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Municipal vulnerability to climate change and climate related events in Mexico

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  • Borja-Vega, Christian
  • de la Fuente, Alejandro

Abstract

A climate change vulnerability index in agriculture is presented at the municipal level in Mexico. Because the index is built with a multidimensional approach to vulnerability (exposure, sensitivity and adaptive capacity), it represents a tool for policy makers, academics and government alike to inform decisions about climate change resilience and regional variations within the country. The index entails baseline (2005) and prediction (2045) levels based on historic climate data and future-climate modeling. The results of the analysis suggest a wide variation in municipal vulnerability across the country at baseline and prediction points. The vulnerability index shows that highly vulnerable municipalities demonstrate higher climate extremes, which increases uncertainty for harvest periods, and for agricultural yields and outputs. The index shows at baseline that coastal areas host some of the most vulnerable municipalities to climate change in Mexico. However, it also shows that the Northwest and Central regions will likely experience the largest shifts in vulnerability between 2005 and 2045. Finally, vulnerability is found to vary according to specific variables: municipalities with higher vulnerability have more adverse socio-demographic conditions. With the vast municipal data available in Mexico, further sub-index estimations can lead to answers for specific policy and research questions.

Suggested Citation

  • Borja-Vega, Christian & de la Fuente, Alejandro, 2013. "Municipal vulnerability to climate change and climate related events in Mexico," Policy Research Working Paper Series 6417, The World Bank.
  • Handle: RePEc:wbk:wbrwps:6417
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    References listed on IDEAS

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    1. Michela Biasutti & Adam Sobel & Suzana Camargo & Timothy Creyts, 2012. "Projected changes in the physical climate of the Gulf Coast and Caribbean," Climatic Change, Springer, vol. 112(3), pages 819-845, June.
    2. Messer, Lynne C. & Vinikoor, Lisa C. & Laraia, Barbara A. & Kaufman, Jay S. & Eyster, Janet & Holzman, Claudia & Culhane, Jennifer & Elo, Irma & Burke, Jessica G. & O'Campo, Patricia, 2008. "Socioeconomic domains and associations with preterm birth," Social Science & Medicine, Elsevier, vol. 67(8), pages 1247-1257, October.
    3. Gjølberg, Maria, 2009. "Measuring the immeasurable?: Constructing an index of CSR practices and CSR performance in 20 countries," Scandinavian Journal of Management, Elsevier, vol. 25(1), pages 10-22, March.
    4. Havard, Sabrina & Deguen, Séverine & Bodin, Julie & Louis, Karine & Laurent, Olivier & Bard, Denis, 2008. "A small-area index of socioeconomic deprivation to capture health inequalities in France," Social Science & Medicine, Elsevier, vol. 67(12), pages 2007-2016, December.
    5. Jeroen Boelhouwer & Ineke Stoop, 1999. "Measuring well-being in the Netherlands: The SCP index from 1974 to 1997," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 48(1), pages 51-75, September.
    6. Lawrence H. Shaw, 1964. "The Effect of Weather on Agricultural Output: A Look at Methodology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(1), pages 218-230.
    7. Jean-Christophe Fotso & Barthelemy Kuate-Defo, 2005. "Measuring socioeconomic status in health research in developing countries: Should we be focusing on households, communities or both?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 72(2), pages 189-237, June.
    8. Dejian Lai, 2003. "Principal Component Analysis on Human Development Indicators of China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 61(3), pages 319-330, March.
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    Cited by:

    1. Santosh Pathak & Hari Krishna Panta & Thaneshwar Bhandari & Krishna P. Paudel, 2020. "Flood vulnerability and its influencing factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2175-2196, December.
    2. Nuñez, Hector M. & Chakrabortu, Lopamudra & Robles-Chavez, Jesus Eduardo, 2021. "Impacts of Weather Shocks on Crop Yields in Mexico," 2021 Conference, August 17-31, 2021, Virtual 314988, International Association of Agricultural Economists.

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    Keywords

    Climate Change Mitigation and Green House Gases; Science of Climate Change; Population Policies; Climate Change Economics; Statistical&Mathematical Sciences;
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