The natural disaster damage assessment of Sichuan province based on grey fixed-weight cluster

2016 ◽  
Vol 6 (3) ◽  
pp. 415-425 ◽  
Author(s):  
Tianxiang Yao ◽  
Wenrong Cheng ◽  
Hong Gao
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Sichuan Province ◽  
Economic Losses ◽  
Grey System ◽  
Content Type ◽  
Disaster Loss ◽  
Fixed Weight ◽  
Major Disaster ◽  
The Impact

Purpose The purpose of this paper is to assess the natural disaster damage of Sichuan province and provide suggestions to prevent or decrease the loss owing to the natural disaster. Design/methodology/approach The disaster loss system of Sichuan is regarded as a grey system. Five evaluation indicators are selected such as the number of deaths, total affected area, collapsed houses, damaged houses, and the direct economic losses. Grey fixed-weight clustering approach is applied in the cluster analysis. In order to reduce the impact of human factors, grey correlation analysis method is applied to calculate the weights of grey fixed-weight clustering. Findings The results of this paper indicate that the frequency of occurrence of major natural disaster in Sichuan increased since 2008. The major natural disasters occurred in 2008, 2010, 2011, and 2013. In contrast, there was almost no major disaster during 2000-2007. Minor natural disaster occurred in 2002 and 2003. Practical implications Sichuan province is one of the provinces most affected by natural disasters in China. Natural disasters have occurred frequently in Sichuan province since 2008 and pose serious threats to life and property safety. They have become an important restricting factor for economic and social development. In order to prevent or decrease the effects of natural disasters, effective measures should be taken to protect the environment. Originality/value This paper first normalizes the raw sequence, calculates the weight, and then establishes the grey cluster model. A new method is applied to determine the weight when evaluating natural disaster damage.

scholarly journals Mitigasi Bencana Alam di Kek Tanjung Lesung, Sudahkah Hyogo Framework for Action Diterapkan?

Kosmik Hukum ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 1
Author(s):  
Natalia Yeti Puspita
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Management ◽  
Tourism Industry ◽  
Disaster Mitigation ◽  
Primary Data ◽  
Economic Losses ◽  
Hyogo Framework For Action ◽  
The Government ◽  
The Impact

The threat of natural disasters in Indonesia can occur at any time and has caused suffering for humanity. The tourism industry also feels the impact and consequences of natural disasters. Tsunami on the coast of Banten at the end of 2018 has caused economic losses of up to hundreds of billions in the tourism sector. Mitigation of natural disasters, especially in the tourism industry, is still lacking the attention of the government. In the disaster management system, the state is the main actor who has full responsibility for dealing with the effects of natural disasters. The Government of Indonesia in 2005 ratified the 2005-2015 Hyogo Framework for Action as the government's guidelines in dealing with natural disasters, especially in the field of natural disaster mitigation. This study examines the implementation of HFA concerning natural disaster mitigation in the Special Economic Zone of Tanjung Lesung-Banten, and Cikadu Tourism Village Community. Socio-legal research is used as a research method and uses qualitative data analysis that is analytical descriptive and emphasizes primary data as the main data. This data was obtained by interview and observation. As for supporting primary data, library research is conducted. Based on the results of the study it can be seen that the Government of Indonesia has implemented the HFA by making Law No. 24 of 2007 concerning Disaster Management, but in practice law enforcement has not been felt by Banten coastal communities other than that there is no habit or cultural awareness of disaster response in the community.

scholarly journals Do Long-Term Natural Disasters Influence Social Trust? Empirical Evidence from China

2021 ◽  
Vol 18 (14) ◽  
pp. 7280
Author(s):  
Yao Li ◽  
Haoyang Li ◽  
Jianqing Ruan
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Social Trust ◽  
Geographical Location ◽  
Household Survey ◽  
Flood Frequency ◽  
Psychological Characteristics ◽  
The North ◽  
The Impact

