Natural Disasters, Public Housing, and the Role of Disaster Aid

2021 ◽  
Author(s):  
Meri Davlasheridze ◽  
Qing Miao
Keyword(s):  
Natural Disasters ◽  
Public Housing ◽  
Disaster Aid

scholarly journals Natural Disasters and Economic Growth: The Mitigating Role of Microfinance Institutions

2021 ◽  
Vol 13 (9) ◽  
pp. 5055
Author(s):  
John Sseruyange ◽  
Jeroen Klomp
Keyword(s):  
Developing Countries ◽  
Natural Disasters ◽  
Legal Status ◽  
Agricultural Sector ◽  
Banking System ◽  
Fe Model ◽  
Microfinance Institutions ◽  
Natural Event ◽  
Negative Effect

In this study, we explore whether microfinance institutions (MFIs) can mitigate the adverse macroeconomic consequences of natural disasters. The provision of capital immediately following a natural event is recognized as one of the necessary conditions for a fast economic recovery. However, one concern is that a large majority of natural disasters occur in developing countries where households and the private sector have only limited access to the formal banking system. As an alternative, MFIs may fill up this gap in providing liquidity in the form of microcredit. The existing evidence on how MFIs respond to disaster effects is foremost based on case and micro-level evidence. In turn, the focus of this study is more on the macro impact of MFI activities after a natural disaster. Based on the finding obtained from an OLS-FE model using an unbalanced panel considering more than 80 developing countries and emerging economies, we can conclude that natural disasters harm macroeconomic performance primarily through their effect on the agricultural sector. However, access to lending facilities from MFIs mitigates a large part of this negative effect. Moreover, the extent to which MFIs are able to mitigate these effects depends to a great extent on their nature, i.e., their organizational structure, profitability, legal status, age, and the number of clients they serve.

Improving public housing policies that target low-income households: The value of adding proximity to discretion

2021 ◽  
pp. 239965442110411
Author(s):  
Lauro Gonzalez ◽  
Fernanda Lima-Silva ◽  
Marlei Pozzebon
Keyword(s):  
Public Housing ◽  
Low Income ◽  
Implementation Process ◽  
Positive Influence ◽  
Housing Policies ◽  
Collective Case Study ◽  
Street Level ◽  
Leading Role

Research on street-level bureaucrats has examined the various ways in which these professionals have implemented public policies in areas such as healthcare, education, and security, often emphasizing the role played by discretion in the implementation process. Despite its importance, the concept of street-level bureaucracy has scarcely been approached by housing studies. This study focuses on the role of street-level workers in the delivery of public housing to the lower-income population. We affirm the value of complementing street-level discretion with the concept of proximity, a premise borrowed from the microfinance literature, to increase the understanding of the interactions and relationships established between street-level workers and policy recipients during the implementation process. Such complementarity may contribute to a more accurate understanding of the housing policy implementation dynamics on the street-level and the possible adjustments to meet local needs. To explore this issue, we used a theoretical lens inspired by Goffman’s frame analysis that points to the importance of relational mechanisms that characterize the interactions between street-level workers and beneficiaries. These lenses were applied to a collective case study of Minha Casa Minha Vida-Entidades, a Brazilian subprogram in which street-level workers linked to social housing movements assume a leading role in the planning and execution of interventions. The results indicate that the combination of proximity and discretion has a positive influence on the implementation of housing policies. Our analysis shows the existence of nonprofit-oriented arrangements that may present different features and nuances at the implementation (micro) level and contribute to the (macro) debate on housing policies.

scholarly journals Tweeting after an earthquake: user localization and communication patterns during the 2012 Emilia seismic sequence

2016 ◽  
Vol 59 (5) ◽  
Author(s):  
Francesca Comunello ◽  
Lorenza Parisi ◽  
Valentino Lauciani ◽  
Federica Magnoni ◽  
Emanuele Casarotti
Keyword(s):  
Social Media ◽  
Natural Disasters ◽  
Disaster Response ◽  
Communication Patterns ◽  
Seismic Sequence

The main goal of this paper is analysing how user’s location, relative to the epicenter of an earthquake, affects the different tweeting strategies adopted. For this purpose, we analyze a dataset of tweets that were generated around the 2012 Emilia earthquakes and that are geolocalized in Italy. In our analysis, we rely on existing literature on social media and natural disasters, considering literature exploring interactions and influence on Twitter, and literature focusing on the role of geolocalized user-generated information in disaster response.

scholarly journals Citizen Participation in Responding to Natural Disasters Through Twitter Messages

2020 ◽  
Vol 5 (2) ◽  
pp. 123
Author(s):  
Rizky Pamuji ◽  
Ismiarta Aknuranda ◽  
Fatwa Ramdani
Keyword(s):  
Social Media ◽  
Natural Disasters ◽  
Citizen Science ◽  
Citizen Participation ◽  
Disaster Relief ◽  
Local Communities ◽  
Citizen Involvement ◽  
The Government

Citizen participation in collect and distribute information increase the role of the citizen involvement in local issues and increasing the benefits of society for the government and the environment. The contribution of citizens can be useful in helping to deal with environment problems and assist certain parties in meeting data needs, this is commonly referred to as citizen science. In its development, citizen science involvement in providing information began to involve social media as a platform for sharing information. In this study we try to explore citizen science of Indonesia, we conduct case study exploring how citizen in Indonesia used social media such as Twitter in response to one of the country’s worst disaster in 2018 namely Lombok Earthquake. By analyzing these user generate message we may know what the response of Indonesian citizen during event and understand more about citizen science in Indonesia through social media including its role and contribution. The information also may assist local communities in obtaining up-to-date information, providing assistance according to needs of the populace and use to manage and plan disaster relief both during and after the event.

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