A PVAR dynamic correlation appraisal of China's carbon emissions in conjunction with economic growth and clean energy use

被引：21
作者：
Li, Wei [1 ,2 ]
Hao, Ni [1 ]
Lu, Can [1 ,2 ]
机构：
[1] North China Elect Power Univ, Sch Econ & Management, 689 Hua Dian Rd, Baoding 071003, Hebei, Peoples R China
[2] North China Elect Power Univ, Energy & Econ Dev & Philosophy & Social Sci Res Ba, 689 HuaDian Rd, Baoding 071003, Hebei, Peoples R China
来源：
RENEWABLE ENERGY | 2023年 / 219卷
关键词：
Clean energy use; Economic growth; Carbon emissions; Panel vector autoregression method; Dynamic correlation; RENEWABLE ENERGY; CO2; EMISSIONS; FINANCIAL DEVELOPMENT; PANEL COINTEGRATION; GREEN TECHNOLOGY; CONSUMPTION; IMPACT; COUNTRIES;
D O I：
10.1016/j.renene.2023.119484
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This study aims to explore the dynamic relationship among economic growth, clean energy, and carbon dioxide (CO2) emissions in China. The indicators of economic growth, clean energy, CO2 emissions, fixed assets in-vestment, and research and development intensity of 30 provinces and municipalities for the period of 2005-2019 in China have been investigated by Panel Vector Autoregression model (PVAR). To further explore regional differences, three types of regions were classified by K-means cluster analysis. The results show that clean energy has a positive impact on economic growth in China; Clean energy reduces CO2 emissions in Region II while others do not; Both fixed assets investment and research and development promote clean energy development; The dynamic relationship between the 5 indicators varies across regions. Various regions in China should combine their development characteristics and location advantages, increase capital investment and research and development input in clean energy, strengthen environmental regulations, and improve the energy consumption structure.
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页数：11
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