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The changing population age structure has a significant influence on the economy, society, and numerous other aspects of a country. This paper has innovatively applied the method of compositional data forecasting for the prediction of population age changes of the young (aged 0–14), the middle-aged (aged 15–64), and the elderly (aged older than 65) in China, India, and Vietnam by 2030 based on data from 1960 to 2016. To select the best-suited forecasting model, an array of data transformation approaches and forecasting models have been extensively employed, and a large number of comparisons have been made between the aforementioned methods. The best-suited model for each country is identified considering the root mean squared error and mean absolute percent error values from the compositional data. As noted in this study, first and foremost, it is predicted that by the year 2030, China will witness the disappearance of population dividend and get mired in an aging problem far more severe than that of India or Vietnam. Second, Vietnam’s trend of change in population age structure resembles that of China, but the country will sustain its good health as a whole. Finally, the working population of India demonstrates a strong rising trend, indicating that the age structure of the Indian population still remains relatively “young”. Meanwhile, the continuous rise in the proportion of elderly population and the gradual leveling off growth of the young population have nevertheless become serious problems in the world. The present paper attempts to offer crucial insights into the Asian population size, labor market and urbanization, and, moreover, provides suggestions for a sustainable global demographic development. [ABSTRACT FROM AUTHOR]

Background: Research capacity is scarce in low- and middle-income country (LMIC) settings. Social determinants of health research (SDH) is an area in which research capacity is lacking, particularly in Asian countries. SDH research can support health decision-makers, inform policy and thereby improve the overall health and wellbeing of the population. In order to continue building this capacity, we need to know to what extent training exists and how challenges could be addressed from the perspective of students and staff. This paper aims to describe the challenges involved in training scholars to undertake research on the SDH in four Asian countries - China, India, Oman and Vietnam.Methods: In-depth interviews were conducted with research scholars, research supervisors and principal investigators (n = 13) at ARCADE partner institutions, which included eight universities and research institutes. In addition, structured questionnaires (n = 70) were used to collect quantitative data relating to the courses available, teaching and supervisory capacity, and related issues for students being trained in research on SDH. Simple descriptive statistics were calculated from the quantitative data and thematic analysis applied to the qualitative data.Results: We identified a general lack of training courses focusing on SDH. Added to this, PhD students studying related areas reported inadequate supervision, with limited time allocated to meetings and poor interpersonal communication. Supervisors cited interpersonal communication problems and student lack of skills to perform high quality research as challenges to research training. Further challenges reported included a lack of research funding to include SDH-related topics. Finally, it was suggested that there was a need for institutions to define clear and appropriate standards regarding admission and supervision of students to higher education programs awarding doctoral degrees.Conclusions: There are gaps in training for research on the SDH at the surveyed universities and research institutes, which are likely to also be present in other Asian countries and their higher education institutions. Some of the barriers to high quality research and research training can be addressed by improved training for supervisors, clearly defined standards of supervision, finances for student stipends, and increased use of information and communication technology to increase access to teaching materials. Increased opportunities for online learning could be provided. [ABSTRACT FROM AUTHOR]

This study compares living standards in China, India and Vietnam using the recent multidimensional approach. A distinguishing feature of this study is the use of unit record datasets containing household-level information on access to a wide range of dimensions. The study uses the methodology of principal component analysis to measure household wealth. The wealth index is then used to examine the distribution of deprivation and poverty by wealth percentiles. The study distinguishes between multidimensional deprivation and multidimensional poverty and compares the living standards in these countries based on both measures. This paper also presents comparative evidence on the percentage contribution to total deprivation by the various dimensions in each country, and reports several differences between China, India and Vietnam. [ABSTRACT FROM AUTHOR]