In order to achieve financial inclusion objectives of Sustainable Development Goals (SDGs) and provide continuous financial support to the unbanked population, microfinance institutions (MFIs) must attain efficiency in their operations. Hence, the main purpose of this study is to examine various efficiencies of MFIs based on their goals and operational mechanisms. By utilizing a unique production process and network data envelopment analysis (NDEA) technique, we estimated three different types of efficiencies (operational, financial and outreach) of 90 MFIs from 2013 to 2018. It was discovered that the overall efficiency of the MFIs was not up to the required standard and it became even worse when the financial and social outreach efficiencies were considered. However, operational efficiency (ability to generate intermediaries) was relatively better and remained high among the regulated MFIs. On the contrary, the financial and social outreach efficiencies were found to be better among the unregulated MFIs. Moreover, our results also highlight the divergence in efficiency between regions, legal status and regulatory environment; with projection analysis suggesting a simultaneous reduction in input, and an increase in output of inefficient MFIs to facilitate their attainment of efficiency. Policy implications are subsequently discussed.

The contradiction between financial development and environmental pollution has become increasingly prominent with economic development. The discovery of the link between financial development and carbon dioxide emissions will aid in the development of solutions to this problem. This paper uses a panel smooth transition regression (PSTR) model to examine the impact of financial development on carbon dioxide emissions using panel data from 28 Chinese provinces from 2005 to 2021. The PSTR model can solve the problem of minimizing potential outliers ignored in the previous literature, while taking into account the endogeneity and heterogeneity of the model and obtaining more reliable results. According to the findings, financial development has a nonlinear effect on carbon dioxide emissions. Furthermore, the positive effect of financial development on carbon dioxide emissions occurs via the scale and structural effects, while the negative effect occurs via the technological effect, which takes up more space. Moreover, financial added value and the financial scale demonstrate a smooth transition, while financial efficiency and foreign direct investment demonstrate a positive influence.

In recent years, the global economy has become more closely related among countries, and people’s pursuit of economic growth has caused the destruction of the environment. This paper selected panel data from 30 provinces in China from 1997 to 2020 to investigate the dynamic relationship between trade liberalization, financial development and carbon dioxide emissions by constructing a PVAR model. We also consider technology as an important variable for studying the effect on carbon dioxide emissions. We draw the following conclusions. First, financial development promotes carbon dioxide emissions, while trade liberalization has no significant impact on carbon dioxide emissions. Second, China’s trade liberalization promotes financial development, which has limited support for international trade. Third, there is a two-way causal relationship between financial development and carbon dioxide emissions, and there is also a two-way causal relationship between trade liberalization and financial development. Finally, there is a significant inverted “U” curve relationship between trade liberalization and innovation efficiency, environmental regulation and innovation. According to the results, we believe that openness to trade impacts emissions of carbon dioxide, opening a new function path: namely, trade openness and financial development result in high carbon dioxide emissions; consequently, China has relied on this process in the development of their financial system.

This article investigates the factors influencing the margins of Islamic banks in 15 countries for the period 2007–2013. The article also analyses the effect of the global financial crisis (2007–2009) on the Islamic banks’ margins. Despite the rapid growth of Islamic banking, the margins of Islamic banks remain higher than conventional banks. The margins reflect the costs of financial intermediation, as higher margins may discourage clients from using bank services. The findings reveal that the margins of Islamic banks are affected mainly by capital adequacy, overhead costs, liquidity risk, bank size and institutional development. Interestingly, the crisis has a positive impact on Islamic banks’ margins. These findings will be useful for the design of policies in narrowing the margins.