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The occurrences of disasters have become a common phenomenon in the world and there is evidence that the frequency and intensity of disasters are increasing. There have been more than 7,000 disaster events and around 265 million displacements in the period from 2008 to 2018, which constitutes more than three times of conflict and violence-related displacements (Disaster Displacement – A global review, 2019). Natural disasters are responsible for nearly 60,000 deaths per year on average and are responsible for 0.1% of global deaths. Various forms of natural disasters pose significant threats to lives, livelihoods, economic development, and ecological diversity around the world. Similar to the world scenario, Sri Lanka has a similar situation. Sri Lanka has been identified as a drought hot spot. Nearly, 15,000 people per million are at risk of disaster-induced displacement every year in Sri Lanka. During the Tsunami, in 2004, 31,000 human lives were lost, and more than a million people were displaced. Thus, natural disasters cause a huge negative impact on society and the economy in Sri Lanka. In this context, the main objectives of this study are to overview the disasters and displacements that have occurred during the last two decades and to explore the livelihood activities of the affected people and their best practices of disaster resilience. Secondary data were used to overview the disasters and displacements of the last two decades and the related policy framework of the country. Primary data were used to identify livelihood activities and disaster-resilient strategies of the affected people. In-depth interviews were conducted with an unstructured questionnaire from 15 recovered families who have been affected by Tsunami and landslides that occurred in the country. The purposive sampling method was used to select families from the most disaster-affected areas. Descriptive methods were used to analyze the data. The study revealed five recovery strategies followed by displaced people from tsunamis and landslides. Those are continuing with the previous livelihood activities as much as possible, moving to different livelihood activities, moving to different areas to find better jobs, attaining external assistance, and self-management on household finance. Finally, policy guidelines for building resilience in communities that will help to enhance their capacity to cope and recover from vulnerability are proposed in improving their lives.

This chapter analyses the causes and effects of the financial crisis that commenced in 2008, and it examines the dramatic government rescues and reforms. The outcomes of this, the most severe collapse to befall the United States and the global economy for three-quarters of a century, are still unfolding. Banks, homeowners and industries stood to benefit from government intervention, particularly the huge infusion of taxpayer funds, but their future is uncertain. Instead of extending vital credit, banks simply kept the capital to cover other firm needs (including bonuses for executives). Industry in the prevailing slack economy was not actively seeking investment opportunities and credit expansion. The property and job markets languished behind securities market recovery. It all has been disheartening and scary – rage against those in charge fuelled gloom and cynicism. Immense private debt was a precursor, but public debt is the legacy we must resolve in the future.

Recognition, measurement and disclosure of public sector assets constitute relevant matters for national and international public sector accounting standard-setting. This chapter develops a theoretical analysis drawing upon a dualistic approach contrasting current value and historical cost accounting models. Accordingly, the latter should be adapted and then preferred to cope with public sector specificities, with a view to providing information for and enforcing accountability to citizens and their political representatives. Drawing upon this theoretical setting, our analysis develops a consistent design for the overarching conceptual framework for assets in general, providing illustrative examples for specific categories such as financial, heritage, natural and military assets.

The robust appraisal of exploration drilling concepts is essential for establishing the economic viability of a prospective recovery field. This study evaluates the different concept selection methods that were considered for drilling operations at the Trym field in Norway. The construction of drilling rigs is a capital-intensive process, and it involves high levels of economic risk. These risks can be broadly categorised as aleatoric (i.e. those related to chance) and epistemic (i.e. those related to knowledge). Evaluating risks in the investment appraisal process tends to be a complicated process. Project risks are evaluated using Monte Carlo simulation (MCS) and are based on the fuzzy analytic hierarchy process (AHP). MCS provides a useful means of evaluating variabilities (i.e. aleatoric risks) in oil drilling operations. However, many of the economic risks in oil drilling processes are unanticipated, and, in some cases, are not readily expressible in quantitative values. The fuzzy AHP is therefore used to appraise the qualitatively defined indirect revenues comprising risks that affect future flexibilities, schedule certainty and health and safety performance. Both the Monte Carlo technique and the fuzzy AHP technique found that a cumulative revenue variation of up to 30% is possible in any of the considered drilling options. The fuzzy AHP technique estimates that the chances of profitability being less than NOK 1 billion over a five-year period is 0.5%, while the Monte Carlo technique estimates suggest a more conservative proportion of 10%. Overall, the fuzzy AHP technique is easy to use and flexible, and it demonstrates increased robustness and improved predictability.

The COVID-19 pandemic deteriorated the economic situation and raised the issue of the quality of banks’ assets and, in particular, the growth of non-performing loans (NPLs). The study approaches a topical subject that is of interest to banks and society at large, as credit availability is likely to be reduced. Over the last 10 years, the Baltic countries’ banking sector has significantly improved its risk management policies and practices, increased capital ratios on its balance sheets, and created risk reserves. The current chapter examines the factors affecting NPLs in the Baltic States based on advanced econometric modelling applied to data extracted from the International Monetary Fund (IMF) and Eurostat. The study results show that credit risk management in the Baltic States has significantly improved compared to the period before the global financial crisis (GFC), the capitalisation of credit institutions is one of the highest in the European Union (EU), and banks are liquid and profitable. Lending recovered from the downturn in the first phase of the pandemic, and credit institutions have taken advantage of the European Central Bank’s (ECB) long-term funding programme ITRMO III to improve the liquidity outlook. Although the credit quality of commercial banks has not deteriorated, as the exposures of credit institutions in the most affected sectors are insignificant and governments have provided fiscal support to businesses and households, some challenges remain. The increase in credit risk is expected due to rising production prices as well as the rebuilding of disrupted supply chains. The findings allow conclusions to be drawn on the necessary actions to mitigate the credit risk of the banking sector.