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논문 기본 정보

자료유형
학술저널
저자정보
Akio Egawa (St. Andrew’s University)
저널정보
계명대학교 사회과학연구소 한국사회과학연구 한국사회과학연구 제35권 제1호
발행연도
2016.6
수록면
23 - 60 (38page)
DOI
10.18284/jss.2016.06.35.1.23

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초록· 키워드

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This paper discusses how important it is to quantitatively measure the severity of the damage caused by a serious natural disaster, and the state of restoration and reconstruction after the devastation has occurred. Efforts for quantitatively understanding the state of restoration were not observed in the government sector, even after the Great East Japan Earthquake had occurred. A private research institute established its indices measuring the state of restoration, but there was no visible evidence that government agencies had utilised them for policymaking or for policy assessment.
Promptly revising the checklist of statistics that look at the major concerns of disaster victims is necessary as restoration proceeds and government policy delivery becomes more focused on the reconstruction of cities. This paper presents a possible direction for the revision of existing methods of measurement. Three strategies for improvement of the government’s policymaking methods can be identified. (1) A new index suitable for measuring the state of reconstruction at a prefectural level will need to be created in the current stage. (2) A government policy framework for utilising the index should be systematically established as a practice of the EBP. (3) The government should make a business continuation plan for statistical work, and develop guidelines for the treatment and generation of necessary statistics before the next severe disaster occurs, to ensure that the provision of data is therefore rapid and smooth.

목차

1. Introduction
2. Importance of evidence-based policymaking for restoration and reconstruction following a disaster
3. Efforts undertaken to understand the extent of damage and state of restoration and reconstruction following the Great East Japan Earthquake in 2011
4. The importance of timely revision of the Indices and associated constraints
5. Remaining constraints
6. Conclusion
References
Abstract

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