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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]

This article explores the relationship between internal migration and economic growth and development in Asia, concentrating on four countries: China, India, Vietnam and Indonesia. Levels of internal migration in Asia are high and rising. Despite being negatively regarded by many policy makers, internal migration can contribute to economic growth and poverty reduction. For example, remittances sent home by internal migrants can reduce poverty at the household level, stimulate economic growth in both the receiving and sending areas and reduce social inequalities. Until now, the potential of internal migration has been severely limited by policies designed to discourage it, However, policy makers are now beginning to recognise the benefits, In order to maximise these benefits, the article argues, effective partnerships between governments, civil society, the private sector and donors will have to be formed. Better data on the various Factors stimulating and affecting internal migration will also be needed. [ABSTRACT FROM AUTHOR]