School of Business, Xinyang Normal University, Xinyang 464000, China.
School of Business Administration, Zhongnan Uninersity of Economics and Law, Wuhan 430073, China.
Int J Environ Res Public Health. 2022 Dec 1;19(23):16093. doi: 10.3390/ijerph192316093.
The question of how to proactively respond to population aging has become a major global issue. As a country with the largest elderly population in the world, China suffers a stronger shock from population aging, which makes it more urgent to transform its industrial and economic development model. Concretely, in the context of the new macroeconomic environment that has undergone profound changes, the shock of population aging makes the traditional industrial structure upgrading model (driven by large-scale factor inputs, imitation innovation and low-cost technological progress, and strong external demand) more unsustainable, and China has an urgent need to transform it to a more sustainable one. Only with an in-depth analysis of the influence mechanism of population aging on the upgrading of industrial structure can we better promote industrial structure upgrading under the impact of population aging. Therefore, six MSVAR models were constructed from each environmental perspective based on data from 1987 to 2021. The probabilities of regime transition figures show that the influencing mechanisms have a clear two-regime feature from any view; specifically, the omnidirectional environmental transition occurs in 2019. A further impulse-response analysis shows that, comparatively speaking, under the new environment regime the acceleration of population aging (1) aggravates the labor shortage, thus narrowing the industrial structure upgrading ranges; (2) has a negative, rather than positive, impact on the capital stock, but leads to a cumulative increase in industrial structure upgrading; (3) forces weaker technological progress, but further leads to a stronger impact on the industrial structure upgrading; (4) forces greater consumption upgrading, which further weakens industrial structure upgrading; (5) narrows rather than expands the upgrading of investment and industrial structures; and (6) narrows the upgrading of export and industrial structures. Therefore, we should collaboratively promote industrial structure upgrading from the supply side relying heavily on independent innovation and talent, and the demand side relying heavily on the upgrading of domestic consumption and exports.
如何积极应对人口老龄化问题已成为全球重大议题。中国作为世界上老年人口最多的国家,受到人口老龄化的冲击更为强烈,这就使得转变产业和经济发展模式更为迫切。具体而言,在宏观经济环境发生深刻变化的背景下,人口老龄化的冲击使得传统产业结构升级模式(以大规模要素投入、模仿创新和低成本技术进步、以及强劲外部需求为驱动)更加难以为继,中国亟须向更为可持续的模式转变。只有深入分析人口老龄化对产业结构升级的影响机制,才能更好地在人口老龄化冲击下推动产业结构升级。因此,本文从每个环境视角构建了六个 MSVAR 模型,基于 1987 年至 2021 年的数据。体制转变概率图显示,从任何视角来看,影响机制都具有明显的两阶段特征;具体来说,2019 年发生了全方位环境转变。进一步的脉冲响应分析表明,相对而言,在新的环境体制下,人口老龄化的加速(1)加剧了劳动力短缺,从而缩小了产业结构升级的范围;(2)对资本存量产生负面影响,而非正面影响,但会导致产业结构升级的累积增加;(3)迫使技术进步减弱,但进一步导致对产业结构升级的更强影响;(4)迫使消费升级,但进一步削弱产业结构升级;(5)缩小而非扩大投资和产业结构升级;以及(6)缩小出口和产业结构升级。因此,我们应该协同合作,从供给侧大力依靠自主创新和人才,从需求侧大力依靠国内消费和出口升级,共同推动产业结构升级。