scholarly journals Predicting the Texas Windstorm Insurance Association claim payout of commercial buildings from Hurricane Ike

2013 ◽  
Vol 1 (4) ◽  
pp. 3813-3855
Author(s):  
J. M. Kim ◽  
P. K. Woods ◽  
Y. J. Park ◽  
K. Son
Keyword(s):  
Public Awareness ◽  
Insurance Companies ◽  
Economic Losses ◽  
Economic Damage ◽  
Linear Regression Method ◽  
Vulnerability Factors ◽  
Hurricane Damage ◽  
Vulnerability Indicators ◽  
Insured Loss ◽  
The Relationship

Abstract. Following growing public awareness of the danger from hurricanes and tremendous demands for analysis of loss, many researchers have conducted studies to develop hurricane damage analysis methods. Although researchers have identified the significant indicators, there currently is no comprehensive research for identifying the relationship among the vulnerabilities, natural disasters, and economic losses associated with individual buildings. To address this lack of research, this study will identify vulnerabilities and hurricane indicators, develop metrics to measure the influence of economic losses from hurricanes, and visualize the spatial distribution of vulnerability to evaluate overall hurricane damage. This paper has utilized the Geographic Information System to facilitate collecting and managing data, and has combined vulnerability factors to assess the financial losses suffered by Texas coastal counties. A multiple linear regression method has been applied to develop hurricane economic damage predicting models. To reflect the pecuniary loss, insured loss payment was used as the dependent variable to predict the actual financial damage. Geographical vulnerability indicators, built environment vulnerability indicators, and hurricane indicators were all used as independent variables. Accordingly, the models and findings may possibly provide vital references for government agencies, emergency planners, and insurance companies hoping to predict hurricane damage.

scholarly journals Predicting the hurricane damage ratio of commercial buildings by claim payout from Hurricane Ike

2013 ◽  
Vol 1 (4) ◽  
pp. 3449-3483
Author(s):  
J. M. Kim ◽  
P. K. Woods ◽  
Y. J. Park ◽  
T. H. Kim ◽  
J. S. Choi ◽  
...  
Keyword(s):  
Natural Disaster ◽  
Spatial Data ◽  
Geographical Information ◽  
Insurance Companies ◽  
Economic Losses ◽  
Linear Regression Method ◽  
Financial Loss ◽  
Hurricane Damage ◽  
Vulnerability Indicators ◽  
The Individual

Abstract. The increasing occurrence of natural disaster events and related damages have led to a growing demand for models that predict financial loss. Although considerable research has studied the financial losses related to natural disaster events, and has found significant predictors, there has not yet been a comprehensive study that addresses the relationship among the vulnerabilities, natural disasters, and economic losses of the individual buildings. This study identified hurricanes and their vulnerability indicators in order to establish a metric to predict the related financial loss. We identify hurricane-prone areas by imaging the spatial distribution of the losses and vulnerabilities. This study utilized a Geographical Information System (GIS) to combine and produce spatial data, as well as a multiple linear regression method, to establish a hurricane damage prediction model. As the dependent variable, we utilized the following ratio to predict the real pecuniary loss: the value of the Texas Windstorm Insurance Association (TWIA) claim payout divided by the appraised values of the buildings. As independent variables, we selected the hurricane indicators and vulnerability indicators of the built environment and the geographical features. The developed statistical model and results can be used as important guidelines by insurance companies, government agencies, and emergency planners for predicting hurricane damage.

scholarly journals Are Tourists Willing to Pay for Mitigation of Abrasion? A study on Coastal Areas in Yogyakarta, Indonesia

2017 ◽  
Vol 5 (2) ◽  
pp. 46-51
Author(s):  
Evi Gravitiani ◽  
Mugi Rahardjo ◽  
Norma Sagita Pratiwi
Keyword(s):  
Climate Change ◽  
Willingness To Pay ◽  
Public Awareness ◽  
Linear Regression Method ◽  
Sea Levels ◽  
Determinant Factors ◽  
Multiple Linear Regression Method ◽  
Vulnerability To Climate Change ◽  
Rising Sea Levels ◽  
The Relationship

