IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v182y2022ics0040162522003493.html
   My bibliography  Save this article

Behavioural drivers and barriers for adopting microbial applications in arable farms: Evidence from the Netherlands and Germany

Author

Listed:
  • Tensi, Annika Francesca
  • Ang, Frederic
  • van der Fels-Klerx, H.J.

Abstract

Microbial applications contribute to more sustainable agriculture by stimulating plant growth, increasing resistance to pests and diseases and relieving stresses from climate change. To stimulate the adoption of microbial applications, it is important to understand the underlying reasons for farmers' adoption decision. In this article, we investigate the behavioural drivers and barriers associated with the likelihood to adopt microbial applications. We employ the Behaviour Change Wheel and its capability, opportunity, motivation-behaviour (COM-B) model. Data were collected via an online survey among 196 Dutch and German arable farmers. We find that trust in microbial applications is an important driver and that lack of knowledge and professional support are barriers for the adoption of microbial applications. On this basis, we recommend three interventions: i) norm creation and enablement, ii) education and learning, and iii) trust building by providing incentives. The acceptance and success of a behavioural intervention depends on the choice of the interventionist. For instance, the role of governmental institutions in enforcing the adoption of microbial applications is perceived as problematic by farmers. Instead, farmers expect advisers and farmer organisations to become active in knowledge transmission and field studies.

Suggested Citation

  • Tensi, Annika Francesca & Ang, Frederic & van der Fels-Klerx, H.J., 2022. "Behavioural drivers and barriers for adopting microbial applications in arable farms: Evidence from the Netherlands and Germany," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  • Handle: RePEc:eee:tefoso:v:182:y:2022:i:c:s0040162522003493
    DOI: 10.1016/j.techfore.2022.121825
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522003493
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2022.121825?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Micheels, Eric T. & Nolan, James F., 2016. "Examining the effects of absorptive capacity and social capital on the adoption of agricultural innovations: A Canadian Prairie case study," Agricultural Systems, Elsevier, vol. 145(C), pages 127-138.
    2. Yigezu, Yigezu Atnafe & Mugera, Amin & El-Shater, Tamer & Aw-Hassan, Aden & Piggin, Colin & Haddad, Atef & Khalil, Yaseen & Loss, Stephen, 2018. "Enhancing adoption of agricultural technologies requiring high initial investment among smallholders," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 199-206.
    3. Robert West & Susan Michie & G. James Rubin & Richard Amlôt, 2020. "Applying principles of behaviour change to reduce SARS-CoV-2 transmission," Nature Human Behaviour, Nature, vol. 4(5), pages 451-459, May.
    4. Möhring, Niklas & Finger, Robert, 2022. "Pesticide-free but not organic: Adoption of a large-scale wheat production standard in Switzerland," Food Policy, Elsevier, vol. 106(C).
    5. Joost M.E. Pennings & Scott H. Irwin & Darrel L. Good, 2002. "Surveying Farmers: A Case Study," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(1), pages 266-277.
    6. Ojo, T.O. & Ogundeji, A.A. & Belle, J.A., 2021. "Climate change perception and impact of on-farm demonstration on intensity of adoption of adaptation strategies among smallholder farmers in South Africa," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    7. Margarita Genius & Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2014. "Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 328-344.
    8. Khataza, Robertson R.B. & Doole, Graeme J. & Kragt, Marit E. & Hailu, Atakelty, 2018. "Information acquisition, learning and the adoption of conservation agriculture in Malawi: A discrete-time duration analysis," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 299-307.
    9. Manda, Julius & Khonje, Makaiko G. & Alene, Arega D. & Tufa, Adane H & Abdoulaye, Tahirou & Mutenje, Munyaradzi & Setimela, Peter & Manyong, Victor, 2020. "Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    10. Bakker, L. & Sok, J. & van der Werf, W. & Bianchi, F.J.J.A., 2021. "Kicking the Habit: What Makes and Breaks Farmers' Intentions to Reduce Pesticide Use?," Ecological Economics, Elsevier, vol. 180(C).
    11. François J Dessart & Jesús Barreiro-Hurlé & René van Bavel, 2019. "Behavioural factors affecting the adoption of sustainable farming practices: a policy-oriented review," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(3), pages 417-471.
    12. Björn Hedin & Cecilia Katzeff & Elina Eriksson & Daniel Pargman, 2019. "A Systematic Review of Digital Behaviour Change Interventions for More Sustainable Food Consumption," Sustainability, MDPI, vol. 11(9), pages 1-23, May.
    13. Nadia A. Streletskaya & Samuel D. Bell & Maik Kecinski & Tongzhe Li & Simanti Banerjee & Leah H. Palm‐Forster & David Pannell, 2020. "Agricultural Adoption and Behavioral Economics: Bridging the Gap," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 54-66, March.
    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. Adewale Henry Adenuga & Claire Jack & Ronan McCarry, 2023. "Investigating the Factors Influencing the Intention to Adopt Long-Term Land Leasing in Northern Ireland," Land, MDPI, vol. 12(3), pages 1-18, March.
    2. Marilena Gemtou & Konstantina Kakkavou & Evangelos Anastasiou & Spyros Fountas & Soren Marcus Pedersen & Gohar Isakhanyan & Kassa Tarekegn Erekalo & Serafin Pazos-Vidal, 2024. "Farmers’ Transition to Climate-Smart Agriculture: A Systematic Review of the Decision-Making Factors Affecting Adoption," Sustainability, MDPI, vol. 16(7), pages 1-34, March.
    3. Ke Liu & Zhenhong Qi & Li Tan & Canwei Hu, 2023. "How Neighbors Influence Rice–Crayfish Integrated System Adoption: Evidence from 980 Farmers in the Lower and Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 20(5), pages 1-13, March.

