IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/332784.html
   My bibliography  Save this paper

Volume preserving CES and CET formulations

Author

Listed:
  • van der Mensbrugghe, Dominique
  • Peters, Jeffrey C.

Abstract

Two of the most widely used functional forms in quantitative economic analysis are the constant-elasticity-of-substitution (CES) and constant-elasticity-of-transformation (CET) functions. The CES functional form is oft-used to represent production functions--for example, in macro growth models or in multi-sector CGE models--or preference functions--for example the Armington specification for allocating domestic absorption across domestic and imported goods. In other contexts, the CET functional form is used to allocate production or supply across different markets--for example land-use. As economic models increasingly integrate bio-physical properties, one potential drawback of the CES/CET is that they do not preserve additivity, i.e. the sum of the volume components do not add up to the total volume. The volume discrepancies can potentially be small, though a paper by Fujimori et al 2014 suggest that in the case of long-term land allocation, the discrepancies can be large, particularly at the more (spatially) disaggregated level. Even if the volume discrepancies are small, deviations from strict additivity are often confusing to scientific colleagues from other disciplines. This paper explores the use of a modified CES/CET function that has virtually the same attributes of the standard CES/CET function but preserves additivity. The additive form of the CET has been introduced in labor allocation decisions by Dixon and Rimmer 2003/2006 and land-use allocation by Giesecke et al 2013. This paper provides the analytical formulation of both forms of the CES/CET function. It compares the implementation of the additive CET using a small numerical example to highlight some key potential differences. It then introduces the additive form of the CET function in the land-use specification of the Envisage Model and assesses the impacts of the two formulations on agricultural output, prices and land-use in a long-term global scenario.

Suggested Citation

  • van der Mensbrugghe, Dominique & Peters, Jeffrey C., 2016. "Volume preserving CES and CET formulations," Conference papers 332784, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:332784
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/332784/files/8380.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sherman Robinson & Hans Meijl & Dirk Willenbockel & Hugo Valin & Shinichiro Fujimori & Toshihiko Masui & Ron Sands & Marshall Wise & Katherine Calvin & Petr Havlik & Daniel Mason d'Croz & Andrzej Tabe, 2014. "Comparing supply-side specifications in models of global agriculture and the food system," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 21-35, January.
    2. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    3. Perroni, Carlo & Rutherford, Thomas F, 1998. "A Comparison of the Performance of Flexible Functional Forms for Use in Applied General Equilibrium Modelling," Computational Economics, Springer;Society for Computational Economics, vol. 11(3), pages 245-263, June.
    4. Bowles, Samuel, 1970. "Aggregation of Labor Inputs in the Economics of Growth and Planning: Experiments with a Two-Level CES Function," Journal of Political Economy, University of Chicago Press, vol. 78(1), pages 68-81, Jan.-Feb..
    5. Detlef Vuuren & Elmar Kriegler & Brian O’Neill & Kristie Ebi & Keywan Riahi & Timothy Carter & Jae Edmonds & Stephane Hallegatte & Tom Kram & Ritu Mathur & Harald Winkler, 2014. "A new scenario framework for Climate Change Research: scenario matrix architecture," Climatic Change, Springer, vol. 122(3), pages 373-386, February.
    6. James A. Giesecke & Nhi Hoang Tran & Erwin L. Corong & Steven Jaffee, 2013. "Rice Land Designation Policy in Vietnam and the Implications of Policy Reform for Food Security and Economic Welfare," Journal of Development Studies, Taylor & Francis Journals, vol. 49(9), pages 1202-1218, September.
    7. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    8. Martin Lampe & Dirk Willenbockel & Helal Ahammad & Elodie Blanc & Yongxia Cai & Katherine Calvin & Shinichiro Fujimori & Tomoko Hasegawa & Petr Havlik & Edwina Heyhoe & Page Kyle & Hermann Lotze-Campe, 2014. "Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 3-20, January.
    9. Hugo Valin & Ronald D. Sands & Dominique van der Mensbrugghe & Gerald C. Nelson & Helal Ahammad & Elodie Blanc & Benjamin Bodirsky & Shinichiro Fujimori & Tomoko Hasegawa & Petr Havlik & Edwina Heyhoe, 2014. "The future of food demand: understanding differences in global economic models," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 51-67, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. An, Kangxin & Wang, Can & Cai, Wenjia, 2023. "Low-carbon technology diffusion and economic growth of China: an evolutionary general equilibrium framework," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 253-263.
    2. Britz, Wolfgang & Li, Jingwen & Shang, Linmei, 2021. "Combining large-scale sensitivity analysis in Computable General Equilibrium models with Machine Learning: An Example Application to policy supporting the bio-economy," Conference papers 333285, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

