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A response to Doole and Marsh (2013) article: methodological limitations in the evaluation of policies to reduce nitrate leaching from New Zealand agriculture

Author

Listed:
  • Daigneault, Adam
  • Greenhalgh, Suzie
  • Samarasinghe, Oshadhi

Abstract

A recent paper by Doole and Marsh (2013), questioned the validity of using the New Zealand Forest and Agriculture Regional Model (NZFARM) for New Zealand agri-environmental policy analysis. We respond to their critique by clearly describing the model structure, explaining the NZFARM parameterisation, calibration, and validation procedure, and presenting estimates from a series of nutrient reduction policy scenarios to highlight the utility of the model. In doing so, we demonstrate that NZFARM generates logical and intuitive results that can be used for robust agri-environmental policy decision-making.

Suggested Citation

  • Daigneault, Adam & Greenhalgh, Suzie & Samarasinghe, Oshadhi, 2014. "A response to Doole and Marsh (2013) article: methodological limitations in the evaluation of policies to reduce nitrate leaching from New Zealand agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(2), April.
    • Handle: RePEc:ags:aareaj:260090
    DOI: 10.22004/ag.econ.260090
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    File URL: https://ageconsearch.umn.edu/record/260090/files/ajar12051.pdf
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    References listed on IDEAS

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    1. Bruno Henry Frahan & Jeroen Buysse & Philippe Polomé & Bruno Fernagut & Olivier Harmignie & Ludwig Lauwers & Guido Huylenbroeck & Jef Meensel, 2007. "Positive Mathematical Programming for Agricultural and Environmental Policy Analysis: Review and Practice," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 129-154, Springer.
    2. Simon Anastasiadis & Suzi Kerr & Marie-Laure Nauleau & Tim Cox & Kit Rutherford, 2014. "Does complex hydrology require complex water quality policy?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(1), pages 130-145, January.
    3. Heckelei, Thomas & Britz, Wolfgang & Zhang, Yinan, 2012. "Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-16, April.
    4. Graeme J. Doole & Dan K. Marsh, 2014. "Methodological limitations in the evaluation of policies to reduce nitrate leaching from New Zealand agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(1), pages 78-89, January.
    5. Suzi Kerr & Alex Olssen, 2012. "Gradual Land-use Change in New Zealand: Results from a Dynamic Econometric Model," Working Papers 12-06, Motu Economic and Public Policy Research.
    6. Graeme J. Doole, 2010. "Evaluating Input Standards for Non‐Point Pollution Control under Firm Heterogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(3), pages 680-696, September.
    7. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    8. Johansson, Robert & Peters, Mark & House, Robert, 2007. "Regional Environment and Agriculture Programming Model," Technical Bulletins 184314, United States Department of Agriculture, Economic Research Service.
    9. Bruce A. McCarl, 1982. "Cropping Activities in Agricultural Sector Models: A Methodological Proposal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(4), pages 768-772.
    10. Kemal Dervis & Sherman Robinson, 1982. "A general equilibrium analysis of the causes of a foreign exchange crisis : The case of Turkey," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 118(2), pages 259-280, June.
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    Cited by:

    1. Gawith, David & Hodge, Ian & Morgan, Fraser & Daigneault, Adam, 2020. "Climate change costs more than we think because people adapt less than we assume," Ecological Economics, Elsevier, vol. 173(C).
    2. Doole, Graeme J. & Marsh, Dan K., 2014. "Use of positive mathematical programming invalidates the application of the NZFARM model: Response to Daigneault et al. (2014)," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(2), April.

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