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urbanizationeconomicgrowthandcarbondioxideemissionsinchinaapanelcointegrationandcausalityanalysis
Liu Yansui; Yan Bin; Zhou Yang
2016
Source Publicationjournalofgeographicalsciences
ISSN1009-637X
Volume26Issue:2Pages:131
AbstractElucidating the complex mechanism between urbanization, economic growth, carbon dioxide emissions is fundamental necessary to inform effective strategies on energy saving and emission reduction in China. Based on a balanced panel data of 31 provinces in China over the period 1997-2010, this study empirically examines the relationships among urbanization, economic growth and carbon dioxide (CO_2) emissions at the national and regional levels using panel cointegration and vector error correction model and Granger causality tests. Results showed that urbanization, economic growth and CO_2 emissions are integrated of order one. Urbanization contributes to economic growth, both of which increase CO_2 emissions in China and its eastern, central and western regions. The impact of urbanization on CO_2 emissions in the western region was larger than that in the eastern and central regions. But economic growth had a larger impact on CO_2 emissions in the eastern region than that in the central and western regions. Panel causality analysis revealed a bidirectional long-run causal relationship among urbanization, economic growth and CO_2 emissions, indicating that in the long run, urbanization does have a causal effect on economic growth in China, both of which have causal effect on CO_2 emissions. At the regional level, we also found a bidirectional long-run causality between land urbanization and economic growth in eastern and central China. These results demonstrated that it might be difficult for China to pursue carbon emissions reduction policy and to control urban expansion without impeding economic growth in the long run. In the short-run, we observed a unidirectional causation running from land urbanization to CO_2 emissions and from economic growth to CO_2 emissions in the eastern and central regions. Further investigations revealed an inverted N-shaped relationship between CO_2 emissions and economic growth in China, not supporting the environmental Kuznets curve (EKC) hypothesis. Our empirical findings have an important reference value for policy-makers in formulating effective energy saving and emission reduction strategies for China.
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/101485
Collection中国科学院地理科学与资源研究所
Affiliation中国科学院地理科学与资源研究所
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Liu Yansui,Yan Bin,Zhou Yang. urbanizationeconomicgrowthandcarbondioxideemissionsinchinaapanelcointegrationandcausalityanalysis[J]. journalofgeographicalsciences,2016,26(2):131.
APA Liu Yansui,Yan Bin,&Zhou Yang.(2016).urbanizationeconomicgrowthandcarbondioxideemissionsinchinaapanelcointegrationandcausalityanalysis.journalofgeographicalsciences,26(2),131.
MLA Liu Yansui,et al."urbanizationeconomicgrowthandcarbondioxideemissionsinchinaapanelcointegrationandcausalityanalysis".journalofgeographicalsciences 26.2(2016):131.
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