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East Asian Economic Review最新文献

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The Environmental and Economic Impact of Trade between South Korea and the United State 韩国与美国之间贸易对环境和经济的影响
IF 0.8 Pub Date : 2024-03-31 DOI: 10.11644/kiep.eaer.2024.28.1.430
Tae-Jin Kim, N. Tromp
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引用次数: 0
International Transmission of Macroeconomic Uncertainty in China: A Time-varying Bayesian Global SVAR Approach 中国宏观经济不确定性的国际传播:时变贝叶斯全球 SVAR 方法
IF 0.8 Pub Date : 2024-03-31 DOI: 10.11644/kiep.eaer.2024.28.1.432
Wongi Kim
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引用次数: 0
Assessing the Economic Impact of Covid-19 through a Counterfactual Analysis 通过反事实分析评估 Covid-19 的经济影响
IF 0.8 Pub Date : 2024-03-31 DOI: 10.11644/kiep.eaer.2024.28.1.431
Hongjai Rhee
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引用次数: 0
The Structure and Evolution of Renewable Energy Trade Networks in the RCEP Region: Application of SNA Method RCEP 地区可再生能源贸易网络的结构与演变:国民账户体系方法的应用
IF 0.8 Pub Date : 2024-03-31 DOI: 10.11644/kiep.eaer.2024.28.1.429
Jinyan Tian, Qianli Wu, Congying Sun, Ziyang Liu
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引用次数: 0
The Impacts of Climate Variability on Household Consumption: Evidence Based on Village Weather Data in Indonesia 气候多变性对家庭消费的影响:基于印度尼西亚乡村气象数据的证据
IF 0.8 Pub Date : 2023-12-31 DOI: 10.11644/kiep.eaer.2023.27.4.425
Pratiwi Ira Eka, Bokyeong Park
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引用次数: 0
Business Cycle Synchronization between the European Union and Korea 欧盟与韩国的商业周期同步性
IF 0.8 Pub Date : 2023-12-31 DOI: 10.11644/kiep.eaer.2023.27.4.427
Jiyoun An, In Huh
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引用次数: 0
The Ebb and Flow of Regional Integration Vision in Asia-Pacific: From A Lens of Leaders’ Declarations over 30 Years 亚太地区一体化愿景的起伏:从领导人 30 年来的宣言透视
IF 0.8 Pub Date : 2023-12-31 DOI: 10.11644/kiep.eaer.2023.27.4.426
Jungmeen Suh
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引用次数: 0
Impact of Education on Multidimensional Poverty Reduction at the Post-Poverty Alleviation Era in Xinjiang 后扶贫时代新疆教育对多维扶贫的影响
Pub Date : 2023-09-30 DOI: 10.11644/kiep.eaer.2023.27.3.424
Jian Qiu, Hongsen Wang, Ailida Aikerbayr
The multidimensional poverty index is an indicator system established for defining and evaluating poverty, to understand poverty in dimensions beyond just monetary scarcity. Based on income, education, health, living standards, and social dimensions, this article measures and analyzes the level of multidimensional poverty in Xinjiang using the Alkire-Foster method, with cross-sectional data obtained from a 2022 survey. Probit model is constructed for regression analysis, further considering the impact of education on enhancing feasible capabilities and alleviating multidimensional poverty at the post-poverty alleviation era. The data shows that many people still face significant challenges from the perspective of multidimensional poverty; the decomposition results of each dimension show that education contributes more to the multidimensional poverty; the regression analysis results show that the higher the education level, the lower the multidimensional poverty; heterogeneity analysis revealed that the inhibitory effect of education on multidimensional poverty is greater for females than males, and the poverty reduction effect of education mainly concentrates on middle-aged and older individuals. This article is meaningful for exploring strategies to alleviate multidimensional poverty in ethnic minority regions in frontier areas in the new era, accelerating regional economic development, and achieving shared prosperity.
