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Both branch and automated teller machine (ATM) are playing a crucial role in banking coverage expansion in India. People prefer to go to an ATM for withdrawal of money rather waiting in a queue for hours at a branch. Without the existence of a full-fledged brick-and-mortar branch, ATM also plays an important role by providing basic banking services. In India, a significant part of the population is excluded from banking access. The present study aims to investigate how the branch and ATM penetration influence financial inclusion.

The study covers the period from 2008–2009 to 2019–2020. With the application of Welch's t-test, a comparative study is being conducted between branch and ATM. Further, with the application of regression analysis, the study analyses how the branch and ATM network expansion influence financial inclusion.

Though in recent times customers prefers to visit an ATM and its growth rate is higher than branches, the study found no significant differences between the growth of branch and ATM. Further, results of regression show both branches and ATMs have significant impacts on financial inclusion.

In micro concept both have a common role in respect of service provided to customers. While in macro concept a list of specific services can be provided through branch level only. This study has a significant role, considering the importance of branches or ATMs and cost of installing a physical branch.

Access to finance, especially by the poor and marginalized section of the population, is a prerequisite for creating employment opportunities, economic growth, poverty reduction and social cohesion. Access to finance makes transactions quicker, cheaper and safer. Most people around the world having an account in a formal financial institution serve as an entry point into formal financial sector. This study aims to analyze the status of financial inclusion in Assam with respect to demographic penetration, geographic penetration and usage ratio, i.e. credit–deposit ratio.

The study covers a period of 12 years from 2007–08 to 2018–19. Both the parametric and non-parametric statistical tools have been used to analyze the various dimensions of financial inclusion.

The study clearly indicates that there is a significant difference between Assam and aggregate India in financial inclusion and the status of Assam is somewhat lower as compared to the aggregate financial inclusion status of India. To achieve a satisfactory level of financial inclusion, it is not enough to open a bank account for the excluded people, but banks must look at flexibility and timeliness in services to offer a complete package to this segment of the population.

The study is a significant attempt to meet the shortcomings and improve banking coverage for achieving financial inclusion.

The study aims to focus to ascertain the consequence of corporate management and different firms' characteristics on environmental sustainability.

The sample includes 78 non-financial NSE 100 listed companies from 2010 to 2020. Here, the static and Arellano–Bond dynamic panel data model is considered to determine the effect of corporate governance mechanisms and different firms’ characteristics on environmental performance.

The empirical findings of this study indicate that board size is negatively related with environmental sustainability. Similarly a positive influence of age, size and market-based financial performance can be seen on sustainability of the firm.

The present study takes an initiative to determine endogeneity and the dynamism effect of corporate governance factors and specific firms' characteristics on environmental sustainability from an emergent nation.

Taking cues from the fact that there remains a dearth in the establishment of theoretical and empirical relationship between executive compensation and corporate social responsibility (CSR) performance of the firms, this study attempts to explore the non-linear relationship between the said variables.

The study utilizes a strongly balanced panel data set of 179 non-financial National Stock Exchange (NSE) 500 listed firms for the study period of 2015–2020. The study further employs both static as well as Arellano-Bond dynamic panel model under generalized method of moments (GMM) framework to establish the relationship between executive compensation and CSR performance of the sampled firms.

The study acknowledges an inverted U-shaped relationship between executive compensation and environmental, social and governance (ESG) score of the firms. According to the robust estimator, an increase in the level of executive compensation is said to affect CSR performance positively until it surpasses a threshold level of 18.7 percent.

One of the major takeaways that the study provides for the corporate policymakers is that the level of compensation can only motivate the executives to take up socially responsible work up to a certain level surpassing which the executives becomes resistant towards any benefits provided by the CSR performance and get inclined towards economical performances of the firm. At the later stage, the economical expansionary investment benefits overweigh the personal career benefit gained by the executives from the CSR performances of the firm.

The nonlinearity relationship between executive compensation and CSR performance and the threshold level providing the two-fold effect of compensation on the CSR performance of the firms attempted by this study is a rare attempt in an emerging economy like India.

This study aims to examine the influence of corporate governance variables on firm performance and also to find out whether the corporate governance mechanism is capable of mitigating the vertical agency crisis. Here the researcher uses corporate governance mechanisms such as board meeting frequency, board independence, percentage of non-executive directors, percentage of woman directors on board and the board size to measure the firm performance and, at the same time, tries to mitigate the agency crisis, which is measured through return on asset and asset turnover ratio.

The present study considers period from 2009 to 2020 with data corresponding to a panel of 271 non-financial firms listed in 500 NSE index, India. The study introduces a panel regression model to analyze the data collected from the sample firms.

The study detects a positive as well as a statistically significant relationship between board size and vertical agency cost. The study also observes a negative relationship between board independence and agency cost. Further, the study finds a positive relationship between corporate governance variables and firm performance, though it is non-significant.

As the study progresses, the study detects a negative relationship between non-executive directors and agency costs. This study tries to give policy prescription to the corporate policymaker regarding various measures to be taken by the firm for the improvement of firm performance and reduction of owner and manager conflict inside the company. The study fills the literature gap by revealing a significant relationship between corporate governance, vertical agency crisis and firm performance.

This study aims to attempt to evaluate and establish the relationship between gender diversity (GD) on the board and corporate sustainability performance.

A sample of 212 non-financial companies listed on the National Stock Exchange has been considered for a period of 2013–2014 to 2018–2019. For the purpose of the analysis, this study has conducted the static panel data model analysis and also some diagnostics tests to arrive at robust results.

