Population Structure and Local Carbon Emission Reduction: Evidence from Guangdong, China

Fenghua Wen (), Zhanlin Sun and Yu Luo
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Fenghua Wen: School of Government, Central University of Finance and Economics, Beijing 100081, China
Zhanlin Sun: China Futures Association, Beijing 100032, China
Yu Luo: Zhoyu Design Group Co., Ltd., Changsha 410133, China

Sustainability, 2023, vol. 15, issue 5, 1-27

Abstract: Based on the data obtained on carbon emissions in Guangdong Province, China, from 1997 to 2019, this study focused on the relationship between energy consumption and population development in Guangdong Province. This study quantitatively analyzed the impact of different population structures and technological progress on carbon emissions in Guangdong Province by establishing an extended model of Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT). The results showed that the population size factor was not as good as the population structure factor for carbon emissions. In addition, different demographic factors affected carbon emissions differently with both positive and negative effects. Finally, relevant policy suggestions were proposed from the perspectives of encouraging the childbearing of appropriate-age residents, optimizing the population structure, reducing the separation of people and households, guiding residents to return to the traditional family model, guiding residents to live a low-carbon life, optimizing industrial institutions, and adjusting the energy consumption structure.

Keywords: population structure; carbon emissions; carbon peak; Guangdong; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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