Impact of Population Aging on Carbon Emission in China: A Panel Data Analysis

Weidong Li, Xin Qi and Xiaojun Zhao
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Weidong Li: School of Economics & Management, Beijing Jiaotong University, Beijing 100044, China
Xin Qi: School of Economics & Management, Beijing Jiaotong University, Beijing 100044, China
Xiaojun Zhao: School of Economics & Management, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2018, vol. 10, issue 7, 1-13

Abstract: The impact of population structure on carbon emission has always been a key area of research in modern society. In this paper, we propose a new expanded STIRPAT model and panel co-integration method to analyze the relationship between population aging and carbon emission, based on the provincial panel data in China from 1999 to 2014. Empirical results show that there exists a significant inverted U-shaped curve between the population aging and carbon emission. There also exist regional discrepancies, where the impact of the population aging on carbon emission in the eastern region is significantly positive. By contrast, a negative relationship arises in the central and western regions. Finally, several suggestions for low carbon development are provided.

Keywords: population aging; carbon emission; panel data analysis; co-integration analysis; STIRPAT model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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