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The purpose of this paper is to fill the momentous gap by explicitly investigating the asymmetric effects of monetary policy (MP) on non-bank financial intermediation (NBFI) assets.

The authors utilized panel data from 29 countries for the period of 2012–2020 and used the quantile regression estimation. In addition to simultaneous quantile regression (SQR), the authors also employ quantile regression with clustered data (Parente and Silva, 2016) and the generalized quantile regression (GQR) method (Powell, 2020).

The empirical results show a significant heterogeneous impact of MP. While there is a positive relationship between MP and NBFI assets (“waterbed effect”) at lower quantiles of NBFI assets, at middle and higher quantiles, MP has a negative impact on NBFI assets (“search for yield” effect). The authors further find that negative impact strengthens as the quantile levels of NBFI assets rise from mid to high. Findings also reveal that “procyclicality” (except higher quantile) and “institutional demand” hypotheses hold. However, regarding “regulatory arbitrage,” mixed results are observed indicating the impact of Basel III requirements.

Previous empirical studies have concentrated on either the Dynamic Stochastic General Equilibrium (DSGE) framework or conditional mean regression approaches and delivered mixed findings of the MP effects on NBFI. The current paper takes a step toward dealing with this issue by deploying quantile regression methodology, which shows the impact of MP on NBFI at different conditional distributions (quantiles) of NBFI assets instead of just NBFI's conditional mean distribution.

This paper aims to examine whether family business groups’ (FBG) having the same network auditor among their affiliates mitigates earnings manipulation (EM).

This paper used unbalanced panel data from the years 2010–2019. The sample of the study is composed of 327 nonfinancial listed Pakistan Stock Exchange firms, consisting of 187 FBG-affiliated firms and 140 nonaffiliated firms. The ordinary least square and generalized least square regressions have been used to check the hypothesized relationship. Furthermore, the propensity score matching technique is used to ascertain comparable companies’ features and to control the potential endogeneity problem. Finally, the results are robust to various measures of EM and FBG’ proxies.

The findings of the study show that the same network auditor is reducing EM in FBG affiliates. In addition, the BIG4 same network auditors are also instrumental in constraining EM as compared to non-BIG4 audit firms. Overall, the results of this study depict that the same network auditor in FBG’s affiliated firms significantly influences EM. These results are robust with respect to generalized least squares and the endogeneity problem.

This research study has two important implications for the interested parties. First, although the authors find in this research study that the same network auditor is negatively associated with EM in the FBG-affiliated firms, however, FBG-affiliated firms might use opportunistically the real activity manipulation. Second, regulators highlight the change in audit partner/firm rotation, though the study findings indicate that regulators and practitioners may consider the benefits associated with the same network auditors for FBG.

This research study adds a new investigation to previous literature by examining the role of the same network auditors in the EM of the FBG’ affiliates. To the best of the author’s knowledge, this is the first study to bring new knowledge by investigating the role played by the same network auditors along with the BIG4 same network audit firms in constraining EM in FBG.

This study aims to investigate the impact of terrorism on financial inclusion that is achieved through automated teller machine penetration and bank branch expansion.

Eight countries that are the most terrorized countries in the world were analysed using the panel fixed effect regression model and the generalized linear model.

The results provide evidence that terrorism reduces the level of financial inclusion in countries experiencing terrorism, but the presence of strong legal institutions, accountability governance institutions and political stability governance institutions mitigate the adverse effect of terrorism on financial inclusion.

A growing literature has shown that terrorism affects the economy, yet little is known about its impact on financial inclusion.

This study aims to investigate the level of business exposure to corruption in Malaysia. The authors estimate the effect of bribe requests from business establishments by public officials and identify the level of vulnerability of businesses to such requests.

This study uses firm-level data from the World Bank Malaysia Enterprise Survey 2014. The analyses are based on binary logit, tobit and generalized ordered logit regressions.

The authors find that one-fifth of firms applying for construction permits or had visits or meetings with tax officials were expected to pay bribes. Firms’ encounters with corruption were higher still when applying for import (29%) or operating license (24.7%). About 40% of the firms considered corruption an obstacle to their business operations to the degree of moderate, major and even severe. On average, 11% of firms’ total annual sales were apportioned for informal gifts or “speed money.” The authors also find that larger, younger and women-managed/owned companies were more likely to be targeted for bribe payments. The amount of bribe paid by foreign-owned firms was higher than the local firms. Manufacturing firms had lower incidences of bribe requests, but the amount paid was higher than services-related companies. Firms run or owned by women also, on average, paid a higher amount bribe.

These findings should be taken into consideration in the efforts to eradicate corruption affecting businesses in Malaysia.

This study is unique in the sense that it is based on firm-level data for a Malaysian case.

This study aims to examine the effect of gender equality on financial stability and financial inclusion for 14 developing countries using yearly data from 2005 to 2021.

The two-stage least squares regression estimation and the generalized linear model regression estimation were used to investigate the effect of gender equality on financial stability and financial inclusion.

Gender equality has a significant positive effect on financial stability and financial inclusion in developing countries. Gender equality has a significant positive effect on financial stability and financial inclusion in African countries. Gender equality has a significant positive effect on financial stability but not on financial inclusion in non-African countries.

