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This study aims to determine the mutual association between the volatility of macroeconomic indicators (MIs) and India’s tourism demand.

Bivariate generalized autoregressive conditional heteroscedasticity (GARCH) models are applied to estimate the volatility spillover effect (VSE) from one market to another. Compared to the other methods, bivariate GARCH has wide acceptance for estimating the VSE. The monthly MIs and tourism demand data (2012–2021) are gathered for empirical analysis.

The evidence of the growth-led tourism (GLT) demand is seen. In the short term, tourism-led growth (TLG) is indicated. However, this TLG does not sustain itself in the long run. There is significant evidence in favour of the VSE from the MIs to the tourism demand ensuring GLT in India.

The main implication of the current study is to ignore the short-term influence of tourism demand on the economy because it does not sustain itself in the long run. However, the long-term influence of macroeconomic indicators on tourism demand should be seen with caution. Hedging, if possible, may be considered to protect the tourism sector’s interests from adverse economic fallouts.

There is a lack of studies on the volatility (especially on the VSE) between MIs and tourism demand. Hence, this study fills the research gap and presents a novel and unique contribution to the extent of the knowledge body on the topic and significantly contributes.

双变量GARCH模型用于估计从一个市场到另一个市场的波动溢出效应(VSE)。与其他方法相比, 双变量GARCH在估计波动溢出效应时得到了广泛的接受。收集2012-2021年的月度管理信息系统和旅游需求数据进行实证分析。

该研究旨在确定宏观经济指标(MIs)的波动与印度旅游需求之间的相互关系。

GLT(增长主导的旅游需求)的证据显而易见。从短期来看, 旅游导向型增长(TLG)可行。然而, 这种旅游导向型增长并不能长期维持下去。有重要的证据支持印度管理信息系统到旅游导向型增长的旅游需求波动溢出效应。

当前研究的主要启示是忽略了旅游需求对经济的短期影响, 因为从长远来看, 它无法自我维持。然而, 宏观经济指标对旅游需求的长期影响应谨慎看待。如有可能, 可考虑对冲, 以保护旅游业的利益不受不利的经济影响。

目前对管理信息需求与旅游需求之间的波动（尤其是波动溢出效应）的研究较少。因此, 本研究填补了这个研究空白, 并对该主题知识体系的内容呈现新颖而独特的促进作用, 有显著的贡献作用。

Los modelos GARCH bivariantes se aplican para estimar el efecto indirecto de la volatilidad (VSE) de un mercado a otro. En comparación con otros métodos, el GARCH bivariante goza de gran aceptación para estimar el VSE. Para el análisis empírico se recopilan los MI mensuales y los datos de demanda turística (2012–2021).

El estudio se centra en medir la relación mutua entre la volatilidad de los indicadores macroeconómicos (MI) y la demanda turística de la India.

Se observan indicios de GLT (demanda turística impulsada por el crecimiento). A corto plazo, se evidencia el TLG (crecimiento impulsado por el turismo). Sin embargo, este TLG no se mantiene a largo plazo. Existen pruebas significativas a favor del VSE de los MI a la demanda turística que garantizan el GLT en India.

La principal implicación del presente estudio es desestimar la influencia a corto plazo de la demanda turística en la economía porque no se sostiene a largo plazo. Sin embargo, la influencia a largo plazo de los indicadores macroeconómicos en la demanda turística debe considerarse con cautela. Por ello, la cobertura de riesgos puede plantearse para proteger los intereses del sector turístico de las repercusiones económicas adversas.

Existe una carencia de estudios sobre la volatilidad (especialmente en el VSE) entre los MI y la demanda turística. En consecuencia, este estudio realiza una aportación investigadora mediante una contribución novedosa y única en la ampliación del conocimiento sobre el tema de análisis.

Nowadays, informed decision-making is catching up. Technological advancements and computing ability further fuel and facilitate this tilt toward informed decision-making. In such a scenario, data is cynosure. Therefore, the ability to gather data by a nation (incredibly accurate public data) becomes equally important and relevant, as measured by statistical performance indicators (SPI). This study aims to explore the association of financial inclusion (FI); environmental, social and governance (ESG); poverty; and SPI.

