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Methodology

In: West African agriculture and climate change: A comprehensive analysis

Author

Listed:
  • Nelson, Gerald C.
  • Palazzo, Amanda
  • Mason-DCroz, Daniel
  • Robertson, Richard D.
  • Thomas, Timothy S.
Abstract
Modeling the impacts of climate change on agriculture presents a complex challenge arising from the wide-ranging processes underlying the working of markets, ecosystems, and human behavior. The analytical framework used in this monograph integrates modeling components that range from the macro to the micro to model a range of processes, from those driven by economics to those that are essentially biological in nature. This chapter brings together in one place the technical details associated with models used in this monograph along with other technical information that is common to most or all of the chapters. Figure 2.1 provides a diagram of the links among the three models used: the International Food Policy Research Institute’s (IFPRI’s) International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) (Rosegrant et al. 2008), a partial equilibrium agriculture model that emphasizes policy simulations; a hydrology model incorporated into IMPACT; and the Decision Support Software for Agrotechnology Transfer (DSSAT) crop model suite (Jones et al. 2003), which is used to estimate yields of crops under varying management systems and climate change scenarios.

Suggested Citation

  • Nelson, Gerald C. & Palazzo, Amanda & Mason-DCroz, Daniel & Robertson, Richard D. & Thomas, Timothy S., 2013. "Methodology," IFPRI book chapters, in: Jalloh, Abdulai & Nelson, Gerald C. & Thomas, Timothy S. & Zougmore, Robert & Roy-Macauley, Harold (ed.), West African agriculture and climate change: A comprehensive analysis, chapter 2, pages 37-52, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:ifpric:9780896292048-02
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    References listed on IDEAS

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    1. Neumann, Kathleen & Verburg, Peter H. & Stehfest, Elke & Müller, Christoph, 2010. "The yield gap of global grain production: A spatial analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 316-326, June.
    2. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike & Wu, Wenbin, 2014. "Generating global crop distribution maps: From census to grid," Agricultural Systems, Elsevier, vol. 127(C), pages 53-60.
    3. Nin-Pratt, Alejandro & Johnson, Michael & Magalhaes, Eduardo & You, Liangzhi & Diao, Xinshen & Chamberlin, Jordan, 2011. "Yield gaps and potential agricultural growth in West and Central Africa," Research reports alejandronin-pratt, International Food Policy Research Institute (IFPRI).
    4. You, Liangzhi & Wood, Stanley, 2006. "An entropy approach to spatial disaggregation of agricultural production," Agricultural Systems, Elsevier, vol. 90(1-3), pages 329-347, October.
    5. World Bank, 2011. "World Development Indicators 2011," World Bank Publications - Books, The World Bank Group, number 2315.
    6. World Bank, 2010. "Economics of Adaptation to Climate Change : Synthesis Report," World Bank Publications - Reports 12750, The World Bank Group.
    7. Smith, Lisa C. & Haddad, Lawrence James, 2000. "Explaining child malnutrition in developing countries: a cross-country analysis," Research reports 111, International Food Policy Research Institute (IFPRI).
    8. Nelson, Gerald C. & Rosegrant, Mark W. & Palazzo, Amanda & Gray, Ian & Ingersoll, Christina & Robertson, Richard & Tokgoz, Simla & Zhu, Tingju & Sulser, Timothy B. & Ringler, Claudia & Msangi, Siwa & , 2010. "Food security, farming, and climate change to 2050: Scenarios, results, policy options," Research reports Gerald C. Nelson, et al., International Food Policy Research Institute (IFPRI).
    9. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    10. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    11. World Bank, 2009. "World Development Indicators 2009," World Bank Publications - Books, The World Bank Group, number 4367.
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    Cited by:

    1. Boarnet, Marlon G. & Edwards, Rufus & Princevac, Marko & Wu, Jun & Pan, Hansheng & Bartolome, Christian & Ferguson, Gavin & Fazl, Anahita & Lejano, Raul, 2009. "Near-Source Modeling of Transportation Emissions in Built Environments Surrounding Major Arterials," University of California Transportation Center, Working Papers qt5w357946, University of California Transportation Center.
    2. Pierluigi Montalbano & Alessandro Federici & Umberto Triulzi & Carlo Pietrobelli, 2005. "Trade Openness and Vulnerability in Central and Eastern Europe," WIDER Working Paper Series RP2005-43, World Institute for Development Economic Research (UNU-WIDER).
    3. Bronfman, Javier, 2014. "Measuring Vulnerability to Poverty in Chile Using the National Socio Economic Characterization Panel Survey for 1996, 2001, 2006," MPRA Paper 62689, University Library of Munich, Germany.
    4. Ripplinger, David G. & Hayes, Dermot J. & Lamkey, Kendall R., 2004. "Insuring Against Losses From Transgenic Contamination," 2004 Annual meeting, August 1-4, Denver, CO 20350, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Philippe Bocquier, 2004. "World Urbanization Prospects : an alternative to the UN model of projection compatible with urban transition theory," Working Papers DT/2004/08, DIAL (Développement, Institutions et Mondialisation).

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