多维贫困指数是为定义和评估贫困而建立的指标体系,旨在从货币稀缺以外的维度理解贫困。本文基于收入、教育、健康、生活水平和社会维度,采用alkir - foster方法,利用2022年调查的横断面数据,对新疆多维贫困水平进行测度和分析。构建Probit模型进行回归分析,进一步考虑后扶贫时代教育对提升可行能力和减轻多维贫困的影响。数据显示,从多维贫困的角度来看,许多人仍然面临重大挑战;各维度的分解结果表明,教育对多维贫困的贡献更大;回归分析结果表明,教育水平越高,多维贫困率越低;异质性分析显示,教育对多维贫困的抑制作用女性大于男性,教育的减贫效应主要集中在中老年个体。本文对于探索新时期边疆民族地区如何减轻多维贫困,加快区域经济发展,实现共同繁荣具有重要意义。
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引用次数: 0
Changes in Time Preference Caused by the COVID-19 Pandemic COVID-19大流行导致的时间偏好变化
Pub Date : 2023-09-30 DOI: 10.11644/kiep.eaer.2023.27.3.422
Inyong Shin
This paper investigates the relationship between the spread of COVID-19 and time preference. In contrast to previous studies that compared time preferences before and during the pandemic, this study estimates time preferences during the COVID-19 period using eight surveys conducted over two years. Additionally, a regression analysis was conducted on the number of new COVID-19 cases and the time elapsed since the outbreak, with estimated time preference as the dependent variable. Despite a small sample size, statistically significant results were obtained, showing that as the number of new cases increased, time preference also increased. However, this effect diminished over time and disappeared by the end of 2021 in Japan. This may be due to the public’s growing familiarity with the risks of COVID-19 and the availability of vaccines and treatments. Despite a significant increase in new cases in 2022, time preference was lower than immediately after the outbreak, and this was reflected in private investments. Immediately after the outbreak of COVID-19, private investments decreased by 12% compared to the previous year, but the investments are returning in 2022 despite the surge in the number of cases. The trend of time preference explains the trend of Japanese private investments very well.
本文研究了COVID-19的传播与时间偏好的关系。与之前比较大流行之前和期间的时间偏好的研究相反,这项研究通过在两年多的时间内进行的八次调查来估计COVID-19期间的时间偏好。此外,以估计的时间偏好为因变量,对COVID-19新病例数和爆发后的时间进行回归分析。尽管样本量小,但获得了统计上显著的结果,表明随着新病例数量的增加,时间偏好也增加。然而,随着时间的推移,这种影响逐渐减弱,并在2021年底在日本消失。这可能是由于公众对COVID-19的风险以及疫苗和治疗方法的可用性越来越熟悉。尽管2022年新病例显著增加,但时间偏好低于疫情暴发后立即,这反映在私人投资上。2019冠状病毒病爆发后,私人投资与前一年相比下降了12%,但尽管病例数量激增,但投资在2022年仍在恢复。时间偏好的趋势很好地解释了日本私人投资的趋势。
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引用次数: 0
In-Sample and Out-of-Sample Predictability of Cryptocurrency Returns 加密货币回报的样本内和样本外可预测性
Pub Date : 2023-09-30 DOI: 10.11644/kiep.eaer.2023.27.3.423
Kyungjin Park, Hojin Lee
This paper investigates whether the price of cryptocurrency is determined by the US dollar index, the price of investment assets such gold and oil, and the implied volatility of the KOSPI. Overall, the returns on cryptocurrencies are best predicted by the trading volume of the cryptocurrency both in-sample and out-of-sample. The estimates of gold and the dollar index are negative in the return prediction, though they are not significant. The dollar index, gold, and the cryptocurrencies seem to share characteristics which hedging instruments have in common. When investors take notice of the imminent market risks, they increase the demand for one of these assets and thereby increase the returns on the asset. The most notable result in the out-of-sample predictability is the predictability of the returns on value-weighted portfolio by gold. The empirical results show that the restricted model fails to encompass the unrestricted model. Therefore, the unrestricted model is significant in improving out-of-sample predictability of the portfolio returns using gold. From the empirical analyses, we can conclude that in-sample predictability cannot guarantee out-of-sample predictability and vice versa. This may shed light on the disparate results between in-sample and out-of-sample predictability in a large body of previous literature.
本文研究了加密货币的价格是否由美元指数、黄金和石油等投资资产的价格以及韩国综合指数的隐含波动率决定。总体而言,加密货币的回报最好通过样本内和样本外的加密货币交易量来预测。对黄金和美元指数的预测在回报预测中是负的,尽管它们并不显著。美元指数、黄金和加密货币似乎具有对冲工具的共同特征。当投资者注意到即将到来的市场风险时,他们会增加对其中一种资产的需求,从而增加该资产的回报。样本外可预测性中最显著的结果是黄金价值加权投资组合收益的可预测性。实证结果表明,受限制的模型不能包含不受限制的模型。因此,无限制模型在提高使用黄金的投资组合收益的样本外可预测性方面具有重要意义。从实证分析中,我们可以得出样本内可预测性不能保证样本外可预测性的结论,反之亦然。这可能会揭示在大量以前的文献中样本内和样本外可预测性之间的不同结果。
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引用次数: 0
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East Asian Economic Review
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