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The purpose of this paper was to explore the impact of interest rate shocks on the deposits and financing of Islamic and conventional banks in Saudi Arabia.

The authors use impulse response functions (IRFs) and variance decomposition (VDC) analyses over the period 2008Q1–2020Q2.

The IRFs showed that increasing interest rates reduce loans and conventional deposits. For Islamic banks, the deposits are more affected by interest rate changes than the financing. The VDC analysis found that deposits contribute up to 61% of Islamic financing variations, compared to only 25% in conventional lending ones.

This research contributes to the field of Islamic economics and finance by providing empirical evidence on how interest rates likely impact Islamic and conventional deposits and financing in Saudi banking system.

The purpose of this study is to examine the effect of Islamic banks (IBs) and macroeconomic variables on economic growth in Saudi Arabia, the United Arab Emirates, Kuwait, Malaysia, Qatar, Bahrain and Bangladesh.

Based on these criteria, 672 observations from 24 IBs in Saudi Arabia, the United Arab Emirates, Kuwait, Malaysia, Qatar, Bahrain and Bangladesh were chosen for further investigation. Time series analysis is a well-known method for determining if model variables are stationary and how long-term relationships function through cointegration analysis. This study uses impulse response function (IRF) and variance decomposition (VD) methodologies to demonstrate how each macroeconomic variable shock influences the short-term dynamic path of all system variables.

Islamic banking promotes economic growth, especially in Saudi Arabia, the UAE, Kuwait, Malaysia, Qatar, Bahrain and Bangladesh. The findings of the Islamic banking VDC test have a direct and long-term effect on economic growth.

The literature on this topic can be improved in a number of ways, including by adopting a more robust method to analyze over a longer time frame. By researching specific financing in various areas of the economy, one can gain a deeper understanding of Islamic financing. This will enable the identification of sectors that contribute to economic expansion. Future research should examine combining nations with pure Islam and dual-banking systems to acquire sufficient data.

This paper has practice and research implications. It recommends adopting the nation’s successful experiment with the Islamic banking system as a model for attaining economic growth through Islamic financing. To replicate this successful experiment, government-based decision-makers and monetary policy experts must collaborate to make Islamic money flows simple and rapid through financial channels that enhance economic growth.

The study of the contribution of Islamic banking to economic growth in developing nations, particularly those with the highest total assets (TAs) and total deposits (TDs) in the world, remains of modest value. To the best of the authors’ knowledge, this is the first study to empirically assess the impact of IBs in developing nations, particularly those with the highest TAs and TDs in the world, on economic growth as measured by gross domestic product (GDP).

The purpose of this study is to provide a comprehensive analysis on the economic relationship between trade openness and economic growth and to identify current developments, potential research area and future directions. The emphasis is on the identification of annual growth of publications, country-wise distribution, publication pattern, intellectual structure and cluster analysis of scientific production in this field.

This study used evaluative techniques, text mining approach and performance analysis to identify possible patterns and correlation and to measure the impact of authors/citations/scientific production. Further, this study used the bibliometric mapping to represent the structural features of scientific production. This study emphasized on identification of the research hotspots based on occurrence of indexed keywords, productive researchers and journals during 2000–2022. Further, cluster analysis is performed using VOS viewer to analyze the current dynamics and future direction of the association between trade openness and economic growth (Eck and Waltman, 2011). Also, co-citation analysis is used in this study to identify the relations among authors or journals or documents using citation data, whereas the bibliographic coupling/mapping is intended to analyze the citing documents. Similarly, co-word analysis is used to study the article keywords that are mainly used to assess the conceptual structure of a concerning subject.

Economic growth is a function of trade openness, and it is important to analyze the relationship between trade openness and economic growth. Trade openness tends to become more liberalized over time, to contribute more to economic growth. Empirical evidence suggested that there exists a strong association between trade openness and economic growth. Further, keyword timeline analysis illustrated that the linkage between trade openness and economic growth is current area of interest among researchers. As per bibliometric analysis, China, Pakistan and Malaysia are the three most prolific countries in the terms of published articles on this theme. However, the most influential publications based on h-index and citation on trade openness–economic growth relationship is produced by Turkey. Based on cluster analysis, this study suggests that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development.

There are some limitations of this study. The first limitation is the authors have used Scopus database, leaving the possibility for future research to use Web of Science, Google Scholar or other similar sources. The second limitation is that the authors have used search terms “trade openness “and “economic growth,” although research could be performed using synonyms or even relevant terms in other languages.

Cluster analysis suggested that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development. Therefore, this study identified the potential research area in this research domain.

To confirm the originality of this study, to the best of the authors’ knowledge, this is the first study to combine bibliometric analysis and cluster analysis on trade openness–economic growth relationship. This study makes a comparison with phenomena/processes/events in contemporary economic and social reality in the field of trade openness and economic growth relationship.

This paper examines the relationship of financial market inclusion, economic growth, foreign direct investment and real output on trade openness for the Saudi Arabia Economy. Trade openness potentially is a major source of economic growth and development.

This study is the first employing mixed methods and approaches of autoregressive distributed lag (ARDL) to estimate the long-run and short-run models for the Saudi Arabia Economy.

The results indicate that the inclusion of financial markets has an important role in the short term and has an effect on trade openness on this economy.

These results listed are only implications for decision-makers to achieve their objectives. Indeed, to have better economic growth, economic and financial decision-makers can rely on financial inclusion and trade openness.

This article investigates an approach testing the relationship of variables in a short and long term by using annual data from 1990 to 2017 for the Saudi Arabia economy. This paper tests the relationship between finance and economy with an econometric model.