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International Journal of
            Population Studies                                                 Mortality shapes population age structures



              Figure  2 presents the evolution of two synthetic   than in Figure 1, but the general tendency is the same: there
            indicators of age structure: the average age of the Chinese   is an underlying “normal” value for each chosen indicator
            population, A (panels on the left), and the OADI (panels   (the standard one, with an asterisk). Shocks may, and
            on the right). Both indices were calculated twice: first   usually do, hit populations, driving the age structure and
            on the observed population (or projected one, for the   its indicators away from their usual shape and levels: be it
            years 2026 – 2051) and then on the standard (stationary)   a war, demographic transition, or economic crisis. In the
            population of the same period. Both indices are presented   following years, however, the effects of these shocks tend
            twice: as a time series (top panels) and as a scatter diagram   to be reabsorbed, and little by little, things tend to get back
            (bottom panels). In the latter case, the bisector is drawn;   to normal. However, the standard has changed because it is
            it represents the theoretical case when the two indexes   determined by the constantly evolving survival conditions.
            (observed and standard) give the same result.
                                                                 The same conclusions emerged from the analysis of
              A few insights can be learned from this example. First,   the  dissimilarity (ID)  index.  Firstly, it  should  be noted
            both structural measures convey the same message, and in   that it is always low: 23% in the worst year (1976), 16%
            the following sections, only the average age (A) is utilized.   on average over the past 70  years (1951 – 2021), and
            Second, the scatter point representation (bottom panels)   likely to be even lower in the future (12%; 2026 – 2051;
            saves space, which is useful when the dataset increases   Figure 3). This means that the share of Chinese who are
            (this type of representation is used in the next sections).   classified correctly by age (5-year age groups) using the
            With the omission of tags (for reasons of space), the time   corresponding stationary population (i.e., assuming that
            dimension is lost, but it can be imagined as a rightward   current mortality is the only force at play) is about 84% on
            movement because as time passes, survival conditions   average and never below 77%, even in the worst year. This
            improve, and this makes the standard (stationary)   means that all other factors combined (previous mortality,
            population older. Based on our hypothesis, this is the main   fertility,  and  migration)  compete  to  explain  only  about
            driving force behind population aging, and this is precisely   16% of the Chinese age structure on average.
            the third aspect that emerges from the Chinese example:
            empirical data evolved more or less in accordance with our   Figure 4 displays the observed and standard (stationary)
            expectations. In the Chinese case, to be sure, the difference   Chinese age structures in selected years. At all times, the
            between model predictions and observed data is larger   effects of past waves of fertility (high until the 1960s and

































            Figure 2. Structural indicators of the observed (or projected) population and the standard (stationary) population (*) of China, 1951 – 2051 (United Nations
            (2022).
            Note: Standard values [*] are calculated for the stationary population. Abbreviations: A: Average age of population (Equation V); OADI: Old-age
            dependency index (Equation IV).


            Volume 10 Issue 4 (2024)                        91                         https://doi.org/10.36922/ijps.377
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