1833
Views
498
Downloads
0
Crossref
N/A
WoS
0
Scopus
N/A
CSCD
In trying to explain why Hong Kong of China ranks highest in life expectancy in the world, we review what various experts are hypothesizing, and how data science methods may be used to provide more evidence-based conclusions. While more data become available, we find some data analysis studies were too simplistic, while others too overwhelming in answering this challenging question. We find the approach that analyzes life expectancy related data (mortality causes and rate for different cohorts) inspiring, and use this approach to study a carefully selected set of targets for comparison. In discussing the factors that matter, we argue that it is more reasonable to try to identify a set of factors that together explain the phenomenon.
In trying to explain why Hong Kong of China ranks highest in life expectancy in the world, we review what various experts are hypothesizing, and how data science methods may be used to provide more evidence-based conclusions. While more data become available, we find some data analysis studies were too simplistic, while others too overwhelming in answering this challenging question. We find the approach that analyzes life expectancy related data (mortality causes and rate for different cohorts) inspiring, and use this approach to study a carefully selected set of targets for comparison. In discussing the factors that matter, we argue that it is more reasonable to try to identify a set of factors that together explain the phenomenon.
S. H. Preston, The changing relation between mortality and level of economic development, International Journal of Epidemiology, vol. 36, no. 3, pp. 484–490, 2007.
Z. Chen, Y. Ma, J. Hua, Y. Wang, and H. Guo, Impacts from economic development and environmental factors on life expectancy: A comparative study based on data from both developed and developing countries from 2004 to 2016, International Journal of Environmental Research and Public Health, vol. 18, no. 16, p. 8559, 2021.
Y. Wu, K. Hu, Y. Han, Q. Sheng, and Y. Fang, Spatial characteristics of life expectancy and geographical detection of its influencing factors in China, International Journal of Environmental Research and Public Health, vol. 17, no. 3, p. 906, 2020.
E. Arroaga, Measuring and explaining the change in life expectancies, Demography, vol. 21, no. 1, pp. 83–96, 1984.
D. A. Jdanov, V. M. Shkolnikov, A. A. van Raalte, and E. M. Andreev, Decomposing current mortality differences into initial differences and differences in trends: The contour decomposition method, Demography, vol. 54, pp. 1579–1602, 2017.
W. Lutz and E. Kebede, Education and health: Redrawing the Preston curve, Population and Development Review, vol. 44, no. 2, pp. 343–361, 2018.
R. Chetty, M. Stepner, S. Abraham, S. Lin, B. Scuderi, N. Turner, A. Bergeron, and D. Cutler, The association between income and life expectancy in the United States, 2001–2014, Jama, vol. 315, no. 16, pp. 1750–1766, 2016.
G. J. Xu, K. Xu, and Q. Q. Lu, Does the extension of life expectancy promote economic growth—An Empirical Analysis Based on 121 economies, (in Chinese), Economic Theory and Business Management, vol. 41, no. 3, pp. 97–112, 2021.
N. Fergany, On the human survivorship function and life table construction, Demography, vol. 8, no. 3, pp. 331–334, 1971.
The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).