Objective - Climate change has an impact on not only environmental problems, but also on socio-economic communities. Indonesia as an archipelago country has the second longest coastline after Canada. Indonesia has a high vulnerability to climate change, especially rising sea levels which can cause abrasion. Public awareness is needed to preserve the coastal area, to prevent potential disasters that may occur. Consequently, it is important to analyze the determinant factors of tourist's willingness to pay ('WTP') for mitigation of abrasion and how much it would cost. This study also estimates how the relationship between a tourist's WTP and abrasion on coasts in Yogyakarta. Methodology/Technique - A multiple linear regression method is used to estimate the determinant factors of a tourist's WTP. The location of this study is on Kuwaru Beach and Pandansimo Beach in Bantul Regency, which have several indicators of the possibility of abrasions. Two hundred respondents were interviewed regarding the influence of socio-economy and other factors to tourist's WTP. Findings - That result is equivalent with the level of abrasion for each beach.Variables of education and income have significant effectson tourist' WTP at Kuwaru Beach. While in Pandansimo Beach, age and education have significant effect on WTP. The average tourist's WTP for mitigation in Kuwaru beach and Pandansimo beach at Yogyakarta are Rp 81,150.00 and Rp 62,250.00. Novelty - Mitigation on abrasion calls for community awareness amongstlocal citizens, tourists, and people who conduct business along the beach. For the two beaches studied, the variables used – sex ratio, age, education and income – have a significant effect on a tourists' willingness to pay for abrasion mitigation. Type of Paper - Empirical Keywords: Coastal Abrasion; Mitigation; Tourist; Willingness to Pay; Indonesia.

Future economic damage from tropical cyclones: sensitivities to societal and climate changes

2007 ◽  
Vol 365 (1860) ◽  
pp. 2717-2729 ◽  
Author(s):  
Roger A Pielke
Keyword(s):  
Climate Change ◽  
Tropical Cyclones ◽  
Climate Adaptation ◽  
Economic Losses ◽  
Economic Damage ◽  
Climate Mitigation ◽  
Energy Policies ◽  
Change Climate ◽  
Relationship Of ◽  
The Relationship

This paper examines future economic damages from tropical cyclones under a range of assumptions about societal change, climate change and the relationship of climate change to damage in 2050. It finds in all cases that efforts to reduce vulnerability to losses, often called climate adaptation, have far greater potential effectiveness to reduce damage related to tropical cyclones than efforts to modulate the behaviour of storms through greenhouse gas emissions reduction policies, typically called climate mitigation and achieved through energy policies. The paper urges caution in using economic losses of tropical cyclones as justification for action on energy policies when far more potentially effective options are available.

scholarly journals Measuring Vulnerability of Typhoon in Residential Facilities: Focusing on Typhoon Maemi in South Korea

2019 ◽  
Vol 11 (10) ◽  
pp. 2768 ◽  
Author(s):  
Ji-Myong Kim ◽  
Taehui Kim ◽  
Kiyoung Son ◽  
Sang-Guk Yum ◽  
Sungjin Ahn
Keyword(s):  
South Korea ◽  
Residential Buildings ◽  
Risk Estimation ◽  
Damage Function ◽  
Risk Indicators ◽  
Insurance Companies ◽  
Economic Losses ◽  
Economic Damage ◽  
Insurance Company ◽  
The Real

Typhoons cause severe monetary damage globally. Many global insurance companies and public agencies are currently developing and utilizing windstorm risk estimation models to calculate the level of risk and set up strategies for avoiding, mitigating, and relocating those economic risks. Hence, the usage and accuracy of the windstorm risk estimation model is becoming increasingly significant, and reflecting local vulnerabilities is essential for refined risk assessment. While key risk indicators have been recognized in practical studies of economic losses associated with windstorms, there remains a lack of comprehensive research addressing the relationship between economic losses of residential buildings for South Korea and vulnerability. This research investigates the real damage record of Typhoon Maemi from an insurance company in order to bridge this gap. The aim of this study is to define the damage indicators of typhoons and create a framework for typhoon damage function, using the damage caused by Typhoon Maemi as a representative paradigm. Basic building information and natural disaster indicators are adopted to develop the damage function. The results and metric of this research provide a pragmatic approach that helps create damage functions for insurance companies and contingency planners, reflecting the actual financial losses and local vulnerabilities of buildings. The framework and results of this study will provide a practical way to manage extreme cases of natural disasters, develop a damage function for insurers and public authorities, and reveal the real economic damage and local vulnerability of residential buildings in South Korea.

