scholarly journals EQC and Extreme Weather Events (Part 2): Measuring the Impact of Insurance on New Zealand Landslip, Storm and Flood Recovery Using Nightlights

2020 ◽  
Author(s):  
Sally Owen ◽  
Ilan Noy ◽  
Jacob Pástor-Paz ◽  
David Fleming
Keyword(s):  
New Zealand ◽  
Extreme Rainfall ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Night Time ◽  
Community Recovery ◽  
Weather Events ◽  
Using Data ◽  
The Impact ◽  
Stated Purpose

Climate change is predicted to make extreme weather events worse and more frequent in many places around the world. In New Zealand, the Earthquake Commission (EQC) was created to provide insurance for earthquakes. In some circumstances, however, homeowners affected by extreme weather events can also make claims to the EQC – for landslip, storm or flood events. In this paper, we explore the impact of this public natural hazard insurance on community recovery from weather-related events. We do this by using a proxy for short-term economic recovery: satellite imagery of average monthly night-time radiance. Linking these night-time light data to precipitation data records, we compare houses which experienced damage from extreme rainfall episodes to those that suffered no damage even though they experienced extreme rainfall. Using data from three recent intense storms, we find that households which experienced damage, and were paid in a timely manner by EQC, did not fare any worse than households that suffered no damage from these extreme events. This finding suggests that EQC insurance is serving its stated purpose by protecting households from the adverse impact of extreme weather events.

scholarly journals EQC and Extreme Weather Events (Part 2): Measuring the Impact of Insurance on New Zealand Landslip, Storm and Flood Recovery Using Nightlights

2020 ◽  
Author(s):  
Sally Owen ◽  
Ilan Noy ◽  
Jacob Pástor-Paz ◽  
David Fleming
Keyword(s):  
New Zealand ◽  
Extreme Rainfall ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Night Time ◽  
Community Recovery ◽  
Weather Events ◽  
Using Data ◽  
The Impact ◽  
Stated Purpose

Climate change is predicted to make extreme weather events worse and more frequent in many places around the world. In New Zealand, the Earthquake Commission (EQC) was created to provide insurance for earthquakes. In some circumstances, however, homeowners affected by extreme weather events can also make claims to the EQC – for landslip, storm or flood events. In this paper, we explore the impact of this public natural hazard insurance on community recovery from weather-related events. We do this by using a proxy for short-term economic recovery: satellite imagery of average monthly night-time radiance. Linking these night-time light data to precipitation data records, we compare houses which experienced damage from extreme rainfall episodes to those that suffered no damage even though they experienced extreme rainfall. Using data from three recent intense storms, we find that households which experienced damage, and were paid in a timely manner by EQC, did not fare any worse than households that suffered no damage from these extreme events. This finding suggests that EQC insurance is serving its stated purpose by protecting households from the adverse impact of extreme weather events.

Measuring the Impact of Insurance on Recovery after Extreme Weather Events Using Nightlights

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sally Owen ◽  
Ilan Noy ◽  
Jacob Pástor-Paz ◽  
David Fleming
Keyword(s):  
Extreme Rainfall ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Property Damage ◽  
Night Time ◽  
Extreme Precipitation Events ◽  
Weather Events ◽  
Using Data ◽  
The Impact ◽  
Precipitation Events

Abstract Climate change is predicted to make extreme weather events worse and more frequent in many places around the world. In New Zealand, the Earthquake Commission (EQC) was created to provide insurance for earthquakes. In some circumstances, however, homeowners affected by extreme weather events can also make claims to the EQC – for landslip, storm or flood events. In this paper, we explore the impact of this public natural hazard insurance on recovery from weather-related events. We do this by using a proxy for short-term economic recovery: satellite imagery of average monthly night-time radiance. Linking these night-time light data to precipitation data records, we compare areas which experienced damage from extreme rainfall episodes to those that suffered no damage even though they experienced extreme rainfall. Using data from three recent intense storms, we find that areas that experienced property damage, and were paid in a timely manner by EQC, did not fare any worse than areas that suffered no property damage but were exposed to these extreme precipitation events. This finding suggests that EQC insurance is serving its stated purpose by protecting claimants from the adverse impact of extreme weather events.

Does extreme rainfall lead to heavy losses in the food industry?

2019 ◽  
Vol 32 (2) ◽  
pp. 244-266
Author(s):  
Edimilson Costa Lucas ◽  
Wesley Mendes-Da-Silva ◽  
Gustavo Silva Araujo
Keyword(s):  
Stock Returns ◽  
Food Production ◽  
Food Industry ◽  
Extreme Rainfall ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Extreme Rainfall Events ◽  
Content Type ◽  
Weather Events ◽  
The Impact

Purpose Managing the risks associated to world food production is an important challenge for governments. A range of factors, among them extreme weather events, has threatened food production in recent years. The purpose of this paper is to analyse the impact of extreme rainfall events on the food industry in Brazil, a prominent player in this industry. Design/methodology/approach The authors use the AR-GARCH-GPD hybrid methodology to identify whether extreme rainfall affects the stock price of food companies. To do so, the authors collected the daily closing price of the 16 food industry companies listed on the Brazilian stock exchange (B3), in January 2015. Findings The results indicate that these events have a significant impact on stock returns: on more than half of the days immediately following the heavy rain that fell between 28 February 2005 and 30 December 2014, returns were significantly low, leading to average daily losses of 1.97 per cent. These results point to the relevance of the need for instruments to hedge against weather risk, particularly in the food industry. Originality/value Given that extreme weather events have been occurring more and more frequently, financial literature has documented attempts at assessing the economic impacts of weather changes. There is little research, however, into assessing the impacts of these events at corporate level.