The natural environment is one of the most critical factors that profoundly influences human races. Natural disasters may have enormous effects on individual psychological characteristics. Using China’s long-term historical natural disaster dataset from 1470 to 2000 and data from a household survey in 2012, we explore whether long-term natural disasters affect social trust. We find that there is a statistically significant positive relationship between long-term natural disaster frequency and social trust. We further examine the impact of long-term natural disaster frequency on social trust in specific groups of people. Social trust in neighbors and doctors is stronger where long-term natural disasters are more frequent. Our results are robust after we considering the geographical difference. The effect of long-term natural disasters remains positively significant after we divide the samples based on geographical location. Interestingly, the impact of long-term flood frequency is only significant in the South and the impact of long-term drought frequency is only significant in the North.

Impact of COVID-19 pandemic on community lifelines

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Naeem Abas ◽  
Esmat Kalair ◽  
Saad Dilshad ◽  
Nasrullah Khan
Keyword(s):  
Natural Disasters ◽  
Health Sector ◽  
Ghg Emissions ◽  
Developed Countries ◽  
World Population ◽  
Water Safety ◽  
Content Type ◽  
Essential Services ◽  
The World ◽  
The Impact

PurposeThe authors present the impact of the coronavirus disease 2019 (COVID-19) pandemic on community lifelines. The state machinery has several departments to secure essential lifelines during disasters and epidemics. Many countries have formed national disaster management authorities to deal with manmade and natural disasters. Typical lifelines include food, water, safety and security, continuity of services, medicines and healthcare equipment, gas, oil and electricity supplies, telecommunication services, transportation means and education system. Supply chain systems are often affected by disasters, which should have alternative sources and routes. Doctors, nurses and medics are front-line soldiers against diseases during pandemics.Design/methodology/approachThe COVID-19 pandemic has revealed how much we all are connected yet unprepared for natural disasters. Political leaders prioritize infrastructures, education but overlook the health sector. During the recent pandemic, developed countries faced more mortalities, fatalities and casualties than developing countries. This work surveys the impact of the COVID-19 pandemic on health, energy, environment, industry, education and food supply lines.FindingsThe COVID-19 pandemic caused 7% reductions in greenhouse gas (GHG) emissions during global lockdowns. In addition, COVID-19 has affected social fabric, behaviors, cultures and official routines. Around 2.84 bn doses have been administrated, with approximately 806 m people (10.3% of the world population) are fully vaccinated around the world to date. Most developed vaccines are being evaluated for new variants like alpha, beta, gamma, epsilons and delta first detected in the UK, South Africa, Brazil, USA and India. The COVID-19 pandemic has affected all sectors in society, yet this paper critically reviews the impact of COVID-19 on health and energy lifelines.Practical implicationsThis paper critically reviews the health and energy lifelines during pandemic COVID-19 and explains how these essential services were interrupted.Originality/valueThis paper critically reviews the health and energy lifelines during pandemic COVID-19 and explains how these essential services were interrupted.

Natural disasters and monetary policy: evidence from an augmented Taylor rule

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nicholas Apergis ◽  
James E. Payne
Keyword(s):  
Developing Countries ◽  
Monetary Policy ◽  
Interest Rate ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Taylor Rule ◽  
Nominal Interest Rate ◽  
Policy Response ◽  
Content Type ◽  
Short Run

Purpose The purpose of this paper is to examine the short-run monetary policy response to five different types of natural disasters (geophysical, meteorological, hydrological, climatological and biological) with respect to developed and developing countries, respectively. Design/methodology/approach An augmented Taylor rule monetary policy model is estimated using systems generalized method of moments panel estimation over the period 2000–2018 for a panel of 40 developed and 77 developing countries, respectively. Findings In the case of developed countries, the greatest nominal interest rate response originates from geophysical, meteorological, hydrological and climatological disasters, whereas for developing countries the nominal interest rate response is the greatest for geophysical and meteorological disasters. For both developed and developing countries, the results suggest the monetary authorities will pursue expansionary monetary policies in the short-run to lower nominal interest rates; however, the magnitude of the monetary response varies across the type of natural disaster. Originality/value First, unlike previous studies, which focused on a specific type of natural disaster, this study examines whether the short-run monetary policy response differs across the type of natural disaster. Second, in relation to previous studies, the analysis encompasses a much larger panel data set to include 117 countries differentiated between developed and developing countries.

