Participatory child poverty assessment in rural Vietnam

There are increasing calls for more child specific measures of poverty in developing countries and the need for such measures to be multi‐dimensional (that is not just based on income) has been recognised. Participatory Poverty Assessments (PPAs) are now common in international development research. Most PPAs have been undertaken with adults and there are still relatively few PPAs with children. The objective of the current study was to understand adults' and children's perceptions of the causes and consequences of child poverty in rural Vietnam using a variety of participatory methods. Poor children are perceived by poor children as those who lack basic needs such as food, clothes, and safe shelter. Poor children feel they do not receive enough attention from their parents, have to work and have no safe place to play.     

Penalized spline joint models for longitudinal and time-to-event data

The joint models for longitudinal data and time-to-event data have recently received numerous attention in clinical and epidemiologic studies. Our interest is in modeling the relationship between event time outcomes and internal time-dependent covariates. In practice, the longitudinal responses often show non linear and fluctuated curves. Therefore, the main aim of this paper is to use penalized splines with a truncated polynomial basis to parameterize the non linear longitudinal process. Then, the linear mixed-effects model is applied to subject-specific curves and to control the smoothing. The association between the dropout process and longitudinal outcomes is modeled through a proportional hazard model. Two types of baseline risk functions are considered, namely a Gompertz distribution and a piecewise constant model. The resulting models are referred to as penalized spline joint models; an extension of the standard joint models. The expectation conditional maximization (ECM) algorithm is applied to estimate the parameters in the proposed models. To validate the proposed algorithm, extensive simulation studies were implemented followed by a case study. In summary, the penalized spline joint models provide a new approach for joint models that have improved the existing standard joint models.     

Improved estimators for the location of double exponential distribution

In this paper, attention is focused on estimation of the location parameter in the double exponential case using a weighted linear combination of the sample median and pairs of order statistics, with symmetric distance to both sides from the sample median. Minimizing with respect to weights and distances we get smaller asymptotic variance in the second order. If the number of pairs is taken as infinite and the distances as null we attain the least asymptotic variance in this class of estimators. The Pitman estimator is also noted. Similarly improved estimators are scanned over their probability of concentration to investigate its bound. Numerical comparison of the estimators is shown.     

Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process

In this study, a new approach of machine learning (ML) models integrated with the analytic hierarchy process (AHP) method was proposed to develop a holistic flood risk assessment map. Flood susceptibility maps were created using ML techniques. AHP was utilized to combine flood vulnerability and exposure criteria. We selected Quang Binh province of Vietnam as a case study and collected available data, including 696 flooding locations of historical flooding events in 2007, 2010, 2016, and 2020; and flood influencing factors of elevation, slope, curvature, flow direction, flow accumulation, distance from river, river density, land cover, geology, and rainfall. These data were used to construct training and testing datasets. The susceptibility models were validated and compared using statistical techniques. An integrated flood risk assessment framework was proposed to incorporate flood hazard (flood susceptibility), flood exposure (distance from river, land use, population density, and rainfall), and flood vulnerability (poverty rate, number of freshwater stations, road density, number of schools, and healthcare facilities). Model validation suggested that deep learning has the best performance of AUC = 0.984 compared with other ensemble models of MultiBoostAB Ensemble (0.958), Random SubSpace Ensemble (0.962), and credal decision tree (AUC = 0.918). The final flood risk map shows 5075 ha (0.63%) in extremely high risk, 47,955 ha (5.95%) in high-risk, 40,460 ha (5.02%) in medium risk, 431,908 ha (53.55%) in low risk areas, and 281,127 ha (34.86%) in very low risk. The present study highlights that the integration of ML models and AHP is a promising framework for mapping flood risks in flood-prone areas.     

The type I distribution of the ratio of independent “Weibullized” generalized beta-prime variables

In this paper we introduce the distribution of , with c >  0, where X _i , i =  1, 2, are independent generalized beta-prime-distributed random variables, and establish a closed form expression of its density. This distribution has as its limiting case the generalized beta type I distribution recently introduced by Nadarajah and Kotz (2004). Due to the presence of several parameters the density can take a wide variety of shapes.      

