TY - JOUR
T1 - Pathways for regions to achieve carbon emission peak
T2 - New insights from the four economic growth poles in China
AU - Hu, Yu Jie
AU - Duan, Fali
AU - Wang, Honglei
AU - Li, Chengjiang
AU - Zhang, Rui
AU - Tang, Bao Jun
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2024/1/10
Y1 - 2024/1/10
N2 - Regional synergy is critical to achieving High Quality Development (HQD) and reducing emissions in China. Economic growth poles (EGPS), namely Beijing-Tianjin-Hebei, the Yangtze River Delta, Guangdong-Hong Kong-Macao, and Cheng-Yu, are typical examples of regional synergy in China. It is critical to explore whether the pulling power of the EGPS to other regions can accelerate China's carbon peaking. First, this study applies the Miller-Round model to measure the spillover effects of the EGPS and selects the radiation-driven areas. Second, based on the environmental Kuznets curve hypothesis, a panel smoothing transformation model is applied to explore the relationship between regional HQD and carbon emissions. Finally, under different scenarios, the inter-regional spillover effect is used to explore the path to achieving the carbon emissions peak. The results show an inverted U-shaped relationship between carbon emissions and HQD. Additionally, with the spillover pull of the EGPS, the peak carbon emission time of all provinces is earlier by 1–6 years in different scenarios, and it can promote Ningxia, Qinghai, Gansu, Guizhou to achieve a carbon peak by 2030. However, the pulling effects of Shanxi, Shaanxi, Jilin, and Guangxi require further improvement. Therefore, the policy implications of increasing inter-regional production efficiency, improving innovation levels, and using renewable energy are proposed to improve the level of HQD, thus achieving a carbon peak. Moreover, improving the industrial linkage between the EGPS and other regions would also be effective. The industrial structure promotes the cultivation of the EGPS in Cheng-Yu and strengthens regional integration in the western region.
AB - Regional synergy is critical to achieving High Quality Development (HQD) and reducing emissions in China. Economic growth poles (EGPS), namely Beijing-Tianjin-Hebei, the Yangtze River Delta, Guangdong-Hong Kong-Macao, and Cheng-Yu, are typical examples of regional synergy in China. It is critical to explore whether the pulling power of the EGPS to other regions can accelerate China's carbon peaking. First, this study applies the Miller-Round model to measure the spillover effects of the EGPS and selects the radiation-driven areas. Second, based on the environmental Kuznets curve hypothesis, a panel smoothing transformation model is applied to explore the relationship between regional HQD and carbon emissions. Finally, under different scenarios, the inter-regional spillover effect is used to explore the path to achieving the carbon emissions peak. The results show an inverted U-shaped relationship between carbon emissions and HQD. Additionally, with the spillover pull of the EGPS, the peak carbon emission time of all provinces is earlier by 1–6 years in different scenarios, and it can promote Ningxia, Qinghai, Gansu, Guizhou to achieve a carbon peak by 2030. However, the pulling effects of Shanxi, Shaanxi, Jilin, and Guangxi require further improvement. Therefore, the policy implications of increasing inter-regional production efficiency, improving innovation levels, and using renewable energy are proposed to improve the level of HQD, thus achieving a carbon peak. Moreover, improving the industrial linkage between the EGPS and other regions would also be effective. The industrial structure promotes the cultivation of the EGPS in Cheng-Yu and strengthens regional integration in the western region.
KW - Carbon emission peak
KW - Economic growth poles
KW - Environmental Kuznets curve
KW - Miller-Round model
KW - Panel smoothing transformation model
KW - Spillover effect
UR - http://www.scopus.com/inward/record.url?scp=85174854722&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2023.167979
DO - 10.1016/j.scitotenv.2023.167979
M3 - Article
C2 - 37875202
AN - SCOPUS:85174854722
SN - 0048-9697
VL - 907
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 167979
ER -