This study aims to investigate the impact of green finance initiatives on achieving sustainable development goals in Jordan, with a specific focus on evaluating the effectiveness of green finance strategies in promoting environmental sustainability. The research applies the Autoregressive Distributed Lag (ARDL) method and assesses the connection of green finance, taken as the number of banks who increase the loan activity on ecology projects, and sustainable growth, given by the records of carbon releases. Relevant control variables involved in this consideration include income level, population, trade openness, and urbanization in addition to other factors that could otherwise cause a deviation which would generate biased results. The statistical tests show that green finance positively contributes to sustainable development in Jordan, and in the short- and long-term perspectives. Green finance and sustainable development have been a tightly connected two-way causality between them according to Dik and Panchenko's test, which implies that a virtuous cycle exists here. The results give extra weight and brilliant examples of the crucial role that green finance plays in the implementation of the sustainable development goals. It is this role that mainly enables reduction of carbon emissions in the world and mitigation of the negative consequences of climate change. They touch on the main issue of shaping the suitable conditions for green investment options and to create the interest for investing in sustainable development projects. This has become part and parcel of the green finance and sustainable development literature through the manifold of envisaged adjustments to our research design, a wide array of relevant control variables considered, and fully developed elaborated econometrics. It offers a direct response to the research gap by unfolding how becoming green finances takes place. This empowers the sustainable development outcomes in Jordan.

This study investigates the dynamic relationship between a set of banking sector development indicators and interest rate volatility for 12 emerging market countries during the period of 1980-2019. For this purpose, the bounds testing within autoregressive distributed lag (ARDL) methodology is employed. The empirical results reveal that the interest rate volatility has negative impacts on the majority of the banking sector development indicators which also play a significant role in dampening the banking sector development path in the long-run. These findings suggest that the banking sectors of emerging countries are vulnerable to interest rate risks. Thus, the results have important implications for policymakers to improve the banking system and to promote economic growth of emerging economies.