rests on the fit between enterprise capacity and the surrounding data-governance architecture. Wartime scarcity intensifies these concerns but does not alone explain them. The findings do not establish sector-wide readiness or validate a particular implementation model. They suggest that early implementation should privilege indicators with clear provenance, interoperability with existing records, transparent quality-control pathways, and credible reciprocal value for participants. Data quality, on this account, is an institutional outcome rather than a property of individual reports.

Discover Sustainability
Openalex Percentile: Top 8%
Corporate Social Responsibility Reporting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.