scholarly journals Extreme Weather Impacts on Inland Waterways Transport of Yangtze River

Atmosphere ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 133 ◽  
Author(s):  
Lijun Liu ◽  
Yuanqiao Wen ◽  
Youjia Liang ◽  
Fan Zhang ◽  
Tiantian Yang
Keyword(s):  
Heat Wave ◽  
Yangtze River ◽  
Heat Waves ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
The Yangtze River ◽  
Climate Zone ◽  
Inland Waterways ◽  
Weather Events ◽  
The Impact

The impact of extreme weather events on the navigation environment in the inland waterways of the Yangtze River is an interdisciplinary hotspot in subjects of maritime traffic safety and maritime meteorology, and it is also a difficult point for the implementation of decision-making and management by maritime and meteorological departments in China. The objective of this study is to review the variation trends and distribution patterns in the periods of adverse and extreme weather events that are expected to impact on inland waterways transport (IWT) on the Yangtze River. The frequency of severe weather events, together with the changes in their spatial extension and intensity, is analyzed based on the ERA-Interim datasets (1979–2017) and the GHCNDEX dataset (1979–2017), as well as the research progresses and important events (2004–2016) affecting the navigation environment. The impacts of extreme weather events on IWT accidents and phenomena of extreme weather (e.g., thunderstorms, lightning, hail, and tornadoes) that affect the navigation environment are also analyzed and discussed. The results show that: (1) the sections located in the plain climate zone is affected by extreme weather in every season, especially strong winds and heat waves; (2) the sections located in the hilly mountain climate zone is affected particularly by spring extreme phenomena, especially heat waves; (3) the sections located in the Sichuan Basin climate zone is dominated by the extreme weather phenomena in autumn, except cold waves; (4) the occurrence frequency of potential flood risk events is relatively high under rainstorm conditions and wind gusts almost affect the navigation environment of the Jiangsu and Shanghai sections in every year; (5) the heat wave indices (TXx, TR, and WSDI) tend to increase and the temperature of the coldest day of the year gradually increases; (6) the high occurrences of IWT accidents need to be emphasized by relevant departments, caused by extreme weather during the dry season; and (7) the trends and the degree of attention of extreme weather events affecting IWT are ranked as: heat wave > heavy rainfall > wind gust > cold spell > storm. Understanding the seasonal and annual frequency of occurrence of extreme weather events has reference significance for regional management of the Yangtze River.

On the Landslide Hazard with the Impact of Climate Change in Central Taiwan

2020 ◽  
Author(s):  
Keh-Jian Shou
Keyword(s):  
Climate Change ◽  
General Circulation ◽  
Extreme Weather ◽  
Tectonic Activity ◽  
Extreme Weather Events ◽  
Weather Events ◽  
The Future ◽  
Central Taiwan ◽  
The Impact ◽  
Taiwan Area

<p>Due to active tectonic activity, the rock formations are young and highly fractured in Taiwan area. The dynamic changing of river morphology makes the highly weathered formations or colluviums prone to landslide and debris flow. For the past decade, the effect of climate change is significant and creates more and more extreme weather events. The change of rainfall behavior significantly changes the landslide behavior, which makes the large-scale landslides, like the Shiaolin landslide, possible. Therefore, it is necessary to develop the new technologies for landslide investigation, monitoring, analysis, early warning, etc.</p><p>Since the landslide hazards in Taiwan area are mainly induced by heavy rainfall, due to climate change and the subsequent extreme weather events, the probability of landslides is also increased. Focusing on the upstreams of the watersheds in Central Taiwan, this project studied the behavior and hazard of shallow and deep-seated landslides. Different types of susceptibility models in different catchment scales were tested, in which the control factors were analyzed and discussed. This study also employs rainfall frequency analysis together with the atmospheric general circulation model (AGCM) downscaling estimation to predict the extreme rainfalls in the future. Such that the future hazard of the shallow and deep-seated landslide in the study area can be predicted. The results of predictive analysis can be applied for risk prevention and management in the study area.</p>

The Impact of Disasters on Japan’s Inbound Tourism Demand

2014 ◽  
Vol 9 (sp) ◽  
pp. 699-708 ◽  
Author(s):  
Lihui Wu ◽  
◽  
Haruo Hayashi ◽  
Keyword(s):  
Large Scale ◽  
Moving Average ◽  
Geographical Location ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Tourism Demand ◽  
Intervention Models ◽  
Weather Events ◽  
Inbound Tourism ◽  
The Impact

The purpose of this study is to explore the impact of disasters on international tourism demand for Japan by applying Autoregressive Integrated Moving Average (ARIMA) intervention models that focus on evaluating change patterns and the duration of effects by observing variations in parameters. Japan suffered a variety of disasters, especially natural disasters due to its geographical location, so we have divided these disasters into three types: geological disasters, extreme weather events and “others” such as terrorist attacks, infectious diseases, and economic crises. Based on the principle of preparing for the worst, we selected 4 cases for each disaster type, for 12 in all. Results suggest that (1) large-scale disasters such as great earthquakes impacted negatively on inbound tourism demand for Japan; (2) not all disasters resulted in an abrupt drop in inbound tourist arrivals, extreme weather events, for example, did not decrease inbound tourism demand significantly; (3) impact caused by disasters was temporary.

Extreme weather events (EWE): the impact on health in Italy.

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Paola Michelozzi* ◽  
Manuela De Sario ◽  
Francesca de'Donato
Keyword(s):  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events ◽  
The Impact
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