Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/317360 
Year of Publication: 
2019
Citation: 
[Journal:] Journal of Business Economics and Management (JBEM) [ISSN:] 2029-4433 [Volume:] 20 [Issue:] 5 [Year:] 2019 [Pages:] 939-957
Publisher: 
Vilnius Gediminas Technical University, Vilnius
Abstract: 
This paper studies the dynamic impacts of financial development, human capital, and economic growth on CO2 emission intensity in China for the period 1978-2015, with a structural breakpoint in 1992, by employing an autoregressive distributed lag (ARDL) approach. The estimations show that there exists a long-run cointegration linkage among the variables, with three main findings. First, financial openness measured by net FDI inflows can significantly reduce CO2 emission intensity in both the short-term and the long-term, whereas the effects of both financial scale and financial efficiency are limited and insignificant. Second, there exists an inverted N-shaped relationship between human capital and CO2 emission intensity: improving human capital first decreases CO2 emission intensity (before 1992), then increases it in the short-run (after 1992), and, finally, lessens it in the long-run. Last, raising per capita income can also significantly lower CO2 emission intensity in the long-run. Accordingly, some policy implications are also discussed.
Subjects: 
CO2 emission intensity
financial development
human capital
economic growth
ARDL
China
JEL: 
D82
D83
D86
I11
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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