scholarly journals Obligasi Bencana Alam Dengan Suku Bunga Stokastik Dan Pendekatan Campuran

2016 ◽  
Vol 7 (1) ◽  
pp. 49-62
Author(s):  
Dian Anggraini ◽  
Yasir Wijaya
Keyword(s):  
Interest Rates ◽  
Natural Disaster ◽  
Financial Risk ◽  
Bond Price ◽  
Federal Reserve Bank ◽  
Aggregate Distribution ◽  
Disaster Loss ◽  
Reserve Bank ◽  
Mixed Approach ◽  
The Impact

This study contains the group claims model as discussed by (Lee, 2007)  for the pricing of natural disaster bonds. This research was conducted with several stages. First make the formula of bond price with stochastic interest rate and disaster event following non homogeneous poisson process. It further estimates the parameters of disaster loss data from the Insurance Information Institute (III) from 1989 to 2012 and interest rates from the Federal Reserve Bank. Because the determination of aggregate distribution is difficult to be exact, numerical calculation is done by mixed approach method (Gamma and Inverse Gaussian) to determine the solution of natural disaster bond price. Finally, shows how the impact of financial risk and disaster risk on the price of natural disaster bonds.

The impact of language on retweeting during acute natural disasters: uncertainty reduction and language expectancy perspectives

2020 ◽  
Vol 120 (8) ◽  
pp. 1501-1519 ◽  
Author(s):  
Chang Heon Lee ◽  
Heng Yu
Keyword(s):  
Natural Disasters ◽  
Uncertainty Reduction ◽  
Content Type ◽  
Linguistic Style ◽  
Language Style ◽  
Language Expectancy ◽  
Concrete Language ◽  
The Impact ◽  
Language Content

PurposeSocial media have increasingly gained credibility as information sources in emergencies. Retweeting or resharing nature has made Twitter a popular medium of information dissemination. The purpose of this article is to enhance our understanding of both linguistic style and content properties (i.e. both affective and informational contents) that drives resharing behavior or virality of disaster messages on Twitter. We investigate this issue in the context of natural disaster crisis.Design/methodology/approachIn this study, the authors develop, drawing upon language expectancy and uncertainty reduction theories as an enabling framework, hypotheses about how the language (i.e. style and content) influence resharing behavior. They employ a natural language processing of disaster tweets to examine how the language – linguistic style (concrete and interactive language) and linguistic content (information- and affect-focused language) – affects resharing behavior on Twitter during natural disasters. To examine the effects of both linguistic style and content factors on virality, a series of negative binomial regressions were conducted, particularly owing to the highly skewed count data.FindingsOur analysis of tweets from the 2013 Colorado floods shows that resharing disasters tweets increases with the use of concrete language style during acute emergencies. Interactive language is also positively associated with retweet frequency. In addition, neither positive nor negative emotional tweets drive down resharing during acute crises, while information-focused language content has a significantly positive effect on virality.Practical implicationsAgencies for public safety and disaster management or volunteer organizations involved in disseminating crisis and risk information to the public may leverage the impacts of the linguistic style and language content through the lens of our research model. The findings encourage practitioners to focus on the role of linguistic style cues during acute disasters. Specifically, from the uncertainty reduction perspective, using concrete language in the disaster tweets is the expected norm, leading to a higher likelihood of virality. Also, interactively frame disaster tweets are more likely to be diffused to a larger number of people on Twitter.Originality/valueThe language that people use offer important psychological cue to their intentions and motivations. However, the role of language on Twitter has largely been ignored in this crisis communication and few prior studies have examined the relationship between language and virality during acute emergencies. This article explains the complex and multifaceted nature of information resharing behavior using a multi-theoretical approach – including uncertainty reduction and language expectancy theory – to understand effects of language style and content cues on resharing behavior in the context of natural crisis events.

