IDEAS home Printed from https://ideas.repec.org/p/ags/aes026/397891.html

Farmers’ Preferences for fossil-free mineral nitrogen fertilisers: prices, production origin, climate and identity

Author

Listed:
  • Adam, Nasir

Abstract

This study examines farmers’ preferences for fossil-based and fossil-free mineral nitrogen fertilisers as part of efforts to decarbonisation agricultural inputs, using a labelled discrete choice experiment among 211 Swedish crop, dairy and mixed farmers. Fertiliser alternatives are characterised by three attributes: price, climate impact, and production origin. Preferences are analysed using a mixed logit model to capture continuous heterogeneity and a latent class choice model to identify discrete farmer segments. Results show that higher fertiliser prices reduce choice probabilities, while farmers exhibit substantial willingness to pay for fertilisers produced in European Union, United Kingdom and Norway and, in particular, in Sweden (their domestic market). Farmers continue to choose conventional mineral fertiliser over the opt-out alternative even when its climate impact increases. This indicates the central role of mineral nitrogen fertiliser in crop production rather than a preference for higher emissions. Two distinct farmer segments emerge: a larger group that trades off price with production origin and climate attributes, and a smaller group that is primarily price sensitive. In addition, social and economic identities significantly explain membership in the dominant segment, whereas environmental identity plays a more limited role. The findings reveal that farmers trade off price against production origin rather than climate impact: they are willing to pay substantial premiums for supply-security consideration (Swedish fertilisers), but not for reduced climate impact alone. The results suggest that decarbonisation policies in fertiliser markets may be more politically and economically viable when embedded within broader supply-security and preparedness frameworks rather than framed solely as climate premiums.