    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. Manda, Julius & Feleke, Shiferaw & Mutungi, Christopher & Tufa, Adane H. & Mateete, Bekunda & Abdoulaye, Tahirou & Alene, Arega D., 2024. "Assessing the speed of improved postharvest technology adoption in Tanzania: The role of social learning and agricultural extension services," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    2. Yanbing Wang & Niklas Möhring & Robert Finger, 2023. "When my neighbors matter: Spillover effects in the adoption of large‐scale pesticide‐free wheat production," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 256-273, March.
    3. Masoud Yazdanpanah & Kurt Klein & Tahereh Zobeidi & Stefan Sieber & Katharina Löhr, 2022. "Why Have Economic Incentives Failed to Convince Farmers to Adopt Drip Irrigation in Southwestern Iran?," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    4. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    5. Finger, Robert & Möhring, Niklas, 2022. "The adoption of pesticide-free wheat production and farmers' perceptions of its environmental and health effects," Ecological Economics, Elsevier, vol. 198(C).
    6. Gao, Yang & Liu, Bei & Yu, Lili & Yang, Haoran & Yin, Shijiu, 2019. "Social capital, land tenure and the adoption of green control techniques by family farms: Evidence from Shandong and Henan Provinces of China," Land Use Policy, Elsevier, vol. 89(C).
    7. Kuhfuss, Laure & Préget, Raphaële & Thoyer, Sophie & de Vries, Frans P. & Hanley, Nick, 2022. "Enhancing spatial coordination in payment for ecosystem services schemes with non-pecuniary preferences," Ecological Economics, Elsevier, vol. 192(C).
    8. Wanglin Ma & Hongyun Zheng & Amaka Nnaji, 2023. "Cooperative membership and adoption of green pest control practices: Insights from rice farmers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(3), pages 459-479, July.
    9. Han, Guang & Arbuckle, J. Gordon & Grudens-Schuck, Nancy, 2021. "Motivations, goals, and benefits associated with organic grain farming by producers in Iowa, U.S," Agricultural Systems, Elsevier, vol. 191(C).
    10. Yihan Chen & Wen Xiang & Minjuan Zhao, 2024. "Impacts of Capital Endowment on Farmers’ Choices in Fertilizer-Reduction and Efficiency-Increasing Technologies (Preferences, Influences, and Mechanisms): A Case Study of Apple Farmers in the Province," Agriculture, MDPI, vol. 14(1), pages 1-25, January.
    11. Mack, G. & Finger, R. & Ammann, J. & El Benni, N., 2023. "Modelling policies towards pesticide-free agricultural production systems," Agricultural Systems, Elsevier, vol. 207(C).
    12. Rodríguez-Barillas, María & Klerkx, Laurens & Poortvliet, P. Marijn, 2024. "What determines the acceptance of Climate Smart Technologies? The influence of farmers' behavioral drivers in connection with the policy environment," Agricultural Systems, Elsevier, vol. 213(C).
    13. Gbêtondji Melaine Armel Nonvide, 2021. "Adoption of agricultural technologies among rice farmers in Benin," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2372-2390, November.
    14. Weituschat, Chiara Sophia & Pascucci, Stefano & Materia, Valentina Cristiana & Caracciolo, Francesco, 2023. "Can contract farming support sustainable intensification in agri-food value chains?," Ecological Economics, Elsevier, vol. 211(C).
    15. Yaqin Ren & Hui Feng & Tianzhi Gao, 2023. "Risk Cognition, Social Learning, and Farmers’ Adoption of Conservation Agriculture Technology," Agriculture, MDPI, vol. 13(8), pages 1-15, August.
    16. Samuel Jeff Otieno & Cecilia Nyawira Ritho & Jonathan Makau Nzuma & Beatrice Wambui Muriithi, 2023. "Determinants of Adoption and Dis-Adoption of Integrated Pest Management Practices in the Suppression of Mango Fruit Fly Infestation: Evidence from Embu County, Kenya," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    17. Massfeller, Anna & Storm, Hugo, 2022. "Socio-spatial information sources influencing farmers’ decision to use mechanical weeding in sugar beets," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321154, Agricultural Economics Society - AES.
    18. Hunecke, Claudia & Engler, Alejandra & Jara-Rojas, Roberto & Poortvliet, P. Marijn, 2017. "Understanding the role of social capital in adoption decisions: An application to irrigation technology," Agricultural Systems, Elsevier, vol. 153(C), pages 221-231.
    19. Michels, Marius & Bonke, Vanessa & Mußhoff, Oliver, 2022. "Factors Influencing the Adoption of Herbicide Resistance Tests in German Agriculture," 62nd Annual Conference, Stuttgart, Germany, September 7-9, 2022 329587, German Association of Agricultural Economists (GEWISOLA).
    20. Madhu Khanna & Ruiqing Miao, 2022. "Inducing the adoption of emerging technologies for sustainable intensification of food and renewable energy production: insights from applied economics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 1-23, January.

    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:eee:tefoso:v:182:y:2022:i:c:s0040162522003493. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.