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Estimating the local effect of weather on field crop production with unobserved producer behavior: a bioeconomic modeling framework

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  • Yong Jiang
  • Won Koo

Abstract

The role of weather in crop production at field is central to understanding the impact of climate change on agriculture and its implications for food security. In this study, we developed a bioeconomic modeling framework for estimating the field effect of weather on crop production at the regional scale with unobserved producer behavior. We took a systematic perspective for model development, explicitly considering crop production as a coupled human–nature system dominated by management adapted to local environmental and economic conditions. We drew on economics to characterize producer management behavior and crop yield consistent with the process of field production. We integrated scientific findings on plant growth and production economics to parameterize the yield function of crop that can be statistically estimated with observed data. An empirical application of our approach to spring wheat production found spatially heterogeneous effect of weather and climate change impact. Our modeling approach can be applied to different crops or regions to develop locally specific understandings of the management adjusted, production effect of weather and climate change impact, with implications on cropping system resilience and for adaptation. Copyright Springer Japan 2014

Suggested Citation

  • Yong Jiang & Won Koo, 2014. "Estimating the local effect of weather on field crop production with unobserved producer behavior: a bioeconomic modeling framework," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(3), pages 279-302, July.
    • Handle: RePEc:spr:envpol:v:16:y:2014:i:3:p:279-302
    DOI: 10.1007/s10018-014-0079-9
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    References listed on IDEAS

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    6. Ding, Ya & Schoengold, Karina & Tadesse, Tsegaye, 2009. "The Impact of Weather Extremes on Agricultural Production Methods: Does Drought Increase Adoption of Conservation Tillage Practices?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(3), pages 1-17, December.
    7. Reidsma, Pytrik & Ewert, Frank & Boogaard, Hendrik & Diepen, Kees van, 2009. "Regional crop modelling in Europe: The impact of climatic conditions and farm characteristics on maize yields," Agricultural Systems, Elsevier, vol. 100(1-3), pages 51-60, April.
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    Cited by:

    1. Chandra Bahinipati & Unmesh Patnaik, 2015. "The damages from climatic extremes in India: do disaster-specific and generic adaptation measures matter?," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(1), pages 157-177, January.
    2. Floress, Kristin & Reimer, Adam & Thompson, Aaron & Burbach, Mark & Knutson, Cody & Prokopy, Linda & Ribaudo, Marc & Ulrich-Schad, Jessica, 2018. "Measuring farmer conservation behaviors: Challenges and best practices," Land Use Policy, Elsevier, vol. 70(C), pages 414-418.
    3. Annelie Holzkämper, 2017. "Adapting Agricultural Production Systems to Climate Change—What’s the Use of Models?," Agriculture, MDPI, vol. 7(10), pages 1-15, October.

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    More about this item

    Keywords

    Weather; Climate change; Crop production; Yield; Agriculture; Management; Q18; Q54; Q57;
    All these keywords.

    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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