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The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage

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  • Balcombe, Kelvin
  • Tiffin, R

Abstract

We introduce and implement a reversible jump approach to Bayesian Model Averaging for the Probit model with uncertain regressors. This approach provides a direct estimate of the probability that a variable should be included in the model. Two applications are investigated. The �rst is the adoption of organic systems in UK farming, and the second is the in�uence of farm and farmer characteristics on the use of a computer on the farm. While there is a correspondence between the conclusions we would obtain with and without model averaging results, we �find important di¤erences, particularly in smaller samples.

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  • Balcombe, Kelvin & Tiffin, R, 2010. "The Determinants of Technology Adoption by UK Farmers using Bayesian Model Averaging. The Cases of Organic Production and Computer Usage," MPRA Paper 25193, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:25193
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    3. Emileva, Begaiym & Kuhn, Lena & Bobojonov, Ihtiyor & Glauben, Thomas, 2023. "The role of smartphone-based weather information acquisition on climate change perception accuracy: Cross-country evidence from Kyrgyzstan, Mongolia and Uzbekistan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 41, pages 1-1.
    4. Daniele Mozzato & Paola Gatto & Edi Defrancesco & Lucia Bortolini & Francesco Pirotti & Elena Pisani & Luigi Sartori, 2018. "The Role of Factors Affecting the Adoption of Environmentally Friendly Farming Practices: Can Geographical Context and Time Explain the Differences Emerging from Literature?," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
    5. SOTO Iria & BARNES Andrew & BALAFOUTIS Athanasios & BECK Bert & SANCHEZ FERNANDEZ Berta & VANGEYTE Jurgen & FOUNTAS Spyros & VAN DER WAL Tamme & EORY Vera & GOMEZ BARBERO Manuel, 2019. "The contribution of precision agriculture technologies to farm productivity and the mitigation of greenhouse gas emissions in the EU," JRC Research Reports JRC112505, Joint Research Centre.
    6. Bartosz Bartkowski & Stephan Bartke, 2018. "Leverage Points for Governing Agricultural Soils: A Review of Empirical Studies of European Farmers’ Decision-Making," Sustainability, MDPI, vol. 10(9), pages 1-27, September.
    7. Sirkka Schukat & Heinke Heise, 2021. "Towards an Understanding of the Behavioral Intentions and Actual Use of Smart Products among German Farmers," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    8. Zdenka MALÁ & Michal MALÝ, 2013. "The determinants of adopting organic farming practices: a case study in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(1), pages 19-28.
    9. 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.
    10. Dmytro Serebrennikov & Fiona Thorne & Zein Kallas & Sinéad N. McCarthy, 2020. "Factors Influencing Adoption of Sustainable Farming Practices in Europe: A Systemic Review of Empirical Literature," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    11. Payne-Gifford, Sophie & Johnson, Kate & Mauchline, Alice & Gadanakis, Yiorgos & Girling, Laura & Mortimer, Simon, 2020. "Exploring attitudes to technology adoption for cross compliance in Greek and Lithuanian farmers," Land, Farm & Agribusiness Management Department 308133, Harper Adams University, Land, Farm & Agribusiness Management Department.
    12. Wun-Ji JIANG & Yir-Hueih LUH, 2018. "Does higher food safety assurance bring higher returns? Evidence from Taiwan," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 477-488.
    13. Payne-Gifford, Sophie & Johnson, Kate & Mauchline, Alice & Gadanakis, Yiorgos & Girling, Laura & Mortimer, Simon, 2020. "Exploring attitudes to technology adoption for cross compliance in Greek and Lithuanian farmers," Agri-Tech Economics Papers 308133, Harper Adams University, Land, Farm & Agribusiness Management Department.
    14. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
    15. Bethan Thompson & Gaëlle Leduc & Gordana Manevska‐Tasevska & Luiza Toma & Helena Hansson, 2024. "Farmers' adoption of ecological practices: A systematic literature map," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 84-107, February.

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    More about this item

    Keywords

    Agriculture; Adoption; Model Averaging; Organic; Computer;
    All these keywords.

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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