820 research outputs found

    The gender wealth gap by household head in Vietnam

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    While the gender income gap has been examined extensively, the gender wealth gap has largely been ignored, especially for emerging markets such as Vietnam. The lack of serious analysis has caused great concern for practitioners and policymakers as public policy targeting the inequality in income and wealth across genders has not achieved their desired outcomes. Previous studies on gender in emerging markets have focused on income rather than wealth. This paper provides a comprehensive review and insightful policy recommendations on the important issue. Using data from Vietnam's Household Living Standard Survey (VHLSS), the paper examines the gender wealth inequality for sole-head families and partner-head families in Vietnam in 2016, the latest year for which data are available. In addition, the paper extends the Machado-Mata decomposition technique based on the Oaxaca-Blinder decomposition, which was developed for quantile regressions, to examine the relationship across the distributions of wealth accumulation. The empirical findings from the paper indicate that, among partnered heads, female-head families experienced a larger gap of wealth accumulation. At the lower quantiles of wealth accumulation, the gender wealth gap is primarily associated with different characteristics for both sole and partner-head households. At the median and upper tails of the distribution of wealth accumulation, gender differences in endowments (such as education level and living area) are the main determinants in explaining the wealth gap. Given the empirical findings in the paper, policy implications emerge for the Vietnam Government to consider policies targeting a support for females as female-head families appear to be poorer than their male-head counterparts in terms of wealth.</p

    Heterogenous scaling in the inter-event time of on-line bookmarking

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    In this paper, we study the statistical properties of bookmarking behaviors in Delicious.com. We find that the inter-event time (τ) distributions of bookmarking decay in a power-like manner as τ increases at both individual and population levels. Remarkably, we observe a significant change in the exponent when the inter-event time increases from the intra-day range to the inter-day range. In addition, the dependence of the exponent on individual activity is found to be different in the two ranges. Instead of monotonically increasing with activity, the inter-day exponent peaks around 3. These results suggest that the mechanisms driving human actions are different in the intra-day and inter-day ranges. We further show that the global distributions of less active users are closer to an exponential distribution than those of more active users. Moreover, a universal behavior in the inter-day range is observed by considering the rescaled variable τ/left angle bracketτright-pointing angle bracket. Finally, the possible causes of these phenomena are discussed

    Looking back to look forward: Setting future research agenda for international business in textiles and clothing industry

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    © 2019 Jungseok Research Institute of International Logistics and Trade All rights reserved. Since its development by Tinbergen (1962), the gravity model of international trade has widely been applied to analyse the effect of various factors on trade relationships between countries. Past studies on trade gravity vary not only in the mix of model variables but also in how they have come into the analysis. This study reviews existing literature on bilateral trade with an aim to identify influential predictors such as changes of trade policy and national development strategy and highlight important yet understudied factors such as transport and logistics infrastructure, and sustainable development. To demonstrate the needs to examine these critical factors across industry sectors, the study presents the case of textiles and clothing (T&C) production and trade between China and its trading partners as an illustration. Through the literature review, it shows how the gravity model can be applied to address current issues in international trade arena such as the potential trade war between the US and China, China\u27s Belt and Road Initiative (BRI), and other important factors shaping global T&C trade. This study offers future research directions for analysis of global trade in the T&C industry and contributes to the wider literature of international business and trade

    What are the opportunities for manufacturing in the “one belt one road” initiative? The case of Hong Kong’s textiles and clothing sector

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    The One Belt, One Road (hereafter OBOR) initiative is a development strategy launched by China in 2015. Its aim is to increase economic co-operation among countries along the China’s Silk Road Economic Belt and 21st Century Maritime Silk Road that connect Asia, Europe and Africa. As one of China’s important economic drivers, Hong Kong’s anticipated gains taking part in this initiative are substantial. This is particularly true for companies in the textiles and clothing (T&C) sectors, as the OBOR initiative offers investment opportunities in developing low-cost production bases in developing countries and promotes global trade. The main objective of this paper is twofold. First, it investigates how Hong Kong can strengthen its “superconnector” role, facilitating sustainable trade and development in the T&C industries among some OBOR countries. Specific measures are identified so that T&C companies in Hong Kong can establish and facilitate technological upgrades and transformation to potential production facilities in some developing countries under the OBOR initiative. This would contribute to the sustainable development of the T&C sectors in Hong Kong. Second, the study extends the gravity trade model to analyze the development of T&C trade patterns between Hong Kong and OBOR countries. Especially it covered some of the key factors not considered in previous studies, such as Logistics Performance Index (LPI), demographical factors, and those related to the business environment and policies. The analysis covers the impacts of country-specific, social, economic and supply chain factors on T&C trade. Based on the results, recommendations are provided to address how Hong Kong helps to facilitate trade and development of the T&C sectors under the OBOR initiative

    A Reduce Identical Composite Event Transmission Algorithm for Wireless Sensor Networks

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    Abstract: In this paper, a Reduce Identical Composite Event Transmission (RICET) algorithm is proposed to solve the problem of detecting composite events in wireless sensor networks. The RICET algorithm extends the traditional data aggregation algorithm to detect composite events, and this algorithm can eliminate redundant transmission and save power consumption, thereby extending the lifetime of the entire wireless sensor network. According to the experimental results, the proposed algorithm not only reduces power consumption by approximately 64.78% and 62.67%, but it also enhances the sensor node&apos;s lifetime by up to 8.97 times compared with some traditional algorithms

    Introductory Notes to Algebraic Statistics

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    These are the notes of a short course on algebraic statistics, a new discipline across the fields of statistical modeling and computational commutativa algebra. The basics of the theory are provided together with brief reference to applications to design of experiments, to exponential and graphical models, and to computational biology

    Switch activation of PI-PLC downstream signals in activated macrophages with wortmannin

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    AbstractPhosphatidylinositol (4,5)-bisphosphate (PtdIns(4,5)P2) has been known to serve as a substrate for phosphatidylinositol 3-kinase (PI3K) and phosphoinositide-specific phospholipase C (PI-PLC), which can produce PtdIns(3,4,5)P3 and inositol 1,4,5-trisphosphate (Ins(1,4,5)P3) and diacylglycerol (DAG), respectively. In this study, we elucidated the role of PI-PLC during the LPS-activated mouse macrophages RAW264.7 treated with PI3K inhibitor wortmannin. First, wortmannin treatment enhanced Ins(1,4,5)P3 production and iNOS expression in LPS-activated macrophages. Inhibition of PI3K by p85 siRNA also showed an enhancement of iNOS expression. On the other hand, overexpression of PI3K by ras-p110 expression plasmid significantly decreased iNOS expression in LPS-activated macrophages. In addition, overexpression of wild-type or dominant-negative Akt expression plasmid did not affect the iNOS expression in LPS-activated macrophages. Second, treatment of PI-PLC inhibitor U73122 reversed the enhancement of iNOS expression, the increase of phosphorylation level of ERK, JNK and p38, and the increase of AP-1-dependent gene expression in wortmannin-treated and LPS-activated macrophages. However, NF-κB activity determined by EMSA assay and reporter plasmid assay did not change during LPS-activated macrophages with or without wortmannin. We propose that the inhibition of PI3K by wortmannin in mouse macrophages enhances the PI-PLC downstream signals, and subsequently increases the LPS induction of iNOS expression independently of Akt pathway
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