IDEAS home Printed from https://ideas.repec.org/p/ags/nzar12/136038.html

An Inertia Model for the Adoption of New Farming Practices

Author

Listed:
  • Anastasiadis, Simon

Abstract

Nutrient emissions from agricultural land are now widely recognized as one of the key contributors to poor water quality in local lakes, rivers and streams. Nutrient trading has been suggested as a regulatory tool to improve and protect water quality. However, farmers’ attitudes suggest that they are resistant to making the changes required under such a scheme. This paper develops a model of farmers’ resistance to change and their adoption of new management practices under nutrient trading regulation. We specify resistance as a bound on the adoption of new practices and allow this bound to relax as farmers’ resistance to change weakens. This paper reflects current work in progress as part of the author’s Master’s Thesis. Future work will extend and build upon the material presented here. We request that readers refer to this paper only in the absence of a more recent version. This paper has been prepared for the purposes of the New Zealand Agricultural and Resource Economics Society conference August 2012.

Suggested Citation

  • Anastasiadis, Simon, 2012. "An Inertia Model for the Adoption of New Farming Practices," 2012 Conference, August 31, 2012, Nelson, New Zealand 136038, New Zealand Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:nzar12:136038
    DOI: 10.22004/ag.econ.136038
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/136038/files/Anastasiadis%202012%20complete.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.136038?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. Isabelle Sin, 2012. "The adoption of environmentally friendly technologies in agriculture," Motu Notes Note_12, Motu Economic and Public Policy Research.
    2. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    3. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    4. Jonathan Skinner & Douglas Staiger, 2007. "Technology Adoption from Hybrid Corn to Beta-Blockers," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 545-570, National Bureau of Economic Research, Inc.
    5. Connor, Jeffery D. & Ward, John & Clifton, Craig & Proctor, Wendy & Hatton MacDonald, Darla, 2008. "Designing, testing and implementing a trial dryland salinity credit trade scheme," Ecological Economics, Elsevier, vol. 67(4), pages 574-588, November.
    6. Simon Anastasiadis & Marie-Laure Nauleau & Suzi Kerr & Tim Cox & Kit Rutherford, 2011. "Does Complex Hydrology Require Complex Water Quality Policy? NManager Simulations for Lake Rotorua," Motu Working Papers 11_14, Motu Economic and Public Policy Research.
    7. Suzi Kerr & Hugh McDonald & Kit Rutherford, 2012. "Nutrient Trading in Lake Rotorua: A Policy Prototype," Motu Notes Note_10, Motu Economic and Public Policy Research.
    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. Feng, Yao, 2011. "Local spillovers and learning from neighbors: Evidence from durable adoptions in rural China," MPRA Paper 33924, University Library of Munich, Germany.
    2. Ruiyao Ying & Li Zhou & Wuyang Hu & Dan Pan, 2017. "Agricultural technical education and agrochemical use by rice farmers in China," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 522-536, September.
    3. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    4. Barns, Sandra A. & Young, Justine, 2013. "Cap-and-trade of diffuse emissions of nitrogen in Lake Taupo Catchment: Reviewing the policy decisions and the market," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 187039, New Zealand Agricultural and Resource Economics Society.
    5. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622, Elsevier.
    6. Sacarny, Adam, 2018. "Adoption and learning across hospitals: The case of a revenue-generating practice," Journal of Health Economics, Elsevier, vol. 60(C), pages 142-164.
    7. Tesfamicheal Wossen & Thomas Berger & Salvatore Di Falco, 2015. "Social capital, risk preference and adoption of improved farm land management practices in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 81-97, January.
    8. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    9. François Rebaudo & Olivier Dangles, 2011. "Coupled Information Diffusion–Pest Dynamics Models Predict Delayed Benefits of Farmer Cooperation in Pest Management Programs," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-10, October.
    10. Goswami, Rupak & Basu, Debabrata, 2006. "Does information network affect spread of new crops? A study on the spread of bitter gourd and sunflower cultivation among the farmers of a Sunderbans island in West Bengal, India," MPRA Paper 25934, University Library of Munich, Germany.
    11. S Anukriti & Catalina Herrera‐Almanza & Praveen K. Pathak & Mahesh Karra, 2020. "Curse of the Mummy‐ji: The Influence of Mothers‐in‐Law on Women in India†," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1328-1351, October.
    12. Das Gupta, Monica & Bongaarts, John & Cleland, John, 2011. "Population, poverty, and sustainable development : a review of the evidence," Policy Research Working Paper Series 5719, The World Bank.
    13. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    14. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    15. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2025. "Assessing the Energy-Efficiency Gap," World Scientific Book Chapters, in: Economics of Environment, Climate Change, and Wine Selected Papers of Robert N Stavins Volume 3 (2011–2023), chapter 4, pages 53-118, World Scientific Publishing Co. Pte. Ltd..
    16. Raphaël Soubeyran, 2019. "Technology adoption and pro-social preferences," CEE-M Working Papers halshs-02291905, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    17. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2016. "Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector," American Economic Review, American Economic Association, vol. 106(8), pages 2110-2144, August.
    18. Leavens, Laura & Bauchet, Jonathan & Ricker-Gilbert, Jacob, 2021. "After the project is over: Measuring longer-term impacts of a food safety intervention in Senegal," World Development, Elsevier, vol. 141(C).
    19. Awudu Abdulai, 2023. "Information acquisition and the adoption of improved crop varieties," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1049-1062, August.
    20. Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.

    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:nzar12:136038. 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/nzareea.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.