scholarly journals Institutions and the losses from natural disasters

2008 ◽  
Vol 8 (4) ◽  
pp. 627-634 ◽  
Author(s):  
P. A. Raschky
Keyword(s):  
Natural Disasters ◽  
Natural Hazards ◽  
Large Scale ◽  
Empirical Investigation ◽  
Natural Process ◽  
Economic Losses ◽  
Hazard Management ◽  
Human Economic Activity ◽  
The Impact ◽  
Socio Economic Factors

Abstract. Natural hazards can be seen as a function of a specific natural process and human (economic) activity. Whereby the bulk of literature on natural hazard management has its focus on the natural process, an increasing number of scholars is emphasizing the importance of human activity in this context. Existing literature has identified certain socio-economic factors that determine the impact of natural disasters on society. The purpose of this paper is to highlight the effects of the institutional framework that influences human behavior by setting incentives and to point out the importance of institutional vulnerability. Results from an empirical investigation of large scale natural disasters between 1984 and 2004 show that countries with better institutions experience less victims and lower economic losses from natural disasters. In addition, the results suggest a non-linear relationship between economic development and economic disaster losses. The suggestions in this paper have implications for the discussion on how to deal with the adverse effects of natural hazards and how to develop efficient adaption strategies.

The Local Recovery Process after a Major Natural Disaster

1986 ◽  
Vol 2 (3) ◽  
pp. 669-684
Author(s):  
Claire B. Rubin
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Earthquake Hazard ◽  
Recovery Process ◽  
Dynamic Processes ◽  
Ability To Act ◽  
Major Disaster ◽  
Local Recovery ◽  
Personal Leadership

An organizing framework of the long-term recovery process was developed, after studying first hand how 14 U.S. communities recovered from a major disaster. The framework depicts the dynamic processes that contribute to an efficient local recovery, including the three key elements identified and the inter-relationships among them. The three key elements are personal leadership, ability to act, and knowledge of what to do. Although only one of the disaster events investigated during the four-year study period was a major damaging earthquake, the framework developed appears to be useful for understanding the aftermath of many types of natural disasters. Information about an effective recovery process should be factored into earthquake hazard mitigation and preparedness efforts because sooner or later, whether we are ready or not, we will be recovering from a major earthquake.

Resource integration in liminal periods: transitioning to transformative service

2015 ◽  
Vol 29 (6/7) ◽  
pp. 485-497 ◽  
Author(s):  
Lilliemay Cheung ◽  
Janet R. McColl-Kennedy
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Market Economy ◽  
Value Creation ◽  
Design Methodology ◽  
Moral Economy ◽  
Theory And Practice ◽  
Resource Integration ◽  
Content Type ◽  
Service Logic

Purpose – The purpose of this paper is to introduce a transformative service logic-based framework designed to help researchers and practitioners better understand resource integration in liminal periods. Design/methodology/approach – Using netnography, we show how consumers across four countries integrate resources, adopting different value creation practices following natural disasters. Findings – The authors’ novel framework extends current conceptualizations of social and economic exchange. Following a natural disaster, a state of ‘liminality’ occurs when the market economy is temporarily displaced by the moral economy, transitioning to a new transformative service logic. Research limitations/implications – Important implications for theory and practice are discussed. Originality/value – This research proposes an organizing framework comparing the market economy logic and moral economy logic with the new transformative service logic.

