IDEAS home Printed from https://ideas.repec.org/p/esr/wpaper/wp408.html

A Critique of The Economics of Climate Change in Mexico

Author

Listed:
  • Estrada, Francisco
  • Tol, Richard S. J.
  • Gay-Garc a, Carlos

Abstract

This paper revises some relevant aspects of The Economics of Climate Change in Mexico (ECCM), one of the most important documents for supporting national decisionmaking regarding the climate change international negotiations. In addition to pointing out some important methodological inadequacies, this paper shows that the ECCM's main results are questionable. Even though this study was inspired on the Stern Review and benefited from the support of original members of the Stern team, the ECCM is not consistent with the world portrayed in the Stern Review in many aspects, particularly regarding the importance of climate change impacts. The estimates of the costs of climate change for Mexico are so low that can hardly be considered to be consistent with the previous studies that have been reported in the literature concerning regional and global scales. Furthermore, it is shown that the document's main conclusion is not supported even by the estimates of the costs of the impacts of climate change and of the mitigation strategies that are presented in it. It is argued that this document has important deficiencies that do not make it adequate for supporting decision-making. In addition, the ECCM has inspired other reports regarding the economics of climate change in Central and Latin America, and as is shown here, their results are also questionable. This raises further reasons for concern because these national documents are building a regional view of what climate change could imply for Latin America that severely underestimates the importance of this phenomenon.

Suggested Citation

  • Estrada, Francisco & Tol, Richard S. J. & Gay-Garc a, Carlos, 2011. "A Critique of The Economics of Climate Change in Mexico," Papers WP408, Economic and Social Research Institute (ESRI).
    • Handle: RePEc:esr:wpaper:wp408
    as

    Download full text from publisher

    File URL: https://www.esri.ie/pubs/WP408.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francisco Estrada & Benjamín Martínez-López & Cecilia Conde & Carlos Gay-García, 2012. "The new national climate change documents of Mexico: what do the regional climate change scenarios represent?," Climatic Change, Springer, vol. 110(3), pages 1029-1046, February.
    2. William R. Cline, 1992. "Economics of Global Warming, The," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 39, Junio.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    4. Nelson, Daniel B & Cao, Charles Q, 1992. "Inequality Constraints in the Univariate GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 229-235, April.
    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. Andersen, Lykke E. & Breisinger, Clemens & Mason-D'Croz, Daniel & Jemio, Luis Carlos & Ringler, Claudia & Robertson, Richard D. & Verner, Dorte & Wiebelt, Manfred, 2014. "Agriculture, incomes, and gender in Latin America by 2050: An assessment of climate change impacts and household resilience for Brazil, Mexico, and Peru," IFPRI discussion papers 1390, International Food Policy Research Institute (IFPRI).

    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. Dimitrakopoulos, Dimitris N. & Kavussanos, Manolis G. & Spyrou, Spyros I., 2010. "Value at risk models for volatile emerging markets equity portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 515-526, November.
    2. Doornik, Jurgen A. & Ooms, Marius, 2008. "Multimodality in GARCH regression models," International Journal of Forecasting, Elsevier, vol. 24(3), pages 432-448.
    3. Chen, Cathy W.S. & Gerlach, Richard H. & Tai, Amanda P.J., 2008. "Testing for nonlinearity in mean and volatility for heteroskedastic models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 489-499.
    4. Janani Sri S. & Parthajit Kayal & G. Balasubramanian, 2022. "Can Equity be Safe-haven for Investment?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 32-63, March.
    5. McMillan, David G. & Speight, Alan E. H., 2001. "Non-ferrous metals price volatility: a component analysis," Resources Policy, Elsevier, vol. 27(3), pages 199-207, September.
    6. Pan, Qunxing & Li, Peng & Du, Xiuli, 2023. "An improved FIGARCH model with the fractional differencing operator (1-νL)d," Finance Research Letters, Elsevier, vol. 55(PB).
    7. Neely, Christopher J., 1999. "Target zones and conditional volatility: The role of realignments," Journal of Empirical Finance, Elsevier, vol. 6(2), pages 177-192, April.
    8. Hu, Michael Y. & Jiang, Christine X. & Tsoukalas, Christos, 1997. "The European exchange rates before and after the establishment of the European Monetary System," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(3), pages 235-253, October.
    9. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    10. Silvennoinen Annastiina & Teräsvirta Timo, 2016. "Testing constancy of unconditional variance in volatility models by misspecification and specification tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 347-364, September.
    11. Marcin Fałdziński & Piotr Fiszeder & Witold Orzeszko, 2020. "Forecasting Volatility of Energy Commodities: Comparison of GARCH Models with Support Vector Regression," Energies, MDPI, vol. 14(1), pages 1-18, December.
    12. Stavros Stavroyiannis, 2017. "A note on the Nelson Cao inequality constraints in the GJR-GARCH model: Is there a leverage effect?," Papers 1705.00535, arXiv.org.
    13. Nakatani, Tomoaki & Teräsvirta, Timo, 2008. "Positivity constraints on the conditional variances in the family of conditional correlation GARCH models," Finance Research Letters, Elsevier, vol. 5(2), pages 88-95, June.
    14. David McMillan & Alan Speight, 2006. "Heterogeneous information flows and intra-day volatility dynamics: evidence from the UK FTSE-100 stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 959-972.
    15. repec:bla:jecsur:v:22:y:2008:i:4:p:711-751 is not listed on IDEAS
    16. Christian Francq & Jean-Michel Zakoïan, 2006. "Inference in GARCH when some coefficients are equal to zero," Computing in Economics and Finance 2006 64, Society for Computational Economics.
    17. Christoffersen, Peter & Jacobs, Kris & Ornthanalai, Chayawat & Wang, Yintian, 2008. "Option valuation with long-run and short-run volatility components," Journal of Financial Economics, Elsevier, vol. 90(3), pages 272-297, December.
    18. Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
    19. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    20. Hentschel, Ludger, 1995. "All in the family Nesting symmetric and asymmetric GARCH models," Journal of Financial Economics, Elsevier, vol. 39(1), pages 71-104, September.
    21. Shields, Kalvinder K, 1997. "Threshold Modelling of Stock Return Volatility on Eastern European Markets," Economic Change and Restructuring, Springer, vol. 30(2-3), pages 107-125.

    More about this item

    Keywords

    ;

    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:esr:wpaper:wp408. 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: Sarah Burns (email available below). General contact details of provider: https://edirc.repec.org/data/esriiie.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.