Little attention has been paid to the role of gender equality in promoting financial stability and financial inclusion. The authors address this issue in this study.

The purpose of this paper is to empirically investigate the impact of two monitoring mechanisms: family ownership (FO) and financial reporting quality (FRQ) on investment efficiency (IE) over the period of 2007–2014 for listed firms on the Pakistan Stock Exchange.

The authors employ two-dimensional pooled OLS cluster at the firm and year level, two-stage least square regression and feasible generalized lease square regression regression methods.

The findings suggest that higher FRQ and FO are associated with higher IE. Further, the authors report that higher FRQ and FO mitigate over- and under-investment. The impact of FRQ on IE is stronger (weaker) for family-controlled businesses. The results for these particular estimates are robust for alternative estimation techniques and measures of FRQ and FO.

The study draws on both agency and behavioral agency theories and therefore contributes to the literature in the following ways. First, the authors examine a relationship between FRQ and IE. Second, the authors test the impact of FO on IE. Third, the authors test the moderating impact of FO on the relationship between FRQ and the IE of family and non-family firms in relatively less regulated emerging market.

A whole series of food scandals indicates that misdirected incentives continue to be a source of food risks. Lacking market transparency and the opportunistic use of seemingly profitable opportunities to break the rules cause negative externalities and failure of markets. The purpose of this paper is to investigate the influence of mandatory transparency schemes on food businesses’ behavioural drivers and thus on compliance.

The authors use an adopted analytical framework developed by Hirschauer et al. (2012) as the theoretical background. The authors provide an empirical analysis of the effects of a disclosure system on businesses’ behavioural drivers in three urban parts of the German capital Berlin. The authors conducted a pen-and-paper survey among food businesses to collect data and used a generalized ordered logit regression model to analyse them.

The results show that the higher the businesses assess the possible negative effects of a negative smiley on sales, the higher the probability of compliance. Considering the immaterial behavioural drivers (protective factors) the authors find the statistical significant influence of a feeling of embarrassment in case of disclosure and the feeling of a fair evaluation on compliance. Thus, the study supports the expectation that disclosure policies affect behavioural drivers and have the potential to steer food businesses’ compliance.

The study supports the expectation that hygiene controls’ disclosure positively affects food businesses’ compliance. These findings should be taken into consideration in the ongoing discussion about disclosure. Nowadays, there is no mandatory transparency in Germany due to a strong opposition from businesses and their lobbying groups.

The authors conducted a pen-and-paper survey among food businesses in three urban districts of the German capital Berlin, namely, Pankow, Lichtenberg and Marzahn-Hellersdorf in 2014. The food authorities in these districts were the only ones in Germany that had introduced and run a mandatory disclosure system (smiley-system) for food businesses. The results of the inspections were published on the authorities’ homepages in the internet, and were displayed in businesses. Thus the data mirror the unique experiences of the only German food businesses that participated in a mandatory transparency scheme.

The purpose of this paper is to review the current literature in the field of tourism demand forecasting.

Published papers in the high quality journals are studied and categorized based their used forecasting method.

There is no forecasting method which can develop the best forecasts for all of the problems. Combined forecasting methods are providing better forecasts in comparison to the traditional forecasting methods.

This paper reviews the available literature from 2007 to 2017. There is not such a review available in the literature.

Based on the concepts confined in Ajzen's theory of planned behavior (TPB), this study investigates users' attitudes towards adoption of a blockchain-based framework in the esports industry that proposes a scheme of rewarding stakeholders for their invested attention along with blockchain technology's inherent protocols.

The present study uses RStudio (Version 1.3.1093) package RedditExtractoR for scraping and analysis of the discussion referring to the keyword “Verasity” on the Reddit website. The final corpus of 1,913 user comments was considered for the study. Sentiment analysis was initially conducted to explore the semantic orientation of the users concerning Verasity. This was followed by generalized equation modeling to analyze the impact of social media attributed to the users' commenting behavior.

The study found that Redditors, in general, have a positive attitude towards the adoption of a blockchain-based esports platform. This was validated through the empirical findings. The regression model states that there is a significant positive impact of the positivity in the comments over the Redditors' attitude and in their commenting behavior.

This study offers a new understanding of key contributing attributes of sentiment formation over social media concerning a blockchain-based esports framework. The study also establishes an empirical relationship between the social media attributes and the commenting behavior of Redditors. Finally, the current study offers valuable insights into social media engagements and the selection of highly influential Redditors for practicing marketing managers.

In India, economic reforms adopted in 1991 in form of LPG (Liberalization-Privatization-Globalization) removed numerous barriers to grow and offered opportunities to improve productivity, particularly, for the manufacturing sector. But the rationale that manufacturing sector acted as main contributor to country's economic growth via GDP growth (called “engine of growth”) for a long time in India has been challenged now a day. The growing significance of the services sector across the world exhibits that at the present time, the services sector could become the new engine of economic growth in developing economies like India. The present study seeks to bring to light whether manufacturing is acting as an “engine of growth” at inter-state level in India or not and the cross section result indicates that potency of manufacturing growth and agricultural growth is gradually slowing down as a conforming part of economic growth and service sector is taking leading position in accelerating engine of growth in India.