Kc Samir, Lutz Wolfgang
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU), International Institute for Applied Systems Analysis, Schlossplatz 1, 2361 Laxenburg, Austria.
Glob Environ Change. 2017 Jan;42:181-192. doi: 10.1016/j.gloenvcha.2014.06.004.
This paper applies the methods of multi-dimensional mathematical demography to project national populations based on alternative assumptions on future, fertility, mortality, migration and educational transitions that correspond to the five shared socioeconomic pathways (SSP) storylines. In doing so it goes a significant step beyond past population scenarios in the IPCC context which considered only total population size. By differentiating the human population not only by age and sex-as is conventionally done in demographic projections-but also by different levels of educational attainment the most fundamental aspects of human development and social change are being explicitly addressed through modeling the changing composition of populations by these three important individual characteristics. The scenarios have been defined in a collaborative effort of the international Integrated Assessment Modeling community with the medium scenario following that of a major new effort by the Wittgenstein Centre for Demography and Global Human Capital (IIASA, OEAW, WU) involving over 550 experts from around the world. As a result, in terms of total world population size the trajectories resulting from the five SSPs stay very close to each other until around 2030 and by the middle of the century already a visible differentiation appears with the range between the highest (SSP3) and the lowest (SSP1) trajectories spanning 1.5 billion. The range opens up much more with the SSP3 reaching 12.6 billion in 2100 and SSP1 falling to 6.9 billion which is lower than today's world population.
本文运用多维数学人口统计学方法,基于与五个共享社会经济路径(SSP)故事情节相对应的未来生育、死亡、移民和教育转变的替代假设,对各国人口进行预测。这样做比政府间气候变化专门委员会(IPCC)以往仅考虑总人口规模的人口情景有了显著进步。通过不仅按年龄和性别(这是人口预测中的常规做法)对人口进行区分,还按不同教育程度水平进行区分,人类发展和社会变革的最基本方面通过对按这三个重要个体特征划分的人口构成变化进行建模而得到明确体现。这些情景是国际综合评估建模界共同努力确定的,中等情景遵循了维特根斯坦人口与全球人力资本中心(IIASA、奥地利科学院、维也纳经济大学)的一项重大新举措,该举措有来自世界各地的550多名专家参与。结果,就世界总人口规模而言,五个SSP产生的轨迹在2030年左右之前彼此非常接近,到本世纪中叶,已经出现明显分化,最高轨迹(SSP3)和最低轨迹(SSP1)之间的差距达到15亿。随着SSP3在2100年达到126亿,SSP1降至69亿(低于当今世界人口),差距进一步扩大。