Suchergebnisse

Chapter 1: Introduction -- Chapter 2: Need to Redefine Islamic Finance in The Light of Maqasid Al-Shariah -- Chapter 3: Pandemic Crisis, Digitalization and Social Responsibility: An Emerging Role of Islamic Economics and Finance -- Chapter 4: Sustainable Finance And A Shari' Analysis Of The Environmental, Social And Governance Criteria -- Chapter 5: Finance as a Source of Ecological Quality: Islamic Ethics of Environment and Empirical Evidence -- Chapter 6: Islamic Finance and SDGs: Connecting Dots -- Chapter 7: Qard Hasan (Interest-free Loan) as a Tool for Sustainable Development -- Chapter 8: Contribution of Islamic Banks on Financial and Economic Stability: An Empirical Comparison between Conventional and Islamic Banks -- Chapter 9: The Role of Islamic Finance in Achieving Sustainable Development Goals -- Chapter 10: Proposing New Islamic Microfinance Model for Sustainable Islamic Microfinance Institution -- Chapter 11: Islamic finance and sustainable economy: a new model of Islamic financial ecosystem -- Chapter 12: Islamic Finance and SDG 10: A Mirage? -- Chapter 13: The Role of Islamic Financial System in Building Sustainable Infrastructure -- Chapter 14: Islamic Finance System as a Catalyst for Sustainability in the Economy .

ABSTRACT: Extant literature investigates on the determinants of NPL (non-performing loan) many a time, however, little is known on the relationship between economic uncertainty and NPL for any developing country. Historically, Bangladesh is suffering from high level of NPL in the banking sector. In addition to that, Bangladesh observes high level of macroeconomic uncertainty as characterized by high and volatile Gross Domestic Products and inflation, continuous exchange rate devaluations, and shallow financial markets. Motivated by this, we investigate the nexus between economic uncertainty and NPL for Bangladesh. Based on the data availability, we use the annual dataset covering 1990–2018. Furthermore, we use autoregressive distributed lag (ARDL) model considering its benefit accommodating both I(0) and I(1) variables. The empirical results show that there is positive relationship between economic uncertainty and NPL in the long run. The results are robust to the alternative measures of economic uncertainty and specifications. Consistent with the expectation, financial development carries a negative sign on the asset quality albeit the effect of economic uncertainty is actually pronounced (both the size and significance changes) in the augmented models. Key policy implication of this study is that government should formulate well anchored, rule-based policies to reduce inflation and interest related uncertainties. With a rule-based policy (for example, inflation targeting), people believe that central bank can achieve its targets. Government should adopt floating exchange rate regime that will adjust the external shocks well via exchange rates. In addition to this, government can monitor, and regulate stock market so that uncertainty in stock market is reduced. Finally, monetary and fiscal policies should be communicated well to the people. Thus, it is possible to reduce asymmetric information among the people, which may reduce economic uncertainty, and thus reduce NPL.

Sediment transport is the main driver of the channel morphology and landscape evolution, with implications for chemical and biological river processes, and human-related activities. Understanding the processes governing the relations between discharge and suspended sediments is essential for the management of river catchments and river networks. Here, we use the method of wavelet transformation to identify the time-scale dependency of suspended sediment patterns concerning the temporally and spatially uneven transient processes of sediment production, accumulation, and transport. We analyze the temporal variation of concurrent discharge and suspended sediment fluxes for the Upper Changjiang (Yangtze River, China) at Pingshan station by using a long-term database collected for over 50 years. Furthermore, we bridge the limitations of pure predictive models to learn from temporal data structures with the main purpose of identifying the mechanisms underpinning the suspended sediment patterns (e.g., climatic forces). Intraseasonal-to-seasonal, annual, and inter-annual dominant time-scales are thus identified. The short time-scales are driven by the bi-modal seasonal precipitation pattern specific to the climate of the region and provide a continuous supply of sediments to the river. The large time-scales, controlled by high magnitude flow events and within-reach sediment storage, display alternating periods of increasing and decreasing sediment fluxes; ultimately, they maintain the river channel within balance or within a moderate positive sediment accumulation process. This analysis and methodology help to understand temporal sediment dynamics, and ultimately to manage river catchments. ; This work was funded by the H2020-MSCA-IF-2018 programme (Marie Sklodowska-Curie Actions) of the European Union under REA grant agreement, number SEDILAND-834329. ; Peer reviewed