ArticleEnvironmental science and pollution research international2021
Investigating the dynamic relationships between credit supply, economic growth, and the environment: empirical evidence of sub-regional economies in Sub-Saharan Africa.
Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Agricultural carbon footprints, renewable energy and sustainable development in Asia.Scientific reports · 2025Article
- Carbon Neutrality in the Middle East and North Africa: The Roles of Renewable Energy, Economic Growth, and Government Effectiveness.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Sub-Saharan Africa (SSA) is considered the most vulnerable to challenges emanating from climate changes. A number of factors notably accelerated changes in growth influence SSA environment. Linking financial sector within growth and environmental outcomes has been the focus of policy makers and researchers. This study investigated the dynamic relationships between credit supply, economic growth, and the environment from the perspectives of the four sub-regional economies (Central, East, Southern, and West African regions) in SSA over the period 1990-2018. In addition, the study tested Environmental Kuznets Curve hypothesis across sub-regions. We employed panel vector autoregressive (panel VAR) model in a generalized method of moment framework to investigate the topic. The panel VAR results revealed that (i) economic growth negatively influence on carbon emissions of Central African countries but not in the East, Southern and West African sub-regions, (ii) credit supply had significantly positive influence on carbon emissions and economic growth of Central and East African sub-regions but negative influence on carbon emissions and economic growth West African sub-regions in SSA, and (iii) carbon emissions had significantly negatively influence on credit supply of East and West African sub-regions. The granger causality results revealed bidirectional causal links between credit supply and carbon emissions, economic growth, and credit supply in the Central and East African sub-regions, while most of the relationships were unidirectional. The impulse response function revealed that the impact of one variable on another vary throughout the periods and across sub-regions. Similarly, the elasticity of the variables to each other varies across sub-regions over the period studied. EKC hypothesis was validated in East African sub-region but was rejected in Central (u-shape relationship), Southern, and West African sub-regional economies indicating variations in growth and environmental outcomes among the sub-regional economies. Specific sub-regional policy recommendations are discussed.
Indexed as
Identifiers
32975749What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.