Abstract

Population flow can affect regional carbon emissions. Based on the analysis of the dual transmission mechanism of population flow and its effect on carbon emissions, this paper empirically studies the impact of population flow and other related factors on China's carbon emissions through panel econometric regression and heterogeneity analysis with fixed effect model. The results show that, firstly, in the long or short term, China's population flow can reduce the growth of carbon emissions. Secondly, the regional population aging and knowledge structure improvement caused by population flow are helpful to reduce carbon emissions, while the regional urbanization improvement caused by population flow is not significantly correlated with the growth of household miniaturization on carbon emissions. Thirdly, from the perspective of heterogeneous geographical divisions, population flow promotes the increase of carbon emissions in the northwest region of the Hu Huanyong Line (Hu Line), while it is opposite in the southeast region of Hu Line. Fourthly, China's consumption level, per capita GDP, energy intensity, and energy consumption structure have contributed to the growth of carbon emissions, while carbon intensity has a negative effect on carbon emissions. Finally, this paper puts forward relevant suggestions from the perspective of coordinating population policy and energy conservation and emission reduction policy.

Highlights

  • Population flow can influence the growth of regional carbon emissions

  • The population flow can directly bring about the change of regional population structure and lead to the spatial transfer of production and consumption, affecting the growth of regional carbon emissions

  • Based on the analysis of the dual transmission mechanism of the effect of population flow on carbon emissions through influencing population structure, this paper empirically analyzes the impact of population flow and other related factors on carbon emission by panel econometric model and heterogeneity analysis, using China's provincial panel data

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Summary

Introduction

This paper analyzes the dual transmission mechanism of population flow’s impact on population structure and carbon emission On this basis, it empirically studies the impact of population flow and other related factors on carbon emissions in China by using panel data of provinces and cities in China from 2005 to 2018 with panel econometric regression and heterogeneity analysis. Economic development level, population factor, technology level, urbanization, energy structure and industrial structure are considered to be the main factors driving the growth of carbon emissions (Li and Wu, 2019). On this basis, consumption, trade, employment and transportation are gradually introduced into the research on the impact of carbon emissions (Cui et al, 2020; Yang et al, 2019). Given that, monitoring and analyzing the impact of human factors such as population on carbon emissions has become an important research topic (Zhu et al, 2010)

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