Subtopic Deep Dive

Digital Economy in Agriculture
Research Guide

What is Digital Economy in Agriculture?

Digital Economy in Agriculture examines the integration of digital technologies like precision farming, blockchain traceability, and AI systems into agricultural operations to enhance economic efficiency and sustainability.

Researchers analyze economic impacts of digital tools on farm productivity and financial performance, focusing on Russian agrarian enterprises amid resource constraints (Trukhachev et al., 2018, 21 citations). Studies highlight innovation adoption, digitalization trends in rural farms, and investment stimulation in the agro-industrial complex (Subaeva et al., 2022, 14 citations; Evstafieva and Borovskikh, 2023, 4 citations). Over 10 papers since 2018 quantify ROI barriers and technical modernization effects.

Curated Papers

Key Challenges

Why It Matters

Digital economy tools boost agricultural efficiency, addressing resource shortages in regions like Russia for sustainable development (Trukhachev et al., 2018). Innovations drive agribusiness growth amid global challenges, enabling food security through R&D and education reforms (Sokolova and Litvinenko, 2020; Kirillova et al., 2020). Management accounting systems and risk assessments support financial auditing, improving enterprise ROI during import substitution (Kudryashova et al., 2020; Zemlyakova, 2023). These applications enhance productivity for global food supply chains.

Key Research Challenges

Adoption Barriers in Digitalization

Farm enterprises face financial and material shortages hindering digital tool uptake (Trukhachev et al., 2018). Rural farms struggle with transitioning to innovative digital realities amid agrarian reforms (Subaeva et al., 2022). Technical re-equipment requires overcoming outdated infrastructure (Subaeva et al., 2022).

Investment Stimulation Gaps

Agro-industrial complex needs measures to boost investment activity despite vital production role (Evstafieva and Borovskikh, 2023). Economic risks escalate during import substitution, demanding risk identification (Zemlyakova, 2023). Labor resource inefficiencies persist in dynamic regions (Zaharova et al., 2023).

Efficiency Measurement Shortfalls

Monitoring enterprise efficiency reveals reserves but lacks standardized digital metrics (Trukhachev et al., 2018). Management accounting methods like full cost and standard cost need refinement for digital contexts (Kudryashova et al., 2020). Organic producer financial analysis shows trend gaps in organic sector growth (Babanskaya et al., 2023).

Essential Papers

Monitoring of Efficiency of Russian Agricultural Enterprises Functioning and Reserves for Their Sustainable Development

Vladimir Trukhachev, Igor Yu. Sklyarov, Yuliya Sklyarova et al. · 2018 · MONTENEGRIN JOURNAL OF ECONOMICS · 21 citations

The article deals with the actual problem of finding reserves and developing measures to improve the efficiency of agricultural enterprises for the Russian agrarian sector, which is in a situation ...

Innovation as a source of agribusiness development

А. П. Соколова, G. N. Litvinenko · 2020 · IOP Conference Series Earth and Environmental Science · 17 citations

Abstract The Innovative development is a key element and the most important condition for the progressive development of organizations of any line of activity and of any scale. Modern global challe...

ANALYSIS AND TRENDS OF RURAL DEVELOPMENT FARMS IN THE CONDITIONS OF DIGITALIZATION

Asiya Subaeva, Марат Калимуллин, Марат Низамутдинов et al. · 2022 · Vestnik of Kazan state agrarin university · 14 citations

In the course of agrarian transformations in agriculture in recent decades, there have been profound social and economic changes in the framework of agrarian reform. There has been a trend of trans...

Innovative directions of agricultural development aimed at ensuring food security in Russia

Olga Kirillova, Elmira Amirova, Maxim Kuznetsov et al. · 2020 · BIO Web of Conferences · 11 citations

The article emphasizes that for the innovative development of the Russian agricultural industry and ensuring the national food security, it is necessary to create a research and development sector ...

The organization of management accounting as a mechanism to improve the efficiency of agricultural enterprises

Yu. N. Kudryashova, Tatyana G. Lazareva, T. N. Makushina et al. · 2020 · BIO Web of Conferences · 9 citations

The article discusses a comparative analysis of full cost systems, “direct cost” and “standard cost”. A comparative characteristic and features of using the accrual method and the cash basis method...

ASSESSMENT OF THE DEVELOPMENT OF THE AGRO-INDUSTRIAL COMPLEX OF RUSSIA AND MEASURES TO STIMULATE ITS INVESTMENT ACTIVITY

АЛСУ ХУСАИНОВНА ЕВСТАФЬЕВА, Olga Borovskikh · 2023 · Vestnik of Kazan state agrarin university · 4 citations

The agro-industrial complex, producing products vital for society, is one of the most important components of the economy of the Russian Federation. The study was conducted to assess the developmen...

