Testing the moderating role of regulatory quality in the relationship between financial institutions’ depth, access, and efficiency and energy intensity in GCC countries
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Received August 19, 2025;Accepted January 5, 2026;Published January 19, 2026
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DOIhttp://dx.doi.org/10.21511/imfi.23(1).2026.06
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Article InfoVolume 23 2026, Issue #1, pp. 67-81
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Type of the article: Research Article
Abstract
Financial institutions can play a critical role in promoting energy efficiency by facilitating investment in energy-saving technologies and infrastructure, as per the Sustainable Development Goals (SDGs). This study aims to investigate the impact of Financial Institutions’ Depth (FID), Access (FIA), and Efficiency (FIE) on Energy Intensity (EI) in the GCC countries from 2000 to 2021 within the Environmental Kuznets Curve (EKC) framework. To add novelty to the analysis, regulatory quality’s moderating role is also tested in the relationship between FID, FIA, FIE, and EI. Given the financial, economic, and institutional interconnectedness of the GCC region, second-generation panel econometric techniques, such as Cross-sectional Dependence (CD) unit root tests, cointegration, and Autoregressive Distributed Lag (ARDL), are employed. The findings confirm the long-run validity of the EKC in all models. In the short term, the EKC is only supported by an FID model. FIA and FID do not directly influence EI in either the short or long run. However, regulatory quality significantly moderated these relationships with long-run coefficients of –0.096 (FID) and –0.063 (FIA). FIE is found to reduce EI with the long-run coefficient of –0.109, and this effect is also moderated by better regulatory quality with the long-run coefficient of –0.087. However, FIE and its interaction with regulatory quality do not significantly impact EI in the short run. The results conclude that regulatory quality directly and consistently reduces EI in all models. These results emphasize the need to improve the financial institutions and regulatory governance to achieve energy efficiency in the GCC region.
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JEL Classification (Paper profile tab)G20, G28, Q43
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References54
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Tables5
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Figures0
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- Table 1. Correlation matrix
- Table 2. CD and SH results
- Table 3. Panel unit root analyses
- Table 4. Westerlund cointegration
- Table 5. CD-ARDL results
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Conceptualization
Tariq Qaysi
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Innovation risk management in financial institutions
Svitlana Mishchenko
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Svitlana Naumenkova
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Volodymyr Mishchenko
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Dmytro Dorofeiev
doi: http://dx.doi.org/10.21511/imfi.18(1).2021.16
Investment Management and Financial Innovations Volume 18, 2021 Issue #1 pp. 190-202 Views: 2886 Downloads: 1743 TO CITE АНОТАЦІЯThe extensive use of financial technologies and innovations in the provision and utilization of financial products and services causes new risks that require constant attention. The article aims to improve innovation risk management methods to increase the operational stability of financial institutions in Ukraine. By generalizing international practice, the types of innovation risks are classified, and their impact on the activities of financial institutions and consumers is characterized. The attention is drawn to the control strengthening over the impact of operational and regulatory risks, based on important theoretical provisions contained in WBG, BIS, BCBS, and FSB documents. An organizational scheme for the interaction of a financial institution and an IT company is proposed to conclude “smart contracts” based on the use of a cloud service and blockchain technology. The authors propose additional methods of insurance protection and compensation for losses caused by the implementation of risks of using ICT and innovation based on creating the Collective Risk Insurance Fund of financial institutions; offer approaches to the calculation of variable and fixed parts of the contribution to the insurance fund for certain groups of financial institutions. It is concluded that to maintain the proper operational stability of financial institutions in Ukraine, it is necessary to introduce additional collective compensation methods for the risks of innovation and the strengthening of cyber threats.
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The impact of microfinance on microenterprises
Sanya Olugbenga , Polly Mashigo doi: http://dx.doi.org/10.21511/imfi.14(3).2017.08Investment Management and Financial Innovations Volume 14, 2017 Issue #3 pp. 82-92 Views: 2098 Downloads: 1388 TO CITE АНОТАЦІЯThe provision of and access to financial services, particularly credit, can contribute greatly to the development of microenterprises in South Africa. Such provision has been an issue ignored by conventional banks or formal financial institutions. The problem associated with this ignorance includes high transaction and operation costs, lack of collateral, and the inability to obtain information about microenterprises resulting in difficulties to extend such credit. Microfinance therefore becomes an alternative to conventional banking and a mainstream and sustainable development activity for extending credit to microenterprises. However, the benefits of microfinance, which include, among others, the ability to provide the much-needed financial support for microenterprises, have not been fully harnessed in South Africa. The objective of this article is to evaluate the impact of microfinance on microenterprises in a typical South African township and to propose specialized financial mechanisms to support and improve the provision of credit to microenterprises. The article draws on the findings of a study undertaken in the Ga-Rankuwa township located in the Tshwane Metropolitan area in the Gauteng province of South Africa. It further draws on a wide range of extensive review of literature that documents the impact of microfinance on microenterprises. A case study approach is adopted and mixed method research paradigm (qualitative and quantitative) is used to gather information. Structured questionnaires and interviews were used to solicit information from the randomly selected microfinance institutions and microenterprises in the Ga-Rankuwa township.
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The role of universities in ensuring energy efficiency and sustainability: Investigating the link between UI GreenMetric ranking and countries’ sustainability indicators
Denys Smolennikov
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Alina Raboshuk
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Oksana Drebot
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Zhanna Oleksich
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Liudmyla Huliaieva
doi: http://dx.doi.org/10.21511/kpm.08(2).2024.10
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