Efficiencies of bonding, bridging and linking social capital: Cleaning up after disasters in Japan
Efficiencies of bonding, bridging and linking social capital: Cleaning up after disasters in Japan
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DOI：
10.1016/j.ijdrr.2018.09.010
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发表时间：
2019-02-01
影响因子：
5
通讯作者：
Kim, Karl
中科院分区：
文献类型：
--
作者：
Kawamoto, Kiyomi;Kim, Karl
这项研究阐明了在日本发生重大灾难后，不同类型的社会资本(SC)如何影响废物管理的效率。供应链的不同形式有认知型供应链和结构型供应链，前者以信任或共享规范的形式存在，后者以网络的形式存在。它分析了结构性SC(结合、连接和连接)对基于社区的废物管理的影响。收集了岩手县和宫城县等沿海城市的数据。采用数据包络分析(DEA)的超效率模型，对不同类型的结构性供应链的效率进行了量化。研究结果表明，新的认知认知网络的形成反过来又影响了认知。随着社区进入较长期的重建阶段，这些新形成的网络迅速减少。联系科学中心为地震废物管理产生了最大的效率。
This study clarifies how different types of social capital (SC) affect the efficiencies of waste management following a major disaster in Japan. The different forms of SC are cognitive SC which is in the form of trust or shared norms and structural SC which is in the form of networks. It presents an analysis of the effects of structural SC (bonding, bridging, and linking) on community-based waste management. Data from the coastal cities of Iwate and Miyagi prefectures were collected. Data Envelopment Analysis (DEA) with a super-efficiency model was developed to quantify the efficiencies of various types of structural SC. The results of the study show that new SC networks were formed which in turn influenced cognitive SC. These newly formed networks rapidly decreased as communities progressed into the longer-term reconstruction phase. Linking SC produced the greatest efficiencies for earthquake waste management.