2019
DOI: 10.1007/s11356-019-06808-1
|View full text |Cite
|
Sign up to set email alerts
|

Trade openness, environmental regulation, and human capital in China: based on ARDL cointegration and Granger causality analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
12
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 37 publications
(14 citation statements)
references
References 63 publications
2
12
0
Order By: Relevance
“…It has been empirically tested that technological innovation in the energy sector could help in achieving sustainable environmental conditions with sustainable economic development. These empirical results are aligning with the studies of [33,34]. It is a matter of physical capital and human capital investments and policy, regulatory, R&D, and other stakeholders' support and involvement.…”
Section: Discussionsupporting
confidence: 80%
“…It has been empirically tested that technological innovation in the energy sector could help in achieving sustainable environmental conditions with sustainable economic development. These empirical results are aligning with the studies of [33,34]. It is a matter of physical capital and human capital investments and policy, regulatory, R&D, and other stakeholders' support and involvement.…”
Section: Discussionsupporting
confidence: 80%
“…Results reveal that the higher the amount of fiscal shelter in these economies, the more significant the deterioration in the environment and the lower it is for SDG achievement. These results are also consistent with (Liao et al, 2019) on the empirical review of Guangdong's province using panels of 21 cities from 2000 to 2016 and (Wen and Dai, 2020) for China's environmental and fiscal imbalances during 1990-2016. Thus, global leaders devoted their resources, time, and money to emphasize the relevance of fiscal imbalance in SDGs.…”
Section: Discussionsupporting
confidence: 85%
“…Based on Ma et al. [ 24 ] and Wen and Dai [ 71 ], environmental regulation E is measured from the effect of environmental regulations, mainly expressed as GDP/pollution emissions, GDP/energy input, etc. Here, GDP/CO 2 is adopted as the indicator of environmental regulations, denoted as ln E_CO 2 , and GDP/comprehensive pollution loss and GDP/energy input are used for the robustness test, denoted as Ln E_pul and ln E_energy respectively.…”
Section: Methodsmentioning
confidence: 99%