<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T07:17:33Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/45372" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/45372</identifier><datestamp>2022-01-13T07:54:44Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Diane Davis.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Flores Ballesteros, Luis</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Urban Studies and Planning</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="accessioned">2009-04-29T17:32:14Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/45372</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">317137281</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2008.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 105-116).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The development of effective community, regional and national risk-management strategies, especially for systemic risks, such as natural disasters, entails understanding the determinants of social vulnerability in individuals and groups, and the factors that foster the adoption of specific mechanisms of risk management and, thus, the elements that supports an efficient implementation process. This thesis contributes to this understanding in the context of communities in developing countries by using data from surveys conducted in the district of Kalahandi, state of Orissa, India, and three municipalities in Mexico, each with a different level of socioeconomic development: Villaflores, Chiapas; Ahome, Sinaloa; and Valle de Santiago, Guanajuato. Using regression modeling of binary response variables, I tested the statistical association between the adoption of formal social risk-management and a number of endogenous and exogenous household characteristics. The results indicate that the likelihood of adoption of formal risk-management strategies increases with the level of the household's association, i.e., its affiliation with local groups; in addition, proximity to roads, financial services and urban-mixed use areas (markets), is less strongly correlated with the likelihood of adoption of risk-management strategies than the level of association, particularly in less-developed environments. These findings are robust to a variety of socioeconomic and demographic characteristics and environmental contexts. Keywords: risk, social risk management, social capital, vulnerability</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Luis Flores Ballesteros.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.C.P.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">116 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Urban Studies and Planning.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Vulnerability and social risk management in India and Mexico</dim:field>
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   	&lt;Title>Vulnerability and social risk management in India and Mexico&lt;/Title>
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   	&lt;PublicationDate>2008&lt;/PublicationDate>
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        	&lt;DisplayName>Flores Ballesteros, Luis&lt;/DisplayName>
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    &lt;Keyword>Urban Studies and Planning.&lt;/Keyword>
   	&lt;Abstract>The development of effective community, regional and national risk-management strategies, especially for systemic risks, such as natural disasters, entails understanding the determinants of social vulnerability in individuals and groups, and the factors that foster the adoption of specific mechanisms of risk management and, thus, the elements that supports an efficient implementation process. This thesis contributes to this understanding in the context of communities in developing countries by using data from surveys conducted in the district of Kalahandi, state of Orissa, India, and three municipalities in Mexico, each with a different level of socioeconomic development: Villaflores, Chiapas; Ahome, Sinaloa; and Valle de Santiago, Guanajuato. Using regression modeling of binary response variables, I tested the statistical association between the adoption of formal social risk-management and a number of endogenous and exogenous household characteristics. The results indicate that the likelihood of adoption of formal risk-management strategies increases with the level of the household&amp;apos;s association, i.e., its affiliation with local groups; in addition, proximity to roads, financial services and urban-mixed use areas (markets), is less strongly correlated with the likelihood of adoption of risk-management strategies than the level of association, particularly in less-developed environments. These findings are robust to a variety of socioeconomic and demographic characteristics and environmental contexts. Keywords: risk, social risk management, social capital, vulnerability&lt;/Abstract>
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