IDEAS home Printed from https://ideas.repec.org/a/spr/agfoec/v10y2022i1d10.1186_s40100-022-00236-5.html
   My bibliography  Save this article

The long way to innovation adoption: insights from precision agriculture

Author

Listed:
  • Margherita Masi

    (University of Bologna)

  • Marcello Rosa

    (University of Cassino and Southern Lazio)

  • Yari Vecchio

    (University of Bologna)

  • Luca Bartoli

    (University of Cassino and Southern Lazio)

  • Felice Adinolfi

    (University of Bologna)

Abstract

The adoption of innovations may boost the transition to sustainable agricultural models. Among these innovations, precision farming offers a fundamental contribution to sustainable soil management and the improvement in product quality. The work is set against this background and aims to analyse the rate of introducing precision farming tools and the variables that prevent/facilitate this adoption. Although adoption rates in Italy remain relatively low, it is vital to underline the obstacles that limit the broader use of precision agricultural technologies inside farms. To this end, the literature has highlighted various elements of complexity (farm characteristics, socio-economic and psychological), which can hinder or generate perceived complexity and significantly reduce the potential for technology adoption. In this context emerges the increasing importance of public and private activities related to knowledge transfer. The paper focuses on agricultural knowledge and innovation systems, which are also relevant in light of the recent proposal for the new regulation on rural development. The awareness–knowledge–adoption–product (AKAP) sequence was used to reveal the gap between the potential and actual adoption of innovation on Italian farms to comprehend the adoption process and identify relevant barriers and the role knowledge systems played. Empirical findings show that AKIS has a critical mediating function in promoting innovation uptake. Strengthening knowledge systems, acting on the different phases of the AKAP sequence, could allow a greater understanding of precision agriculture techniques and bottlenecks to adoption.

Suggested Citation

  • Margherita Masi & Marcello Rosa & Yari Vecchio & Luca Bartoli & Felice Adinolfi, 2022. "The long way to innovation adoption: insights from precision agriculture," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-17, December.
    • Handle: RePEc:spr:agfoec:v:10:y:2022:i:1:d:10.1186_s40100-022-00236-5
    DOI: 10.1186/s40100-022-00236-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40100-022-00236-5
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s40100-022-00236-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Johannes Sauer & Hans Vrolijk, 2019. "Innovation and performance – evidence at micro level," Applied Economics, Taylor & Francis Journals, vol. 51(43), pages 4673-4699, September.
    2. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    3. John L. Dillon & J. R. Anderson, 1971. "Allocative Efficiency, Traditional Agriculture, and Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(1), pages 26-32.
    4. Philip J. Dawson & John Lingard & Christopher H. Woodford, 1991. "A Generalized Measure of Farm-Specific Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1098-1104.
    5. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    6. Madhu Khanna, 2021. "Digital Transformation of the Agricultural Sector: Pathways, Drivers and Policy Implications," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1221-1242, December.
    7. Kassie, Menale & Jaleta, Moti & Shiferaw, Bekele & Mmbando, Frank & Mekuria, Mulugetta, 2013. "Adoption of interrelated sustainable agricultural practices in smallholder systems: Evidence from rural Tanzania," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 525-540.
    8. Friederike Welter, 2011. "Contextualizing Entrepreneurship—Conceptual Challenges and Ways Forward," Entrepreneurship Theory and Practice, , vol. 35(1), pages 165-184, January.
    9. Schnebelin, Éléonore, 2022. "Linking the diversity of ecologisation models to farmers' digital use profiles," Ecological Economics, Elsevier, vol. 196(C).
    10. Klerkx, Laurens & Begemann, Stephanie, 2020. "Supporting food systems transformation: The what, why, who, where and how of mission-oriented agricultural innovation systems," Agricultural Systems, Elsevier, vol. 184(C).
    11. Chrysanthi Charatsari & Evagelos D. Lioutas & Alex Koutsouris, 2020. "Farmer field schools and the co-creation of knowledge and innovation: the mediating role of social capital," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(4), pages 1139-1154, December.
    12. Faber, Albert & Hoppe, Thomas, 2013. "Co-constructing a sustainable built environment in the Netherlands—Dynamics and opportunities in an environmental sectoral innovation system," Energy Policy, Elsevier, vol. 52(C), pages 628-638.
    13. Shi Zheng & Zhigang Wang & Cheryl Joy Wachenheim, 2018. "Technology adoption among farmers in Jilin Province, China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(1), pages 206-216, August.
    14. Yari Vecchio & Marcello De Rosa & Gregorio Pauselli & Margherita Masi & Felice Adinolfi, 2022. "The leading role of perception: the FACOPA model to comprehend innovation adoption," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-19, December.
    15. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    16. McBride, William D. & Daberkow, Stan G., 2003. "Information And The Adoption Of Precision Farming Technologies," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 21(1), pages 1-18.
    17. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    18. Kassem, Hazem S. & Alotaibi, Bader Alhafi & Muddassir, Muhammad & Herab, Ahmed, 2021. "Factors influencing farmers’ satisfaction with the quality of agricultural extension services," Evaluation and Program Planning, Elsevier, vol. 85(C).
    19. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    20. 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.
    21. Nabil Amara & Namatié Traoré & Réjean Landry & Robert Remain, 1999. "Technical Efficiency and Farmers' Attitudes toward Technological Innovation: The Case of the Potato Farmers in Quebec," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 47(1), pages 31-43, March.
    22. Giua, Carlo & Materia, Valentina Cristiana & Camanzi, Luca, 2022. "Smart farming technologies adoption: Which factors play a role in the digital transition?," Technology in Society, Elsevier, vol. 68(C).
    23. Turner, James A. & Klerkx, Laurens & White, Toni & Nelson, Tracy & Everett-Hincks, Julie & Mackay, Alec & Botha, Neels, 2017. "Unpacking systemic innovation capacity as strategic ambidexterity: How projects dynamically configure capabilities for agricultural innovation," Land Use Policy, Elsevier, vol. 68(C), pages 503-523.
    24. Vecchio, Yari & De Rosa, Marcello & Adinolfi, Felice & Bartoli, Luca & Masi, Margherita, 2020. "Adoption of precision farming tools: A context-related analysis," Land Use Policy, Elsevier, vol. 94(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Margherita Masi & Jorgelina Di Pasquale & Yari Vecchio & Fabian Capitanio, 2023. "Precision Farming: Barriers of Variable Rate Technology Adoption in Italy," Land, MDPI, vol. 12(5), pages 1-16, May.

