IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i4p519-d1363149.html
   My bibliography  Save this article

A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries

Author

Listed:
  • Claudiu George Bocean

    (Department of Management, Marketing and Business Administration, Faculty of Economics and Business Administration, University of Craiova, 13 AI Cuza Street, 200585 Craiova, Romania)

Abstract

Amidst the rapid evolution of digital technologies and their prospective implications for agricultural productivity, farmers are increasingly turning to Agriculture 4.0. As digitization permeates every facet of agriculture, the potential for boosting productivity while ensuring sustainability and resilience becomes increasingly tangible. The objective of this study is to understand how the adoption of digital technologies influences agricultural productivity within the diverse socioeconomic and agricultural landscapes of EU nations. The research of this study aims to address questions concerning the impact of digital technology use on agricultural productivity across EU countries. This study employs a robust analytical framework combining equation modeling (SEM), artificial neural networks, and cluster analysis. SEM analysis reveals significant associations and influences between digital technology use and productivity related to the total labor force across EU countries. Moreover, cluster analysis outlines distinct clusters of EU member states distinguished by varying degrees of digital technology incorporation and corresponding agricultural productivity, emphasizing the diverse socioeconomic contexts that influence these associations. These findings underscore the significance of embracing digital technology as a catalyst for enhancing agricultural productivity across EU nations. Future research could focus on devising strategies to promote the widespread adoption of digital technologies in agriculture across EU member states, and longitudinal analyses could offer insights into the dynamic relationship between digital technology use and agricultural output, informing policy interventions.

