Economic Analysis Of Population Migration Factors Caused By The Great East Japan Earthquake And Tsunami

Yasuo Kawawaki
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引用次数: 6

Abstract

Population outflow is one of the greatest challenges faced in the areas affected by the 2011 Great East Japan Earthquake and Tsunami. This study developed a location choice model to analyze the factors underlying population migration in the disaster areas. Individual data was collected from residents who were living in disaster areas at the time of the earthquake and tsunami. The main factors of location choice behavior, suggested by the estimation result, were residential social networks, severity of damage, and greater income opportunities in new locations. The results also suggested that high income and younger age are factors of ordinary out†migration from these areas, regardless of the occurrence of a disaster. However, residence in a municipality with a small population that offers limited employment opportunities is a particular factor that accelerates out†migration when that area is impacted by a disaster.
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东日本大地震和海啸造成人口迁移因素的经济学分析
人口外流是2011年东日本大地震和海啸受灾地区面临的最大挑战之一。本文建立了灾区人口迁移区位选择模型,分析了影响灾区人口迁移的因素。个人数据是从地震和海啸发生时居住在灾区的居民中收集的。区位选择行为的主要影响因素为居民社会网络、破坏程度和新区位的收入机会。研究结果还表明,无论是否发生灾害,高收入和较年轻的年龄都是这些地区普通向外迁移的因素。然而,居住在人口少的城市,就业机会有限,这是一个特别的因素,当该地区受到灾难影响时,加速了向外迁移。
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Review of Urban and Regional Development Studies
Review of Urban and Regional Development Studies Social Sciences-Geography, Planning and Development
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1.10
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0.00%
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期刊介绍: Review of Urban & Regional Development Studies (RURDS) focuses on issues of immediate practical interest to those involved in policy formation and implementation. Articles contain rigorous empirical analysis, with many emphasizing policy relevance and the operational aspects of the academic disciplines, while others focus on theoretical and methodological issues. Interdisciplinary and international in perspective, RURDS has a wide appeal: in addition to scholars, readership includes planners, engineers and managers in government, business and development agencies worldwide.
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