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1 – 10 of 67The purpose of this paper is to provide a historical and current accounting of the state of refugee education in both the USA and Sweden. The growing diaspora of people around the…
Abstract
Purpose
The purpose of this paper is to provide a historical and current accounting of the state of refugee education in both the USA and Sweden. The growing diaspora of people around the globe implores educators to utilize effective models and strategies to meet the needs of refugees, as well as to advocate policies that aid in this utilization. Sweden has the highest rate of refugee acceptance in Europe, and the USA has the greatest number of immigrants in the west.
Design/methodology/approach
A review of the literature formatted to provide the reader with a historical accounting of the states of refugee education in both host nations, as well as the current states. Strategies and promising policies are introduced based on the literature and the author’s own research conducted in Sweden.
Findings
The paper addresses the history and present situations of two host nations, Sweden and the USA, who have differing education systems and histories of immigration. Concerns and two possible solutions offered were to increase opportunities for interaction between native and refugee populations; and bolster funding for the education of refugee school-age children and adolescents, and adults so that effective strategies and environment described in the literature can be put into place by effectively trained educators. These solutions could improve the cultural competence among all peoples in both nations, better enabling the two countries to provide economically and socially sustainable environments for all of their inhabitants.
Research limitations/implications
The examination of these two nations’ education of refugees may shed light on the worldwide challenges of refugees and mass immigration.
Practical implications
The solutions offered in the paper could improve the cultural competence among all peoples in both nations, better enabling the two countries to provide economically and socially sustainable environments for all of their inhabitants.
Originality/value
A comparison of US refugee education with that of a high-volume European host nation does not yet appear to have been published.
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Keywords
Shekhar Mishra and Sathya Swaroop Debasish
This study aims to explore the linkage between fluctuations in the global crude oil price and equity market in fast emerging economies of India and China.
Abstract
Purpose
This study aims to explore the linkage between fluctuations in the global crude oil price and equity market in fast emerging economies of India and China.
Design/methodology/approach
The present research uses wavelet decomposition and maximal overlap discrete wavelet transform (MODWT), which decompose the time series into various frequencies of short, medium and long-term nature. The paper further uses continuous and cross wavelet transform to analyze the variance among the variables and wavelet coherence analysis and wavelet-based Granger causality analysis to examine the direction of causality between the variables.
Findings
The continuous wavelet transform indicates strong variance in WTIR (return series of West Texas Instrument crude oil price) in short, medium and long run at various time periods. The variance in CNX Nifty is observed in the short and medium run at various time periods. The Chinese stock index, i.e. SCIR, experiences very little variance in short run and significant variance in the long and medium run. The causality between the changes in crude oil price and CNX Nifty is insignificant and there exists a bi-directional causality between global crude oil price fluctuations and the Chinese equity market.
Originality/value
To the best of the authors’ knowledge, very limited work has been done where the researchers have analyzed the linkage between the equity market and crude oil price fluctuations under the framework of discrete wavelet transform, which overlooks the bottleneck of non-stationarity nature of the time series. To bridge this gap, the present research uses wavelet decomposition and MODWT, which decompose the time series into various frequencies of short, medium and long-term nature.
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