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DOI Prefix: 10.47001/IRJIET

Projection of Total Fertility Rate (TFR) in China Using an Artificial Intelligence Technique

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweTatenda. A. CHIHOHOIndependent Health Economist, ZimbabweThabani NYONISAGIT Innovation Center, Harare, Zimbabwe

Vol 5 No 8 (2021): Volume 5, Issue 8, August 2021 | Pages: 167-170

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 14-09-2021

doi Logo doi.org/10.47001/IRJIET/2021.508033

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Abstract
China is the most populous country in the world and continues to record an annual population growth of approximately 6-7 million. In this research article, the ANN approach was proposed to analyze TFR in China. The employed annual data covers the period 1960-2018 and the out-of-sample period ranges over the period 2019-2030. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting TFR in China. The results of the study indicate that annual total fertility rates in China are likely to be around 1.7 births per woman over the out-of-sample period. Therefore, the Chinese government is encouraged to continue with its strict population control policy.
Keywords

ANN, Forecasting, Total fertility rate (TFR).


Citation of this Article

Dr. Smartson. P. NYONI, Tatenda. A. CHIHOHO, Thabani NYONI, “Projection of Total Fertility Rate (TFR) in China Using an Artificial Intelligence Technique” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 8, pp 167-170, August 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.508033

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