This study, from its analysis, interprets that GD or the proportion of women directors in the company plays a significant role in the decisions related to the sustainability performance of the company. Alongside GD, the profitability of the company, measured in terms of Tobin’s Q, and firm size are also seen to have a positive impact on the sustainability performance of the company.

This study from its findings contributes to the existing works of literature by highlighting the impact of GD on the sustainability performance of the firm. This study thus recommends the recruitment of an ample number of females in the top-notch positions of the board to create a gender-diverse management team to reap the benefits of leadership styles of both genders.

Very few studies have been conducted on the dynamics of women’s directorship, especially in an emerging economy like India. This study thus tries to fill this important gap in the literature by examining the relationship between board GD and sustainability performance of Indian firms.

This study is designed to examine the dynamic interrelationships between four cryptocurrencies (Bitcoin, Ethereum, Dogecoin and Cardano) and the Indian equity market. Additionally, the study seeks to investigate the potential safe haven, hedge and diversification uses of these digital currencies within the Indian equity market.

This study employs the wavelet approach to examine the time-varying volatility of the studied assets and the lead-lag relationship between stocks and cryptocurrencies. The authors execute the entire analysis using daily data from 1st October 2017 to 30th September 2023.

The result of the study shows that financial distress due to the pandemic and the Russian invasion of Ukraine have a negative effect on the Indian equities and cryptocurrency markets, escalating their price volatility. Also, the connectedness between the returns of stock and digital currency exhibits a strong positive relationship during periods of financial distress. Additionally, cryptocurrencies serve as a tool of diversification or hedging in the Indian equities markets during normal financial circumstances, but they do not serve as a diversifier or safe haven during periods of financial turmoil.

This study contributes to understanding the relationship between the Indian equity market and four cryptocurrencies using wavelet techniques in the time and frequency domains, considering both normal and crisis times. This can offer valuable insights into the potential of cryptocurrencies inside the Indian equities markets, mainly with respect to varying financial conditions and investment horizons.

Amidst the growing awareness regarding the social accountability of corporates, the study has attempted to investigate how firm characteristics like size and performance influence corporate social responsibility (CSR) activities in India.

236 Indian firms listed on the National Stock Exchange (Nifty 500 index) have been selected for the empirical analysis. The independent variable firm size has been defined through total assets, operation scale and resource access. Another important factor, firm's performance, is also considered as the independent variable. CSR, the dependent variable, has been measured using Bloomberg's Environmental, Social and Governance (ESG) disclosure scores.

Findings of the dynamic panel data analysis have revealed an inversed U-shape relationship between companies' size and CSR, i.e. CSR participation is positively related with small-sized firms, but as the firms become larger in size, their relationship with CSR becomes negative. A negative relationship has also been found between firm performance and CSR, while the age of the firm exhibits a positive association with CSR participation.

Poor performance of the larger firms suggests that government regulatory bodies need to take strict steps to enhance supervision. Clear regulations are required to be framed and enforced upon large companies to promote consistent participation in CSR. The present study has endeavoured to offer a distinct viewpoint by considering firm size and CSR to be related in a non-linear manner and has brought forward relevant information from the perspective of an emerging economy like India.

Bank mobilizes savings and transforms it into credit for investments in various sectors, which helps the economy running. The purpose of this paper is to examine the efficiency of three bank groups in India with data spanning from 2009–2010 to 2018–2019.

The study uses data envelopment analysis for measuring the efficiency of the selected banks. It measures the efficiency both from the revenue dimension and from the supply-side dimension of financial inclusion.

The study finds that foreign banks on average are working efficiently far better than the public-sector and private-sector banks. It indicates that foreign banks in India are operating at 92.53% efficiency level, whereas private- and public-sector banks are operating at 90.20 and 86.04% efficiency levels, respectively. Further, the result of the Friedman test reveals that there is no significant difference in efficiency scores amongst these three bank groups. As major challenges, non-performing assets of the banking industry to be reduced by 15% as radial and 53.18% as slack.

One of the notable innovativeness of this study is that, unlike most of the previous studies that are mostly selected few banks and specific group, the present study may place itself as a unique inquiry in the domain of technical efficiency in macro concept by considering three major bank groups operating in India. An important contribution of the study is the classification of reasons behind the inefficiency, i.e. managerial or inappropriate scale size and further projections of input factors for the same level of output.

This study aims to investigate the possibilities of cryptocurrencies as hedges and diversifiers in the Indian stock market before and during financial crisis due to the pandemic and the Russia–Ukraine war.

Researchers have used daily data on cryptocurrencies and Indian stock prices from March 10, 2015 to August 26, 2022. The researchers have used the dynamic conditional correlations (DCC)-GARCH model to determine the volatility spillover and dynamic correlation between stocks and digital currencies. Further, researchers have explored hedge ratio, portfolio weight and hedging effectiveness using the estimates of the DCC-GARCH model.

The findings indicate a negative conditional correlation between equities and cryptocurrencies before the crisis and a positive conditional correlation except for Tether during the crisis. Which implies that cryptocurrencies serve as a hedging asset in the stock market before a crisis but are not more than a diversifier during the crisis, except for Tether. Notably, Tether serves as a safe haven during times of crisis. Finally, the study suggests that Bitcoin, Ethereum, Binance Coin and Ripple are the most effective diversifiers for Indian stocks during the crisis.

This study makes several contributions to the existing literature. First, it compares the hedge and diversification roles of cryptocurrencies in the Indian stock market before and during crisis. Second, the study findings provide insights on risk hedging and can serve as a guide for investors. Third, it may help rational investors avoid underestimating risk while constructing portfolios, particularly in times of financial turmoil.