Techniques of Death: Buddhist Practice,Femininity and Self-Cultivation at the Last Stage of Life in Vietnam

This article explores how death is conceptualised by elderly lay Buddhist women in H? Chí Minh City (Vietnam). It explores the traits of a ‘good death’ which elderly laywomen wish to experience, and their dedicated practice of Buddhism to prepare themselves for a peaceful end stage of life. This article contends that, in fact, women’s perceptions of death speak to their desires to live a life with dignity and retain their full personhood and nurturing femininity which they have embodied throughout their adult lives even until their last moments. They pursue devotional practices to train their body and mind in order to prepare themselves for the critical moment of dying, believing that these self-cultivating practices will enable them to transcend physical suffering and mental confusion, and immediately move on to the next, better life.     

Lessons from the flipside: How do acquirers learn from divestitures to complete acquisitions?

We examine whether experience from prior divestitures is associated with higher completion likelihood in subsequent acquisitions. We argue that through divestitures, firms could extract meaningful knowledge that is helpful for completing their acquisitions, such as a general understanding of acquisition deal-making stages, and the stories and aims of the target in an M&A transaction. In addition, viewing divestitures as the flipside of acquisitions, we conjecture that the selling firm can observe how the divested component of their business is acquired, and vicariously learn from these observations. We also investigate the relative importance of learning from divestiture vis-à-vis acquisition experience in determining acquisition deal completion. Finally, we contend that the effect of learning from divestitures on acquisition deal completion depends on acquisition experience and deal value. We find evidence supporting our conjectures in a sample of 2164 M&A transactions from the worldwide computer and printing industries between 1991 and 2010.     

“I Am Tired But If I Don't Try to Have Sex,My Wife Will Think I've Been Fooling around in the City”: Work,Migration, and Sex Among Vietnamese Migrant Laborers

Mostly operating from a risk and risk-reduction paradigm, existing research on migrants in Vietnam tends to conceptualize sex and risky sexual behaviors as isolated life domains. This study begins to develop a contextually rich understanding of migrants’ sex lives by examining the relationships among sex, work, and the constant pendulum-like migrating movements of 23 Vietnamese married migrants in Hanoi and Ho Chi Minh City. Using data from in-depth interviews, it was found that most participants had no sex in the city; this was followed by visits to the home village, where they had sex with their spouses as often as possible to make up for the “long drought” in the city. Within this sexual schema, sex came secondary, and even peripherally, to migrants’ working lives; thus, exhaustion from work was cited by migrants as the overwhelming factor leading to their sexual problems. This study suggests that migrants’ intimate lives are more strongly linked to their working lives than has previously been recognized, and that their sexual behaviors should be viewed in tandem with the hardships of their working lives.     

Multidimensionl Poverty and The Role of Social Capital in Poverty Alleviation Among Ethnic Groups in Rural Vietnam: A Multilevel Analysis

This paper empirically examines the disparities over time across six dimensions of poverty (monetary, education, health, housing, basic services, and durable assets) between ethnic minority and majority households in rural Vietnam. Using the five-wave panel data of the Vietnam Access to Resources Household Survey (VARHS) 2008–2016, we observe improvements in most non-monetary dimensions of poverty for both ethnic groups, while the monetary dimension shows the highest degrees of deprivation and the lowest rate of decrease during the studied period. Health is the only dimension in which ethnic minority households are not only better off than those of majority households during the studied period, but also report improvement. We further explore the role of social capital in ethnic minorities and non-minorities at household and community levels in multiple dimensions of poverty by employing multilevel models. Our study reports the significant effects social capital have at the community level on reducing poverty in the monetary, education, housing, and basic services dimensions for ethnic minorities, while social capital at the household level shows significant effects on monetary, basic services, and durable assets. These findings indicate that policy makers ought to consider the role of social capital when designing poverty alleviation strategies for the country.

     

Drivers of Economic Reform in Vietnam's Provinces

Allowing provinces to find their own way forward was central to Vietnam's progress in institutional and economic development. This article examines who drives this process of economic reform and finds that, in those provinces making the most progress, the private sector played an important role, not against, but with government. Both national and foreign enterprises played a role, but small enterprises tended to be marginalised. Some of the best insights come from comparing provinces and observing how different alignments of interest influenced the reform process.