Household measures for river flood risk reduction in the <scp>C</scp>zech <scp>R</scp>epublic

Duží, Barbora; Vikhrov, Dmytro; Kelman, Ilan; Stojanov, Robert; Juřička, David

doi:10.1111/jfr3.12132

Cited by 50 publications

(65 citation statements)

References 47 publications

(80 reference statements)

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“…9 FEMA's official stance is that "no home is completely safe from potential flooding devastation" (https://www.fema.gov/ national-flood-insurance-program) and designates zones as low risk but not as no risk. This is also true in other nations (e.g., Duží et al 2017). 10 This is unlikely true in the long run in light of climate change.…”

Section: Modelmentioning

confidence: 98%

Flood Risk and Salience: New Evidence from the Sunshine State

Bakkensen¹,

Ding

2019

Southern Economic Journal

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A growing literature finds evidence that flood risk salience varies over time, spiking directly following a flood and then falling off individuals' cognitive radar in the following years. In this article, we provide new evidence of salience exploiting a hurricane cluster impacting Florida that was preceded and followed by periods of unusual calm. Utilizing residential property sales across the state from 2002 through 2012, our main estimate finds a salience impact of −8%, on average. The salience effect persists when we base estimation only on spatial variation in prices to limit confounding from other simultaneous changes due to shifting hedonic equilibria over time. These effects range from housing prices decreases of 5.4–12.3% depending on the year of sale. Understanding flood risk salience has important implications for flood insurance and disaster policy, the benefits transfer literature, and, more broadly, our understanding of natural disaster resilience. JEL Classification: Q51, Q54, R21

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Section: Modelmentioning

confidence: 98%

Flood Risk and Salience: New Evidence from the Sunshine State

Bakkensen¹,

Ding

2019

Southern Economic Journal

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“…In the CR, there are few studies complementing the collected flood expenditure data with microeconomic evidence. Duzi et al (2014) revealed that Czech households that experience increasing flood damages did not implement more self-protection. Furthermore, Raška and Brázdil (2015), p. 13) conclude their historical examination of riskreduction measures in Bohemia as follows: '…[M]otivation to adopt private mitigation measures in the postcommunist countries is low because of the centralisation and institutionalisation of the risk reduction strategies during the communist period'.…”

Section: Discussion Of Data Availability For Indication Of the Crowdimentioning

confidence: 99%

Effects of government flood expenditures: the problem of crowding‐out

Slavíková

2016

J Flood Risk Management

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Large inland floods represent a serious threat to the Central European territory. It is therefore necessary to develop efficient flood‐risk management based on shared responsibility, stressing the importance of the self‐engagement of local actors (such as municipalities, household, etc.). Central government flood expenditures are an influential factor that shapes their motivation and expectations. In this context, the article investigates the relevance of the concept of crowding out. In particular, it search for the reflection of the concept in the flood governance literature. A thorough review of Web of Science sources in the past 20 years has been undertaken in this matter. Furthermore, the intention is to discuss the problem of data availability (especially regarding flood expenditures of central governments) for assessing the crowding‐out effect on a macroeconomic basis. The Czech central government's activity after the disastrous floods of 1997 and 2002 is used as a case study.

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“…European floods in 2013 and Central European floods events in 1997, 2002(Socher and Böhme-Korn, 2008Vávra et al, 2015). The Czech Republic experienced numerous knowledgeable floods in 1997, 1998, 2002, 2006(Vávra et al, 2015Duží et al, 2017). Extreme flood events can affect naturally occurring fish species in rivers (Horwitz, 1978;Poff and Allan, 1995;Gordon et al, 2004), as well as overall fish stocks and cause considerable losses of fish populations in ponds.…”

Section: Introductionmentioning

confidence: 99%

Fish stock losses due to extreme floods – findings from pond‐based aquaculture in the Czech Republic

Rutkayová

Vácha

Maršálek

et al. 2017

J Flood Risk Management

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Global climate changes exhibit increasingly severe weather effects throughout Europe, which can affect agriculture by extreme flood events. Those events are related to pond‐based aquaculture damages, which lead to losses of fish stock. The objective was to examine the loss of fish in pond‐based aquaculture during extreme floods in 2002, 2006, 2009, and 2013 in the Czech Republic. The total assessed loss of fish in pond aquacultures caused by recent extreme flood events was 54.2%. The most numerous losses of fish were not achieved in 2002 of extreme events in contrast to logical assumption. Based on the statistical evaluation, carp is significantly (P < 0.001) less vulnerable (or susceptible to losses) than tench, grass carp, pike, and perch. The study revealed differences between the reactions of diverse fish species to flooding and different susceptibilities to flooding within groups of juvenile and adult fish when considering fish species and their age category. This study summarizes the knowledge about the losses of fish stock in pond‐based aquaculture and exposes pilot findings about the species sensitivity and loss rate during flood events. The outcomes also evaluate flood impacts on different aquaculture companies at the same time, and help them to deal with flood risk management.

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Household measures for river flood risk reduction in the Czech Republic

Cited by 50 publications

References 47 publications

Flood Risk and Salience: New Evidence from the Sunshine State

Flood Risk and Salience: New Evidence from the Sunshine State

Effects of government flood expenditures: the problem of crowding‐out

Fish stock losses due to extreme floods – findings from pond‐based aquaculture in the Czech Republic

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