    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. van der Mensbrugghe, Dominique & Jeffrey C. Peters, 2020. "Volume Preserving CES and CET Formulations," GTAP Working Papers 6160, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    2. Thomas W. Hertel & Uris Lantz C. Baldos & Dominique van der Mensbrugghe, 2016. "Predicting Long-Term Food Demand, Cropland Use, and Prices," Annual Review of Resource Economics, Annual Reviews, vol. 8(1), pages 417-441, October.
    3. Jerome Dumortier & Miguel Carriquiry & Amani Elobeid, 2021. "Impact of climate change on global agricultural markets under different shared socioeconomic pathways," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 963-984, November.
    4. Dirk Willenbockel & Claudia Ringler & Nikos Perez & Mark Rosegrant & Tingiu Zhu & Nathanial Matthews, 2016. "Climate Policy and the Energy-Water-Food Nexus: A Model Linkage Approach," EcoMod2016 9746, EcoMod.
    5. Sands, Ronald, 2017. "Scenarios of Global Diets and the Impact on Land Resources," Conference papers 330175, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Benjamin Leon Bodirsky & Susanne Rolinski & Anne Biewald & Isabelle Weindl & Alexander Popp & Hermann Lotze-Campen, 2015. "Global Food Demand Scenarios for the 21st Century," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-27, November.
    7. Christophe Gouel & Houssein Guimbard, 2019. "Nutrition Transition and the Structure of Global Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 383-403.
    8. Calzadilla, Alvaro & Carr, Tony, 2020. "Land degradation and food security: impacts and adaptation options," Conference papers 333148, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Mason-D'Croz, Daniel & Sulser, Timothy B. & Wiebe, Keith & Rosegrant, Mark W. & Lowder, Sarah K. & Nin-Pratt, Alejandro & Willenbockel, Dirk & Robinson, Sherman & Zhu, Tingju & Cenacchi, Nicola & Duns, 2019. "Agricultural investments and hunger in Africa modeling potential contributions to SDG2 – Zero Hunger," World Development, Elsevier, vol. 116(C), pages 38-53.
    10. Palazzo, Amanda & Vervoort, Joost M. & Mason- D'Croz, Daniel & Rutting, Lucas & Havlik, Petr & Islam, Shahnila & Bayala, Jules & Kadi, Hame Kadi & Thornton, Philip & Zougmore, Robert, "undated". "Interpreting the Shared Socio-economic Pathways under Climate Change for the ECOWAS region through a stakeholder and multi-model process," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246970, African Association of Agricultural Economists (AAAE).
    11. Daigneault, Adam & Johnston, Craig & Korosuo, Anu & Baker, Justin S. & Forsell, Nicklas & Prestemon, Jeffrey P. & Abt, Robert C., 2019. "Developing Detailed Shared Socioeconomic Pathway (SSP) Narratives for the Global Forest Sector," Journal of Forest Economics, now publishers, vol. 34(1-2), pages 7-45, August.
    12. Phoebe Koundouri & Georgios I. Papayiannis & Achilleas Vassilopoulos & Athanasios N. Yannacopoulos, 2023. "Probabilistic Scenario-Based Assessment of National Food Security Risks with Application to Egypt and Ethiopia," Papers 2312.04428, arXiv.org, revised Dec 2023.
    13. Wiebe, Keith & Sulser, Timothy B & Dunston, Shahnila & Rosegrant, Mark W. & Fuglie, Keith & Willenbockel, Dirk & Nelson, Gerald C., 2020. "Modeling impacts of faster productivity growth to inform the CGIAR initiative on Crops to End Hunger," SocArXiv h2g6r, Center for Open Science.
    14. Robinson, Sherman & Mason d'Croz, Daniel & Islam, Shahnila & Sulser, Timothy B. & Robertson, Richard D. & Zhu, Tingju & Gueneau, Arthur & Pitois, Gauthier & Rosegrant, Mark W., 2015. "The International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model description for version 3:," IFPRI discussion papers 1483, International Food Policy Research Institute (IFPRI).
    15. Ben Henderson & Stefan Frank & Petr Havlik & Hugo Valin, 2021. "Policy strategies and challenges for climate change mitigation in the Agriculture, Forestry and Other Land Use (AFOLU) sector," OECD Food, Agriculture and Fisheries Papers 149, OECD Publishing.
    16. Bai, Yuping & Deng, Xiangzheng & Cheng, Yunfei & Hu, Yecui & Zhang, Lijin, 2021. "Exploring regional land use dynamics under shared socioeconomic pathways: A case study in Inner Mongolia, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    17. Stefan Frank & Robert Beach & Petr Havlík & Hugo Valin & Mario Herrero & Aline Mosnier & Tomoko Hasegawa & Jared Creason & Shaun Ragnauth & Michael Obersteiner, 2018. "Structural change as a key component for agricultural non-CO2 mitigation efforts," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    18. Maria Blanco & Peter Witzke & Ignacio Perez Dominguez & Guna Salputra & Pilar Martinez, 2015. "Extension of the CAPRI model with an irrigation sub-module," JRC Research Reports JRC99828, Joint Research Centre.
    19. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    20. Solberg, Birger & Moiseyev, Alex & Hansen, Jon Øvrum & Horn, Svein Jarle & Øverland, Margareth, 2021. "Wood for food: Economic impacts of sustainable use of forest biomass for salmon feed production in Norway," Forest Policy and Economics, Elsevier, vol. 122(C).

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    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:pugtwp:332784. 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/gtpurus.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.