    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. Vecchio, Yari & De Rosa, Marcello & Adinolfi, Felice & Bartoli, Luca & Masi, Margherita, 2020. "Adoption of precision farming tools: A context-related analysis," Land Use Policy, Elsevier, vol. 94(C).
    2. Robert Finger, 2023. "Digital innovations for sustainable and resilient agricultural systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1277-1309.
    3. da Silveira, Franco & da Silva, Sabrina Letícia Couto & Machado, Filipe Molinar & Barbedo, Jayme Garcia Arnal & Amaral, Fernando Gonçalves, 2023. "Farmers' perception of the barriers that hinder the implementation of agriculture 4.0," Agricultural Systems, Elsevier, vol. 208(C).
    4. Madhu Khanna & Shady S. Atallah & Saurajyoti Kar & Bijay Sharma & Linghui Wu & Chengzheng Yu & Girish Chowdhary & Chinmay Soman & Kaiyu Guan, 2022. "Digital transformation for a sustainable agriculture in the United States: Opportunities and challenges," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 924-937, November.
    5. Vecchio, Yari & Di Pasquale, Jorgelina & Del Giudice, Teresa & Pauselli, Gregorio & Masi, Margherita & Adinolfi, Felice, 2022. "Precision farming: what do Italian farmers really think? An application of the Q methodology," Agricultural Systems, Elsevier, vol. 201(C).
    6. Kangogo, Daniel & Dentoni, Domenico & Bijman, Jos, 2021. "Adoption of climate‐smart agriculture among smallholder farmers: Does farmer entrepreneurship matter?," Land Use Policy, Elsevier, vol. 109(C).
    7. Giua, Carlo & Materia, Valentina Cristiana & Camanzi, Luca, 2022. "Smart farming technologies adoption: Which factors play a role in the digital transition?," Technology in Society, Elsevier, vol. 68(C).
    8. Lioutas, Evagelos D. & Charatsari, Chrysanthi, 2020. "Smart farming and short food supply chains: Are they compatible?," Land Use Policy, Elsevier, vol. 94(C).
    9. Stefania Troiano & Matteo Carzedda & Francesco Marangon, 2023. "Better richer than environmentally friendly? Describing preferences toward and factors affecting precision agriculture adoption in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-15, December.
    10. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    11. 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).
    12. Yari Vecchio & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Fabian Capitanio, 2020. "Adoption of Precision Farming Tools: The Case of Italian Farmers," IJERPH, MDPI, vol. 17(3), pages 1-16, January.
    13. Wang, Tong & Jin, Hailong & Sieverding, Heidi & Kumar, Sandeep & Miao, Yuxin & Rao, Xudong & Obembe, Oladipo & Mirzakhani Nafchi, Ali & Redfearn, Daren & Cheye, Stephen, 2023. "Understanding farmer views of precision agriculture profitability in the U.S. Midwest," Ecological Economics, Elsevier, vol. 213(C).
    14. Wang, Tong & Jin, Hailong & Sieverding, Heidi L. & Rao, Xudong & Miao, Yuxin & Kumar, Sandeep & Redfearn, Daren & Nafchi, Ali, 2022. "Understanding farmer perceptions of precision agriculture profitability in the U.S. Midwest," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322502, Agricultural and Applied Economics Association.
    15. Madhu Khanna, 2021. "Digital Transformation of the Agricultural Sector: Pathways, Drivers and Policy Implications," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1221-1242, December.
    16. Huber, Robert & Späti, Karin & Finger, Robert, 2023. "A behavioural agent-based modelling approach for the ex-ante assessment of policies supporting precision agriculture," Ecological Economics, Elsevier, vol. 212(C).
    17. Yari Vecchio & Marcello De Rosa & Gregorio Pauselli & Margherita Masi & Felice Adinolfi, 2022. "The leading role of perception: the FACOPA model to comprehend innovation adoption," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-19, December.
    18. Lioutas, Evagelos D. & Charatsari, Chrysanthi & De Rosa, Marcello, 2021. "Digitalization of agriculture: A way to solve the food problem or a trolley dilemma?," Technology in Society, Elsevier, vol. 67(C).
    19. Paulus, Michael & Pfaff, Sara Anna, 2022. "Factors Affecting the Diffusion of Digital Farming Towards More Resilient Farming Systems - Empirical Evidence from Baden-Württemberg," 62nd Annual Conference, Stuttgart, Germany, September 7-9, 2022 329597, German Association of Agricultural Economists (GEWISOLA).
    20. Monteiro Moretti, Débora & Baum, Chad M. & Ehlers, Melf-Hinrich & Finger, Robert & Bröring, Stefanie, 2023. "Exploring actors' perceptions of the precision agriculture innovation system – A Group Concept Mapping approach in Germany and Switzerland," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    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:spr:agfoec:v:10:y:2022:i:1:d:10.1186_s40100-022-00236-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.