The panel data of 140 nations for nine years are gathered to explore the association of FI, ESG and poverty with the SPI. Panel data estimation is conducted to arrive at the results.

The findings of this study highlight mixed outcomes for FI. ESG is positively associated with SPI, but poverty is not associated with SPI. These findings imply that an increase in FI may reduce the statistical capacity of the nations. An increase in ESG increases the capacity. However, change in poverty does not influence the SPI. The recommendation based on this study’s outcome suggests auditing the FI and poverty vis-à-vis SPI to ensure SPI’s veracity and robustness in the long run.

The way in which the individual social, economic and environmental indicators influence the SPI needs to be tested to establish the veracity and robustness of the SPI, which is barely researched as observed in the literature.

Crude oil, gold and interest rates are some of the key indicators of the health of domestic as well as global economy. The purpose of the study is to find the shock volatility and price volatility effects of gold and crude oil market on interest rates in India.

This study finds the mutual and directional association of the volatility of gold, crude oil and interest rates in India. The bi-variate GARCH models (Diagonal VEC GARCH and BEKK GARCH) are applied on the sample data of gold price, crude oil price and yield (interest rate) gathered from November 30, 2015 to November 16, 2020 (weekly basis) to investigate the volatility association including the volatility spillover effect in the three markets.

The main findings of the study focus on having a long-term conditional correlation between gold and interest rates, but there is no evidence of volatility spillover from gold and crude oil on the interest rates. The findings of the study are of great importance especially to the policymakers, as they state that the fluctuations in prices of gold and crude oil do not adversely impact the interest rates in India. Therefore, the fluctuations in prices of gold and crude may generally impact the economy, but it has nothing to do with interest rate in particular. This implies that domestic and foreign investments in the country will not be affected by gold and crude oil that are largely driven by interest rates in the country.

Gold and crude oil are two very important commodities that have their importance not only for domestic affairs but also for international business. They veritably influence the economy including forex exchange for any nation. In addition to this, the researchers believe the findings will provide insights to policymakers, stakeholders and investors.

Gold and crude oil undoubtedly influence the exchange rates but their impact on the interest rates in an economy is not definite and remains ambiguous owing to the mixed findings of the studies. The lack of studies related to the impact of gold and crude oil on the interest rates, despite them being essentials for the health of any economy is the main motivation of this study. This study is novel as it investigates the volatility impact of crude oil and gold on interest rates and contributes to the existing literature with its findings.

The disclosures in banks have become a matter of grave concern, especially post 2008 world financial crisis. The issue further gets exacerbated because disclosers in banks are part of the III pillar of BASEL-II floated in 1999, and despite that, banks face challenges in this regard. Ownership concentration (OC) is a point of discussion because it may affect banks’ corporate governance and transparency and disclosures (T&D) issues. This study aims to determine how OC affects the transparency in the banks.

A T&D index is built into the study covering all the relevant contemporary issues regarding disclosures in banks. The panel data specification is used to find out the association of components of the OC on the T&D practices in the banks. Bank data of 34 banks are gathered for four years for the study.

It is found that except for retail investors, other classes of OC are not concerned with the disclosures in the banks even though substantial financial and non-financial interests are at stake concerning them. The study’s findings suggest framing policies and regulations considering the accountability of promoters and institutional investors for ensuring disclosures in banks.

A few proxies to measure T&D found in the literature have not been used in the study. Similarly, the definition of promoter’s class of investors can be improved.

To the best of the authors’ knowledge, no other study builds T&D for banks and examines their impact because of the ownership classes (as used by the current study). This study is unique in this aspect.

This study aims to evaluate the influence of corporate governance index (CGI), ownership concentration (OC) and other features on the dividends of listed Indian pharmaceutical companies. The other features included are leverage, excess return over cost of equity and stock-market return. This study thus helps to provide more insights on the dividend distribution issues for a shareholder in the challenging and demanding pharma industry, especially when stakes are high.

