scholarly journals The Price of Coastal Erosion and Flood Risk: A Hedonic Pricing Approach

Oceans ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 149-161
Author(s):  
Serkan Catma
Keyword(s):  
South Carolina ◽  
Flood Risk ◽  
Coastal Erosion ◽  
Negative Impact ◽  
Hedonic Pricing ◽  
Beach Erosion ◽  
Property Value ◽  
Negative Impacts ◽  
High Flood ◽  
Hilton Head Island

Accelerated coastal erosion and elevated risks of flooding due to global warming put enormous burden on the ecosystems and economic health of coastal communities. Optimal policies to lessen these negative impacts require an estimation of their costs and benefits. The aim of this paper is to calculate the costs of beach erosion and flood risk through the valuation of property prices in Hilton Head Island, a barrier island located in South Carolina, USA. Spatial lag hedonic pricing was introduced in order to account for spatial autocorrelation in the dataset. The results show that properties that are located within the zone of high, or very high, flood risk experience a 15.6% reduction in value. The implicit price of being located close to an eroded beach is approximately 26% of the price of an oceanfront property. However, this negative impact on property value diminishes with distance from the shoreline.

scholarly journals Combining Co$ting Nature and Suitability Modeling to Identify High Flood Risk Areas in Need of Nature-Based Services

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 853
Author(s):  
Sara Prybutok ◽  
Galen Newman ◽  
Kayode Atoba ◽  
Garett Sansom ◽  
Zhihan Tao
Keyword(s):  
Ecosystem Services ◽  
Vulnerability Assessment ◽  
Coastal Area ◽  
Flood Risk ◽  
Implementation Strategies ◽  
Coastal Communities ◽  
Coastal Development ◽  
Risk Areas ◽  
Negative Impacts ◽  
High Flood

Coastal areas are often subject to the severe consequences of flooding from intense storms or hurricanes. Increases in coastal development have amplified both flooding intensity and negative impacts for coastal communities. Reductions in pervious land cover and replacement with impervious ones have reduced the amount of ecosystem services. This research examines the services provided by nature-based solutions by applying outputs from Co$ting Nature models into suitability models to quantify ecosystem services along the Texas Coast. Results show that only around 13% of the Houston-Galveston coastal area has relatively high NBS, and nearly ¼ of the area shows relatively low NBS. The majority of the areas lie in the middle, which, due to increases in development, are at particular risk for becoming areas offering low NBS in the future if not treated. Such vulnerability assessment informs future implementation strategies for NBS in coastal communities to protect people and property from flooding.

South Carolina Coastal Erosion Study, Data Report for Observations, October 2003 - April 2004

2006 ◽  
Author(s):  
Charlene M. Sullivan ◽  
John C. Warner ◽  
Marinna A. Martini ◽  
George Voulgaris ◽  
Paul Work ◽  
...  
Keyword(s):  
South Carolina ◽  
Coastal Erosion ◽  
Study Data

scholarly journals Examining social determinants by locale to inform community linkages

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Davis
Keyword(s):  
Social Determinants ◽  
Low Income ◽  
Negative Impact ◽  
Rank Order ◽  
Disabled Persons ◽  
Behavioral Risk ◽  
Exploratory Research ◽  
Frequency Distributions ◽  
Individual Level ◽  
Negative Impacts

Abstract Achieving a long-lasting impact on health outcomes requires focus not just on patient care, but also on community approaches aimed at improving population health through addressing gaps in Social Determinants of Health (SDOH). SDOH have been found to disproportionately affect those in low-income brackets and the disabled to varying degrees based on locale. The purpose of this exploratory research was to determine 1) which SDOH have the greatest negative impact on disabled and elderly populations within four targeted states (Iowa, Ohio, Minnesota, Wisconsin) and 2) if there is a difference in negative SDOH impact between metro and non-metro locales. Individual-level data were obtained from disabled persons aged 65 years or older who responded to the Centers for Disease Control and Prevention's 2017 Behavioral Risk Factor Surveillance System (BRFSS) survey. Utilizing these data, frequency distributions were obtained using SPSS. Rank order variation in SDOH was observed among four Midwestern states and between metro vs. non-metro geographic regions. Frequency distributions assisted in identifying the greatest negative impacting SDOH on elderly disabled populations. An examination of the rank order tables allowed the investigator to accurately assess the rank of negative impacts. There were variabilities in responses to questions with moving two or more times within 12 months having the lowest negative impact. When regrouped based upon SDOH negative impacts, were you able to pay your bills was the most frequent SDOH across all states. Feeling unsafe or extremely unsafe in your neighborhood was the highest negatively impacted SDOH within states. Cited determinants in three categories were highest in Ohio. Ohio also had the highest proportion of negatively impacted SDOH across all states. No money for balanced meals was a close second SDOH across states. Key messages Social Determinants Impacting Elderly Disabled. Impact of Social Determinants by Geography.

