A detailed understanding of households' shock-coping capacity is needed to design appropriate social safety net programs and interventions. We use a 2-year panel dataset from rural Cambodia to seek ...answers to the following research questions: (i) are rural households forced to reduce their consumption due to shocks? and (ii) what are the factors affecting households' choice of shock-coping strategies in response to shocks? The results of econometric models reveal that most covariate shocks have significant and negative effects on household consumption. In particular, total consumption expenditure and food consumption expenditure are negatively affected by floods, whereas household education expenditure is negatively affected by livestock diseases. These shocks also force households to use coping strategies of selling durable assets and extracting natural resources. Although droughts appear not to significantly affect household consumption, these shocks push households into using child labor, selling durable assets or extracting natural resources. Household consumption is shown to be not significantly affected by health shocks. Borrowing and receiving assistance from friends and relatives are identified as major coping strategies in response to health shocks. Our findings call for assistance programs to support households in preventing and mitigating the effects of floods, droughts and livestock diseases.
•Impacts of multiple shocks on household consumption and their coping strategies are investigated.•Food consumption is negatively affected by floods, education expenditure is negatively affected by livestock diseases.•Covariate shocks force households to adopt harmful strategies such as selling asset or extracting natural resources.•Households are insured against health shock by using risk-sharing strategies such as borrowing and receiving assistance.
This study uses the data of 1912 and 1815 rural households surveyed in 2016 and 2017, respectively in three provinces of Thailand to examine the factors affecting the decision of rural households to ...use the internet and the impacts of internet use on household income and poverty. Results from a probit model show that the decision of rural households to use the internet is positively associated with the education level of the household head, household size, labour share, farmland, and household productive assets, and the number of enterprises with at least nine employees in the village. But it is negatively associated with age of household head and share of male members in household. Results from a heteroscedasticity-based instrumental variable regression show that internet use for productive purposes increases household income, promotes development of non-farm sectors, and reduces the extraction of and reliance on natural resources. However, results from an unconditional quantile regression show that better-off households benefit relatively more from internet use than worse-off households. These findings indicate a positive income effect of internet use for productive purposes but also raise a concern of increasing income inequality among rural populations from internet development.
This paper investigates energy transition, energy poverty and energy inequality in Vietnam employing a longitudinal dataset of a nationally representative household survey. We use the data on ...residential energy expenditure of more than 9,000 households over the period 2004–2016. We find a transition from traditional energy to modern energy but this transition varies across regions, between ethnic and welfare groups and between rural and urban population. The poor and ethnic minority households still rely heavily on traditional energy sources such as coal and biomass to meet their energy demands. Electricity poverty has decreased but energy-cost poverty has increased. In addition, energy inequality tends to decrease at a more significant rate than income and consumption inequalities. We propose a national program for energy poverty alleviation be established to devise policies to lower households’ energy costs. Further assistance to the poor and ethnic minority households is also recommended so that they can afford a higher level of electricity consumption.
Background This study aimed to measure the preferences for mental health support among health professionals, their willingness to support the mental health of colleagues and associated factors. ...Method A descriptive cross-sectional study was performed from August to October 2022 within five hospitals located in Hanoi, Vietnam. A total of 244 health professionals participated in the study. Data on socio-economic status, health and COVID-19-related characteristics, Depression Anxiety Stress Scale (DASS-21); and preferences for mental health support services were collected by using a structured self-reported questionnaire. Multivariate logistic regression models were utilized to identify associated factors with the demand for mental support services. Results 13.9%, 17.1% and 8.6% reported having at least mild depression, anxiety and stress, respectively. There 13.9% did not seek any mental health support during the COVID-19 pandemic. The most common support included talking with friends (52.9%), family (50.8%), colleagues (47.6%) and using social networks/Internet (43.5%). There 31.1% had been aware of mental health services, but only 18.0% used this service at least once. Regarding preferences, 47.3% had a demand for mental support services, and the most preferred service was providing coping skills (25.9%), followed by skills to support others against mental problems (22.2%). Major sources of support included psychiatrists (34.4%), colleagues (29.1%) and family (27.9%). The main preferred channels for support included telephone/mobile phone (35.7%) and Internet (20.9%). Only 12.3% were willing to provide mental support for colleagues during the pandemic. Age, education, perceived mental health status, ever seeking any mental service, and DASS-21 depression score were associated with demand for mental support services. Conclusion This study found a lack of awareness of mental health services for health professionals, as well as moderate levels of demand for this service in this population. Raising awareness and developing tailored mental health support services are important to enhancing the mental well-being of health professionals in Vietnam to prepare for the next pandemic.
The use of the internet is growing rapidly and has become an engine for economic development. However, few studies have examined the impact of internet use on agricultural production, and the results ...are not yet conclusive. Employing a dataset of more than 2000 observations in rural Vietnam, our study analyses the impact of internet use on agricultural productivity using the heteroscedasticity‐based instrument approach suggested by Lewbel, Journal of Business and Economic Statistics, 2012, 30, 67–80 and examines the heterogeneity and distribution of the impact using quantile regressions. Our results show that internet use has significant and positive effects on agricultural productivity. However, these effects are heterogeneous across population groups. The positive effects of internet use are stronger for households with a lower level of education, with a young and female head, and from ethnic minorities. The benefits are also found to be skewed towards the group of farmers at the bottom of the productivity distribution. Therefore, we propose facilitating the diffusion of the internet, since it not only boosts agricultural productivity, but also reduces productivity inequality. In addition, we recommend promoting rural education, supporting local markets, investing more in irrigation systems, and facilitating farm mechanisation as these factors are found to contribute to increasing agricultural productivity.