The data for all 26 pharmaceutical companies which form part of the NSE NIFTY-500 index for six years (2014–2019) is procured using Centre for Monitoring Indian Economy’s (CMIEs) Prowess database. An eight-pointer scale (unweighted scale) is used to develop the CGI. For OC, this paper considers the proportion of promoters’ shareholding, domestic institutional investors’ shareholding and foreign owners’ shareholding. Both static and dynamic panel data models are used to evaluate the effect of CGI and OC on dividends.

The panel data analysis depicts that CGI significantly positively influences the dividends of pharmaceutical companies in India. Thus, the authors find support for La Porta et al.’s outcome agency model. The results also reveal that only promoters’ holdings are significantly inversely related to dividends out of the three OC variables used for this study. This discussion implies that family-run pharmaceutical companies in India tend to retain profits instead of distributing dividends.

This study provides two direct insights for policymakers and stakeholders. First, because this study shows that CGI significantly positively influences dividends, corporate governance (CG) is an essential factor for determining dividends. Second, because the results also reveal that OC in the hands of promoters hurts dividends, it implies that the higher the promoter holding, lesser is the dividend distributed by the company. Both these results can be used as a quantitative tool by investors to assess Indian pharmaceutical companies better. However, a similar study could be directed to assess the impact of CGI and OC on dividends of other industries. Moreover, additional variables of CG and OC can also be evaluated in further detail. There is also a need to empirically validate the impact of CG and OC on a company’s performance.

The results are robust and reveal that variation in CGI does impact dividend policy. This aids in confirming that CG is a crucial aspect influencing dividends. The findings also add to the increasing studies across the globe evaluating the influence of CG and OC on dividends.

Public listing of small and medium enterprises (SMEs) stimulates unremitting transformations into their corporate governance (CG) practices. These transformations in CG are likely to impact the financial performance (FP). The current study examines how individual corporate CG mechanisms and their mutual interactions (configurational approach) stimulate the FP of listed SMEs. The study selects promoters’ ownership (PO), the board (B-INX) and information disclosures (DISC) as individual CG mechanisms. In addition, market competition (COMP) is considered a form of external governance/regulation.

The study uses five years of panel data (2018–2022) of 80 SMEs listed on the Bombay Stock Exchange’s (BSE) SME listing platform in India. Panel data fixed effects and cluster robust standard errors estimated. In addition to the impact of individual CG mechanisms, their mutual interactions (configurational approach) are tested using moderated hierarchical regression and confirmed by slope tests.

The results signify the ineffectiveness of individual CG mechanisms when acting in silos. However, their mutual interactions drive the FP. A hierarchy of results is obtained. PO is the dominant form of internal CG, negatively influencing the relevance of B-INX and DISC. B-INX tends to adhere to good governance by positively moderating the impact of DISC on FP. Lastly, COMP acts as external governance that dominates the ownership effects. Findings reveal that the interactions among individual CG mechanisms are essential to the FP of listed SMEs. Such interactions adjust the agency theory dynamics of CG in these firms.

The study takes a holistic approach to investigate the agency theory dynamics via the mutual interactions among multiple CG forms. It highlights how the presence of a dominant form of CG can adjust the financial effect of others, thereby adjusting agency theory dynamics.

These results hold practical significance for SMEs in multiple ways. SMEs should embrace configurational approach to comprehend their agency dynamics. The configurational approach of CG mechanisms is the way forward for SMEs, which are known to be financially constrained. In other words, the fact that the resiliency of SMEs is very often questioned calls for the configurational approach, where different CG mechanisms coexist to drive FP.

The study is by far the first of its kind to investigate the CG of listed SMEs against the backdrop of the configurational approach. The findings will benefit industry practitioners, academics and regulatory bodies to visualize the governance practices through the lenses of configurational approach.