“Caring for the Elderly is Very Difficult”: Challenges and Coping Strategies of Caregivers in Urban Poor Accra, Ghana

2020 ◽  
pp. 105477382098230
Author(s):  
Frank Kyei-Arthur ◽  
Samuel Nii Ardey Codjoe
Keyword(s):  
Coping Strategies ◽  
Family Caregiving ◽  
Urban Poor ◽  
Phenomenological Study ◽  
Negative Impact ◽  
Elderly Care ◽  
The Elderly ◽  
Care Recipients ◽  
Negative Impacts ◽  
And Coping

This study is part of a broader phenomenological study on the experiences of family caregivers and their care recipients. There is a general paucity of research on the experiences of primary and secondary caregivers, and the negative impact of elderly care on caregivers in the urban poor settings in Ghana. This study explored primary and secondary caregivers’ challenges and coping strategies in the urban poor context in Accra, Ghana. This study was conducted in Ga Mashie. Thirty-one caregivers were interviewed. A phenomenological analysis was conducted using NVivo 10. Primary and secondary caregivers experienced economic, physical, social, and psychological burdens. Also, caregivers used spirituality and perseverance to cope with their challenges. The findings demonstrate that caregivers’ challenges varied by type of caregiver. Researchers and policymakers should consider the type of caregiver when designing interventions to mitigate the negative impacts of family caregiving on caregivers.

scholarly journals Age Variations in Perceived COVID-19 Threats, Negative Impacts, and Associations with Well-Being

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 933-933
Author(s):  
Tara Gruenewald ◽  
Anthony Ong ◽  
Danielle Zahn
Keyword(s):  
Sleep Quality ◽  
Disease Severity ◽  
Negative Impact ◽  
Well Being ◽  
Poor Sleep ◽  
Older Individuals ◽  
Poor Sleep Quality ◽  
Age Variations ◽  
Age Variation ◽  
Negative Impacts

Abstract The COVID-19 pandemic represents an unprecedented threat to individual and public health, psychosocial, and economic well-being, although COVID-19 threats and impacts may vary by age and other demographic characteristics. Although greater age is a risk factor for greater COVID-19 disease severity, we know little about the association between age and perceived and experienced COVID-19 threats and their association to well-being. These associations were examined in an ongoing 3-wave investigation of over 1,700 U.S. adults (age 18-89; 53.1% female). Wave 1 analyses indicate no significant age variation in perceived threat of COVID-19 infection, with older and younger individuals reporting similar levels of COVID-19 infection threat. However, greater age was associated with lower perceived negative impact on financial and needed resources (r=-.10**), lower perceptions of COVID-19 induced harm to mental well-being (r=-.17**), and more favorable well-being profiles. Greater perceived COVID-19 threat and negative impact on resources and well-being were linked to greater feelings of stress (β’s=.45 to .68***), loneliness (β’s=.24 to .49***), social well-being (β’s=-.19 to -.36***), and poor sleep quality (β’s=.34 to .51***). These associations did not vary with age with the exception that older individuals showed stronger links between COVID-19 threat and impacts and poorer sleep quality. Ongoing analyses are examining whether these associations persist over time. Despite older adults’ greater risk of COVID-19 disease severity and mortality, older age did not appear to be linked to greater perceived COVID-19 threat or impacts, nor linkages to ill-being, with the possible exception of potential greater vulnerability to poor sleep quality.

scholarly journals Please Like Me: Ingratiation as a Moderator of the Impact of the Perception of Organizational Politics on Job Satisfaction

2021 ◽  
Vol 18 (14) ◽  
pp. 7455
Author(s):  
Triana Fitriastuti ◽  
Pipiet Larasatie ◽  
Alex Vanderstraeten
Keyword(s):  
Job Satisfaction ◽  
Negative Impact ◽  
Adaptive Strategy ◽  
Organizational Politics ◽  
Organizational Outcomes ◽  
Cultural Perspective ◽  
Moderator Variable ◽  
Negative Impacts ◽  
Perception Of Organizational Politics ◽  
The Impact

