EconPapers    
Economics at your fingertips  
 

Relationship between economic growth and SO2 emissions - based on the PSTR model

Wu Ke ()
Additional contact information
Wu Ke: Department of Economics, Shanghai University, Shanghai, China; Address: No.20, Chengzhong Rd., Jiading District, Shanghai, China

HOLISTICA – Journal of Business and Public Administration, 2019, vol. 10, issue 2, 137-156

Abstract: In this paper, we used the panel smooth transition model (PSTR) to study the nonlinear relationship between sulfur dioxide emissions and economic growth in the three regions of China’s eastern, middle and western regions, based on panel data from 31 provinces and autonomous regions in China from 2005 to 2017. And calculated the elasticity of the impact of total export-import volume and urbanization rate on emissions. The empirical results indicate that economic development and sulfur dioxide emissions are positively correlated in the three regions of East, Middle and West. In the eastern region, when the economic scale is lower than the threshold value, it has a negative impact on SO2 emissions; but when it is higher than the threshold value, it has a positive impact on SO2 emissions, and the smoothing rate between the two regime is slow. The per capita GDP in the middle and western regions is weakly positively correlated with SO2 emissions. When the economic scale reaches the threshold value, its positive impact on SO2 emissions will increase, and economic development will further increase emissions.

Keywords: Sulfur dioxide emissions; Economic growth; PSTR; Nonlinear (search for similar items in EconPapers)
JEL-codes: D4 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/hjbpa-2019-0022 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:hjobpa:v:10:y:2019:i:2:p:137-156:n:11

DOI: 10.2478/hjbpa-2019-0022

Access Statistics for this article

HOLISTICA – Journal of Business and Public Administration is currently edited by Adriana Grigorescu

More articles in HOLISTICA – Journal of Business and Public Administration from Sciendo
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:hjobpa:v:10:y:2019:i:2:p:137-156:n:11