SUBROGATION IN INSURANCE CONTRACT

2018 ◽  
Vol 28 (6) ◽  
pp. 1985-1991
Author(s):  
Tatjana Dimov
Keyword(s):  
Insurance Contract ◽  
Insurance Companies ◽  
Property Insurance ◽  
Insured Person ◽  
Legal Position ◽  
Insured Loss ◽  
Injured Party ◽  
The Right ◽  
Insurance Agreement ◽  
Responsible Person

Subrogation is a legal right characteristically reserved by property insurers. Subrogation occurs in property insurance and in some particular cases of liability insurance. The doctrine of subrogation operates to ensure protection of certain specific principles relevant to the property insurance including the principle of indemnification whereby the compensation received is no more and no less than a full indemnity for the insured loss or damage suffered by the insured due to loss occurrence, the principle of non-cumulation in terms of claims under the same insurance contract and the principle which excludes claiming indemnity from the person who is legally responsible for causing the loss, because otherwise the insurance contract may be an unjustified source of profit for the insured as the insured would get double recovery or paid out twice for the same claim.With the payment of the reimbursement from an insurance agreement on the insurer, all rights that the insured has towards the persons responsible for the damage up to the amount of the paid compensation are transferred. With the subrogation, the insurer takes up the legal position of the insured person and exercises his right to subrogation from the rights of the insured (derivative acquisition of the right), so that the insurer exceeds the claims in scope and amount as the insured had towards the perpetrator.Subrogation is the right of the insurer, it is not his obligation. The insurer is not obliged to use this right to transfer the rights to the responsible person.The notion of subrogation is often associated with the concept of insurance regression. But there is a difference between these two terms: recourse is the right of the insurer to claim the amount of compensation that he has paid to the insured (injured parties) from the harmful person, while subrogation is the transfer of the right (the claim for damages to the responsible person) from the insured to the insurer up to the amount of the compensation paid on the basis of an insurance contract. The right to recourse is a consequence of the existence of subrogation, i.e. transfer of the rights of the insured person to the responsible person, and which is reached by the law itself.Тhe subrogation doctrine also operates to ensure that the defendant or the person who is legally responsible for the loss shall not be absolved of liability under the civil law. Namely, the perpetrator should bear the consequences of his liability for the caused damage, and therefore the legislator of the insurer (as one of the contractual parties in insurance contract) has recognized the right what he has paid the injured party (as the contractual party in the insurance contract called the insured) to calm from the perpetrator.Furthermore, subrogation doctrine operates to ensure profit for the insurance companies whereby the reimbursement funds the claims or sum insured are covered from additionally grow; therefore, this doctrine is of great importance to the insurers.

PENGARUH PROGRAM PENGEMBANGAN KARIR TERHADAP KINERJA KARYAWAN

2018 ◽  
Vol 14 (1) ◽  
pp. 55-63
Author(s):  
Rizska Julianita
Keyword(s):  
Career Development ◽  
Sampling Method ◽  
Employee Performance ◽  
Hypothesis Test ◽  
Development Program ◽  
T Test ◽  
Linear Regression Method ◽  
Performance Variables ◽  
Career Development Program ◽  
The Relationship

