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Author(s):  
M R Yasoa ◽  
M N H Yusoff ◽  
S N M Said ◽  
S A Zainuddin ◽  
N A M Nasir ◽  
...  

This paper investigates the possibility and feasibility of the Islamic banking industry in Malaysia to hire external Shariah audit (ESA) services in the audit fraternity as one of the Shariah governance mechanisms to strengthen Shariah compliance in the industry. Methodologically, the study employs a qualitative method by utilizing semi-structured interviews with nine (9) key industry players consists of few Shariah auditors, heads of Shariah audit, Shariah committee, and Chief of Shariah officer. Data gathered from the interviews have been transcribed and analyzed using Atlas.ti. The findings from the interview provide interesting mixed views in the sense that both parties have their justifications to support their arguments based on experience and observation. However, considering the current practices by the Islamic banking industry, it could be inferred that the Malaysian Islamic banking industry is not ready to exercise the ESA practices. The future study may consider other views from other relevant parties such as the regulator and external auditor to produce a more solid and robust result. Keywords: External Shariah Audit, Islamic Banks, Qualitative Method, Shariah Governance


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Daniel Nohrstedt ◽  
Maurizio Mazzoleni ◽  
Charles F. Parker ◽  
Giuliano Di Baldassarre

AbstractNatural hazard events provide opportunities for policy change to enhance disaster risk reduction (DRR), yet it remains unclear whether these events actually fulfill this transformative role around the world. Here, we investigate relationships between the frequency (number of events) and severity (fatalities, economic losses, and affected people) of natural hazards and DRR policy change in 85 countries over eight years. Our results show that frequency and severity factors are generally unassociated with improved DRR policy when controlling for income-levels, differences in starting policy values, and hazard event types. This is a robust result that accounts for event frequency and different hazard severity indicators, four baseline periods estimating hazard impacts, and multiple policy indicators. Although we show that natural hazards are unassociated with improved DRR policy globally, the study unveils variability in policy progress between countries experiencing similar levels of hazard frequency and severity.


Author(s):  
Peng Zhou ◽  
Liang Du ◽  
Xuejun Li

Consensus clustering provides a framework to ensemble multiple clustering results to obtain a consensus and robust result. Most existing consensus clustering methods usually apply all data to ensemble learning, whereas ignoring the side effects caused by some difficult or unreliable instances. To tackle this problem, we propose a novel self-paced consensus clustering method to gradually involve instances from more reliable to less reliable ones into the ensemble learning. We first construct an initial bipartite graph from the multiple base clustering results, where the nodes represent the instances and clusters and the edges indicate that an instance belongs to a cluster. Then, we learn a structured bipartite graph from the initial one by self-paced learning, i.e., we automatically decide the reliability of each edge and involves the edges into graph learning in order of their reliability. At last, we obtain the final consensus clustering result from the learned bipartite graph. The extensive experimental results demonstrate the effectiveness and superiority of the proposed method.


2020 ◽  
pp. 004728752091527
Author(s):  
Emmanouil F. Papavasileiou ◽  
Panagiotis Tzouvanas

Since the introduction of the carbon Kuznets-curve hypothesis in the mid-1990s, the inverted U–shaped relationship between economic development and carbon emissions has remained a subject of debate in the social sciences. We engage tourism research in this debate, in a fourfold manner. First, we offer a systematic literature review concerning the role of tourism in the carbon Kuznets-curve hypothesis using a protocol-based reporting process. Second, we present the level of consensus with the carbon Kuznets-curve hypothesis and the conceptual gaps in the identified literature (n = 22). Third, we introduce an emerging concept, offering a novel tourism corporate/performance orientation to the carbon Kuznets-curve hypothesis. Fourth, we provide evidence of empirical validity using different econometric techniques from an international tourism corporation (n = 86) data set (2005–2018). The inverted U–shaped relationship between measures of economic and carbon performance among tourism corporations is a robust result under many different specifications.


2020 ◽  
Vol 33 (9) ◽  
pp. 3827-3844
Author(s):  
Jean-Louis Dufresne ◽  
Vincent Eymet ◽  
Cyril Crevoisier ◽  
Jean-Yves Grandpeix

AbstractSince the 1970s, results from radiative transfer models unambiguously show that an increase in the carbon dioxide (CO2) concentration leads to an increase of the greenhouse effect. However, this robust result is often misunderstood and often questioned. A common argument is that the CO2 greenhouse effect is saturated (i.e., does not increase) as CO2 absorption of an entire atmospheric column, named absorptivity, is saturated. This argument is erroneous first because absorptivity by CO2 is currently not fully saturated and still increases with CO2 concentration and second because a change in emission height explains why the greenhouse effect may increase even if the absorptivity is saturated. However, these explanations are only qualitative. In this article, we first propose a way of quantifying the effects of both the emission height and absorptivity and we illustrate which one of the two dominates for a suite of simple idealized atmospheres. Then, using a line-by-line model and a representative standard atmospheric profile, we show that the increase of the greenhouse effect resulting from an increase of CO2 from its current value is primarily due (about 90%) to the change in emission height. For an increase of water vapor, the change in absorptivity plays a more important role (about 40%) but the change in emission height still has the largest contribution (about 60%).


2020 ◽  
Vol 130 (632) ◽  
pp. 2410-2437
Author(s):  
Jeppe Druedahl ◽  
Thomas H Jørgensen

Abstract The degree to which consumers can distinguish persistent from transitory income shocks is paramount for consumption-saving dynamics. In particular, even a small amount of imperfect information causes a severe bias in conventional estimators of the marginal propensity to consume. We provide a novel method that can identify consumers’ degree of information by using panel data on income and consumption, even allowing for measurement error. Employing our method to data from the Panel Study of Income Dynamics, we find that households have almost perfect information. This robust result indicates that the conventional estimators of the marginal propensity to consume are on firm ground.


2019 ◽  
Vol 2 ◽  
pp. 1-6
Author(s):  
Akira Sasagawa ◽  
Shuto Sugai ◽  
Mayumi Noguchi

<p><strong>Abstract.</strong> A new algorithm of automatic change detection for update of base map is presented. In conventional method, using two different types of ortho image, such as aerial photo and satellite image, makes detection quality worse due to the difference of each contrast, brightness, color balance and so on. To obtain robust result against such difference between two images, we introduce edge-vector technique. We applied this method using two ortho images derived from each aerial photo and satellite image. We have tested our method and confirmed a performance of the change detection by the interpretation test. In this paper, the detailed algorithm and the result of interpretation test are reported.</p>


2019 ◽  
Author(s):  
Iris van de Pol ◽  
Shane Steinert-Threlkeld ◽  
Jakub Szymanik

Despite wide variation among natural languages, there are linguistic properties universal to all (or nearly all) languages. An important challenge is to explain why these linguistic universals hold. One explanation employs a learnability argument: semantic universals hold because expressions that satisfy them are easier to learn than those that do not. In an exploratory study we investigate the relation between learnability and complexity and whether the presence of semantic universals for quantifiers can also be explained by differences in complexity. We develop a novel application of (approximate) Kolmogorov complexity to measure fine-grained distinctions in complexity between different quantifiers. Our results indicate that the monotonicity universal can be explained by complexity while the conservativity universal cannot. For quantity we did not find a robust result. We also found that learnability and complexity pattern together in the monotonicity and conservativity cases that we consider, while that pattern is less robust in the quantity cases.


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