A period in which we will be more affected by the effects of climate change is about to begin. The decrease in return periods of natural disasters is expected to affect the economy and social life deeply. In particular, the impact of economic damages that floods on the global economy has been stated. The total value of the company's assets is generally used in calculating the risk analysis for companies. This method predicts that all assets in the company will suffer the same amount of damage. In reality, the damage rate to each asset from floods is different. This research aims to determine the distribution of tangible assets for business firms in the Lombardy region of Italy. For this purpose, a data analysis study was first conducted. The data was classified according to fields of activity. Additionally, an extra special sub-classification study was handled for some sectors. In order to examine the change in asset distributions according to the scales of the companies. Statistical control of the calculations was performed and validation was performed. As a result of the validation process, usable data sets were determined. Subsequently, tangible asset percentage distribution was found for each sector. This study will provide a much more precise risk calculation since the exposure value of each asset will be provided during the risk calculation. The basis for further studies has been established.
A period in which we will be more affected by the effects of climate change is about to begin. The decrease in return periods of natural disasters is expected to affect the economy and social life deeply. In particular, the impact of economic damages that floods on the global economy has been stated. The total value of the company's assets is generally used in calculating the risk analysis for companies. This method predicts that all assets in the company will suffer the same amount of damage. In reality, the damage rate to each asset from floods is different. This research aims to determine the distribution of tangible assets for business firms in the Lombardy region of Italy. For this purpose, a data analysis study was first conducted. The data was classified according to fields of activity. Additionally, an extra special sub-classification study was handled for some sectors. In order to examine the change in asset distributions according to the scales of the companies. Statistical control of the calculations was performed and validation was performed. As a result of the validation process, usable data sets were determined. Subsequently, tangible asset percentage distribution was found for each sector. This study will provide a much more precise risk calculation since the exposure value of each asset will be provided during the risk calculation. The basis for further studies has been established.
Estimation of the Firm Asset Exposure for Flood Risk Assessment: The Case Study of Lombardy Region
SEPETOGLU, MERT
2023/2024
Abstract
A period in which we will be more affected by the effects of climate change is about to begin. The decrease in return periods of natural disasters is expected to affect the economy and social life deeply. In particular, the impact of economic damages that floods on the global economy has been stated. The total value of the company's assets is generally used in calculating the risk analysis for companies. This method predicts that all assets in the company will suffer the same amount of damage. In reality, the damage rate to each asset from floods is different. This research aims to determine the distribution of tangible assets for business firms in the Lombardy region of Italy. For this purpose, a data analysis study was first conducted. The data was classified according to fields of activity. Additionally, an extra special sub-classification study was handled for some sectors. In order to examine the change in asset distributions according to the scales of the companies. Statistical control of the calculations was performed and validation was performed. As a result of the validation process, usable data sets were determined. Subsequently, tangible asset percentage distribution was found for each sector. This study will provide a much more precise risk calculation since the exposure value of each asset will be provided during the risk calculation. The basis for further studies has been established.| File | Dimensione | Formato | |
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MERT SEPETOGLU Thesis Final Version.pdf
accesso aperto
Descrizione: Name Surname:Mert Sepetoglu
Student ID:513384
Supervisors: Mario Lloyd Virgilio Martina
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6.63 MB
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Adobe PDF
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6.63 MB | Adobe PDF | Visualizza/Apri |
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https://hdl.handle.net/20.500.14239/33239