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Financial development and macroeconomic sustainability: modeling based on a modified environmental Kuznets curve

Sustainability has become an important and widely applied concept in the environmental economics literature. Despite the numerous studies employing an environmental Kuznets curve (EKC), this model has been critiqued for its incompleteness. This article builds a modified EKC model to examine the contribution of financial development for achieving sustainable development in the case of 14 selected Middle East and North Africa (MENA) countries. Using the Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) estimators, our empirical results show that the EKC hypothesis is valid for per capita CO2 emissions and ecological footprint. The results provide evidence also of the presence of linear and non-linear relationships between financial development and non-sustainability and indicate that financial development is likely to have a small long-term impact on sustainable development. This suggests that current efforts aimed at protecting the environment and achieving sustainability will be ineffective given the extent of the problem.
- Vietnam National University, Hanoi Viet Nam
- Vietnam National University Viet Nam
- Qassim University Saudi Arabia
- Vietnam National University Viet Nam
- Qassim University Saudi Arabia
Financial development, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Sustainable development, Modified EKC-model, [SHS.ECO] Humanities and Social Sciences/Economics and Finance
Financial development, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Sustainable development, Modified EKC-model, [SHS.ECO] Humanities and Social Sciences/Economics and Finance
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).40 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