This research is intended to find out how the influence of Career Development on Employee Performance PT Bumi Andalas Permai (BAP) Palembang. In this case the sampling using the Saturated sampling method with the employee population of PT BAP Palembang as many as 78 people. From the results of the questionnaire, processed by using SPSS for Windows version 19 by using simple linear regression method, hypothesis test (t test), and correlation coefficient.Based on the analysis results obtained coefficient (R) of 0.033 which shows the relationship between the two low variables. In the hypothesis test (t test) obtained t count value of -0.285 and t value table 1.991, and significant value 0.777. And when viewed from the probability (sig), career development has a probability value of 0.777. It has also been explained that 0.777> 0.05, then H1 is rejected and H0 is accepted, indicating there is no effect of career development on employee performance. The effect of career development on employee performance can be seen also from the value of regression coefficient (R) 0,001, which shows that the percentage contribution of career development influence to employee performance equal to 0,1%. Can also be interpreted that the variation of career development variables used to explain 0.1% variation of performance variables. The conclusion : career development program does not effect employee performance on PT BAP Palembang.

THE MAIN DIRECTIONS OF ECONOMIC SUPPORT OF THE REGIONAL SECURITY SYSTEM OF THE POPULATION

2020 ◽  
Vol 1 (11) ◽  
pp. 133-140
Author(s):  
E. V. DMITRIEVA ◽  
Keyword(s):  
Crisis Management ◽  
Security System ◽  
Regional Security ◽  
Economic Losses ◽  
Economic Damage ◽  
Economic Activities ◽  
The Sustainable Development ◽  
Economic Support ◽  
The Impact ◽  
Crisis Situations

The article considers topical issues of economic support for the development of the regional security system of the population against various risks. The dependence of the impact of the scale of crisis situations on economic activities in the constituent entities of the Russian Federation, which become a serious barrier to the sustainable development of the regions of the country, was investigated. The increasing importance of risks of economic losses from accidents and disasters at potentially dangerous facilities as a result of the complex influence of natural, manmade and fire factors has been established. An analysis was carried out and proposals were developed to implement the key tasks of the state in the field of ensuring the protection of the population and territories of the country from disasters in order to ensure the stability of the economy. The organizational structure, division of tasks and functions between officials, crisis management structures and responding units were analyzed, taking into account the reduction in current financial costs. On the basis of a study of the peculiarities of the regions of the country, recommendations were formed to fulfill the necessary tasks by the anti-crisis management bodies in the field of reducing economic damage on the basis of preventing crisis situations and ensuring fire safety. It is proposed to organize the practical application of a complex automated security system based on modern developments with the application of improving the qualities and efficiency of anti-crisis management processes in order to increase economic efficiency. Initial data were formed to reduce potential threats of a natural, man-made, fire and other nature in the regions using financial and economic mechanisms. It is proposed to implement a set of priority measures to further improve and increase the potential of economic support for the anti-crisis management system. The materials of the article can be used in planning the main directions of the development of the regional population security system and the implementation of socio-economic development programs.

scholarly journals Harnessing Machine Learning for Classifying Economic Damage Trends in Transportation Infrastructure Projects

2021 ◽  
Vol 13 (11) ◽  
pp. 6376
Author(s):  
Junseo Bae ◽  
Sang-Guk Yum ◽  
Ji-Myong Kim
Keyword(s):  
Machine Learning ◽  
Financial Management ◽  
Construction Projects ◽  
Transportation Infrastructure ◽  
Classification Model ◽  
Insurance Companies ◽  
Economic Damage ◽  
Infrastructure Projects ◽  
Machine Learning Classification ◽  
Financial Losses

Given the highly visible nature, transportation infrastructure construction projects are often exposed to numerous unexpected events, compared to other types of construction projects. Despite the importance of predicting financial losses caused by risk, it is still difficult to determine which risk factors are generally critical and when these risks tend to occur, without benchmarkable references. Most of existing methods are prediction-focused, project type-specific, while ignoring the timing aspect of risk. This study filled these knowledge gaps by developing a neural network-driven machine-learning classification model that can categorize causes of financial losses depending on insurance claim payout proportions and risk occurrence timing, drawing on 625 transportation infrastructure construction projects including bridges, roads, and tunnels. The developed network model showed acceptable classification accuracy of 74.1%, 69.4%, and 71.8% in training, cross-validation, and test sets, respectively. This study is the first of its kind by providing benchmarkable classification references of economic damage trends in transportation infrastructure projects. The proposed holistic approach will help construction practitioners consider the uncertainty of project management and the potential impact of natural hazards proactively, with the risk occurrence timing trends. This study will also assist insurance companies with developing sustainable financial management plans for transportation infrastructure projects.

