The Role of Green Credit in Promoting Sustainable Development in Vietnam: Evidence from Quantile-on-Quantile Regression

Climate change is no longer a challenge for a single nation but a responsibility for the global community. With the looming threat of the "brown economy," sustainable development (SD) has become essential for economies worldwide. Green credit, which includes funding, lending, and other credit methods that account for environmental impact and conservation, plays a crucial role in promoting SD. By adopting green credit, banks can reduce risks associated with polluting industries while supporting sustainability goals. This study examines the relationship between green credit, including credit for agriculture, forestry, and fisheries, and international financial flows for renewable energy in Vietnam from 2012 to 2021. Using Quantile-on-Quantile Regression (QQR), we assess how green credit influences SD at various quantiles, providing a detailed understanding of its impact over time. The results show a positive relationship between international renewable energy support and SD at lower quantiles (0.05 to 0.55), which weakens at higher quantiles. Similarly, credit for agriculture is positively correlated with SD at quantiles 0.05 to 0.3, but this relationship diminishes at higher quantiles. Based on these findings, we recommend that Vietnamese authorities focus on improving capital efficiency and strengthening the oversight of renewable energy projects. Additionally, increasing CA in rural areas with lower SD levels will help promote sustainability in these regions.

Authors

Institutions

Publication Details

Journal
Research on World Agricultural Economy
Published
2024-12-24
DOI
https://doi.org/10.36956/rwae.v6i1.1399
Citations
13
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
14.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Green Credit in Promoting Sustainable Development in Vietnam: Evidence from Quantile-on-Quantile Regression

Nguyễn Quốc Huy, Dinh Le Quoc, Hai Nguyen Van
13 citations
Research on World Agricultural Economy
Energy, Environment, Economic Growth
14.68
article

The Role of Green Credit in Promoting Sustainable Development in Vietnam: Evidence from Quantile-on-Quantile Regression

Nguyễn Quốc Huy, Dinh Le Quoc, Hai Nguyen Van
article en
13 citations

Abstract

Climate change is no longer a challenge for a single nation but a responsibility for the global community. With the looming threat of the "brown economy," sustainable development (SD) has become essential for economies worldwide. Green credit, which includes funding, lending, and other credit methods that account for environmental impact and conservation, plays a crucial role in promoting SD. By adopting green credit, banks can reduce risks associated with polluting industries while supporting sustainability goals. This study examines the relationship between green credit, including credit for agriculture, forestry, and fisheries, and international financial flows for renewable energy in Vietnam from 2012 to 2021. Using Quantile-on-Quantile Regression (QQR), we assess how green credit influences SD at various quantiles, providing a detailed understanding of its impact over time. The results show a positive relationship between international renewable energy support and SD at lower quantiles (0.05 to 0.55), which weakens at higher quantiles. Similarly, credit for agriculture is positively correlated with SD at quantiles 0.05 to 0.3, but this relationship diminishes at higher quantiles. Based on these findings, we recommend that Vietnamese authorities focus on improving capital efficiency and strengthening the oversight of renewable energy projects. Additionally, increasing CA in rural areas with lower SD levels will help promote sustainability in these regions.

Research on World Agricultural Economy
Lac Hong University (VN)
Zero hunger
Openalex Percentile: Top 2%
Energy, Environment, Economic Growth
14.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.