Drawing from the negative impacts of the perception of organizational politics (POP) on the literature on organizational outcomes, the model proposed in this study examines a nonlinear relationship of POP on job satisfaction. In a similar way, ingratiation as a moderator variable is tested. Based on a survey of 240 state-owned enterprise employees in Indonesia, this study finds that POP exhibits an inverted U-shaped relationship with job satisfaction. Low and high levels of POP have a negative impact on job satisfaction. Nevertheless, our most intriguing finding is that ingratiation behavior not only strengthens POP’s effects on job satisfaction, but can also alter the direction of the relationship in which its shape is represented by a U-shape. This shape indicates that the employees who engage in high levels of ingratiation as a coping mechanism and adaptive strategy tend to do so when they perceive high degrees of POP. These results are then discussed from a cross-cultural perspective as an attempt to explain the legitimacy of ingratiation in Indonesia.

scholarly journals Predicting the potential distribution of the vase tunicate Ciona intestinalis in Canadian waters: informing a risk assessment

2008 ◽  
Vol 65 (5) ◽  
pp. 788-794 ◽  
Author(s):  
Thomas W. Therriault ◽  
Leif-Matthias Herborg
Keyword(s):  
Risk Assessment ◽  
Native Species ◽  
Potential Distribution ◽  
Negative Impact ◽  
Ciona Intestinalis ◽  
Environmental Niche ◽  
Environmental Models ◽  
Introduced Range ◽  
Negative Impacts ◽  
Almost All

Abstract Therriault, T. W., and Herborg, L-M. 2008. Predicting the potential distribution of the vase tunicate Ciona intestinalis in Canadian waters: informing a risk assessment. – ICES Journal of Marine Science, 65: 788–794. A crucial step in characterizing the potential risk posed by non-native species is determining whether a potential invader can establish in the introduced range and what its potential distribution could be. To this end, various environmental models ranging from simple to complex have been applied to predict the potential distribution of an invader, with varying levels of success. Recently, in marine waters, tunicates have received much attention, largely because of their negative impacts on shellfish aquaculture. One of these species is the vase tunicate Ciona intestinalis, which recently has had a negative impact on aquaculture operations in Atlantic Canada and could pose a risk in Pacific Canada. To inform the risk assessment of this species, we evaluated two different types of environmental model. Simple models based on reported temperature or salinity tolerances were relatively uninformative, because almost all waters were deemed suitable. In contrast, a more complex genetic algorithm for rule-set prediction (GARP) environmental niche model, based on documented Canadian occurrence points, provided informative projections of the potential distribution in Canadian waters. In addition to informing risk assessments, these predictions can be used to focus monitoring activities, particularly towards vectors that could transport C. intestinalis to these favourable environments.

scholarly journals A reliable rainfall–runoff model for flood forecasting: review and application to a semi-urbanized watershed at high flood risk in Italy

2016 ◽  
Vol 48 (3) ◽  
pp. 726-740 ◽  
Author(s):  
Daniele Masseroni ◽  
Alessio Cislaghi ◽  
Stefania Camici ◽  
Christian Massari ◽  
Luca Brocca
Keyword(s):  
Flood Risk ◽  
Climatic Conditions ◽  
Rainfall Runoff ◽  
Number Of Factors ◽  
Wide Range ◽  
Median Volume ◽  
Flood Estimation ◽  
High Flood ◽  
Rainfall Runoff Model ◽  
Flooding Events

Many rainfall–runoff (RR) models are available in the scientific literature. Selecting the best structure and parameterization for a model is not straightforward and depends on a broad number of factors, including climatic conditions, catchment characteristics, temporal/spatial resolution and model objectives. In this study, the RR model ‘Modello Idrologico Semi-Distribuito in continuo’ (MISDc), mainly developed for flood simulation in Mediterranean basins, was tested on the Seveso basin, which is stressed several times a year by flooding events mainly caused by excessive urbanization. The work summarizes a compendium of the MISDc applications over a wide range of catchments in European countries and then it analyses the performances over the Seveso basin. The results show a good fit behaviour during both the calibration and the validation periods with a Nash–Sutcliffe coefficient index larger than 0.9. Moreover, the median volume and peak discharge errors calculated on several flood events were less than 25%. In conclusion, we can be assured that the reliability and computational speed could make the MISDc model suitable for flood estimation in many catchments of different geographical contexts and land use characteristics. Moreover, MISDc will also be useful for future support of real-time decision-making for flood risk management in the Seveso basin.

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