scholarly journals Vulnerability Assessment and Household Preparedness Level to Flood in Ogunpa-Oni Sub River Basin

2021 ◽  
pp. 17-31
Author(s):  
T. A. Balogun ◽  
M. O. Adamu ◽  
T. Alaga ◽  
J. E. Adewoyin ◽  
S. A. Ajisafe ◽  
...  
Keyword(s):  
River Basin ◽  
Logistic Model ◽  
Participatory Approach ◽  
Insurance Policy ◽  
Household Decision ◽  
Natural Event ◽  
Vulnerability Map ◽  
Refuse Disposal ◽  
Household Preparedness ◽  
Binary Logistic Model

Flood is a natural event that cause varying degree of losses despite initiatives to mitigate its impact. As the drive to retore normalcy in flood riddle areas increases, concerns about the vulnerability of areas in relation to households’ responses to flood has emerged. This study therefore, identified areas vulnerable to flood; elicit households’ sociodemographic attributes and examine their level of preparedness to flood in Ogunpa and Oni River Basin. A GIS-based approach was adopted along with 121 well-structured questionnaires administered to the respondents. A multi-criteria analysis (that considers slope, rainfall, soil type, DEM and NDVI was adopted), descriptive statistic and binary logistic model was used to achieve the objectives. The results from the vulnerability map revealed varying vulnerability status across Ogunpa and Oni River Basin. In addition, the sociodemographic statistics revealed important variables that influences household decision to prepare for flood. It was also known that factors that drive households to prepare for flood vary across households in Ogunpa and Oni River Basin. The study recommends enlightenment campaign on proper refuse disposal, strengthening of environmental regulatory agency, adoption of participatory approach in the buildup of environmental policy and increasing the level of awareness on the need for insurance policy that covers household against disaster such as flood.

scholarly journals Balanced Scorecard Model for Hazards Risk Management at Limpopo River Basin A Country Participatory Approach for MCDA with Scenario Planning

2013 ◽  
Vol 10 (1) ◽  
pp. 1268-1285
Author(s):  
Avelino Isaias Mondlane ◽  
Karin Hasson ◽  
Oliver Popov
Keyword(s):  
Risk Management ◽  
Best Practices ◽  
Social Development ◽  
River Basin ◽  
Balanced Scorecard ◽  
Participatory Approach ◽  
Scenario Planning ◽  
Strategic Decision ◽  
Hazard Risk ◽  
Hazard Risk Management

This paper focuses on the application of both Balanced Scorecard (BSC) conceptual framework and Multi-criteria Decision Analysis (MCDA) a tool for Scenario Planning as a tool for Strategic Decision Thinking, on hazard risk management within Limpopo River Basin. We discuss best practices in four main domains areas, namely Politic (as pool for country raking worldwide), Economic, Social Development and Technology and how they can contribute to build a viable scenario for the management of the basin.  

scholarly journals Fraud Risk Factors of Fraud Triangle and the Likelihood of Fraud Occurrence: Evidence from Malaysia

2014 ◽  
Vol 6 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Shabnam Fazli Aghghaleh ◽  
Zakiah Muhammaddun Mohamed .
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Logistic Model ◽  
Audit Committee ◽  
Financial Statement ◽  
Fraud Triangle ◽  
Financial Statement Fraud ◽  
Fraud Risk ◽  
Available Information ◽  
Binary Logistic Model

The current research studies the usefulness of Cressey’s fraud risk factor framework adopted from SAS No. 99 to prevent fraud from occurring. In accordance with Cressey’s theory, pressure, opportunity and rationalization are existing when fraud occurs. The study suggests variables as proxy measures for pressure and opportunity, and test these variables using publicly available information relating to a set of fraud firms and a sample of no-fraud firms. Two pressure proxies and two opportunity proxies are identified and suggested to be significantly related to financial statement fraud. We find that leverage and sale to account receivable are positively related to the likelihood of fraud. Audit committee size and board of directors’ size are also linked to decrease the level of financial statement fraud. A binary logistic model based on examples of fraud risk factors of fraud triangle model measures the likelihood of financial statement fraud and can assist experts.

scholarly journals Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Ellis Kobina Paintsil ◽  
Akoto Yaw Omari-Sasu ◽  
Matthew Glover Addo ◽  
Maxwell Akwasi Boateng
Keyword(s):  
Logistic Regression ◽  
Microscopic Examination ◽  
Peripheral Blood ◽  
Malaria Infection ◽  
Logistic Model ◽  
Malaria Diagnosis ◽  
Blood Film ◽  
Haematological Parameters ◽  
Peripheral Blood Film ◽  
Binary Logistic Model

Malaria is the leading cause of morbidity in Ghana representing 40-60% of outpatient hospital attendance with about 10% ending up on admission. Microscopic examination of peripheral blood film remains the most preferred and reliable method for malaria diagnosis worldwide. But the level of skills required for microscopic examination of peripheral blood film is often lacking in Ghana. This study looked at determining the extent to which haematological parameters and demographic characteristics of patients could be used to predict malaria infection using logistic regression. The overall prevalence of malaria in the study area was determined to be 25.96%; nonetheless, 45.30% of children between the ages of 5 and 14 tested positive. The binary logistic model developed for this study identified age, haemoglobin, platelet, and lymphocyte as the most significant predictors. The sensitivity and specificity of the model were 77.4% and 75.7%, respectively, with a PPV and NPV of 52.72% and 90.51%, respectively. Similar to RDT this logistic model when used will reduce the waiting time and improve the diagnosis of malaria.

PENGARUH LEVERAGE, PERGANTIAN CEO DAN MOTIVASI PAJAK TERHADAP MANAJEMEN LABA

2011 ◽  
Vol 7 (1) ◽  
pp. 19
Author(s):  
Chandra Yuliana
Keyword(s):  
Logistic Regression ◽  
Statistical Analysis ◽  
Earnings Management ◽  
Significant Influence ◽  
Logistic Model ◽  
Discretionary Accruals ◽  
Manufacturing Firms ◽  
Analysis Method ◽  
Statistical Analysis Method ◽  
Binary Logistic Model

The purpose of this research is to test empirically the influence of leverage, turnover of CEO and tax motivation to earnings management, based on its discretionary accruals value. The sample of this research is listed manufacturing firms for the period 2004-2008 with 5 different subsectors. Statistical analysis method used in this research is logistic regression with binary logistic model. The result shows leverage does not have significant influence to earnings management while the turnovers of CEO and tax motivation have significant influence to earnings management.Keywords: Earnings Management, Leverage, CEO, Tax

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