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The purpose of this paper is to examine recent developments pertaining to China’s shadow banking sector. Shadow banking has the potential not only to be a beneficial contributor to continued economic growth, but also to contribute to systematic instability if not properly monitored and regulated. An assessment is made in this paper as to whether shadow banking is beneficial or harmful to China’s economic growth.

The authors start with providing an overview of shadow banking from a global perspective, with information on its recent growth and importance in selected countries. The authors then focus directly on China’s shadow banking sector, with information on the various entities and activities that comprise the sector. Specifically, the authors examine the interconnections between shadow banking and regular banking in China and the growth in shadow banking to overall economic growth, the growth in the money supply and the growth in commercial bank assets.

Despite the wide range in the estimates, the trend in the size of shadow banking in China has been upward over the examined period. There are significant interconnections between the shadow banking sector and the commercial banking sector. Low deposit rate and high reserve requirement ratios have been the major factors driving its growth. Shadow banking has been a contributor, along with money growth, to economic growth.

The authors argue that shadow banking may prove useful by diversifying China’s financial sector and providing greater investments and savings opportunities to consumers and businesses throughout the country, if the risks of shadow banking are adequately monitored and controlled.

To the authors’ knowledge, this paper is among the few to systematically evaluate the influence of shadow banking on China’s economic growth.

In the digital era, the banking sector has transformed into a powerful intermediary, effectively connecting surplus and deficit units. This dynamic landscape empowers savers to secure their finances and generate returns, while simultaneously enabling businesses and individuals to access capital for investment and promoting economic growth. This study explores the relationships among banking development dimensions – represented by primary assets and liabilities, bank capital (core capital and required reserves) and economic growth as measured by components of gross domestic product (GDP).

The study consolidated monthly balance sheets from digital banks over a 20-year period, resulting in an aggregate monthly balance sheet that reflects the financial position of all digital banks in the Palestinian economy. The research employs both maximum likelihood and Bayesian structural equation modeling to measure the causal pathways of the consolidated balance sheet with the individual components of GDP.

The results revealed that bank main assets (investments and loans) and liabilities (deposits) collectively explain for 97% of bank capital. Investments and loans demonstrate significant negative correlations with bank capital, while deposits exhibit a positive impact. This leads to a fundamental conclusion that a substantial proportion of retained earnings within the banking sector is reinvested, fueling expansion and growth. Additionally, the results showed a significant relationship between bank capital and various GDP components, including private consumption, gross investment and net exports (p = 0.000). However, while the relationship between bank capital and government spending was insignificant in the maximum likelihood estimation, Bayesian estimation revealed a slight yet positive impact of bank capital on government spending.

This research stands out due to its unique exploration of the intricate relationship between bank sector development dimensions, primary assets and liabilities and their impact on bank capital in the digital era. It offers fresh insights by dividing this connection into specific dimensions and constructs, utilizing a comprehensive two-decade dataset covering the digital banks records.

The study provides medium-term estimates of recovery paths for Indian economy using a dynamic factor (DF)-based approach that employs data on high-frequency indicators à la Bhadury, Ghosh, and Kumar (2020). The DFs are used to analyze the post-pandemic recovery and convergence with its pre-COVID-19 trend for India between March 2021 and March 2022. A broad sectoral assessment of the impact of COVID-19 is also conducted. In addition, forward-looking measures based on stock returns are used to analyze the transmission of additional banking sector risks to the real sectors by constructing daily delta conditional value-at-risk (CoVaR) estimates. Our estimates based on the DFs suggest that the aggregate economic activities may catch up to the estimated pre-COVID trend by March 2021 predominantly driven by the growth in services sector. The industrial sector and consumer goods sector continue to show moderate signs of recovery. Our CoVaR estimates corroborate these findings. Banking sector transmission risk is among the lowest for services such as healthcare and information technology (IT), for both the lockdown period between March 25 and June 8, 2020, and for the latter months. The transmission risk continues to remain high for metal, oil and gas, and capital goods sector. Broadly, the evidence on forward-looking banking sector risk transmission for major sectors is in alignment with our finding on their recovery based on DF models, after easing of COVID-19 lockdown.

The purpose of this paper is to provide new empirical evidence on the impact of credit risk on China banks' total factor productivity.

The paper employs the Malmquist Productivity Index (MPI) which allows for the examination of five different indices: total factor productivity change (TFPCH); technological change (TECHCH); efficiency change (EFFCH); pure technical efficiency change (PEFFCH); and scale efficiency change (SECH) indices.

The empirical findings indicate that the State Owned Commercial Banks (SOCB), Joint Stock Commercial Banks (JSCB), and City Commercial Banks (CCB) have exhibited lower TFPCH levels with the inclusion of risk factor. It was found that the JSCB and CCB have exhibited lower TFPCH due to TECHCH, while the SOCB have exhibited lower TFPCH due to EFFCH. The empirical findings suggest that the inclusion of credit risk factor has resulted in a higher JSCB EFFCH levels. On the other hand, the SOCB and CCB have exhibited a lower EFFCH levels due to SECH and PEFFCH, respectively.

