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<pubDate>Thu, 04 Jun 2026 20:18:01 GMT</pubDate>
<dc:date>2026-06-04T20:18:01Z</dc:date>
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<title>Coo-ee from Chinese Australians: Echoing The Long Connections with Indigenous Communities</title>
<link>https://hdl.handle.net/2123/34662</link>
<description>Coo-ee from Chinese Australians: Echoing The Long Connections with Indigenous Communities
Shen, Yinfeng; Hendrischke, Hans
The word "cooee" originates from the Dharug word 'guu-wii', meaning 'come here'. It is used to project one’s voice over long distances. Its echo finds people at a distance and indicates one’s own location.&#13;
&#13;
The Chinese Australian community shares a rich history of interaction with Aboriginal and Torres Strait Islander peoples, dating back to the mid-nineteenth century. There are narratives from the Gold Rush era, with tales of Chinese settlers in Outback Australia. Early Chinese migration began in the 1850s, with Chinese people settling in many parts of Australia. Their connections with Indigenous Peoples are evident in various forms of collaboration, art, history, culture, mythology, food and innovation, drawing upon individual experiences and shared stories.&#13;
&#13;
This report reimagines the past, present and future of enduring connections and profound interweavings between the Chinese Australian community and Aboriginal and Torres Strait Islander peoples.
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<pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
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<dc:date>2023-01-01T00:00:00Z</dc:date>
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<title>Covid-19 and the China opportunity narrative: investment, trade, and the belt and road initiative</title>
<link>https://hdl.handle.net/2123/28398</link>
<description>Covid-19 and the China opportunity narrative: investment, trade, and the belt and road initiative
Liu, Kerry
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<pubDate>Sat, 01 Jan 2022 00:00:00 GMT</pubDate>
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<dc:date>2022-01-01T00:00:00Z</dc:date>
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<title>The effects of COVID-19 on Chinese stock markets: an EGARCH approach</title>
<link>https://hdl.handle.net/2123/25609</link>
<description>The effects of COVID-19 on Chinese stock markets: an EGARCH approach
Liu, Kerry
Coronavirus disease 2019 (COVID-19), the disease caused by the novel coronavirus SARS-CoV-2, has greatly affected financial markets, economies and societies worldwide. This study focusses on the Chinese stock markets. Based on Google Trends data during the period from 1 January 2020 to 12 April 2020, and using the exponential generalised autoregressive conditional heteroskedastic (EGARCH) model, this study finds that the higher uncertainty resulting from the COVID-19 pandemic is significantly associated with the drop in China’s composite index, but this impact varies by sectors. Simultaneously, the higher uncertainty due to COVID-19 is significantly associated with greater volatility in stock returns for both the composite index and sector indices.
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<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
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<dc:date>2021-01-01T00:00:00Z</dc:date>
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<title>COVID-19 and the Chinese economy: impacts, policy responses and implications</title>
<link>https://hdl.handle.net/2123/25253</link>
<description>COVID-19 and the Chinese economy: impacts, policy responses and implications
Liu, Kerry
COVID-19, the disease caused by novel coronavirus SARS-CoV-2, has greatly affected financial markets, economies and societies worldwide. This study focuses on China and examines a series of issues including: the impact of COVID-19 on the Chinese economy, China’s policy responses to this shock such as fiscal, monetary and institutional measures, and implications such as the nature, gains and costs of China’s policy responses. This study also explores problems that need to be answered in the future. In view of the importance of China in the world regarding the size of its economy, its contribution to world growth, and its increasing influence, this study makes timely and important contributions to policy makers and investors around the world.
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<pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
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<dc:date>2021-01-01T00:00:00Z</dc:date>
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