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The purpose of the paper is to examine the impact of infrastructure investment and development on economic growth in Brazil, Russia, India, China and South Africa (BRICS) countries. The effect is examined for each country separately and also collectively by combining each country.

Ordinary least square regression method is applied to examine the effects of infrastructure investment and development on economic growth for each country. Panel data techniques such as panel least square method, panel least square fixed-effect model and panel least square random effect model are used to examine the collective impact by combining all countries in BRICS. The dynamic panel model is also incorporated for analysis in the study.

The results of the study are mixed. The association between infrastructure investment and development and economic growth for countries within BRICS is not robust. There is an insignificant relationship between infrastructure investment and development and economic growth in Brazil and South Africa. Energy and transportation infrastructure investment and development lead to economic growth in Russia. Telecommunication infrastructure investment and development and economic growth have a negative relationship in India, whereas there is a negative association between transport infrastructure investment and development and economic growth in China. Panel data results conclude that energy infrastructure investment and development lead to economic growth, whereas telecommunication infrastructure investment and development are significant and negatively linked with economic growth.

The study is novel as time series analysis and panel data analysis are used, taking the time span for 38 years (1980–2017) to investigate the influence of infrastructure investment and development on economic growth in BRICS Countries. Time-series regression analysis is used to test the impact for individual countries separately, whereas panel data regression analysis is used to examine the impact collectively for all countries in BRICS.

Drawing on legitimacy theory, this study aims to investigate whether the benefits of the external assurance process pass beyond the current period and help firms improve corporate social responsibility (CSR) performance in the subsequent periods. Furthermore, the authors examine whether corporate governance (CG) and firm visibility moderate the relationship between assurance and CSR performance.

The authors retrieved data from Thomson Reuters from 2002 to 2019 and executed a fixed-effects (FE) panel regression analysis. The country-level sample distribution includes 63 countries with 4,625 unique firms and 29,054 data points within these countries. The authors run several robustness tests using an alternative subsample, instrumental variable regression analysis, country-industry-year FE regression analysis, excluding the financial sector and including additional control variables and regression analysis based on propensity score matching.

The findings indicate that external assurance helps firms achieve greater CSR performance in the current period and the subsequent two periods following external assurance. However, external assurance exerts its strongest positive impact on CSR performance in the current period, and its influence extends, albeit at a weaker level, to the following two periods. Furthermore, the first moderation analysis reveals that governance structure helps firms translate the assurance process into the greater social performance but does not help to achieve higher environmental performance. The second moderation analysis reveals that firm visibility/size positively moderates between the assurance process and governance and social performance but not between the assurance process and environmental performance.

Despite the concurrent association between CSR performance and assurance being examined before, the lag-lead relationship is the novelty of the study to highlight the long-term effect of assurance on CSR performance. Besides, although the direct effect of both CG practices and firm visibility on CSR performance and the external assurance process has been investigated before, the authors extend the literature by examining the moderating effect of CG practices and firm visibility on the external assurance and CSR performance relationship. This provides a better explanation of the extent to which the effect of external assurance on CSR performance is constructed and conditioned by CG practices and firm visibility, thereby drawing attention to contingencies’ role in firms’ practices.

The purpose of this paper is to investigate whether corporate dividend policy changed during the financial crisis.

For this study, a life‐cycle model is used to predict the probability that a firm pays a dividend. The data sample for this research follows that of Fama and French and of DeAngelo et al., for the time period of 2006‐2009. The panel logistic regression analysis considers the firm cluster effects and the autoregressive correlation of the firm clusters.

This study shows evidence that the probability that a firm paid a dividend declined in 2008 and 2009, even after taking the firm's financial condition into account. Furthermore, the analysis also shows that dividend policy did shift during the financial crisis.

The results of this study show that dividend policy did shift during the financial crisis. The research provides evidence that firms placed additional emphasis on financial viability after the financial crisis.

This paper examines the determinants of happiness index ratings in European countries over 8 time points using unique data from the Eurostat, World Bank and World Happiness Reports.

To examine the determinants of happiness index ratings for EU-27 countries over the period 2012–2019, panel ordinary least square and quantile regression model are used to data obtained from all sample.

Evidence from European data on happiness index generate some important key outcomes; economic outcomes levels with both current taxes and inflation rate have a positively relationship on happiness index ratings (HIR), while total employment rate has a significant negativity on HIR. Additionally, in a quantile panel regression of 27 countries, the impact of financial inclusion on happiness index looks to change with a country's level of income. On the macroeconomic level, gross domestic product (GDP) improves the happiness index for the individual under certain conditions. Thus, GDP on 0.25th quantile levels positively and significantly impacts the HIR for leader countries.

Empirical evidence suggests that macro-economic variables and the labor market proxies of the countries play a key role in determining HIR as well.

The study extends the literature on developed countries and suggestions a particular perspective on the relationship between economic outcomes and happiness index. This study offers two main originalities: it simultaneously examines the “happiness-macroeconomic level” and “happiness-employment status dimension”, and it uses a quantile regression approach, including financial inclusion variation.