scholarly journals Comparative Transcriptomic Analysis of Riptortus pedestris (Hemiptera: Alydidae) to Characterize Wing Formation across All Developmental Stages

Insects ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 226
Author(s):  
Siying Fu ◽  
Yujie Duan ◽  
Siqi Wang ◽  
Yipeng Ren ◽  
Wenjun Bu
Keyword(s):  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Average Length ◽  
Transcriptome Assembly ◽  
Expression Profiles ◽  
Economic Losses ◽  
Future Research ◽  
Economic Damage ◽  
Wing Formation ◽  
Riptortus Pedestris

Riptortus pedestris (Hemiptera: Alydidae) is a major agricultural pest in East Asia that causes considerable economic losses to the soybean crop each year. However, the molecular mechanisms governing the growth and development of R. pedestris have not been fully elucidated. In this study, the Illumina HiSeq6000 platform was employed to perform de novo transcriptome assembly and determine the gene expression profiles of this species across all developmental stages, including eggs, first-, second-, third-, fourth-, and fifth-instar nymphs, and adults. In this study, a total of 60,058 unigenes were assembled from numerous raw reads, exhibiting an N50 length of 2126 bp and an average length of 1199 bp, and the unigenes were annotated and classified with various databases, such as the Kyoto Encyclopedia of Genes and Genomes (KEGG), Clusters of Orthologous Groups (COG), and Gene Ontology (GO). Furthermore, various numbers of differentially expressed genes (DEGs) were calculated through pairwise comparisons of all life stages, and some of these DEGs were associated with immunity, metabolism, and development by GO and KEGG enrichment. In addition, 35,158 simple sequence repeats (SSRs) and 715,604 potential single nucleotide polymorphisms (SNPs) were identified from the seven transcriptome libraries of R. pedestris. Finally, we identified and summarized ten wing formation-related signaling pathways, and the molecular properties and expression levels of five wing development-related genes were analyzed using quantitative real-time PCR for all developmental stages of R. pedestris. Taken together, the results of this study may establish a foundation for future research investigating developmental processes and wing formation in hemimetabolous insects and may provide valuable data for pest control efforts attempting to reduce the economic damage caused by this pest.

The Effect of Instagram Influencers on Purchase Intentions Mediated by Brand Image on Cosmetic Products (Study on Gen Z Women)

2021 ◽  
Vol 4 (2) ◽  
pp. 111-123
Author(s):  
Dewi Tamara ◽  
Lidiya Heriyati ◽  
Tsabita Hanifa ◽  
Michelle Carmen
Keyword(s):  
Social Media ◽  
Purchase Intention ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Brand Image ◽  
Public Awareness ◽  
Daily Basis ◽  
Purchase Intentions ◽  
Generation Z ◽  
The Relationship

Rise of internet usage gives a sense of urgency for marketer to develop enchanted promotion methods through the help of social media. This research focuses on analyze the correlation between social media influencer and purchase intention with brand image as mediating variables. Object of this research is Generation Z women since their perspectives are rarely elaborated in previous research. Sample of this research is Generation Z women, actively using make-ups and skincare, and use Instagram in their daily basis. Validity is measured through convergent validity and discriminant validity, while reliability is measured through cronbach’s alpha and composite reliability. Hypotheses are measured using PLS-SEM and considered as significant if t-value > t-table. Results indicate that social media influencer significantly correlated with purchase intention when mediated with brand image. Specifically, numbers of followers, high-activity on social media, and influencer credibility influence brand image and purchase intention in significant ways. Moreover, positive brand image, public awareness, and brand uniqueness determined as mediating factors on the relationship social media influencer and purchase intention.  

Sign in / Sign up

Export Citation Format

Share Document