Abstract
Understanding the drivers and income effects of land rental markets is important to facilitate agricultural transformation. This study uses a panel dataset of rural households in Vietnam to ...examine the efficiency, equity and income effects of land rental markets. Probit and tobit models find that land is transferred from less to more efficient farmers and thus removing administrative barriers to the market operation is suggested. However, instrumental variable and quantile regressions show that the poor do not benefit significantly from participation in the markets. This highlights the need to take care of the poor to ensure that they are not left behind. Further analysis might focus on the efficiency thresholds that farmers switch from a market regime to another.
Eighteen active substances, including 17 organosulfur compounds found in garlic essential oil (T), were identified by GC–MS analysis. For the first time, using the molecular docking technique, we ...report the inhibitory effect of the considered compounds on the host receptor angiotensin-converting enzyme 2 (ACE2) protein in the human body that leads to a crucial foundation about coronavirus resistance of individual compounds on the main protease (PDB6LU7) protein of SARS-CoV-2. The results show that the 17 organosulfur compounds, accounting for 99.4% contents of the garlic essential oil, have strong interactions with the amino acids of the ACE2 protein and the main protease PDB6LU7 of SARS-CoV-2. The strongest anticoronavirus activity is expressed in allyl disulfide and allyl trisulfide, which account for the highest content in the garlic essential oil (51.3%). Interestingly, docking results indicate the synergistic interactions of the 17 substances, which exhibit good inhibition of the ACE2 and PDB6LU7 proteins. The results suggest that the garlic essential oil is a valuable natural antivirus source, which contributes to preventing the invasion of coronavirus into the human body.
In this study, biochar derived from spent coffee grounds (SCGB) was used to adsorb norfloxacin (NOR) in water. The biochar properties were interpreted by analysis of the specific surface area, ...morphology, structure, thermal stability, and functional groups. The impacts of pH, NOR, and ion's present on SCGB performance were examined. The NOR adsorption mode of SCGB is best suited to the Langmuir model (R2 = 0.974) with maximum absorption capacity (69.8 mg g−1). By using a Response Surface Method (RSM), optimal adsorption was also found at pH of 6.26, NOR of 24.69 mg L−1, and SCGB of 1.32 g L−1. Compared with biochars derived from agriculture such as corn stalks, willow branches, potato stem, reed stalks, cauliflower roots, wheat straw, the NOR adsorption capacity of SCGB was 2–30 times higher, but less than 3–4 times for biochars made from Salix mongolica, luffa sponge and polydopamine microspheres. These findings reveal that spent coffee grounds biochar could effectively remove NOR from aqueous solutions. Approaching biochar derived from coffee grounds would be a promising eco-friendly solution because it utilizes solid waste, saves costs, and creates adsorbents to deal with emerging pollutants like antibiotics.
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•Norfloxacin was removed using biochar derived from spent coffee grounds (SCGB).•pH significantly influenced the Norfloxacin (NOR) adsorption of the SCGB.•Based on Langmuir model, the maximum absorption capacity was 69.8 mg g−1 at pH 6.•The adsorption process was optimized by using the response surface methodology.•Optimal adsorption conditions were achieved at pH of 6.26 and SCGB of 1.32 g L−1.
•Optimizing process parameters and tip radius in dry milling of SKD61 steel.•Study of specific cutting energy, surface roughness, and material removal rate.•Relationships between parameters and ...performances using the Kriging models.•Multi-responses optimization with constrained surface roughness criteria.•Pareto fonts generated by archive-based micro genetic algorithm.
This work presents the highly nonlinear relationships between processing conditions and the specific cutting energy, arithmetical mean roughness, and means roughness depth with the aid of the Kriging models in the dry milling of SKD61 material. Four processing conditions include the depth of cut, spindle speed, feed rate, and nose radius. The aim of this paper is to optimize machining factors for decreasing specific cutting energy and improving the material removal rate while the roughness properties are predefined as constraints. An evolutionary algorithm entitled archive-based micro-genetic algorithm (AMGA) is applied to generate the optimal inputs. The results show that a set of feasible optimal solutions can be determined to observe a low specific cutting energy coupled with a smooth surface and high material removal rate. Furthermore, the hybrid approach comprising the Kriging model and AMGA can be considered as an intelligent approach for optimization of the milling processes.
As a generation of ‘digital natives,’ secondary students who were born from 2002 to 2010 have various approaches to acquiring digital knowledge. Digital literacy and resilience are crucial for them ...to navigate the digital world as much as the real world; however, these remain under-researched subjects, especially in developing countries. In Vietnam, the education system has put considerable effort into teaching students these skills to promote quality education as part of the United Nations-defined Sustainable Development Goal 4 (SDG4). This issue has proven especially salient amid the COVID−19 pandemic lockdowns, which had obliged most schools to switch to online forms of teaching. This study, which utilizes a dataset of 1061 Vietnamese students taken from the United Nations Educational, Scientific, and Cultural Organization (UNESCO)’s “Digital Kids Asia Pacific (DKAP)” project, employs Bayesian statistics to explore the relationship between the students’ background and their digital abilities. Results show that economic status and parents’ level of education are positively correlated with digital literacy. Students from urban schools have only a slightly higher level of digital literacy than their rural counterparts, suggesting that school location may not be a defining explanatory element in the variation of digital literacy and resilience among Vietnamese students. Students’ digital literacy and, especially resilience, also have associations with their gender. Moreover, as students are digitally literate, they are more likely to be digitally resilient. Following SDG4, i.e., Quality Education, it is advisable for schools, and especially parents, to seriously invest in creating a safe, educational environment to enhance digital literacy among students.
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