A highly competitive market incentivizes private healthcare providers to deliver high quality services. The purpose of this paper is to identify the perceived expectations of a new private multi-speciality hospital in a non-metro city. To this end, the paper develops a model using identified relevant factors.

A structured questionnaire was administered to 900 people. Exploratory factor analysis and confirmatory factor analysis were then applied to the data, and partial least square-structural equation modelling was used to test the moderated mediation model.

Word-of-mouth and safety (WM) and access to the hospital and the cost of medical services are found to be important factors for the perceived expectations of the hospitals by medical facility and treatment at a hospital. High quality medical facilities can lead to improved perceived expectations of hospitals, mediated by positive WM. Levels of access to the hospital and the cost of services can significantly moderate the perceived expectations of a hospital, despite good medical facilities.

The study has implications for policymakers and hospital authorities in the context of private sector multi-speciality hospitals in non-metro cities. It will help healthcare managers and service providers to better understand customer perceived expectations, and thereby develop effective strategies for customer service. Decision-makers are encouraged to focus on positive word-of-mouth and enhancement of customer safety to bring about favourable expectations of hospitals. Beyond merely having excellent medical facilities, hospitals that ensure ease of access to the hospital and keep costs low can achieve positive consumer expectations and satisfaction levels.

The paper makes three novel contributions as follows: the mere presence of high quality medical facilities and practices does not equate to positive expectations about the hospital among the patients; access to the hospital and the cost of its services are important in bringing about positive expectations among healthcare consumers; and WM can significantly moderate positive expectations of the hospital. The authors are not aware of any of these findings being previously reported.

This paper aims to evaluate whether promoter holding influences a bank’s liquidity in India’s leading emerging market. Furthermore, it also evaluates the moderating role of risk-weighted assets (RWA) on the relationship between promoter holding and liquidity.

The data consists of 24 banks for the period of 12 years from 2010 to 2021. Static panel data is used to analyze the relationship between the liquidity coverage ratio (LCR) as the dependent variable, the promoter used as an explanatory variable and RWA used as a moderating variable in this study.

This study concludes that an increase in promoter holding helps to improve the liquidity of Indian banks. Moreover, it also shows that using RWA as a moderating term enhances the relationship between promoter holdings and Indian banks’ liquidity.

This study evaluated the impact of promoter ownership solely on the LCR, a statistic used to measure the short-term liquidity of banks in the Indian setting. Additional corporate governance factors, such as the makeup of the board of directors, relevant ownership concentration factors and external factors with the potential to affect the liquidity position of banks, could potentially be the subject of future investigations.

This paper has both managerial and policy-level implications. It shows that it is advantageous for banks’ ownership composition to include more enormous promoter holdings to enhance banks’ liquidity. Policymakers can, thus, formulate policies to encourage banks to have more extensive promoter holdings.

The impact of promoter ownership on bank liquidity has not been evaluated in earlier research projects. Furthermore, the use of RWA as a moderating variable to determine this link has not been fully investigated, particularly in the context of a developing country like India.

The purpose of the study is to explore the association of disclosures for the performance of banks in India.

Panel data analysis (utilising static and dynamic models) is applied on the data of 34 Indian banks (for time-frame 2015–2019) to explore the association of disclosures (as transparency and disclosure index) with the performance of banks (as profitability, risk-taking and technical efficiency (TE)). The regulation, competition and ownership concentration variables are taken as control variables.

None of the banks' performance measures applied in the study is significantly associated with the disclosures. This situation implies that disclosures do not impact the performance of the banks in India. The reason is that disclosures and performance are two different activities that aim at different purposes.

This study does not provide output for the association between disclosures and the value of the banks and confines itself to explore the association between disclosures and performance of the banks only. This limitation can be the future scope of the study.

There is no other study that solely focuses on exploring the association of disclosures with the performance of the banks. Disclosure has more significant importance in banks because of the inherent nature of opaqueness in banking operations. Therefore, the current study's findings have substantial implications for policymakers, managers and investors of the banks.