English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Sustainable energy (SE) transition and environmental quality have become a predominant part of integral policy worldwide. Besides, economic development policies at global level are being reformulated to make sure that energy supplies are reliable and have the tendency to protect environment. Although, economies are participating in activities which can help to fulfill overarching goals but developing economies specifically face challenges due to high dependency on coal consumption. The article, thereby, intends to explore the role of green financial innovation, eco-financing, carbon taxes, and economic openness on the SE transition in Vietnam. The study also checks the role of inflation and industrialization on the SE transition as control variables. The article also used Dynamic Auto-regressive Distributed Lags (DARDL) to test the connection among the variables. The outcome indicated that green financial innovation, eco-financing, carbon taxes, economic openness, inflation, and industrialization have a positive and significant linkage with the SE transition in Vietnam. These outcomes provide guidelines to policymakers in establishing new policies regarding SE transition.

economic research-ekonomska istraživanja

Dynamic association of green financial innovation, eco-financing, carbon tax, economic openness, and sustainable energy transition in Vietnam: fresh evidence using DARDL approach