Vietnam Academy of Social Sciences

About: Vietnam Academy of Social Sciences is a education organization based out in Hanoi, Vietnam. It is known for research contribution in the topics: Vietnamese & Poverty. The organization has 228 authors who have published 222 publications receiving 1690 citations. The organization is also known as: VASS.

Land accumulation in the Mekong Delta of Vietnam: a question revisited

Abstract: Land accumulation in the Mekong Delta of Vietnam is a reality that has been observed and debated for more than two decades. This article re-explores features of this phenomenon today by analysing data of a rural household survey conducted in September 2014 in Trần Giang and An Giang provinces. The article argues that the process of land accumulation during the post-reform transition in the Mekong Delta is determined by both land- and non-land-productive assets, and has effectively led to an increasing differentiation within the peasant class.

Elaborating a people-centered approach to understanding sustainable livelihoods under climate and environmental change: Thang Binh District, Quang Nam Province, Vietnam

Abstract: This paper explores the maintenance of livelihoods under climate, environmental, and economic development pressures, through the case of Thang Binh District in Quang Nam Province, Vietnam. Within widespread recognition of the need to link sustainable livelihoods approaches with climate change adaptation, there is growing awareness of the importance of people-centered approaches which keep the diverse experience, capabilities, and knowledges of the most vulnerable at the heart of sustainable livelihoods thinking. In response, this paper explores the conditions for changes in modes of livelihoods in a case study area where top-down strategies for sustainable livelihoods are met with residents’ diverse experiences of vulnerability, and where climate and environmental changes shape residents’ relations with the landscape. The research is undertaken via interviews with residents, farmers/fishers, and local government officials. Our study finds that whilst government-led initiatives for sustainable livelihoods are welcomed in the locality, inflexible policies can make it challenging for the most vulnerable people to access support. Moreover, residents see the capacity to live with and respond to extreme weather events as a critical component of maintaining a sustainable livelihood. Our findings reinforce international literature, showing that ‘the poor’ are not a homogenous category, and illustrate the importance of attention to the smallest levels of government who are tasked with putting sustainable livelihoods initiatives into practice in relation to people’s daily lives.

Vietnamese treebank construction and entropy-based error detection

Abstract: Treebanks, especially the Penn treebank for natural language processing (NLP) in English, play an essential role in both research into and the application of NLP. However, many languages still lack treebanks and building a treebank can be very complicated and difficult. This work has a twofold objective. Firstly, to share our results in constructing a large Vietnamese treebank (VTB) with three levels of annotation including word segmentation, part-of-speech tagging, and syntactic analysis. Major steps in the treebank construction process are described with particular regard to specific Vietnamese properties such as lack of word delimiter and isolation. Those properties make sentences highly syntactically ambiguous, and therefore it is difficult to ensure a high level of agreement among annotators. Various studies of Vietnamese syntax were employed not only to define annotations but also to systematically deal with ambiguities. Annotators were supported by automatic labelling tools, which are based on statistical machine learning methods, for sentence pre-processing and a tree editor for supporting manual annotation. As a result, an annotation agreement of around 90 % was achieved. Our second objective is to present our method for automatically finding errors and inconsistencies in treebank corpora and its application to the construction of the VTB. This method employs the Shannon entropy measure in a manner that the more reduced entropy the more corrected errors in a treebank. The method ranks error candidates by using a scoring function based on conditional entropy. Our experiments showed that this method detected high-error-density subsets of original error candidate sets, and that the corpus entropy was significantly reduced after error correction. The size of these subsets was only about one third of the whole set, while these subsets contained 80---90 % of the total errors. This method can also be applied to languages similar to Vietnamese.

Factors Associated with Substance Use and Sexual Behavior among Drug Users in Three Mountainous Provinces of Vietnam

Abstract: Due to their geographical characteristics, the mountainous areas of Vietnam are particularly vulnerable to illicit drug use. Drug users in remote areas are also more likely to engage in risky sexual behaviors. This study aimed to describe the prevalence and characteristics of substance use and sexual behaviors and explored their related factors among newly admitted drug users in three mountainous provinces of Vietnam. A cross-sectional study was conducted on 300 newly-admitted drug users registering for Methadone Maintenance Treatment (MMT) at 6 clinics in three provinces: Dien Bien, Lai Chau and Yen Bai from October 2014 to December 2015. Information about the socio-demographic characteristics, history of substance use, and sexual behaviors were collected. The multivariate logistic regression model was used to identify potential predictors of four outcomes, which included: drug injection, re-use of needles, using condoms during the last time of having sex, and having sexual intercourse with female sex workers. The proportion of injecting drug users was 68.3%; of those 9% never re-used needles. Of note, 69% of those who reported having sex with female sex workers in the last month did not use condoms. Regression models showed that those who injected drugs and had health problems in last 30 days had greater odds of having sex with female sex workers. Drug users in mountainous settings acknowledged the high prevalence of human immunodeficiency virus (HIV)-related risk behaviors and a demand for physical and psychological care. Scaling up MMT services is key to approaching this high-risk group; however, at the same time, comprehensive harm-reduction interventions, counseling, and health care services should also be made accessible and effective in this setting.

Productivity analysis for Vietnam’s textile and garment industry

Abstract: The study uses firm-level panel data to study the technical efficiency performance of Vietnam’s textile and garment firms in the period 1997-2000, as well as its determinants. The model used is that of Battese and Coelli [1995]. The average estimated technical efficiency of the two subsectors is relatively high. In the textile subsector, medium-old, South-based, private, export-oriented, and highly equipped firms are found to be more technically efficient than those with differing characteristics. In the garment subsector, large or old-medium, south-based, and high external capital firms have higher technical efficiency. Meanwhile, small, old, and highly equipped firms have lower technical efficiency than firms with other characteristics. The total factor productivity (TFP) picture of the textile subsector is mixed, whereas the TFP growth of the garment subsector is positive, although this growth decreases. JEL classification: O47, O33