Suggested Citation

  • Claudiu George Bocean, 2024. "A Cross-Sectional Analysis of the Relationship between Digital Technology Use and Agricultural Productivity in EU Countries," Agriculture, MDPI, vol. 14(4), pages 1-24, March.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:4:p:519-:d:1363149
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/4/519/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/4/519/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Achmad T. Nugraha & Gunawan Prayitno & Faizah A. Azizi & Nindya Sari & Izatul Ihsansi Hidayana & Aidha Auliah & Enock Siankwilimba, 2023. "Structural Equation Model (SEM) of Social Capital with Landowner Intention," Economies, MDPI, vol. 11(4), pages 1-16, April.
    2. Regina Birner & Thomas Daum & Carl Pray, 2021. "Who drives the digital revolution in agriculture? A review of supply‐side trends, players and challenges," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1260-1285, December.
    3. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    4. Emerson Rodolfo Abraham & João Gilberto Mendes dos Reis & Oduvaldo Vendrametto & Pedro Luiz de Oliveira Costa Neto & Rodrigo Carlo Toloi & Aguinaldo Eduardo de Souza & Marcos de Oliveira Morais, 2020. "Time Series Prediction with Artificial Neural Networks: An Analysis Using Brazilian Soybean Production," Agriculture, MDPI, vol. 10(10), pages 1-18, October.
    5. Ruoxi Zhong & Qiang He & Yanbin Qi, 2022. "Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China," IJERPH, MDPI, vol. 19(11), pages 1-18, May.
    6. Ayalew, Hailemariam & Chamberlin, Jordan & Newman, Carol, 2022. "Site-specific agronomic information and technology adoption: A field experiment from Ethiopia," Journal of Development Economics, Elsevier, vol. 156(C).
    7. Delphine Renard & David Tilman, 2019. "National food production stabilized by crop diversity," Nature, Nature, vol. 571(7764), pages 257-260, July.
    8. Zhou, Jiehong & Jin, Yu & Liang, Qiao, 2022. "Effects of regulatory policy mixes on traceability adoption in wholesale markets: Food safety inspection and information disclosure," Food Policy, Elsevier, vol. 107(C).
    9. Prasad, Pooja & Damani, Om P. & Sohoni, Milind, 2022. "How can resource-level thresholds guide sustainable intensification of agriculture at farm level? A system dynamics study of farm-pond based intensification," Agricultural Water Management, Elsevier, vol. 264(C).
    10. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    11. Robert M. Chiles & Garrett Broad & Mark Gagnon & Nicole Negowetti & Leland Glenna & Megan A. M. Griffin & Lina Tami-Barrera & Siena Baker & Kelly Beck, 2021. "Democratizing ownership and participation in the 4th Industrial Revolution: challenges and opportunities in cellular agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(4), pages 943-961, December.
    12. Khan, Feroz & Ali, Yousaf, 2022. "Moving towards a sustainable circular bio-economy in the agriculture sector of a developing country," Ecological Economics, Elsevier, vol. 196(C).
    13. Qi Jiang & Jizhi Li & Hongyun Si & Yangyue Su, 2022. "The Impact of the Digital Economy on Agricultural Green Development: Evidence from China," Agriculture, MDPI, vol. 12(8), pages 1-22, July.
    14. Johanna Pfeiffer & Andreas Gabriel & Markus Gandorfer, 2021. "Understanding the public attitudinal acceptance of digital farming technologies: a nationwide survey in Germany," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(1), pages 107-128, February.
    15. Tianyu Qin & Lijun Wang & Yanxin Zhou & Liyue Guo & Gaoming Jiang & Lei Zhang, 2022. "Digital Technology-and-Services-Driven Sustainable Transformation of Agriculture: Cases of China and the EU," Agriculture, MDPI, vol. 12(2), pages 1-16, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Katrin Martens & Jana Zscheischler, 2022. "The Digital Transformation of the Agricultural Value Chain: Discourses on Opportunities, Challenges and Controversial Perspectives on Governance Approaches," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    2. Wen Yao & Zhuo Sun, 2023. "The Impact of the Digital Economy on High-Quality Development of Agriculture: A China Case Study," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    3. Ingram, Julie & Maye, Damian & Bailye, Clive & Barnes, Andrew & Bear, Christopher & Bell, Matthew & Cutress, David & Davies, Lynfa & de Boon, Auvikki & Dinnie, Liz & Gairdner, Julian & Hafferty, Caitl, 2022. "What are the priority research questions for digital agriculture?," Land Use Policy, Elsevier, vol. 114(C).
    4. Zhiqiang Zhou & Wenyan Liu & Huilin Wang & Jingyu Yang, 2022. "The Impact of Environmental Regulation on Agricultural Productivity: From the Perspective of Digital Transformation," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    5. Divya Suresh & Abhishek Choudhury & Yinjia Zhang & Zhiying Zhao & Rajib Shaw, 2024. "The Role of Data-Driven Agritech Startups—The Case of India and Japan," Sustainability, MDPI, vol. 16(11), pages 1-17, May.
    6. Sarah Hackfort, 2021. "Patterns of Inequalities in Digital Agriculture: A Systematic Literature Review," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    7. Juan D. Borrero & Jesús Mariscal, 2022. "A Case Study of a Digital Data Platform for the Agricultural Sector: A Valuable Decision Support System for Small Farmers," Agriculture, MDPI, vol. 12(6), pages 1-15, May.
    8. Jian Li & Xiangchen Sheng & Shuhua Zhang & Yixuan Wang, 2024. "Research on the Impact of the Digital Economy and Technological Innovation on Agricultural Carbon Emissions," Land, MDPI, vol. 13(6), pages 1-18, June.
    9. Wolfert, Sjaak & Verdouw, Cor & van Wassenaer, Lan & Dolfsma, Wilfred & Klerkx, Laurens, 2023. "Digital innovation ecosystems in agri-food: design principles and organizational framework," Agricultural Systems, Elsevier, vol. 204(C).
    10. Nasiphi Vusokazi Bontsa & Abbyssinia Mushunje & Saul Ngarava, 2023. "Factors Influencing the Perceptions of Smallholder Farmers towards Adoption of Digital Technologies in Eastern Cape Province, South Africa," Agriculture, MDPI, vol. 13(8), pages 1-16, July.
    11. Ha, Le Thanh, 2023. "An investigation of digital integration's importance on smart and sustainable agriculture in the European region," Resources Policy, Elsevier, vol. 86(PA).
    12. Juan Manuel Vargas-Canales, 2023. "Technological Capabilities for the Adoption of New Technologies in the Agri-Food Sector of Mexico," Agriculture, MDPI, vol. 13(6), pages 1-16, May.
    13. Wysel, Matthew & Baker, Derek & Billingsley, William, 2021. "Data sharing platforms: How value is created from agricultural data," Agricultural Systems, Elsevier, vol. 193(C).
    14. Steinke, Jonathan & Ortiz-Crespo, Berta & van Etten, Jacob & Müller, Anna, 2022. "Participatory design of digital innovation in agricultural research-for-development: insights from practice," Agricultural Systems, Elsevier, vol. 195(C).
    15. Mohr, Svenja & Höhler, Julia, 2023. "Media coverage of digitalization in agriculture - an analysis of media content," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    16. Klingenberg, Cristina Orsolin & Valle Antunes Júnior, José Antônio & Müller-Seitz, Gordon, 2022. "Impacts of digitalization on value creation and capture: Evidence from the agricultural value chain," Agricultural Systems, Elsevier, vol. 201(C).
    17. Ancín, María & Pindado, Emilio & Sánchez, Mercedes, 2022. "New trends in the global digital transformation process of the agri-food sector: An exploratory study based on Twitter," Agricultural Systems, Elsevier, vol. 203(C).
    18. Qi Jiang & Jizhi Li & Hongyun Si & Yangyue Su, 2022. "The Impact of the Digital Economy on Agricultural Green Development: Evidence from China," Agriculture, MDPI, vol. 12(8), pages 1-22, July.
    19. Yue Cheng & Dong Zheng, 2023. "Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    20. Yihui Chen & Minjie Li, 2024. "How does the digital transformation of agriculture affect carbon emissions? Evidence from China’s provincial panel data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:4:p:519-:d:1363149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.