PapersFlow Research Brief
Digitalization and Economic Development in Agriculture
Research Guide
What is Digitalization and Economic Development in Agriculture?
Digitalization and Economic Development in Agriculture is the application of digital technologies such as Industry 4.0 and artificial intelligence to enhance sustainable development, innovation, and economic growth in agricultural sectors within the knowledge and digital economies.
The field encompasses 18,026 works analyzing sustainable development, knowledge economy, Industry 4.0, digital economy, innovation, energy alternatives, social entrepreneurship, global economy, artificial intelligence, and regional development. Papers examine challenges and opportunities for sustainable development amid evolving economic and technological contexts. Growth data over the past five years is not available.
Topic Hierarchy
Research Sub-Topics
Precision Agriculture Technologies
Researchers examine IoT sensors, drones, and GIS for site-specific crop management in digital farming systems. Studies quantify yield improvements, input reductions, and scalability in smallholder contexts.
Digital Platforms in Agricultural Supply Chains
This area analyzes blockchain, marketplaces, and data-sharing platforms for transparent trading and logistics in agri-food chains. Research assesses SME adoption barriers and market access gains.
AI Applications in Farm Management
Investigations cover machine learning for predictive analytics in pest detection, yield forecasting, and irrigation optimization. Studies evaluate model accuracy across diverse cropping systems.
Digitalization of Small and Medium Agricultural Enterprises
Researchers study SME digital transformation challenges, including ERP adoption and skill gaps in rural settings. Empirical work measures performance uplifts from cloud-based tools.
Big Data Analytics for Agricultural Policy
This sub-topic explores satellite and farm data integration for evidence-based policies on subsidies and risk management. Analyses focus on regional disparities and sustainable development indicators.
Why It Matters
Digitalization supports economic development in agriculture by integrating technologies like AI and Industry 4.0, which address sustainable practices and regional growth. For instance, Popkova and Sergi (2020) in "Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia" identify convergence of human intellect and AI in social entrepreneurship, enabling scalable agricultural innovations in Russia. Khalin and Chernova (2018) in "Digitalization and Its Impact on the Russian Economy and Society: Advantages, Challenges, Threats and Risks" outline digitalization's role in economic transformation, with implications for agriculture through digital representation of information and processes that boost productivity. Eller et al. (2020) in "Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization" highlight SME digitalization outcomes, relevant to agricultural businesses where 716 citations reflect its impact on strategy and management.
Reading Guide
Where to Start
"Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization" by Eller et al. (2020) as it provides a foundational analysis of digitalization processes relevant to agricultural SMEs, with 716 citations establishing core concepts.
Key Papers Explained
Eller et al. (2020) in "Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization" sets the stage for SME digitalization challenges, which Schwertner (2017) in "Digital transformation of business" expands to business-wide technology integration. Popkova and Sergi (2020) in "Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia" builds on this by applying AI-human convergence to entrepreneurship, while Popkova (2018) in "Preconditions of Formation and Development of Industry 4.0 in the Conditions of Knowledge Economy" details enabling conditions. Teng et al. (2022) in "Research on the Relationship between Digital Transformation and Performance of SMEs" empirically connects these to performance outcomes.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Recent preprints show no new activity in the past six months, indicating a focus on established Industry 4.0 frameworks from top papers like Popkova (2018). News coverage over the last 12 months is absent, suggesting ongoing reliance on empirical SME studies such as Teng et al. (2022).
Papers at a Glance
Frequently Asked Questions
What are the main challenges of SME digitalization in agriculture-related enterprises?
Eller et al. (2020) in "Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization" identify antecedents, consequences, and specific challenges of digitalization for SMEs. These firms face barriers in integrating digital technologies across business aspects. The paper, with 716 citations, emphasizes strategic management needs for agricultural SMEs.
How does digital transformation apply to business in agricultural economies?
Schwertner (2017) in "Digital transformation of business" describes digital transformation as changes from applying digital technology in all business aspects. Maturing digital businesses integrate technologies like social tools for agricultural operations. This approach supports economic development in agriculture.
What role does AI play in Industry 4.0 for agricultural social entrepreneurship?
Popkova and Sergi (2020) in "Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia" explore convergence and divergence of human capital and AI in entrepreneurship. Convergence uses both simultaneously in social ventures fitting agriculture. The study determines optimal proportions for Industry 4.0 contexts.
What preconditions enable Industry 4.0 in knowledge economy agriculture?
Popkova (2018) in "Preconditions of Formation and Development of Industry 4.0 in the Conditions of Knowledge Economy" outlines conditions for Industry 4.0 formation. These include knowledge economy factors supporting digitalization in agriculture. The work ties into sustainable development goals.
How does digitalization impact performance of agricultural SMEs?
Teng et al. (2022) in "Research on the Relationship between Digital Transformation and Performance of SMEs" empirically analyze digital transformation's effect on SME performance. Influencing factors determine sustainable development for agricultural SMEs. The study provides references for decision makers.
What are the advantages and risks of digitalization for agricultural economies?
Khalin and Chernova (2018) in "Digitalization and Its Impact on the Russian Economy and Society: Advantages, Challenges, Threats and Risks" detail digitalization's effects based on digital information representation. It offers advantages like efficiency gains for agriculture but poses challenges, threats, and risks. The paper addresses broader economic and social impacts.
Open Research Questions
- ? What are the optimal proportions of human intellect versus AI in agricultural social entrepreneurship under Industry 4.0?
- ? What specific preconditions must knowledge economies meet for Industry 4.0 development in agriculture?
- ? How do antecedents and challenges of SME digitalization vary across agricultural regions?
- ? What convergence or divergence patterns emerge between human capital and AI in Russian agricultural entrepreneurship?
- ? Which factors most strongly link digital transformation to sustainable performance in agricultural SMEs?
Recent Trends
The field maintains 18,026 works with no specified five-year growth rate.
Teng et al. in "Research on the Relationship between Digital Transformation and Performance of SMEs" represents recent empirical focus on SME performance, building on earlier works like Eller et al. (2020).
2022No preprints or news in the last six and 12 months indicate steady consolidation of Industry 4.0 themes from Popkova .
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