IDEAS home Printed from https://ideas.repec.org/p/ags/ifma03/24319.html
   My bibliography  Save this paper

Theory of Reasoned Action and Its Integration with Economic Modelling in Linking Farmers' Attitudes and Adoption Behavior - An Illustration from the Analysis of the Uptake of Livestock Technologies in the South West of England

Author

Listed:
  • Rehman, Tahir
  • McKemey, K.
  • Garforth, Chris
  • Huggins, R.
  • Yates, C.M.
  • Cook, R.J.
  • Tranter, Richard B.
  • Park, Julian R.
  • Dorward, Peter T.

Abstract

The behavioural intentions of a sample of livestock farmers in the south-west of England towards new technologies were analysed within a Theory of Reasoned Action (TORA) framework, in order to explore reasons for the apparently low rate at which research-based knowledge is being transferred to the livestock industry. Correlations between components of attitudes (outcome beliefs and evaluations), subjective norms (normative beliefs and motivation to comply) and behavioural intentions were integrated with Positivistic Mathematical Programming (PosMP) to create a set of farm type models, which can predict the potential rate and equilibrium level of uptake of different kinds of technologies. Data relating to techniques for oestrus detection in dairy cows are used to illustrate the analysis and to show how this approach can help improve the targeting of knowledge and technology transfer strategies. Linking the Theory of Reasoned Action findings with the Positivistic Mathematical Programming approach identified where there is a realistic prospect for increasing or accelerating the uptake of a technology, thus helping an agency charged with knowledge and technology transfer to decide where investment in communication is likely to pay off. In the case of MDC observation times, even a 20% change in attitude score among hill and upland dairy farmers would have minimal impact on the numbers adopting; while a similar change among mixed farms would lead to a greater increase. Targeting mixed farms with this particular technology would make more sense than promoting it among upland farmers. The overall findings reinforce the importance of understanding and addressing the prevailing beliefs and values within the objective population.

Suggested Citation

  • Rehman, Tahir & McKemey, K. & Garforth, Chris & Huggins, R. & Yates, C.M. & Cook, R.J. & Tranter, Richard B. & Park, Julian R. & Dorward, Peter T., 2003. "Theory of Reasoned Action and Its Integration with Economic Modelling in Linking Farmers' Attitudes and Adoption Behavior - An Illustration from the Analysis of the Uptake of Livestock Technologies in," 14th Congress, Perth, Western Australia, August 10-15, 2003 24319, International Farm Management Association.
    • Handle: RePEc:ags:ifma03:24319
    DOI: 10.22004/ag.econ.24319
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/24319/files/cp03re01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.24319?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. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    2. Joyce Willock & Ian J. Deary & Gareth Edwards‐Jones & Gavin J. Gibson & Murray J. McGregor & Alistair Sutherland & J. Barry Dent & Oliver Morgan & Robert Grieve, 1999. "The Role of Attitudes and Objectives in Farmer Decision Making: Business and Environmentally‐Oriented Behaviour in Scotland," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(2), pages 286-303, May.
    3. Gary D. Lynne & J. S. Shonkwiler & Leandro R. Rola, 1988. "Attitudes and Farmer Conservation Behavior," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 12-19.
    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. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    2. Bayard, Budry & Jolly, Curtis, 2007. "Environmental behavior structure and socio-economic conditions of hillside farmers: A multiple-group structural equation modeling approach," Ecological Economics, Elsevier, vol. 62(3-4), pages 433-440, May.
    3. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    4. Britz, Wolfgang & Linda, Arata, "undated". "How Important Are Crop Shares In Managing Risk For Specialized Arable Farms? A Panel Estimation Of A Programming Model For Three European Regions," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244801, German Association of Agricultural Economists (GEWISOLA).
    5. Kooten, G. Cornelis van, 2013. "Modeling Forest Trade in Logs and Lumber: Qualitative and Quantitative Analysis," Working Papers 149182, University of Victoria, Resource Economics and Policy.
    6. Kaplan, Jonathan D. & Johansson, Robert C., 2003. "When The !%$? Hits The Land: Implications For Us Agriculture And Environment When Land Application Of Manure Is Constrained," 2003 Annual meeting, July 27-30, Montreal, Canada 22002, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Nadella, Karthik & Deaton, Brady & Lawley, Chad & Weersink, Alfons, 2014. "Do farmers treat rented land differently than the land they own? A fixed effects model of farmer’s decision to adopt conservation practices on owned and rented land," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170633, Agricultural and Applied Economics Association.
    8. Henning Best, 2008. "Organic agriculture and the conventionalization hypothesis: A case study from West Germany," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 25(1), pages 95-106, January.
    9. Franz Sinabell & Martin Schönhart & Erwin Schmid, 2015. "Austrian Agriculture 2010-2050. Quantitative Effects of Climate Change Mitigation Measures – An Analysis of the Scenarios WEM, WAM and a Sensitivity Analysis of the Scenario WEM," WIFO Studies, WIFO, number 58400.
    10. Scheierling, Susanne M. & Treguer, David O. & Booker, James F. & Decker, Elisabeth, 2014. "How to assess agricultural water productivity ? looking for water in the agricultural productivity and efficiency literature," Policy Research Working Paper Series 6982, The World Bank.
    11. Britz, Wolfgang & Kuhn, Arnim, 2011. "Can Hydro-economic River Basis Models Simulate Water Shadow Prices Under Asymmetric Access?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114272, European Association of Agricultural Economists.
    12. Francisco J. André & Laura Riesgo, 2006. "A Duality Procedure to Elicit Nonlinear Multiattribute Utility Functions," Working Papers 06.02, Universidad Pablo de Olavide, Department of Economics.
    13. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    14. Lynne, Gary D. & Franklin Casey, C. & Hodges, Alan & Rahmani, Mohammed, 1995. "Conservation technology adoption decisions and the theory of planned behavior," Journal of Economic Psychology, Elsevier, vol. 16(4), pages 581-598, December.
    15. Masahiko Gemma & Yacov Tsur, 2007. "The Stabilization Value of Groundwater and Conjunctive Water Management under Uncertainty ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 540-548.
    16. Schuck, Eric C. & Green, Gareth P., 2002. "Supply-based water pricing in a conjunctive use system: implications for resource and energy use," Resource and Energy Economics, Elsevier, vol. 24(3), pages 175-192, June.
    17. Key, Nigel D. & Kaplan, Jonathan D., 2007. "Multiple Environmental Externalities and Manure Management Policy," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(1), pages 1-20, April.
    18. Peter Howley & Emma Dillon & Thia Hennessy, 2014. "It’s not all about the money: understanding farmers’ labor allocation choices," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(2), pages 261-271, June.
    19. Kamel Louhichi & Aymeric Ricome & Sergio Gomez y Paloma, 2022. "Impacts of agricultural taxation in Sub‐Saharan Africa: Insights from agricultural produce cess in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 671-686, September.
    20. Carpentier, Alain & Letort, Elodie, 2009. "Modeling acreage decisions within the multinomial Logit framework," Working Papers 211011, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).

    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:ifma03:24319. 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/ifmaaea.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.