The purpose of this paper is to quantify several measures to examine the determinants of profitability for the listed Indian banks. The authors include both public sector (PSUs) and private sector’s banks in the study. The authors have taken all the banks that are registered on the Bombay stock exchange (BSE) in the sample. This paper also intends to identify the association between the net profit margin (PM) and return on assets (ROA) with the several other independent variables of the Indian banking sector including private banks and public banks over the past six years starting from April 1, 2012 to March 31, 2017. Therefore, a sample of 39 listed banking companies and total 195 balanced observations are selected for the analysis purpose.

The authors have used profitability as a dependent variable represented by net PM, ROA and several financial ratios as independent variables. Financial statement and income statement of all listed banks were obtained from BSE and particular company’s website. Panel data regression has been analyzed with both the descriptive research techniques, i.e., fixed effects and random effects. The authors also verified both panel techniques with Hausman’s specification test, which is a widely used procedure for selecting a panel effect. The authors applied PP – Fisher χ², PP – Choi Z-statistics and Hadri to testing whether the data set is free from unit root problem and data set is a stationary series.

Results imply that interest expended interest earned (IEIE) and credit deposit ratio (CRDR) reduced the profitability of private banks in India. IEIE, CRDR and quick ratio (QR) reduced the profitability of public banks in India, while cash deposit ratio (CDR) and Advances to Loan Funds (ALF) increased the effectiveness of public banks. Under the total banks IEIE, CRDR reduced the profitability, on the other side, CDR, ALF and Total Debt to Owners Fund (TDOF) increased the profitability of total banks in India. Under the dependency of ROA, CRDR and TDOF reduced the return of private banks in India, while CDR, ALF and QR enhanced the profitability of private banks.

No variables found significant under public banks while taking ROA as a dependent variable. Under the overall banking data, CRDR reduced the profitability. On the other side, capital adequacy ratio and ALF increased the profitability of total banks in India. The findings of this study will support policy creators, financial executives and investors in constructing investment decisions.

Drawing on financial slack resources theory, stakeholder theory and signaling theory, the purpose of this study is to explore the two-way causality between liquidity and corporate social responsibility (CSR) by using the cash conversion cycle (CCC) as liquidity proxy and composite and individual CSR metrics.

The data were retrieved from the Thomson Reuters Eikon database covering the period between 2013 and 2019 and 20,016 firm-year observations affiliated with ten business sectors and 60 countries. The fixed-effects panel regression analysis is executed in the empirical part.

The results indicate that firms with greater liquidity proxied by shorter CCC engage with greater CSR initiatives. They also reveal that firms with greater liquidity proxied by CCC do not regard all the dimensions of environmental and social performance equivalently; they do discriminate them. In the environmental pillar, firms funnel their cash derived from shorter CCC toward eco-innovation and resource use, respectively, but not to emissions reduction. In the social pillar, higher liquidity fosters community and human rights dimensions, respectively, but not workforce and product quality. These outcomes are largely robust to alternative CSR measurement, alternative sampling and endogeneity concerns. The reverse causality confirmed that CSR promotes higher liquidity (shorter CCC). Thus, the bidirectional relationship between CSR and liquidity is confirmed.

Although the authors wanted to consider a longer study period, they were obliged to choose 2013 as the starting period because particularly CCC data together with environmental, social and governance (ESG) data were not available in the earlier years.

Among environmental indicators, fueling eco-innovation most with greater liquidity shows that firms make a strategic choice for their long-term growth and legitimacy. Besides, greater liquidity induces greater community development and more respect for human rights rather than investing in workforce and product quality. Although this might be an outcome of the realization of a deliberate strategy and good for the society, not investing in the workforce and product quality may impair the long-term survival and competitive position of the firm in the long-run in the marketplace. The implication of reverse causality is that customers purchase products and services of firms that do good for the ecology and the community and they pay faster to those companies.

This study highlights that liquidity management and CSR are closely interrelated confirming a chicken and egg story. Firms with better liquidity management are more likely to care environment and community. Besides, doing good for society pays back in the form of enhanced firm liquidity triggering customer sympathy.

This research provides new insight by examining the two-way causality of the relationship between CSR performance and liquidity, which helps highlight the impact of CSR performance on the company’s ability to manage its cash and the benefits of having high liquidity on enhancing the company’s concern about the society and environment.

The Green Revolution transformed agriculture in the Indian State of Punjab, with positive spillovers to the rest of India, but recently the state’s economy has fallen dramatically in rankings of per capita state output. Understanding the trajectory of Punjab’s economy has important lessons for all of India. Economic development is typically associated with changes in economic structure, but Punjab has remained relatively reliant on agriculture rather than shifting economic activity to manufacturing and services, where productivity growth might be greater.

The authors empirically examine structural change in the Punjab economy in the context of structural change and economic growth across the States of India. The authors calculate structural change indices and map their pattern over time. The authors estimate panel regressions and time-varying parameter regressions, as well as performing productivity change decompositions into within-sector and structural changes.

