Sustainable environment, energy and finance in China: evidence from dynamic modelling using carbon emissions and ecological footprints

被引：26

作者：

Ali, Rizwan ^{[1
]}

Rehman, Mubeen Abdur ^{[1
,2
]}

Rehman, Ramiz Ur ^{[1
,3
]}

Ntim, Collins G. ^{[4
]}

机构：

[1] Univ Lahore, Lahore Business Sch, Lahore, Pakistan

[2] ILMA Univ, Sch Business Adm, Karachi, Pakistan

[3] Sohar Univ, Fac Business, Sohar, Oman

[4] Univ Southampton, Southampton Business Sch, Southampton, Hants, England

来源：

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH | 2022年 / 29卷 / 52期

关键词：

Sustainable environment; Energy; Finance; Market capitalisation; CO2; emissions; Ecological footprint; D-ARDL; CO2; EMISSIONS; ECONOMIC-GROWTH; KUZNETS CURVE; EMPIRICAL-EVIDENCE; RENEWABLE ENERGY; DIOXIDE EMISSIONS; CONSUMPTION; COINTEGRATION; IMPACT; TRADE;

D O I：

10.1007/s11356-022-21337-0

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 investigates sustainable finance along with sustainable economic factors on both carbon emissions and ecological footprints in China. A novel Dynamic Autoregressive Distributed Lag technique is applied; results revealed sustainable finance exerts positive/negative influence on carbon emissions in the long and short run, respectively. Results are robust with ecological footprints that sustainable finance placed a lucrative cause to preserve the environment. Sustainable economic factors show a positive impact on carbon emissions in the long run, whilst economic growth, energy consumption and exports improve environmental quality. Conversely, in the short run, urbanisation supports the environment whilst economic development, energy use and exports exert a positive impact. In addition, this study suggests useful policy implications for the stakeholders.

引用

页码：79095 / 79110

页数：16

共 71 条

[1] Measuring the environmental sustainability performance of global supply chains: A multi-regional input-output analysis for carbon, sulphur oxide and water footprints [J].