Page 59 - 5th APA Conference Program Book Final

Abstract

The traditional measures of population ageing are based on the concept of chronological age and does not take
into account the increasing life expectancies. The present study re-evaluates demographic ageing in India, China,
Japan, Italy, Pakistan, Nepal, Bangladesh and Italy using prospective old- age thresholds (POAT) based on
remaining life expectancy (RLE) and compare it with OAT based on RLE 15. The study proposes an adjustment of
the RLE 15 measure, taking into account prospective age and the changing RLE over time, which is suitable for
cross-country comparison. The OATs using RLE 15 method revealed that it increased from approximately by 10
years from 1950-55 to 2015-20, except for Pakistan. Adjusting the thresholds using prospective age taking 1950-
55 as the base year and 65 years as the standard threshold during 1950-55, we compute the POATs over time till
2015-20. A significant increase in the threshold is indeed observed from 1905-55 to 2015-20. We estimate that in
1960-65 the prospective OAT was 67 for men and 66 for women, and is 73.5 for men and 73.2 for women in
2015-20. From the POATs it is observed that China and Bangladesh have reached near to Japan in 2015-20, of
about 77 years.

1302 A study of the spatial distribution of tertiary-educated populations in South
Korea and Taiwan using the LinkedIn advertising platform

2
1
1,3
Nayoung Heo , Hsin-Chieh Chang , Guy J. Abel
1 Asian Demographic Research Institute, Shanghai University, Shanghai, China. Fudan University, Shanghai,
2
3
China. Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/O¨ AW, WU), International
Institute for Applied Systems Analysis, Laxenburg, Austria
Categories

5. Population Mobility (Internal and International Migration, including Refugees) and Urbanization

Abstract

Previous studies on internal migration patterns of the tertiary-educated population tend to be based on traditional
migration data sources, such as census, surveys or population registers, and in European and North American
countries. In recent years, new data sources have emerged from social media that can potentially provide timely
estimates of migration. We utilize audience size data from the LinkedIn advertising platform to analyze the spatial
distribution of alumni from leading universities in South Korea and Taiwan. Data are first validated by comparing
against official data on the distribution of tertiary-educated populations. We then use a multi-level gravity model to
further test the plausibility of the LinkedIn data and compare the spatial characteristics of the alumni networks in
the two countries. In both countries, regions with large populations and universities located close to or in the same
region were associated with larger alumni populations. We find the data from the LinkedIn advertising platform
provide plausible insights into the spatial distributions of alumni networks. Similar data are not available from
conventional data sources in countries and could be of potential use in both countries where the demographic
futures could lead to the closure or reorganization of universities in the coming decades.

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