IDEAS home Printed from https://ideas.repec.org/p/dsr/wpaper/02.html
   My bibliography  Save this paper

Climate Change, Water Scarcity in Agriculture and the Country-Level Economic Impacts. A Multimarket Analysis

Author

Listed:
  • Roberto Ponce
  • María Blanco
  • Carlo Giupponi

    (School of Business and Economics, Universidad del Desarrollo)

Abstract

Agriculture could be one of the most vulnerable economic sectors to the impacts of climate change in the coming decades. Considering the critical role that water plays for agricultural production, any shock in water availability will have great implications for agricultural production, land allocation, and agricultural prices. In this paper, an Agricultural Multimarket model is developed to analyze climate change impacts in developing countries, accounting for the uncertainty associated with the impacts of climate change. The model has a structure flexible enough to represent local conditions, resource availability, and market conditions. The results suggest different economic consequences of climate change depending on the specific activity, with many distributional effects across regions.

Suggested Citation

  • Roberto Ponce & María Blanco & Carlo Giupponi, 2014. "Climate Change, Water Scarcity in Agriculture and the Country-Level Economic Impacts. A Multimarket Analysis," Serie Working Papers 02, Universidad del Desarrollo, School of Business and Economics, revised Nov 2014.
  • Handle: RePEc:dsr:wpaper:02
    as

    Download full text from publisher

    File URL: http://repositorio.udd.cl/bitstream/handle/11447/20/wp02.pdf
    File Function: First version, 2007
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Blanco, Maria & Cortignani, Raffaele & Severini, Simone, 2008. "Evaluating Changes in Cropping Patterns due to the 2003 CAP Reform. An Ex-post Analysis of Different PMP Approaches Considering New Activities," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6674, European Association of Agricultural Economists.
    2. Ottmar Röhm & Stephan Dabbert, 2003. "Integrating Agri-Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 254-265.
    3. Heckelei, Thomas & Britz, Wolfgang, 2005. "Models Based on Positive Mathematical Programming: State of the Art and Further Extensions," 89th Seminar, February 2-5, 2005, Parma, Italy 234607, European Association of Agricultural Economists.
    4. Gamal M. Siam & André Croppenstedt, 2007. "An Assessment of the Impact of Wheat Market Liberalization in Egypt; A Multi-Market Model Approach," Working Papers 07-15, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    5. André Croppenstedt & Lorenzo Giovanni Bellú & Fabrizio Bresciani & Stefania DiGiuseppe, 2007. "Agricultural Policy Impact Analysis with Multi-Market Models: A Primer," Working Papers 07-26, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    6. 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.
    7. Cortignani, Raffaele & Severini, Simone, 2009. "Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming," Agricultural Water Management, Elsevier, vol. 96(12), pages 1785-1791, December.
    8. Kan, Iddo & Haim, David & Rapaport-Rom, Mickey & Shechter, Mordechai, 2009. "Environmental amenities and optimal agricultural land use: The case of Israel," Ecological Economics, Elsevier, vol. 68(6), pages 1893-1898, April.
    9. Henseler, Martin & Wirsig, Alexander & Herrmann, Sylvia & Krimly, Tatjana & Dabbert, Stephan, 2009. "Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach," Agricultural Systems, Elsevier, vol. 100(1-3), pages 31-42, April.
    Full references (including those not matched with items on IDEAS)