scholarly journals PENGALAMAN KELUARGA MENGHADAPI TRAUMA PASCA BENCANA ALAM DI KAMPUNG LEBO KECAMATAN MANGANITU

2021 ◽  
Vol 5 (1) ◽  
pp. 23-30
Author(s):  
Yenny Budiman Makahaghi ◽  
Conny Juliana Surudani
Keyword(s):  
Data Analysis ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Psychological Burden ◽  
Economic Changes ◽  
Analysis Technique ◽  
The Family ◽  
The Will ◽  
The Impact ◽  
Depth Interviews

Bencana tidak bisa lepas dari siapapun jika sudah kehendak sang kuasa pasti akan terjadi, dan keluarga yang mengalami dampak dari bencana alam ini harus bisa menerima setiap kenyataan hidup yang sudah terjadi. Bencana alam yang dialami membuat keluarga kehilangan rumah, harta benda bahkan anggota keluarga yang sangat dikasihi. Pengalaman yang sangat menyakitkan ini adalah bagian dari kehidupan yang harus dijalani pasca bencana alam. Tujuan dari penelitian ini adalah untuk menguraikan pengalaman keluarga menghadapi bencana alam di kampung Lebo. Metode: penelitian ini menggunakan metode penelitian kualitatif fenomenologi dengan teknik wawancara mendalam kepada 6 keluarga yang terdampak bencana alam di Kampung Lebo Kecamatan Manganitu. Analisis data yang digunakan mengacu pada tujuh langkah teknik analisis data collaizi. Hasil: Penelitian ini menunjukkan keluarga merasakan dampak trauma pasca bencana alam sehingga ditemukan tujuh tema besar yaitu 1) Tanda awal bencana, 2) Respon terhadap banjir, 3) Beban psikologi 4) Jenis dukungan, 5) Beban ekonomi, 6) Makna setelah terjadi bencana, 7) Harapan untuk Lebo. Tujuh tema tersebut saling berhubungan satu dengan yang lain dan merupakan pengalaman hidup partisipan menghadapi pasca trauma bencana alam. Kesimpulan:  Akibat dari kejadian ini menyebabkan keluarga mengalami beban psikologi karena kehilangan barang berharga. Meskipun sulit menerima kenyataan harus kehilangan yang orang yang dikasihi serta benda berharga tetapi dukungan yang selalu datang dari berbagai pihak sehingga keluarga mengurangi beban yang dialami. Dengan kejadian ini keluarga mengalami perubahan ekonomi dalam memenuhi kebutuhan sehari-hari. Melalui kejadian ini keluarga menyadari bahwa ini kehendak sang pencipta sehingga harapan kedepan bencana alam ini tidak akan terjadi lagi di kampung.   Disasters cannot be separated from anyone if the power has the will of it, it will definitely happen, and families who experience the impact of this natural disaster must be able to accept it. The natural disasters experienced have made families lose their homes, property and even loved family members. This painful experience is a part of life that must be lived after a natural disaster. The purpose of this study is to describe the experiences of families facing natural disasters in Lebo village. Methods: This study used a phenomenological qualitative research method with in-depth interviews with 6 (six) families affected by natural disasters in Lebo Village, Manganitu District. The data analysis used refers to the seven steps of the Collaizi data analysis technique. Results: Those study showed that families feel the impact of trauma after natural disasters so that seven major themes were found, 1) Early signs of disaster, 2) Response to flood, 3) Psychological burden 4) Types of support, 5) Economic burden, 6) Meaning after a disaster, 7) Hope for Lebo. The seven themes were interconnected with one another and represent the life experiences of the participant in dealing with natural disasters. Conclusion: The consequences of those incident caused the family to experience a psychological burden due to the loss of valuables. Even though it was difficult to accept the fact that you were lose loved ones and valuable objects, support always come from all people so that the family could reduces the burden experienced. With this incident the family experienced economic changes in meeting their daily needs. Through those incident the family realized those was the creator's will so that in the future this natural disaster would not happen again in the Lebo village.

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