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Yield to Change: Modelling the Land-use Response to Climate-Driven Changes in Pasture Production

Author

Listed:
  • Levente Timar

    (Motu Economic and Public Policy Research)

Abstract

In contrast to most economic drivers of land-use change, climate-related drivers display substantial geographic variation. Accounting for this spatial heterogeneity is important in simulations of the land-use response to climate change. I use a discrete choice model to estimate the relationship between pasture yields and rural land use. Land-use predictions from the model respond to climate change through its effects on pasture yields. This econometric model provides the foundation for the development of a new module of the Land Use in Rural New Zealand (LURNZ) model, the Yield Change Module. In addition to enabling simulations of overall land-use change under different climate scenarios, the module also draws on the estimation results to allocate land-use change spatially. I employ the Yield Change Module to perform illustrative mid-century and end-of-century simulations of land use in a climate scenario characterised by a high level of greenhouse gas emissions (RCP 8.5). Yield changes in this scenario lead to an expansion (by nearly 600,000 hectares) of dairy area and a fall (by over 800,000 hectares) of sheep-beef area by the end of the century. The implied rate of land-use change is modest relative to that observed in New Zealand's recent past

Suggested Citation

  • Levente Timar, 2016. "Yield to Change: Modelling the Land-use Response to Climate-Driven Changes in Pasture Production," Motu Working Papers 16_15, Motu Economic and Public Policy Research.
  • Handle: RePEc:mtu:wpaper:16_15
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    References listed on IDEAS

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    1. Tímár, Levente, 2011. "Rural Land Use and Land Tenure in New Zealand," Motu Working Papers 11_13, Motu Economic and Public Policy Research.
    2. Anastasiadis, Simon & Kerr, Suzi & Zhang, Wei & Allan, Corey & Power, WIlliam, 2014. "Land Use in Rural New Zealand: Spatial Land Use, Land-use Change, and Model Validation," Motu Working Papers 290607, Motu Economic and Public Policy Research.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, Enero-Abr.
    4. Kerr, Suzi & Anastasiadis, Simon & Olssen, Alex & Power, William & Timar, Levente & Zhang, Wei, 2012. "Spatial and Temporal Responses to an Emissions Trading System Covering Agriculture and Forestry: Simulation Results from New Zealand," Motu Working Papers 189545, Motu Economic and Public Policy Research.
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    Cited by:

    1. Indrakumar Vetharaniam & Levente Timar & C. Jill Stanley & Karin Müller & Carlo van den Dijssel & Brent Clothier, 2022. "Modelling Climate Change Impacts on Location Suitability and Spatial Footprint of Apple and Kiwifruit," Land, MDPI, vol. 11(10), pages 1-27, September.

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    Keywords

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    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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