166 research outputs found

    Intragenerational and intergenerational mobility in Viet Nam

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    This study examines intragenerational and intergenerational mobility of employment and income in Viet Nam during 2004-2008 and 2010-2014. It finds rather high mobility across income quintiles. There was high mobility of individuals by occupational skills but less mobility by employment status and sectors. The upward mobility of occupation increased over time because of the increase in skilled occupation. The intergenerational elasticity of earnings for parents and children is estimated at around 0.36. The intergenerational elasticity is very similar for 2004 and 2014. Education plays an important role in improving intergenerational mobility. The intergenerational elasticity for children without education degrees and those with post-secondary degrees is 0.51 and 0.17, respectively. With a postsecondary degree, 80% of people whose parents are unskilled have skilled or nonmanual occupation

    Poverty and inequality maps for rural Vietnam: an application of small area estimation

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    The objective of the paper is to update the small area estimates of poverty and inequality for rural Vietnam. The new estimates of province and district level poverty for the year 2006, when combined with estimates available for 1999, allow for examination of how poverty has changed in rural Vietnam over the past seven years. The analysis finds that all provinces across the country experienced a noticeable reduction in rural poverty during the period 1999-2006. Some of the largest reductions in poverty are observed for provinces with poverty rates close to the national average. The poorest provinces have also experienced reductions in poverty, albeit at a more modest pace. Provinces and districts with lower levels of inequality in 2006 have seen above average poverty reductions. The authors consider both expenditure and income based measures of poverty and inequality, and find the results to be very similar.Rural Poverty Reduction,Regional Economic Development,Achieving Shared Growth,Services&Transfers to Poor

    Updating Poverty Maps of Vietnam using Vietnam Household Living Standard Survey 2002 and Population Census 1999

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    Poverty map is an important for poverty targeting in developing countries. In this study, we combine the Vietnam Household Living Standard Survey (VHLSS) in 2002 and the Population Census in 1999 to estimate poverty and inequality indexes of all provinces and districts of Vietnam in the year 2002.Poverty measurement, poverty mapping, agricultural census, household survey, Vietnam.

    Having an Older Brother Is Good or Bad for Your Education And Health? Evidence from Vietnam

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    This study examines the sex of the first-born children on education and health outcome of later born children. We do not find a significant effect of the sex of the first-born children on health utilization of later born children. However, we find some small effects of education. Once controlled for the number of sibling, having a firstborn brother reduces the probability of school enrolment and the probability of having good academic performance. Although the education outcomes of girls are higher than boys, this evidence still indicates gender bias in education investment of parents in their children in Vietnam

    Having an Older Brother Is Good or Bad for Your Education And Health? Evidence from Vietnam

    Get PDF
    This study examines the sex of the first-born children on education and health outcome of later born children. We do not find a significant effect of the sex of the first-born children on health utilization of later born children. However, we find some small effects of education. Once controlled for the number of sibling, having a firstborn brother reduces the probability of school enrolment and the probability of having good academic performance. Although the education outcomes of girls are higher than boys, this evidence still indicates gender bias in education investment of parents in their children in Vietnam

    Determining characteristics of teachers, students and educational managers in the 4.0 educational context

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    The objective of the study is to identify the characteristics of school administrators, teachers, and students in the 4.0 educational context. The study used research method from a qualitative perspective, using a basic qualitative research model. The study participants consisted of 10 lecturers selected according to the snowball method. The study data were collected through a semi-structured interview. Content analysis techniques will be used to analyze the data. We hope that the Education 4.0 revolution can be realized in Vietnamese education system. As a result, open access, personal education, idea transformation, digital integration into education, open learning environments, lifelong learning, discovery education, and multidisciplinary education are the main components of educations 4.0. It has been found that the key qualities expected from the students of Education 4.0 are interpersonal skills, technology skills, study skills, and personal style. The main qualities expected from the teachers in educations 4.0 are technology skills, instructional skills, lifelong learning skills, and personal style. Finally, the main qualities expected from school administrators in Education 4.0 are instructional skills, technology skills, learning skills

    Hartman-Stampacchia theorem, Gale-Nikaido-Debreu lemma, and Brouwer and Kakutani fixed-point theorems

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    This paper uses the Hartman-Stampacchia theorems as primary tool to prove the Gale-Nikaido-Debreu lemma. It also establishes a full equivalence circle among the Hartman Stampacchia theorems, the Gale-Nikaido-Debreu lemmas, and Kakutani and Brouwer fixed point theorems

    Driver Attention Tracking and Analysis

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    We propose a novel method to estimate a driver's points-of-gaze using a pair of ordinary cameras mounted on the windshield and dashboard of a car. This is a challenging problem due to the dynamics of traffic environments with 3D scenes of unknown depths. This problem is further complicated by the volatile distance between the driver and the camera system. To tackle these challenges, we develop a novel convolutional network that simultaneously analyzes the image of the scene and the image of the driver's face. This network has a camera calibration module that can compute an embedding vector that represents the spatial configuration between the driver and the camera system. This calibration module improves the overall network's performance, which can be jointly trained end to end. We also address the lack of annotated data for training and evaluation by introducing a large-scale driving dataset with point-of-gaze annotations. This is an in situ dataset of real driving sessions in an urban city, containing synchronized images of the driving scene as well as the face and gaze of the driver. Experiments on this dataset show that the proposed method outperforms various baseline methods, having the mean prediction error of 29.69 pixels, which is relatively small compared to the 1280Ă—7201280{\times}720 resolution of the scene camera

    Economic Inequality and Happiness: A quantitative study among the elderly in Rural Vietnam

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    By combining data from the 2011 Vietnam National Aging Survey and the 2011 Rural, Agricultural and Fishery Census, we examined whether expenditure inequality has any effect on happiness or life satisfaction among the elderly in rural Vietnam. We find that individuals who live in the communes with high inequality tend to self-report as being less happy, even after controlling for various individual and household attributes. The results are robust to the choice of inequality measures and the specification of econometric models. We also find that older rural people who are farmers or poor are more sensitive to inequality. Given that these people tend to be less happy than others, the result shows the risk that inequality further lowers their subjective well-being. The result supports the view that rural Vietnam is a less mobile society

    Screening genes encoding protein protease inhibitor from metagenome of sponge-associated microorganisms in Quang Tri sea, Vietnam

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    Using metagenomics-based method to isolate new compounds from the marine environment are getting more and more attention in recent years. Based on metagenome library, bioinformatics methods is a powerful tool for screening genes with new biological activities from uncultured microorganisms and become a breakthrough in research and application of biotechnology. In this study we selected and used the samples DNA QT2 which had high DNA content and purity from a total of 6 DNA samples of sponge-associated microorganisms collected in Quang Tri sea (Vietnam) for metagenomic sequencing (DNA concentration is 202.5 ng, A260/ A280 value is 1.80). 16S rRNA metagenomic sequencing data of QT2 produced 44,117,722 reads, which were assembled into 120,236 contigs. ORF prediction using Prodigal produced 386,416 ORFs. Functional annotation was conducted based on 7 different databases (NR, COG, CAZy, Swissprot, GO, KEGG, Pfam), and there are 266,553 genes were annotated using Swiss-Prot. In addition, based on the obtained metagenomic data, 50 complete genes encoding protease inhibitor proteins were revealed and among them, 28 genes encoding protein ( 50%) belonged to the serine protease inhibitor family, and 22 genes genes encoding belonged to the Inter-alpha-trypsin inhibitor group. NCBI BLAST screening results that these proteins had higher 50% identity to protease inhibitors.
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