Suggested Citation

  • Adam, Nasir, 2026. "Farmers’ Preferences for fossil-free mineral nitrogen fertilisers: prices, production origin, climate and identity," 100th Annual Conference, March 23-25, 2026, Wadham College, University of Oxford, Oxford, UK 397891, Agricultural Economics Society (AES).
  • Handle: RePEc:ags:aes026:397891
    DOI: 10.22004/ag.econ.397891
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/397891/files/Nasir_Adam_AES%20manuscript_Nasir%20Adam.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.397891?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. Lorena Torres Lahoz & Francisco Camara Pereira & Georges Sfeir & Ioanna Arkoudi & Mayara Moraes Monteiro & Carlos Lima Azevedo, 2023. "Attitudes and Latent Class Choice Models using Machine learning," Papers 2302.09871, arXiv.org.
    2. Hunt Allcott & Judd B. Kessler, 2019. "The Welfare Effects of Nudges: A Case Study of Energy Use Social Comparisons," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 236-276, January.
    3. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
    4. George A. Akerlof & Rachel E. Kranton, 2000. "Economics and Identity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 715-753.
    5. George A. Akerlof & Rachel E. Kranton, 2005. "Identity and the Economics of Organizations," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 9-32, Winter.
    6. Vos, Rob & Glauber, Joseph & Hebebrand, Charlotte & Rice, Brendan, 2025. "Global shocks to fertilizer markets: Impacts on prices, demand and farm profitability," Food Policy, Elsevier, vol. 133(C).
    7. Wong, Melvin & Farooq, Bilal & Bilodeau, Guillaume-Alexandre, 2018. "Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling," Journal of choice modelling, Elsevier, vol. 29(C), pages 152-168.
    8. Sergei Schaub & Jaboury Ghazoul & Robert Huber & Wei Zhang & Adelaide Sander & Charles Rees & Simanti Banerjee & Robert Finger, 2023. "The role of behavioural factors and opportunity costs in farmers' participation in voluntary agri‐environmental schemes: A systematic review," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 617-660, September.
    9. Zemo, Kahsay Haile & Termansen, Mette, 2018. "Farmers’ willingness to participate in collective biogas investment: A discrete choice experiment study," Resource and Energy Economics, Elsevier, vol. 52(C), pages 87-101.
    10. Jill E. Hobbs, 2021. "Food supply chain resilience and the COVID‐19 pandemic: What have we learned?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(2), pages 189-196, June.
    11. Kym Anderson & Gordon Rausser & Johan Swinnen, 2013. "Political Economy of Public Policies: Insights from Distortions to Agricultural and Food Markets," Journal of Economic Literature, American Economic Association, vol. 51(2), pages 423-477, June.
    12. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    13. Bovenberg, A. Lans & Goulder, Lawrence H., 2002. "Environmental taxation and regulation," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 3, chapter 23, pages 1471-1545, Elsevier.
    14. Lahoz, Lorena Torres & Pereira, Francisco Camara & Sfeir, Georges & Arkoudi, Ioanna & Monteiro, Mayara Moraes & Azevedo, Carlos Lima, 2023. "Attitudes and Latent Class Choice Models using Machine Learning," Journal of choice modelling, Elsevier, vol. 49(C).
    15. Felix Chan & László Mátyás, 2022. "Linear Econometric Models with Machine Learning," Advanced Studies in Theoretical and Applied Econometrics, in: Felix Chan & László Mátyás (ed.), Econometrics with Machine Learning, chapter 0, pages 1-39, Springer.
    16. Kahsay Haile Zemo & Mette Termansen, 2022. "Environmental identity economics: an application to farmers’ pro-environmental investment behaviour," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(2), pages 331-358.
    17. Martin Binder & Ann‐Kathrin Blankenberg, 2022. "Identity and well‐being in the skilled crafts and trades," Kyklos, Wiley Blackwell, vol. 75(2), pages 184-235, May.
    18. Felix Chan & Mark N. Harris & Ranjodh B. Singh & Wei (Ben) Ern Yeo, 2022. "Nonlinear Econometric Models with Machine Learning," Advanced Studies in Theoretical and Applied Econometrics, in: Felix Chan & László Mátyás (ed.), Econometrics with Machine Learning, chapter 0, pages 41-78, Springer.
    19. Felix Chan & László Mátyás (ed.), 2022. "Econometrics with Machine Learning," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-031-15149-1, July-Dece.
    20. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    21. Mariel, Petr & Meyerhoff, Jürgen & Hess, Stephane, 2015. "Heterogeneous preferences toward landscape externalities of wind turbines – combining choices and attitudes in a hybrid model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 647-657.
    22. Hruschka, Harald & Fettes, Werner & Probst, Markus, 2004. "An empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications," European Journal of Operational Research, Elsevier, vol. 159(1), pages 166-180, November.
    23. Yves Bentz & Dwight Merunka, 2000. "Neural networks and the multinomial logit for brand choice modelling: a hybrid approach," Post-Print hal-01822273, HAL.
    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. Oyakhilomen Oyinbo & Helena Hansson, 2024. "Understanding dairy farmers' trade‐offs between environmental, social and economic sustainability attributes in feeding systems: The role of farmers' identities," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(3), pages 869-888, September.
    2. Ölkers, Tim & Liu, Shuang & Mußhoff, Oliver, 2023. "A typology of Malian farmers and their credit repayment performance - An unsupervised machine learning approach," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334547, Agricultural Economics Society - AES.
    3. Panos, Georgios & Theodossiou, Ioannis, 2009. "Union Mediation and Adaptation to Reciprocal Loyalty Arrangements," MPRA Paper 15471, University Library of Munich, Germany.
    4. Anna Bartczak & Wiktor Budziński & Bernadeta Gołębiowska, 2018. "Impact of beliefs about negative effects of wind turbines on preference heterogeneity regarding renewable energy development in Poland," Working Papers 2018-19, Faculty of Economic Sciences, University of Warsaw.
    5. Alina Landowska & Robert A. K{l}opotek & Dariusz Filip & Konrad Raczkowski, 2025. "GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest," Papers 2504.20993, arXiv.org.
    6. Sifringer, Brian & Lurkin, Virginie & Alahi, Alexandre, 2020. "Enhancing discrete choice models with representation learning," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 236-261.
    7. Han, Yafei & Pereira, Francisco Camara & Ben-Akiva, Moshe & Zegras, Christopher, 2022. "A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 166-186.
    8. Tim Ölkers & Shuang Liu & Oliver Mußhoff & Xiaohua Yu, 2025. "Patterns and heterogeneity in credit repayment performance: Evidence from Malian farmers," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 47(2), pages 694-722, May.
    9. Lahoz, Lorena Torres & Pereira, Francisco Camara & Sfeir, Georges & Arkoudi, Ioanna & Monteiro, Mayara Moraes & Azevedo, Carlos Lima, 2023. "Attitudes and Latent Class Choice Models using Machine Learning," Journal of choice modelling, Elsevier, vol. 49(C).
    10. Georgios A. Panos & Ioannis Theodossiou, 2013. "Reciprocal Loyalty and Union Mediation," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 52(3), pages 645-676, July.
    11. Felix Chan & Les Oxley, 2023. "A pulse check on recent developments in time series econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 3-6, February.
    12. Faccioli, Michela & Czajkowski, Mikołaj & Glenk, Klaus & Martin-Ortega, Julia, 2020. "Environmental attitudes and place identity as determinants of preferences for ecosystem services," Ecological Economics, Elsevier, vol. 174(C).
    13. Anna Rita Dipierro & Fernando Jimenéz Barrionuevo & Pierluigi Toma, 2025. "Predicting ESG Controversies in Banks Using Machine Learning Techniques," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 32(3), pages 3525-3544, May.
    14. Lorena Torres Lahoz & Francisco Camara Pereira & Georges Sfeir & Ioanna Arkoudi & Mayara Moraes Monteiro & Carlos Lima Azevedo, 2023. "Attitudes and Latent Class Choice Models using Machine learning," Papers 2302.09871, arXiv.org.
    15. Mariel, Petr & Artabe, Alaitz & Liebe, Ulf & Meyerhoff, Jürgen, 2024. "An assessment of the current use of hybrid choice models in environmental economics, and considerations for future applications," Journal of choice modelling, Elsevier, vol. 53(C).
    16. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2022. "Willingness to pay for regional electricity generation – A question of green values and regional product beliefs?," Energy Economics, Elsevier, vol. 110(C).
    17. Canessa, Carolin & Venus, Terese E. & Wiesmeier, Miriam & Mennig, Philipp & Sauer, Johannes, 2023. "Incentives, Rewards or Both in Payments for Ecosystem Services: Drawing a Link Between Farmers' Preferences and Biodiversity Levels," Ecological Economics, Elsevier, vol. 213(C).
    18. Bronchal, Adrià, 2023. "Better the devil you know: The effects of group identity uncertainty on coordination efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 634-656.
    19. Ana Balsa & N stor Gandelman & Flavia Rold n, 2017. "Peer and parental influence in the development of cognitive skills and predispostion to risky behaviour," Documentos de Trabajo/Working Papers 1701, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    20. Michael Kurschilgen, 2023. "Moral awareness polarizes people’s fairness judgments," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 61(2), pages 339-364, August.

    More about this item

    Keywords

    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ags:aes026:397891. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aesukea.html .

    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.