Panel regressions and time-varying-coefficient regressions suggest a significant positive influence of structural change on state-level growth. In addition, growth positively affected structural change across India’s states. The relative lack of structural change in Punjab’s economy is implicated in its relatively poor recent growth performance. Comparisons with a handful of other states reinforce this conclusion: Punjab’s lack of economic diversification is a plausible explanation for its lagging economic performance.

This paper performs a novel empirical analysis of structural change and growth, simultaneously using three different approaches: panel regressions, time-varying parameter regressions and productivity decompositions. To the best of the authors’ knowledge, it is the only paper we are aware of that combines these three approaches.

We propose a risk factor for idiosyncratic entropy and explore the relationship between this factor and expected stock returns.

We estimate a cross-sectional model of expected entropy that uses several common risk factors to predict idiosyncratic entropy.

We find a negative relationship between expected idiosyncratic entropy and returns. Specifically, the Carhart alpha of a low expected entropy portfolio exceeds the alpha of a high expected entropy portfolio by −2.37% per month. We also find a negative and significant price of expected idiosyncratic entropy risk using the Fama-MacBeth cross-sectional regressions. Interestingly, expected entropy helps us explain the idiosyncratic volatility puzzle that stocks with high idiosyncratic volatility earn low expected returns.

We propose a risk factor of idiosyncratic entropy and explore the relationship between this factor and expected stock returns. Interestingly, expected entropy helps us explain the idiosyncratic volatility puzzle that stocks with high idiosyncratic volatility earn low expected returns.

This study aims to examine the effect of corporate social responsibility (CSR) adoption on differentiation and cost leadership strategies and how governance structure moderates this CSR–strategy relationship.

The study data were retrieved from Thomson Reuters for non-financial firms between 2013 and 2019, and a fixed-effects panel regression analysis was executed.

The results indicate that CSR fosters cost leadership strategy but weakens differentiation strategy. This result supports the value generation school for cost leaders but also confirms the agency theory perspective for differentiators. Moreover, the governance structure does not moderate the relationship between a firm's CSR engagement and its business strategy, which implies a lack of corporate policies that concurrently consider both its CSR investment and strategies.

The findings of this study imply that cost leaders can integrate CSR practices into their business strategy and use their CSR engagement to increase their competitive position by stimulating cost efficiency and creating greater turnover. On the contrary, for differentiators, there is a trade-off between environmental and social engagement and business strategies. Thus, they are advised to enrich their unique product development abilities through the integration of environmental and social practices and reinforce their competitive position by addressing stakeholders' interests. The practical implication of the moderation analysis is that there is no rooted corporate policy behind the connection between CSR and firm strategy for both cost leaders and differentiators, which constitutes a missing link.

The findings of this study are of critical importance for firms, offering justification for the integration of two vital perspectives: social and environmental sustainability and financial sustainability. The moderating effect of governance performance tests the upper echelon's role in maintaining both sustainability perspectives concurrently and strengthening the legitimacy of the firms in society. Although maintaining a business strategy is important for shareholders' interests, pursuing a social and environmental sustainability strategy is crucial for meeting the expectations of all stakeholders.

Introduction: Financial failure is a concept that may arise from many internal and external factors such as operational, financial, and economic items and may incur serious losses. Over-indebtedness arising from managerial misjudgments may cause high financial distress, insufficiency, and bankruptcy. In this regard, determination of effects of capital structure decisions on financial failure risk is crucial.

Aim: The main purpose of this study is to explore the relationship between capital structure decisions and financial failure risk. For this purpose, data from Borsa İstanbul (BIST) for listed food and beverage companies for the period from 2004 to 2019 is used. Another purpose of this study is to compare the financial failure models considering capital structure theories.

Method: In the study, capital structure decisions are associated with five different financial ratios; while the financial failure risk is proxied by financial failure scores of Altman (1968), Springate (1978), Ohlson (1980), Taffler (1983), and Zmijewski (1984). Therefore, five different panel data models are used for testing these hypotheses.

Findings: The results of panel data analysis reveal that capital structure decisions have statistically significant effects on financial failure risk for all models; however, those effects vary from one financial failure model to another. Also, the results show that in the models in which financial failure risk is proxied by the Altman (1968) and Taffler (1983) scores, the aggressive financial policies increase the financial failure risk. However, regarding the models in which financial failure risk is proxied by the Springate (1978), Ohlson (1980), and Zmijewski (1984) scores, aggressive financial policies decrease the financial failure risk.

Originality of the Study: To the best of our knowledge, this chapter is original and important in terms of revealing the effects of capital structure decisions on the financial failure risk and comparing the financial failure models.

Implications: The results revealed that the risk of financial failure models represented by Altman (1968) and Taffler (1983) scores are found to be statistically stronger and more successful in meeting theoretical expectations compared to other models. Therefore, it would be more appropriate to refer Altman’s (1968) and Taffler’s (1983) financial failure models in financial failure risk measurements.