Abstract

The population is a constituent element of human society and is one of the indicators of a country's comprehensive strength. The quantity and quality of population directly determine the level of development of a country or region. Too small a population makes a country or region lack the motivation to develop, and too large a population strains local resources. Therefore, the state introduces relevant policies to regulate the population quantity in China. The analysis of the factors influencing the change in population size helps assess the current state of development and is essential for planning its future prosperity. This paper analyzes the impact of social-economics factors on population size change in Heilongjiang province since China's reform and opening up using double-logarithmic model (DLM) estimated by Elastic Net estimation (ENE). Meanwhile, this paper provides some policy recommendations to promote the growth of population size in Heilongjiang Province.

Highlights

  • According to the China Economic Trends Report, China's economy has transformed from high-speed development to high-quality development

  • The results showed that the natural geographical factors determined the basic situation of population distribution, GDP per capita, and total foreign investment were the fundamental drivers of population migration, and the relaxed fertility policy contributed to the rapid http://jmr.ccsenet.org Journal of Mathematics Research

  • This paper developed a double-logarithmic model (DLM) based on Elastic Net estimation (ENE) to study the impact of social-economic factors on population change in Heilongjiang province since the reform and opening up

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Summary

Introduction

According to the China Economic Trends Report, China's economy has transformed from high-speed development to high-quality development. An analyzes of the characteristics of population size and density growth in Beijing and Tianjin in China, as well as in some cities in Hebei province, reveals that natural conditions and economic factors are responsible for the differences in population in the region. Social development, and financial level are important reasons for the population growth shift in the Yangtze River Delta of China (Yan, Sun, Wang & Xu, 2020). Geographic information system spatial analysis method was used to analyze the factors influencing the population distribution in terms of topographic relief, GDP per capita and total foreign investment in Vietnam. The results showed that the natural geographical factors determined the basic situation of population distribution, GDP per capita, and total foreign investment were the fundamental drivers of population migration, and the relaxed fertility policy contributed to the rapid http://jmr.ccsenet.org

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