The results clearly highlight the importance of credit risk and lending quality in determining the total factor productivity change of banks operating in the China banking sector. The author demonstrates that the inclusion of credit risk factor has resulted in a lower TFPCH level of all banks operating in the China banking sector. Thus, excluding the credit risk factor from the analysis on the China banking sector may potentially bias the result upwards.

In an environment of heavy government influence over the lending process, a large proportion of loans extended by Chinese banks over the years have gone bad. Policymakers should prevent the flow of new non‐performing loans by separating bad clients from banks that are being restructured and recapitalized in the reform of the banking sector.

By employing the Malmquist Productivity Index (MPI), the present paper contributes to the existing literature by examining, for the first time, the impact of credit risk on China banks' total factor productivity. To the best of the author's knowledge, this type of analysis is completely missing from the literature in regard to the China banking sector.

This paper aims to assess the nature of competition between conventional and Islamic banks operating in Malaysia. It is an effort to enrich the existing literature by offering an empirical compromise on the differences in the results of studies related to competition between the two types of banks.

Secondary data on all banks operating in Malaysia’s diversified banking sector is collected from the FitchConnect database for the period 2011-2017. A non-structural measure of competition (H-statistic) as informed by Panzar–Rosse is used to measure the competition between conventional and Islamic banks. Panel data analysis techniques are used to estimate H-statistic. Wald test for the market structure of perfect competition/monopoly is used to affirm the validity and consistency of the results.

The findings of this study signify that the Malaysian banking sector operated under monopolistic competition during the period of study. The long-run equilibrium condition holds for the Malaysian banking sector. Competition among conventional banks is more intense than that among Islamic banks. Financial reform endeavours of Bank Negara Malaysia (BNM) along with the liberalisation wave of the financial system were successful in promoting competition, rendering the financial system contestable, resilient and dynamic.

Regulators and policymakers may find the results beneficial in terms of rethinking the number of banks operating in the Islamic sector. The number of banks, however, is not the only determinant of competition in the banking sector. Implications of competition change for stability and risk-taking behaviour of banks should be considered.

Within the context of Malaysia’s diversified banking system, given the contradictory results reported in studies on competition, this study is an effort to provide a plausible middle ground. It suggests a possible answer as to why competition nature has not changed since the policy change initiatives of BNM, namely, banks merger, expansion of Islamic banking operation scope and liberalisation process.

In the present competitive scenario in the Indian banking industry, service quality has become one of the most important facets of interest to academic researchers. The purpose of this paper is to determine the dimensions of perceived service quality and investigate their impact on customer satisfaction in the Indian banking context, with special reference to selected public sector banks in India.

On the basis of the empirical study, the authors validate a measurement model using structural equation modeling for investigating the impact of perceived service quality dimensions on customer satisfaction. The study sample consists of 480 respondents in the National Capital Region (NCR) of India; the data were collected through a structured questionnaire utilizing a seven-point Likert scale while implementing a purposive sampling technique.

The perceived service quality dimensions identified were tangibility, reliability, assurance, responsiveness, empathy, and image. The empirical findings revealed that “responsiveness” was found to be the most significant predictor of customer satisfaction. On the other hand, “image” (corporate image) has a positive but the least significant relationship with customer satisfaction followed by all other constructs. The exception is “reliability,” which is insignificantly related to customer satisfaction in Indian public sector banks.

The study cannot be generalized in the context of Indian banking sectors, as it only focused on the public sector. The findings of this study suggest that the six dimensions of perceived service quality model are a suitable instrument for evaluating bank service quality for public banks in India. Therefore, bank managers can use this model to assess the bank service quality in the context of Indian public sector banks.

There is dearth of research focusing on corporate image as a dimension of perceived service quality and its effect on customer satisfaction in the Indian banking context. Furthermore, similar studies were rarely found in the Indian context, especially within the public banking sector. Hence, this paper attempts to accomplish the research gap by empirically testing the satisfaction level of a large sample of the population in NCR toward six dimensions of perceived service quality rendered by selected public sector banks in India.

Banking sector reforms can impact the development of the real sector. However, there is very little known about this impact on the construction sector in a developing country context. This study aims to evaluate the impact of the banking sector reform on the construction output (CNS) using the banking sector reform in Nigeria in 2005 (2005 Banking Sector Reform Programme [BSRP]) as a case.

This study used econometric methodology comprising unit root test for stationarity, Johansen test for cointegration, analysis of variance (ANOVA) and the analysis of covariance. Time series data covering a period from 1981 to 2017 (37 years) about the banking and construction sector performances are analyzed using ten-time series equations.

The ANOVA estimates reveal that the 2005 BSRP positively impacted the CNS and construction sector growth rate. However, the ANOVA estimates reveal that the gross domestic product (GDP) and bank total loan had a positive impact on CNS in the period (1981–2017) before and after the 2005 BSRP, and consequently removing the effect of the 2005 BSRP on CNS.

