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2001年至2061年印度潜在的人口红利:使用频谱模型的宏观模拟预测

Potential demographic dividend for India, 2001 to 2061: a macro-simulation projection using the spectrum model.

作者信息

Jain Neha, Goli Srinivas

机构信息

Department of Economics, Indian Institute of Foreign Trade (IIFT), New Delhi, India.

Australia India Institute New Generation Network Scholar, The University of Western Australia (UWA), Perth, Australia.

出版信息

SN Soc Sci. 2022;2(9):171. doi: 10.1007/s43545-022-00462-0. Epub 2022 Aug 22.

Abstract

This paper projects potential demographic dividend for India for the period from 2001 to 2061 by using simulation modelling software, Spectrum 5.753 which integrates demographic and socio-economic changes. The simulation results highlight that a combination of favourable demographic changes and the right socio-economic policy scenario can provide a maximum demographic dividend to India. Two key findings, after checking their robustness, from the simulation modelling are: First, the effective demographic windows of opportunity for India is available for the period between 2011 and 2041, giving India roughly 30 years of demographic bonus. It is the period where the maximum of the first demographic dividend can be reaped before the ageing burden starts. Second, favourable demographic changes alone has potential to provide a demographic dividend in terms of GDP per capita over 165,000 rupees which is equivalent to an additional 43 percentage for 'demographic-emphasis scenario' (Rs. 548,600) compared to 'demographic as-usual scenario' (Rs. 382,750) in 2061. However, reaping demographic dividend is conditional on supporting socio-economic policy environment in terms of investment in human capital and decent employment opportunities.

摘要

本文通过使用整合了人口与社会经济变化的模拟建模软件Spectrum 5.753,预测了印度在2001年至2061年期间的潜在人口红利。模拟结果表明,有利的人口变化与正确的社会经济政策情景相结合,可为印度带来最大的人口红利。在检验了其稳健性之后,模拟建模得出的两个关键发现是:第一,印度有效的人口机会窗口出现在2011年至2041年期间,这使印度大约有30年的人口红利期。这是在老龄化负担开始之前能够收获最大首轮人口红利的时期。第二,仅有利的人口变化就有可能带来人均国内生产总值超过165,000卢比的人口红利,这相当于在2061年,与“人口常规情景”(382,750卢比)相比,“人口重点情景”(548,600卢比)额外增加43%。然而,收获人口红利取决于在人力资本投资和体面就业机会方面支持性的社会经济政策环境。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f22/9395952/065431f1f974/43545_2022_462_Fig1_HTML.jpg

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