Measuring the impacts of the two-child policy on industrial structure and economic growth in china using a CGE model

Min Jiang and Euijune Kim

Journal of Asian Economics, 2024, vol. 92, issue C

Abstract: Facing the challenge of population aging and labor force shrinking, the Chinese government has been trying to reform its family planning policy since 2015. This paper analyzes the impacts of China’s Two-child policy on economic growth and industrial structure from 2020 to 2060 using a dynamic Computable general equilibrium (CGE) model. This paper constructs an effective labor input index accounting for changes in educational attainment and labor force participation rates by age and sex to simulate the effects of the demographic changes on labor supply and economic growth, rather than using simple working-age measures. This paper sets two policy scenarios, the One-child policy and the Two-child policy, to simulate the changes in the employment structure, industrial structure, and main macroeconomic indicators under different population policies. The main finding is that under the Two-child policy, the average GDP growth rate is expected to be 0.3% and 1.0% points higher than the One-child policy in the period of 2015–2030, and 2045–2060; the employment growth rates of the manufacturing and service industries are higher than that under the One-child policy; the shift of industrial structure from manufacturing to service industry will be slightly slower than the One-child policy. The positive impacts of the Two-child policy on China’s economic growth are not significant in the short run. From the perspective of the quantity, structure and quality of labor supply, this paper reveals how a more relaxed family planning policy will affect labor supply, and ultimately affect economic structure and growth in a long run.

Keywords: China; Two-child policy; Population; Effective Labor Supply; CGE Model (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:asieco:v:92:y:2024:i:c:s1049007824000113

DOI: 10.1016/j.asieco.2024.101716

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