This paper concludes that the banking sector reform has a positive impact on CNS in the Nigerian construction industry. The impact is greater and lasting when the reform is directly targeted at improving CNS.

This study provides empirical evidence of the dependence between banking sector reform and construction sector performance in a developing country context. Also, this study demonstrates the relationship between GDP, banking sector reform and construction sector performance in a developing country context.

This paper longitudinally examines the intellectual capital (IC) disclosure practices of Nigerian banks following the restructuring exercise and the subsequent policy changes in the Banking sector.

Content analysis of annual reports of the banks was carried out over a period of four years (2006‐2009), a period following the consolidation exercise and the subsequent introduction of the mandatory code of corporate governance. A self‐constructed IC disclosure checklist was used to measure the extent of IC information disclosed in the annual reports. A number of statistical techniques were performed to assess the trend of IC disclosures and compare the IC disclosure categories.

The results show that the overall IC disclosures of the Nigerian banks increased moderately over the four year period. Human and internal capital disclosures dominated the banks' IC disclosures, with only internal capital disclosures showing a significant increasing trend over time.

The increasing trend of IC disclosures of the banks suggests that the introduction of the mandatory code of corporate governance had positive implications on IC reporting practices. Hence, the findings of this study give support to previous research that established a strong positive association between IC disclosures and corporate governance development. However, this study only examines the IC disclosures of Nigerian banks following the reformation of the banking sector. Future research should incorporate other countries experiencing similar regulatory changes.

The introduction of the corporate governance code might have positively influenced the IC disclosure practices of the banks. However, the results had shown that the IC disclosures were mainly inconsistent and discursive in nature. Hence, the regulatory authorities, accounting setters and other relevant government agencies may wish to devise a detailed IC reporting framework for the banking sector.

Despite the significance of the banking sector to any economy, the IC disclosure practices of the banks largely remained unexplored. This study provides a much needed longitudinal assessment of the IC disclosures in the case of Nigerian banks following a major consolidation exercise and the introduction of a mandatory code of corporate governance specifically designed for the banks. The study also represents the first empirical investigation of IC reporting practices in Nigeria.

Retail banking is mass market banking where individual customers use local branches of large commercial banks for services such as savings and checking accounts, mortgages, personal loans, car loans, debit cards, credit cards, insurance and other value added services. The purpose of this paper is to gain an understanding of the retail banking business processes from the perspective of continuity and change and identify the factors that affect these processes and overall performance of the retail banking sector. The aim was to develop a flexible framework for managing forces of continuity and change in retail banking business processes from a strategic perspective.

The data on which this study is based were generated through secondary research using published sources and primary research through focused discussion with industry experts and personal interviews with over 100 experts from leading banks selected using a structured questionnaire.

It was found that most of the public sector banks scored high on the continuity forces and relatively low on the change forces. Most of the private‐sector banks studied scored high on continuity and also high on change forces making them more competitive, except one bank which is low on both the forces because it is a newly established bank. The study suggests that there is a need for public sector banks to focus their strategies on factors affecting change forces for the improvement of their overall performance in the long run.

The paper brings in the need for social responsibility for private sector banks and a need for a fine balance in forces of continuity and change for a long‐term sustainable business model.

This research paper represents one of the few efforts to study the business process management of retail banking in India from a strategic perspective and come out with a flexible strategic framework for managing forces of continuity and change for guiding this sector for its long‐term survival and growth. The flexible framework suggested and the C‐C Matrix can be of interest to researchers and practising managers to validate the applicability for other sectors, such as financial services, insurance, corporate finance, mortgages, risk management and other domains. The framework suggested can be adapted for application in the global context.

The purpose of the present study is to investigate the effect of consolidation on Malaysian banking sector's market structure and competition.

The paper employs the Panzar‐Rosse (P‐R) method to compute the H‐statistics of the Malaysian banking sector.

The results from the P‐R method indicate positive H‐statistics ranging from 0.680‐0.747 under the TREV estimation and 0.547‐0.714 under the TINT estimation. The Wald χ² test statistics seem to reject the market structure of monopoly or perfect competition hypothesis. The results clearly indicate monopolistic competition behavior in the Malaysian banking sector. During the period under study, the paper finds evidence of greater competition in the overall market segment, which is comprised of operating income from fee and commission based products compared to the traditional interest‐based market.

The empirical findings from this study clearly indicate that competitive behaviour of banks may be explained by factors other than the number of banks operating in the banking sector and their levels of concentration. However, the results need to be interpreted with caution since the liberalization and deregulation of the Malaysian banking sector remains an ongoing process.

Despite substantial studies performed to examine the impact of consolidation on banks' competitive behaviour, these studies have concentrated mainly on the banking sectors of the western and developed countries. On the other hand, empirical evidence on the developing countries banking sectors is relatively scarce.