Thai University RankingsRESEARCH RADAR
← Back to research database
มีศักยภาพระดับโลก

Balancing economic growth and environmental sustainability through e-government and green policies

IMPACT SIGNAL86/100
01

Information from the abstract

Achieving environmental sustainability while sustaining economic growth has become an urgent global policy priority, particularly as governments face increasing pressure to reduce greenhouse gas emissions and accelerate the green transition. Digitalization of the government sector and green policies can play a vital role in balancing economic growth and environmental sustainability. However, the empirical analysis in this regard is in its early phases, leaving a significant gap in the literature . This analysis aims to fill this gap by analyzing the influence of e-government, green policies, and economic growth on environmental sustainability. To estimate the short- and long-run relationships among e-government, green policies, economic growth, and environmental sustainability, we employ the environmental CS-ARDL model. The results of the CS-ARDL indicate a beneficial impact of digital governance on environmental quality in the long run. Moreover, the stringency of environmental policies improves environmental sustainability in the short and long-run by controlling greenhouse gas emissions. Nonetheless, economic growth and natural resource rents do not significantly influence greenhouse gas emissions. In the short-run, most of the factors do not significantly influence greenhouse gas emissions.

02

Why this record is monitored

This record has an Impact Signal of 86/100 based on recency, source, collaboration, and bibliographic signals. It prioritizes monitoring and is not a judgment of research quality.

Related topics: E-Government and Public Services · Sustainability and Climate Change Governance · Sustainable Development and Policies

03

Thai researcher and institutional participation

Chanyanan Somthawinpongsai · Shinawatra University

04

Data limitations

This page is a bibliographic record based on abstract-level information, not a full analysis or quality assessment. Verify the DOI and original article before citation.