    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. Lee, Hwarang & Eom, Jiyong & Cho, Cheolhung & Koo, Yoonmo, 2019. "A bottom-up model of industrial energy system with positive mathematical programming," Energy, Elsevier, vol. 173(C), pages 679-690.
    2. Cortignani, Raffaele & Severini, Simone, 2009. "Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming," Agricultural Water Management, Elsevier, vol. 96(12), pages 1785-1791, December.
    3. He, Lixia & Horbulyk, Theodore M. & Ali, Md. Kamar & Le Roy, Danny G. & Klein, K.K., 2012. "Proportional water sharing vs. seniority-based allocation in the Bow River basin of Southern Alberta," Agricultural Water Management, Elsevier, vol. 104(C), pages 21-31.
    4. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    5. Fragoso, R. & Marques, C. & Lucas, M.R. & Martins, M.B. & Jorge, R., 2011. "The economic effects of common agricultural policy on Mediterranean montado/dehesa ecosystem," Journal of Policy Modeling, Elsevier, vol. 33(2), pages 311-327, March.
    6. Ali, Md Kamar & Klein, K.K., 2014. "Implications of current and alternative water allocation policies in the Bow River Sub Basin of Southern Alberta," Agricultural Water Management, Elsevier, vol. 133(C), pages 1-11.
    7. Gallego-Ayala, Jordi & Gómez-Limón Rodríguez, José A., 2010. "Evaluación del impacto de la tarifación del agua de riego sobre la sostenibilidad del regadío: una aproximación a través de indicadores sintéticos/Impact assessment of irrigation water pricing in irri," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 28, pages 375-404, Agosto.
    8. Donati, Michele & Bodini, Diego & Arfini, Filippo & Zezza, Annalisa, 2013. "An integrated PMP model to assess the development of agro-energy crops and the effect on water requirements," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 2(3), pages 1-21, December.
    9. Judez, Lucinio & de Andres, Rosario & Ibanez, M. & De Miguel, J.M. & Miguel, J.L. & Urzainqui, Elvira, 2008. "Impact Of The Cap Reform On The Spanish Agricultural Sector," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44830, European Association of Agricultural Economists.
    10. Judez, Lucinio & de Andres, Rosario & Ibanez, M. & Urzainqui, Elvira, 2008. "A Method For Including In Pmp Models Activities Non-Existent In The Baseline Situation," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44243, European Association of Agricultural Economists.
    11. Cortignani, Raffaele & Severini, Simone, 2010. "The impact of reforming the Common Agricultural Policy on the sustainability of the irrigated area of Central Italy. An empirical assessment by means of a Positive Mathematical Programming model," 120th Seminar, September 2-4, 2010, Chania, Crete 109318, European Association of Agricultural Economists.
    12. Siwa Msangi & Sarah Ann Cline, 2016. "Improving Groundwater Management for Indian Agriculture: Assessing Tradeoffs Across Policy Instruments," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-33, September.
    13. Louhichi, Kamel & Ciaian, Pavel & Espinosa, Maria & Colen, Liesbeth & Perni, Angel & Paloma, Sergio, 2015. "The Impact of Crop Diversification Measure: EU-wide Evidence Based on IFM-CAP Model," 2015 Conference, August 9-14, 2015, Milan, Italy 211542, International Association of Agricultural Economists.
    14. Christian Franco-Crespo & Jose Maria Sumpsi Viñas, 2017. "The Impact of Pricing Policies on Irrigation Water for Agro-Food Farms in Ecuador," Sustainability, MDPI, vol. 9(9), pages 1-18, August.
    15. Dono, Gabriele & Cortignani, Raffaele & Giraldo, Luca & Doro, Luca & Roggero, Pier Paolo, 2014. "Assessing the awareness of climate change as a factor of adaptation in the agricultural sector," 2014 Third Congress, June 25-27, 2014, Alghero, Italy 173110, Italian Association of Agricultural and Applied Economics (AIEAA).
    16. Louhichi, Kamel & Ciaian, Pavel & Espinosa, Maria & Colen, Liesbeth & Perni, Angel & Gomez y Paloma, Sergio, 2015. "EU-wide individual Farm Model for CAP Analysis (IFM-CAP): Application to Crop Diversification Policy," 2015 Conference, August 9-14, 2015, Milan, Italy 212155, International Association of Agricultural Economists.
    17. Kamel Elouhichi & Pascal Tillie & Aymeric Ricome & Sergio Gomez-Y-Paloma, 2020. "Modelling Farm-household Livelihoods in Developing Economies: Insights from three country case studies using LSMS-ISA data," JRC Research Reports JRC118822, Joint Research Centre.
    18. Arata, Linda & Donati, Michele & Sckokai, Paolo & Arfini, Filippo, 2014. "Incorporating risk in a positive mathematical programming framework: a new methodological approach," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182659, European Association of Agricultural Economists.
    19. Yan, Tingting & Wang, Jinxia & Huang, Jikun, 2015. "Urbanization, agricultural water use, and regional and national crop production in China," Ecological Modelling, Elsevier, vol. 318(C), pages 226-235.
    20. Bulgheroni, Claudia & Sali, Guido, 2008. "Pressure Factors Affecting Lombardy Agricultural System: The Environmental Consequences Of The Fischler Reform," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44827, European Association of Agricultural Economists.

    More about this item

    Keywords

    Agricultural Multimarket Model; Climate Change; Agriculture; Water Resources; Uncertainty.;
    All these keywords.

    JEL classification:

    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:dsr:wpaper:02. 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: Jean Sepulveda (email available below). General contact details of provider: https://edirc.repec.org/data/feuddcl.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.