Social, not physical, infrastructure: the critical role of civil society after the 1923 Tokyo earthquake

Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This article illuminates four factors—damage, population density, human capital, and economic capital—that are thought to explain the variation in t...

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Vydané v:	Disasters Ročník 36; číslo 3; s. 398 - 419
Hlavný autor:	Aldrich, Daniel P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford, UK Blackwell Publishing Ltd 01.07.2012
Predmet:	Accidents Capital Civil Society Cross-sectional analysis Cross-Sectional Studies Cultural Capital Damage Disaster management Disaster recovery Disaster Relief Disasters Disasters - history Earthquake damage Earthquake prediction Earthquakes Earthquakes - history Earthquakes - statistics & numerical data Economic conditions Economic Factors Economics Handling History, 20th Century Human Capital Humans Infrastructure Japan Mathematical models Natural disasters Neighborhoods Population Population Density Population Dynamics - history Propensity Propensity Score Public policy Quantitative analysis Recovery Residence Characteristics Seismic activity Seismic phenomena Social capital Social Environment Social factors Social sciences Studies Time series Tokyo Tokyo earthquake Tokyo, Japan Tokyo Tokyo Japan Japan
ISSN:	0361-3666, 1467-7717, 1467-7717
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Abstract	Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This article illuminates four factors—damage, population density, human capital, and economic capital—that are thought to explain the variation in the pace of population recovery following disaster; it also explores the popular but relatively untested factor of social capital. Using time‐series, cross‐sectional models and propensity score matching, it tests these approaches using new data from the rebuilding of 39 neighbourhoods in Tokyo after its 1923 earthquake. Social capital, more than earthquake damage, population density, human capital, or economic capital, best predicts population recovery in post‐earthquake Tokyo. These findings suggest new approaches for research on social capital and disasters as well as public policy avenues for handling catastrophes.
AbstractList	Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This article illuminates four factors-damage, population density, human capital, and economic capital-that are thought to explain the variation in the pace of population recovery following disaster; it also explores the popular but relatively untested factor of social capital. Using time-series, cross-sectional models and propensity score matching, it tests these approaches using new data from the rebuilding of 39 neighbourhoods in Tokyo after its 1923 earthquake. Social capital, more than earthquake damage, population density, human capital, or economic capital, best predicts population recovery in post-earthquake Tokyo. These findings suggest new approaches for research on social capital and disasters as well as public policy avenues for handling catastrophes. Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This article illuminates four factors -- damage, population density, human capital, and economic capital -- that are thought to explain the variation in the pace of population recovery following disaster; it also explores the popular but relatively untested factor of social capital. Using time-series, cross-sectional models and propensity score matching, it tests these approaches using new data from the rebuilding of 39 neighbourhoods in Tokyo after its 1923 earthquake. Social capital, more than earthquake damage, population density, human capital, or economic capital, best predicts population recovery in post-earthquake Tokyo. These findings suggest new approaches for research on social capital and disasters as well as public policy avenues for handling catastrophes. [PUBLICATION ABSTRACT] Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This article illuminates four factors-damage, population density, human capital, and economic capital-that are thought to explain the variation in the pace of population recovery following disaster; it also explores the popular but relatively untested factor of social capital. Using time-series, cross-sectional models and propensity score matching, it tests these approaches using new data from the rebuilding of 39 neighbourhoods in Tokyo after its 1923 earthquake. Social capital, more than earthquake damage, population density, human capital, or economic capital, best predicts population recovery in post-earthquake Tokyo. These findings suggest new approaches for research on social capital and disasters as well as public policy avenues for handling catastrophes. Adapted from the source document. Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This article illuminates four factors - damage, population density, human capital, and economic capital - that are thought to explain the variation in the pace of population recovery following disaster; it also explores the popular but relatively untested factor of social capital. Using time-series, cross-sectional models and propensity score matching, it tests these approaches using new data from the rebuilding of 39 neighbourhoods in Tokyo after its 1923 earthquake. Social capital, more than earthquake damage, population density, human capital, or economic capital, best predicts population recovery in post-earthquake Tokyo. These findings suggest new approaches for research on social capital and disasters as well as public policy avenues for handling catastrophes. Reprinted by permission of Blackwell Publishers Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This article illuminates four factors-damage, population density, human capital, and economic capital-that are thought to explain the variation in the pace of population recovery following disaster; it also explores the popular but relatively untested factor of social capital. Using time-series, cross-sectional models and propensity score matching, it tests these approaches using new data from the rebuilding of 39 neighbourhoods in Tokyo after its 1923 earthquake. Social capital, more than earthquake damage, population density, human capital, or economic capital, best predicts population recovery in post-earthquake Tokyo. These findings suggest new approaches for research on social capital and disasters as well as public policy avenues for handling catastrophes.Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This article illuminates four factors-damage, population density, human capital, and economic capital-that are thought to explain the variation in the pace of population recovery following disaster; it also explores the popular but relatively untested factor of social capital. Using time-series, cross-sectional models and propensity score matching, it tests these approaches using new data from the rebuilding of 39 neighbourhoods in Tokyo after its 1923 earthquake. Social capital, more than earthquake damage, population density, human capital, or economic capital, best predicts population recovery in post-earthquake Tokyo. These findings suggest new approaches for research on social capital and disasters as well as public policy avenues for handling catastrophes.
Author	Aldrich, Daniel P.
Author_xml	– sequence: 1 givenname: Daniel P. surname: Aldrich fullname: Aldrich, Daniel P. organization: Associate Professor, Department of Political Science, Purdue University, United States
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Snippet	Despite the tremendous destruction wrought by catastrophes, social science holds few quantitative assessments of explanations for the rate of recovery. This...
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SubjectTerms	Accidents Capital Civil Society Cross-sectional analysis Cross-Sectional Studies Cultural Capital Damage Disaster management Disaster recovery Disaster Relief Disasters Disasters - history Earthquake damage Earthquake prediction Earthquakes Earthquakes - history Earthquakes - statistics & numerical data Economic conditions Economic Factors Economics Handling History, 20th Century Human Capital Humans Infrastructure Japan Mathematical models Natural disasters Neighborhoods Population Population Density Population Dynamics - history Propensity Propensity Score Public policy Quantitative analysis Recovery Residence Characteristics Seismic activity Seismic phenomena Social capital Social Environment Social factors Social sciences Studies Time series Tokyo Tokyo earthquake Tokyo, Japan
Title	Social, not physical, infrastructure: the critical role of civil society after the 1923 Tokyo earthquake
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