THEORETICAL FOUNDATIONS OF TECHNICAL MODERNIZATION OF AGRICULTURE IN THE CONTEXT OF DIGITAL TRANSFORMATION

Asiya Subaeva, Фарит Мухаметгалиев, Ilshat Mukhametshin et al. · 2022 · Vestnik of Kazan state agrarin university · 4 citations

Technical re-equipment in the economic literature involves equipping enterprises with new equipment, the introduction of progressive technologies, modernization and replacement of outdated and phys...

Reading Guide

Foundational Papers

No pre-2015 foundational papers available; begin with highest-cited Trukhachev et al. (2018) for efficiency monitoring baselines in Russian agriculture.

Recent Advances

Study Subaeva et al. (2022) for digitalization trends, Evstafieva and Borovskikh (2023) for investment measures, and Zemlyakova (2023) for economic risks in import substitution.

Core Methods

Efficiency analysis via comparative cost systems and time-series trends (Kudryashova et al., 2020; Babanskaya et al., 2023). Innovation assessment through technical modernization and risk identification (Subaeva et al., 2022; Zemlyakova, 2023).

How PapersFlow Helps You Research Digital Economy in Agriculture

Discover & Search

PapersFlow's Research Agent uses searchPapers and exaSearch to find literature on digital economy impacts, such as querying 'digitalization rural farms Russia' to retrieve Subaeva et al. (2022). citationGraph maps influence of Trukhachev et al. (2018) on later works like Evstafieva and Borovskikh (2023), while findSimilarPapers expands from Sokolova and Litvinenko (2020) to related innovation studies.

Analyze & Verify

Analysis Agent employs readPaperContent on Trukhachev et al. (2018) to extract efficiency metrics, then runPythonAnalysis with pandas to compute ROI trends from aggregated data across papers. verifyResponse via CoVe cross-checks claims against Kirillova et al. (2020), with GRADE grading evaluating evidence strength for food security innovations. Statistical verification confirms adoption barriers in Subaeva et al. (2022).

Synthesize & Write

Synthesis Agent detects gaps in investment stimulation literature from Evstafieva and Borovskikh (2023), flagging contradictions in risk assessments (Zemlyakova, 2023). Writing Agent uses latexEditText and latexSyncCitations to draft reports citing Kudryashova et al. (2020), with latexCompile generating polished PDFs and exportMermaid visualizing digital transformation workflows.

Use Cases

"Analyze ROI of digital tools in Russian farms from recent papers"

Research Agent → searchPapers + exaSearch → Analysis Agent → runPythonAnalysis (pandas on efficiency data from Trukhachev et al., 2018) → CSV export of quantified ROI trends.

"Write LaTeX report on digitalization barriers in agriculture"

Research Agent → findSimilarPapers (Subaeva et al., 2022) → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → peer-reviewed PDF report.

"Find code for farm efficiency simulation models"

Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo + githubRepoInspect → Python sandbox verification of models linked to innovation papers like Sokolova and Litvinenko (2020).

Automated Workflows

Deep Research workflow conducts systematic reviews of 50+ papers on digital economy, chaining searchPapers → citationGraph → structured report on trends from Trukhachev et al. (2018) to 2023 studies. DeepScan applies 7-step analysis with CoVe checkpoints to verify efficiency reserves in Subaeva et al. (2022), outputting graded summaries. Theorizer generates theories on investment-digitalization links from Evstafieva and Borovskikh (2023).

Try Doxa for Digital Economy in Agriculture Research

Frequently Asked Questions

What defines Digital Economy in Agriculture?

It examines economic impacts of digital technologies like precision farming and AI on agricultural operations (Trukhachev et al., 2018). Focus includes ROI quantification and adoption barriers in resource-constrained settings.

What methods are used?

Comparative analyses of cost systems (full cost, direct cost) and trend estimations assess efficiency (Kudryashova et al., 2020; Babanskaya et al., 2023). Risk identification evaluates import substitution effects (Zemlyakova, 2023).

What are key papers?

Trukhachev et al. (2018, 21 citations) monitors efficiency reserves; Subaeva et al. (2022, 14 citations) analyzes digitalization trends; Evstafieva and Borovskikh (2023, 4 citations) assesses investment stimulation.

What open problems exist?

Standardizing digital metrics for enterprise efficiency persists (Trukhachev et al., 2018). Labor resource optimization in digital contexts remains unaddressed (Zaharova et al., 2023). Organic sector financial potentials need deeper ROI scaling (Babanskaya et al., 2023).